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BackgroundDigitally assisted health care services and technologies are gaining popularity. They assist patients in managing their conditions, thereby reducing the burden on health care staff. Digital health care enables individuals to receive care that is more tailored to their needs and preferences. When implemented properly, it can promote equity by considering each person’s opportunities and limitations in the context of health care needs, preferences, values, and capabilities. ObjectiveThis study aims to understand the needs, values, and preferences of individuals with chronic obstructive pulmonary disease (COPD) who are provided with a 24/7 digital health care service. Furthermore, we aim to understand the dynamics of the communities to which they belong and how these communities intersect. This will provide us with the essential knowledge to establish new methods of providing education, including the development of educational activities for health professionals to engage, train, and empower people living with COPD. MethodsThe study included 7 informants diagnosed with COPD who received 24/7 digital health care service support from a regional project in Region Zealand, Denmark. The informants were visited 4 times during 2 months, including a “Hello” visit, a day with a semistructured interview, and 2 days with field observations. The informants participated in a semistructured interview, following participant observation and an ethnographic approach. The interview content was analyzed using an inductive methodology to categorize the empirical data. ResultsUsing the inductive approach, we identified 3 main categories related to the informants’ needs, values, and preferences: (1) Health, (2) Value Creation, and (3) Resources. These 3 main categories were based on 9 subcategories: (1) health and barriers, (2) self-monitoring, (3) medication, (4) behavior, (5) motivation, (6) hobbies, (7) social networks, (8) health professionals, and (9) technology. These findings revealed that the informants placed value on maintaining their daily activities and preserving their sense of identity before the onset of COPD. Furthermore, they expressed a desire not to be defined by their COPD, as conversations about COPD often shifted away from the topic. ConclusionsDigital health solutions and the health care professionals who offer them should prioritize the individuals they serve, considering their needs, values, and preferences rather than solely focusing on the medical condition. This approach ensures the highest level of daily living and empowerment for those living with long-term health conditions. The communities surrounding individuals must engage in constant interaction and collaboration. They should work together to incorporate people’s needs, values, and preferences into future digital health services, thereby promoting empowerment and self-management. New educational programs aimed at developing the digital health service competencies of registered nurses should facilitate collaboration between the 2 communities. This collaboration is essential for supporting patients with long-term health conditions in their daily activities.

Introduction Semaglutide is increasingly used for the treatment of type 2 diabetes mellitus, overweight and other conditions. It is well known that semaglutide lowers blood glucose levels and leads to significant weight loss. Still, a systematic review has yet to investigate the adverse effects with semaglutide for all patient groups.Methods and analysis We will conduct a systematic review and search major medical databases (Cochrane Central Register of Controlled Trials, Medline, Embase, Latin American and Caribbean Health Sciences Literature, Science Citation Index Expanded, Conference Proceedings Citation Index—Science) and clinical trial registries from their inception and onwards to identify relevant randomised clinical trials. We expect to conduct the literature search in July 2024. Two review authors will independently extract data and perform risk-of-bias assessments. We will include randomised clinical trials comparing oral or subcutaneous semaglutide versus placebo. Primary outcomes will be all-cause mortality and serious adverse events. Secondary outcomes will be myocardial infarction, stroke, all-cause hospitalisation and non-serious adverse events. Data will be synthesised by meta-analyses and trial sequential analysis; risk of bias will be assessed with Cochrane Risk of Bias tool—version 2, an eight-step procedure will be used to assess if the thresholds for statistical and clinical significance are crossed, and the certainty of the evidence will be assessed by Grading of Recommendations, Assessment, Development and Evaluations.Ethics and dissemination This protocol does not present any results. Findings of this systematic review will be published in international peer-reviewed scientific journals.PROSPERO registration number CRD42024499511.

Introduction Patients with complex multimorbidity face a high treatment burden and frequently have low quality of life. General practice is the key organisational setting in terms of offering people with complex multimorbidity integrated, longitudinal, patient-centred care. This protocol describes a pragmatic cluster randomised controlled trial to evaluate the effectiveness of an adaptive, multifaceted intervention in general practice for patients with complex multimorbidity.Methods and analysis In this study, 250 recruited general practices will be randomly assigned 1:1 to either the intervention or control group. The eligible population are adult patients with two or more chronic conditions, at least one contact with secondary care within the last year, taking at least five repeat prescription drugs, living independently, who experience significant problems with their life and health due to their multimorbidity. During 2023 and 2024, intervention practices are financially incentivised to provide an extended consultation based on a patient-centred framework to eligible patients. Control practices continue care as usual. The primary outcome is need-based quality of life. Outcomes will be evaluated using linear and logistic regression models, with clustering considered. The analysis will be performed as intention to treat. In addition, a process evaluation will be carried out and reported elsewhere.Ethics and dissemination The trial will be conducted in compliance with the protocol, the Helsinki Declaration in its most recent form and good clinical practice recommendations, as well as the regulation for informed consent. The study was submitted to the Danish Capital Region Ethical Committee (ref: H-22041229). As defined by Section 2 of the Danish Act on Research Ethics in Research Projects, this project does not constitute a health research project but is considered a quality improvement project that does not require formal ethical approval. All results from the study (whether positive, negative or inconclusive) will be published in peer-reviewed journals.Trial registration number NCT05676541.

IntroductionCurrent care is inadequate for patients with complicated multimorbidity, and frequently results in fragmented care. There is no widely agreed-upon optimal organisation of healthcare services for this patient group. By drawing upon existing literature and prior studies, we developed a patient-centred complex intervention for multimorbidity (CIM) and subsequently refined it into CIM version 2 (CIM2). This paper describes the study protocol for a pilot cluster randomised control trail (RCT) evaluating the effectiveness of a general practice-based intervention.MethodsCIM2 aims to support integrated care for patients with complicated multimorbidity. CIM2 comprises five elements: 1) Training healthcare professionals, 2) an extended overview consultation in general practice, 3) a nurse care coordinator in general practice supporting the planning of the patient trajectory, 4) follow-up care services in general practice, and 5) improving the integration of care between general practice, municipality, and hospital. The pilot cluster RCT involve 350 patients with complicated multimorbidity across 14 general practices in Region Zealand and The Capital Region of Denmark. Patients are randomly assigned to either the intervention group or the usual care group. The primary outcome measure is the patients experience of quality of care measured by the Patient Assessment Chronic Illness Care Questionnaire (PACIC). Secondary outcomes include the patient's health-related quality of life, measured by the EuroQol-5 Domain questionnaire (EQ-5D-5L) and the treatment burden measured by the Multimorbidity Treatment Burden Questionnaire (MTBQ). Data on chronic conditions, healthcare utilization, and demographic information such as sex, age, and educational attainment will be collected from national registries. The outcome measures will be recorded before, during, and after implementing the intervention. Qualitative evaluation will include semi-structured interviews with healthcare professionals across various sectors as well as patients. The cost-effectiveness and Incremental Cost Effectiveness Ratio (ICER) of the CIM2 will be assessed using Diagnose Related Group rates.Trial registrationClinicalTrials.gov Identifier: NCT05406193. https://clinicaltrials.gov/study/NCT05406193.

[This corrects the article DOI: 10.1371/journal.pone.0284496.].

Multimorbidity, the presence of 2 or more chronic conditions in a person at the same time, is an increasing public health concern, which affects individuals through reduced health related quality of life, and society through increased need for healthcare services. Yet the structure of chronic conditions in individuals with multimorbidity, viewed as a population, is largely unmapped. We use algorithmic diagnoses and the K-means algorithm to cluster the entire 2015 Danish multimorbidity population into 5 clusters. The study introduces the concept of rim data as an additional tool for determining the number of clusters. We label the 5 clusters the Allergies, Chronic Heart Conditions, Diabetes, Hypercholesterolemia, and Musculoskeletal and Psychiatric Conditions clusters, and demonstrate that for 99.32% of the population, the cluster allocation can be determined from the diagnoses of 4-5 conditions. Clusters are characterized through most prevalent conditions, absent conditions, over- or under-represented conditions, and co-occurrence of conditions. Clusters are further characterized through socioeconomic variables and healthcare service utilizations. Additionally, geographical variations throughout Denmark are studied at the regional and municipality level. We find that subdivision into municipality levels suggests that the Allergies cluster frequency is positively associated with socioeconomic status, while the subdivision suggests that frequencies for clusters Diabetes and Hypercholesterolemia are negatively correlated with socioeconomic status. We detect no indication of association to socioeconomic status for the Chronic Heart Conditions cluster and the Musculoskeletal and Psychiatric Conditions cluster. Additional spatial variation is revealed, some of which may be related to urban/rural populations. Our work constitutes a step in the process of characterizing multimorbidity populations, leading to increased comprehension of the nature of multimorbidity, and towards potential applications to individual-based care, prevention, the development of clinical guidelines, and population management.

Abstract Introduction Individuals with multimorbidity often receive high numbers of hospital outpatient services in concurrent trajectories. Nevertheless, little is known about factors associated with initiating new hospital outpatient trajectories; identified as the continued use of outpatient contacts for the same medical condition. Purpose To investigate whether the number of chronic conditions and sociodemographic characteristics in adults with multimorbidity is associated with entering a hospital outpatient trajectory in this population. Methods This population-based register study included all adults in Denmark with multimorbidity on January 1, 2018. The exposures were number of chronic conditions and sociodemographic characteristics, and the outcome was the rate of starting a new outpatient trajectory during 2018. Analyses were stratified by the number of existing outpatient trajectories. We used Poisson regression analysis, and results were expressed as incidence rates and incidence rate ratios with 95% confidence intervals. We followed the individuals during the entire year of 2018, accounting for person-time by hospitalization, emigration, and death. Results Incidence rates for new outpatient trajectories were highest for individuals with low household income and ≥3 existing trajectories and for individuals with ≥3 chronic conditions and in no already established outpatient trajectory. A high number of chronic conditions and male gender were found to be determinants for initiating a new outpatient trajectory, regardless of the number of existing trajectories. Low educational level was a determinant when combined with 1, 2, and ≥3 existing trajectories, and increasing age, western ethnicity, and unemployment when combined with 0, 1, and 2 existing trajectories. Conclusion A high number of chronic conditions, male gender, high age, low educational level and unemployment were determinants for initiation of an outpatient trajectory. The rate was modified by the existing number of outpatient trajectories. The results may help identify those with multimorbidity at greatest risk of having a new hospital outpatient trajectory initiated.

Abstract Introduction Polypharmacy is a common concern, especially in the older population. In some countries more that 50% of all individuals over 60 receive five or more drugs, most often due to multimorbidity and increased longevity. However, polypharmacy is associated with multiple adverse events, and more medication may not always be the answer. The terms “appropriate” and “inappropriate” are often used to distinguish between “much” and “too much” medications in relation to polypharmacy in research and practice, but no explicit definition exists to describe what these terms encompass. The aim of this review is to unfold the different understandings of and perspectives on (in)appropriate polypharmacy and suggest a framework for further research and practice. Method A scoping review was conducted using the framework of Arksey and O’Malley and Levac et al. Pubmed, Embase, PsycINFO, CINAHL, Cochrane database, Scopus and Web of Science were searched for references in English, Danish, Norwegian and Swedish using the search string “Polypharmacy” AND “Appropriate” OR “Inappropriate”. Data was extracted on author information, aims and objectives, methodology, study population and setting, country of origin, main findings and implications, and all text including the words “appropriate,” “inappropriate,” and “polypharmacy.” Qualitative meaning condensation analysis was used and data charted using descriptive and thematic analysis. Results Of 3982 references, a total of 92 references were included in the review. Most references were from 2016-2021, from fields related to medicine or pharmacy, and occurred within primary and secondary healthcare settings. Based on the qualitative analysis, a framework were assembled consisting of Context, three domains (Standardization, Practices and Values & Concerns) and Patient Perspective. Conclusion Inappropriate polypharmacy is a concept loaded by its heterogeneity and the usefulness of a single definition is doubtful. Instead, the framework suggested in this article representing different dimensions of inappropriate polypharmacy may serve as an initial strategy for focusing research and practice on polypharmacy in old age.

Introduction: Patients with multimorbidity attend multiple outpatient clinics. We assessed the effects on hospital use of scheduling several outpatient appointments to same-day visits in a multidisciplinary outpatient pathway (MOP). Methods: This study used a quasi-experimental design. Eligible patients had multimorbidity, were aged ≥18 years and attended ≥2 outpatient clinics in five different specialties. Patients were identified through forthcoming appointments from August 2018 to March 2020 and divided into intervention group (alignment of appointments) and comparison group (no alignment). We used patient questionnaires and paired analyses to study care integration and treatment burden. Using negative binomial regression, we estimated healthcare utilisation as incidence rates ratios (IRRs) at one year before and one year after baseline for both groups and compared IRR ratios (IRRRs). Results: Intervention patients had a 19% reduction in hospital visits (IRRR: 0.81, 95% CI: 0.70–0.96) and a 17% reduction in blood samples (IRRR: 0.83, 0.73–0.96) compared to comparison patients. No effects were found for care integration, treatment burden, outpatient contacts, terminated outpatient trajectories, hospital admissions, days of admission or GP contacts. Conclusion: The MOP seemed to reduce the number of hospital visits and blood samples. These results should be further investigated in studies exploring the coordination of outpatient care for multimorbidity. Research question: Can an intervention of coordinating outpatient appointments to same-day visits combined with a multidisciplinary conference influence the utilisation of healthcare services and the patient-assessed integration of healthcare services and treatment burden among patients with multimorbidity?

BackgroundExisting research has demonstrated the potential of mHealth apps in improving the caregiving outcomes of stroke. Since most of the apps were published in commercially available app stores without explaining their design and evaluation processes, it is necessary to identify the user experience issues to promote long-term adherence and usage.ObjectiveThe purpose of this study was to utilize published user reviews of commercially available apps to determine the user experience issues to guide future app development in stroke caregiving.MethodsUser reviews were extracted from the previously identified 46 apps that support stroke caregiving needs using a python-scraper. The reviews were pre-processed and filtered using python scripts to consider English reviews that described issues faced by the user. The final corpus was categorized based on TF-IDF vectorization and k-means clustering technique, and the issues extracted from the various topics were classified based on the seven dimensions of user experience to highlight factors that may affect the usage of the app.ResultsA total of 117,364 were extracted from the two app stores. After filtration, 13,368 reviews were included and classified based on the user experience dimensions. Findings highlight critical issues that affect the usability, usefulness, desirability, findability, accessibility, credibility, and value of the app that contribute to decreased satisfaction and increased frustration.ConclusionThe study identified several user experience issues due to the inability of the app developers to understand the needs of the user. Further, the study describes the inclusion of a participatory design approach to promote an improved understanding of user needs; therefore, limiting any issues and ensuring continued use.

Background . Assessments of health-related quality of life (HRQoL) are essential in estimating quality-adjusted life-years. It is sometimes not feasible to collect primary HRQoL data, and reliable secondary sources are necessary. Current “off-the-shelf” HRQoL catalogs are based on older diagnosis classifications and include a limited number of diseases. This article aims to provide 1) a Danish EQ-5D-3L–based HRQoL catalog for 199 nationally representative chronic conditions based on ICD-10 codes and 2) a complementary model-based catalog controlling for age, sex, comorbidities, lifestyle, and health risks. Design . A total of 55,616 respondents from 3 national health survey samples were pooled and combined with 7 national registers containing patient-level information on diagnoses, health care activity, and sociodemographics. EQ-5D-3L data were converted to utility scores using the Danish EQ-5D-3L value set to estimate the mean utility for each chronic disease population. Adjusted limited dependent variable mixture models were estimated and used to provide a regression-based catalog of utilities/disutilities. Results . Diseases with the lowest mean EQ-5D score in the Danish population were systemic sclerosis (M34; score = 0.432), fibromyalgia (M797; score = 0.490), rheumatism (M790; score = 0.515), dementia (F00, G30; score = 0.546), posttraumatic stress syndrome (F431; score = 0.557), and systemic atrophies (G10-G14; score = 0.583. Based on the estimated models, the largest estimated disutilities were cystic fibrosis, cerebral palsy, depression, dorsalgia, sclerosis, and fibromyalgia. Lifestyle factors, including perceived stress, loneliness, and body mass index, were also significantly associated with low HRQoL. Conclusions . This study provides a comprehensive nationally representative catalog and a model-based catalog of EQ-5D-3L–based HRQoL scores for Denmark that can be used to describe aspects of disease burden and allocate resources within health care. Additional Stata programs are also provided to facilitate predictions in other populations. Highlights A Danish national representative catalog of health-related quality-of-life scores for 199 chronic conditions is presented, which provides population estimates for chronic conditions subgroups that can be used for health economic evaluation. Two separate regression models of EQ-5D-3L utility scores with different sets of control variables are estimated to allow researchers to adjust for differences in the composition of the subgroups and provide a tool that can be used in other settings. Results indicate that health-related quality of life varies across disease groups but is lowest for renal disease, mental and behavioral disorders, benign neoplasms and diseases of the blood, digestive systems, and nervous systems. Health risks and lifestyle factors such as perceived stress, loneliness, and a large body mass index are highly correlated with health-related quality of life, and, in many cases, the correlation is higher than with individual diseases.

Background and aimWith multimorbidity becoming increasingly prevalent in the ageing population, addressing the epidemiology and development of multimorbidity at a population level is needed. Individuals subject to chronic heart disease are widely multimorbid, and population-wide longitudinal studies on their chronic disease trajectories are few.MethodsDisease trajectory networks of expected disease portfolio development and chronic condition prevalences were used to map sex and socioeconomic multimorbidity patterns among chronic heart disease patients. Our data source was all Danish individuals aged 18 years and older at some point in 1995-2015, consisting of 6,048,700 individuals. We used algorithmic diagnoses to obtain chronic disease diagnoses and included individuals who received a heart disease diagnosis. We utilized a general Markov framework considering combinations of chronic diagnoses as multimorbidity states. We analyzed the time until a possible new diagnosis, termed the diagnosis postponement time, in addition to transitions to new diagnoses. We modelled the postponement times by exponential models and transition probabilities by logistic regression models.FindingsAmong the cohort of 766,596 chronic heart disease diagnosed individuals, the prevalence of multimorbidity was 84.36% and 88.47% for males and females, respectively. We found sex-related differences within the chronic heart disease trajectories. Female trajectories were dominated by osteoporosis and male trajectories by cancer. We found sex important in developing most conditions, especially osteoporosis, chronic obstructive pulmonary disease and diabetes. A socioeconomic gradient was observed where diagnosis postponement time increases with educational attainment. Contrasts in disease portfolio development based on educational attainment were found for both sexes, with chronic obstructive pulmonary disease and diabetes more prevalent at lower education levels, compared to higher.ConclusionsDisease trajectories of chronic heart disease diagnosed individuals are heavily complicated by multimorbidity. Therefore, it is essential to consider and study chronic heart disease, taking into account the individuals' entire disease portfolio.

BackgroundGlobally, stroke is a leading cause of death and disability, with most care undertaken by caregivers who are generally family and friends without prior experience of care. The lack of experience or unpreparedness results in feelings of uncertainty, burnout, anxiety, burden, etc. Hence, it is necessary to identify the needs of caregivers to better support them in their caregiving journey and improve the quality of care delivered.MethodsThe study employed a grounded theory methodology that utilizes information gathered from literature reviews and social media to represent the needs and create a storyline visually. The storyline is further refined and evaluated using an online survey of 72 participants recruited through online stroke caregiving communities.ResultsThe study identified four core categories of needs: (i) Information: sufficient information delivered in layman's terms based on the individual situation of the caregiver and survivor through oral and hands-on demonstrations, (ii) Involvement: inclusion in the decision-making processes at different stages of recovery through face-to-face communication at the hospital, (iii) Self-care: ability to engage in work and leisure activities, (iv) Support: receive support in the form of resources, services and finances from different other stakeholders.ConclusionsThere is a need to create a caregiver-centered approach in stroke recovery to ensure limited obstruction to care and reduced uncertainty in stroke recovery. Moreover, through the inclusion of caregivers in stroke recovery, it may be possible to reduce the burden of care to the caregiver and ensure the satisfaction of the healthcare system throughout stroke recovery.

Abstract Background The Patient Assessment of Chronic Illness Care (PACIC) scale is the most appropriate for assessing self-reported experience in chronic care. We aimed to validate the PACIC questionnaire by (1) assess patients’ perception of the quality of care for Danish patients with type 2 diabetes, (2) identify which factors are most important to the quality of care designated by the five subscales in PACIC, and (3) the validity of the questionnaire. Methods A survey of 7,745 individuals randomly selected from the National Diabetes Registry. Descriptive statistics inter-item and item-rest correlations and factor analysis assessed the PACIC properties. Quality of care was analysed with descriptive statistics; linear and multiple regression assessed the effect of forty-nine covariates on total and subscale scores. Results In total, 2,696 individuals with type 2 diabetes completed ≥ 50 % of items. The floor effect for individual items was 8.5–74.5 %; the ceiling effect was 4.1–47.8 %. Cronbach’s alpha was 0.73–0.86 for the five subscales. The comparative fit index (CFI) and the Tucker–Lewis index (TLI) were 0,87, and 0,84, respectively. Mean PACIC score was 2.44 (± 0.04). Respondents, who receive diabetes care primarily at general practice and outpatient clinics had higher scores compared to those receiving care at a private specialist. Receiving rehabilitation was followed by higher scores in all subscales. Those 70 years or older had lower mean total and subscale scores compared to younger patient groups. A higher number of diabetes visits were associated with higher total scores; a higher number of emergency department visits were associated with lower total scores. The effects of healthcare utilisation on subscale scores varied. Conclusions These results provide insight into variations in the quality of provided care and can be used for targeting initiatives towards improving diabetes care. Factors important to the quality of perceived care are having a GP or hospital outpatient clinic as the primary organization. Also having a higher number of visits to the two organizations are perceived as higher quality of care as well as participating in a rehabilitation program. Floor and ceiling effects were comparable to an evaluation of the PACIC questionnaire in a Danish population. Yet, floor effects suggest a need for further evaluation and possible improvement of the PACIC questionnaire in a Danish setting. Total PACIC scores were lower than in other healthcare systems, possible being a result of different contexts and cultures, and of a need for improving diabetes care in Denmark.

Objectives To categorize and examine the effectiveness regarding health-related quality of life (HRQoL), mental health, and mortality of care models for persons with multimorbidity in primary care, community care, and hospitals through a systematic review. Methods We searched PubMed, Embase, and Cochrane Central Register of Controlled Trials up to May 2020. One author screened titles and abstracts, and to validate, a second author screened 5% of the studies. Two authors independently extracted data and assessed risk of bias using the tool by the Cochrane Effective Practice and Organisation of Care group. Study inclusion criteria were (1) participants aged ≥ 18 years with multimorbidity; (2) referred to multimorbidity or two or more specific chronic conditions in the title or abstract; (3) randomized controlled design; and (4) HRQoL, mental health, or mortality as primary outcome measures. We used the Foundation Framework to categorize the models and the PRISMA-guideline for reporting. Results In this study, the first to report effectiveness of care models in patients with multimorbidity in hospital settings, we included 30 studies and 9,777 participants with multimorbidity. 12 studies were located in primary care, 9 in community care, and 9 in hospitals. HRQoL was reported as the primary outcome in 12 studies, mental health in 17 studies, and mortality in three studies—with significant improvements in 5, 14, and 2, respectively. The studies are presented according to settings. Conclusions Although 20 of the care models reported positive effects, the variations in populations, settings, model elements, and outcome measures made it difficult to conclude on which models and model elements were effective.

Mobile health smartphone applications (mHealth-apps) are increasingly emerging to assist children's and young people's management of chronic conditions. However, difficulties persist in applying design approaches in mHealth projects that return apps that are useful to this group. In this article, we explore ethnographically two self-proclaimed ‘user-driven’ projects designing mHealth apps for Danish patients below the age of 18 living with, respectively, haemophilia and rheumatoid arthritis. These projects initially included the perspectives of children and young people to inform the designs, however, eventually launched the final apps for adult patients only. Through a concept of ‘critical user-configuration’, we examine the projects’ challenges with attuning the designs to children and young people and how these drove their exclusion as users of the emerging mHealth apps. Critical user-configuration draws attention to critical moments in design practices where significant shifts in user-configurations take place, shaping who can become a user. More specifically, we uncover three critical moments: where mHealth projects expand the group of prospective users; where test subjects are selected; and where data governance systems and digital health infrastructures are mobilised in the design process. Throughout these critical moments, there is a drift from user-driven to data-driven design approaches which increasingly exclude groups of users who are less datafiable – in our case children and young people. We argue that besides giving voice to minors in mHealth design processes, we need to be mindful of the design practices that become decisive for – often implicitly – who can be configured as a user.

Background: Many patients with multimorbidity have appointments and parallel trajectories in several outpatient clinics across medical specialties. This organisation may disintegrate care and challenges the navigation of the healthcare system. Methods: This study explored the feasibility of an intervention targeting patients seen in several outpatient clinics for multiple diseases. The intervention aimed to coordinate outpatient appointments through enhanced collaboration across medical specialties. Feasibility and process were assessed through mixed methods by tracking the intervention through prospectively collected data and through semi-structured interviews with patients and healthcare professionals. Results: A multidisciplinary outpatient pathway was established as an intervention. Appointments for different medical specialties were scheduled on the same day, information was rapidly transferred to the receiving outpatient clinic, and a multidisciplinary conference resulted in the circulation of a joint summary. In the first year, 20% of eligible patients were enrolled. Appointments were aligned in 15% of patients, and blood samples were reduced by 29%. Overall, intervention components were delivered as intended and seemed acceptable, although the patient selection needed refinement. Conclusion: It seems feasible to set up an intervention for patients attending several hospital outpatient clinics. Future interventions should focus on selecting patients in greatest need for alignment of appointments.

Background Caregiving in stroke is complex, with most carers having little to no preparation to care for individuals with a history of stroke, leading to emotional impact. Technologies such as Mobile Health can provide the carer with real-time support and prepare the carer to assume their new roles and responsibilities. Objectives To perform a heuristic evaluation of mHealth interventions designed to support carers of individuals with a history of stroke and determine the user preferences in stroke caregiving technology to inform future researchers and developers regarding the best practices to support these individuals. Methods Twenty adults (i.e. 10 usability experts and 10 carers) participated in an iterative user-centred design study that focused on developing and modifying the mHealth intervention (StrokeCaregiver (SeCr)) created to support stroke caregiving. The intervention was repeated in four cycles, including two cycles with five usability experts each and five carers each. Results SeCr was iteratively improved to develop a highly usable product in multiple cycles. Participants demonstrated critical needs in personalized information support, communication with their healthcare needs, and the trust of the user, content, and developer. These critical needs are required to be met to promote long-term acceptance and adherence. Conclusions While SeCr was developed to address the needs of carers of individuals with a history of stroke, several considerations must be made to ensure it can be used in a real-world setting. Researchers and developers can use co-design or living lab approaches to further meet the needs and expectations of the carer and enable these individuals to be better prepared for stroke caregiving.

BackgroundReal-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources.AimsThe aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers.MethodsThe study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates.ResultsThe prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F-mental and behavioural (ratio 2.5), E-endocrine, nutritional and metabolic disease (ratio 2.4), I-diseases of the circulatory system (ratio 2.1) and, K-diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3-3.1).ConclusionsA nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.

BackgroundReal-world data on multimorbidity represents an important but underutilised source of evidence for the planning of healthcare services, including prevention, treatments, and health economic modelling.AimsThis study aimed to estimate means of multimorbidity and provide associated prevalence rates and frequencies between 199 x 199 chronic conditions and disease groups based on the total adult Danish population and sex, age, and educational attainment. Thus, this study provides an off-the-shelf catalogue for use in treatments and planning by clinicians, decision-makers and researchers.MethodsThe study population contained all Danish residents above 16 years on 1 January 2013 (n = 4,555,439). The data was based on the linkage of six national registers covering hospital contacts, services in general practice, filled-in out-of-hospital prescriptions, and educational attainments. The health registers were used to identify the 199 chronic conditions based on the ICD-10 classification system.ResultsThe mean number of chronic conditions (NCC) was 2.2. The mean increased with age, women had a higher mean than men, and there was a social gradient with the mean increasing with lower educational attainment. The mean NCC varied from 3.3-9.8 among all conditions. Across disease groups, the highest mean NCC were found within disease group N (chronic renal failure, mean = 8.8), D (in situ and benign neoplasms; mean = 6.5), K (diseases of the digestive system; mean = 5.7), and H (diseases of the eye and the ear; mean = 5.6). The highest mean NCC among the 29 common diseases was heart failure, ischemic heart diseases, angina pectoris, stroke, and dementia, with a mean above 6.5. Several prevalent conditions like hypertension, arthritis, chronic lower respiratory diseases, depression, type 2 diabetes, and overweight transcended other conditions regarding the associated prevalence rates. As one of the most frequent, hypertensive diseases were highly associated with arthritis (50.4%), depression (37.4%), type 2 diabetes (75.4%), cancers (49.7%), and being overweight (39.7%)-meaning that 50.4% of people with arthritis, 37.4% of people with depression and so on also had hypertensive diseases. The largest differences in means between individuals with no educational attainment and individuals with high educational attainment were found within disease groups J (diseases of the respiratory system, ratio = 1.8), Q (congenital malformations, deformations, and chromosomal abnormalities, ratio = 1.7), and B (viral hepatitis and human immunodeficiency virus disease, ratio = 1.7).ConclusionsThe current study provides a nationwide off-the-shelf catalogue of multimorbidity means and real-world associations estimates of 199+ chronic conditions for future clinical treatments and health care systems planning. The findings described are just one example of numerous results and underline that multimorbidity is highly prevalent in the adult Danish population and that it is a vital condition transcending all future medical treatment. The data offer essential information on the multimorbidity burden of disease in future differentiated treatments, healthcare planning, and economic, aetiological, and other research.

Background Caregivers often use the internet to access information related to stroke care to improve preparedness, thereby reducing uncertainty and enhancing the quality of care. Method Social media communities used by caregivers of people affected by stroke were identified using popular keywords searched for using Google. Communities were filtered based on their ability to provide support to caregivers. Data from the included communities were extracted and analysed to determine the content and level of interaction. Results There was a significant rise in the use of social media by caregivers of people affected by stroke. The most popular social media communities were charitable and governmental organizations with the highest user interaction–this was for topics related to stroke prevention, signs and symptoms, and caregiver self-care delivered through video-based resources. Conclusion Findings show the ability of social media to support stroke caregiver needs and practices that should be considered to increase their interaction and support.

Globally, there is a rise in incident cases of stroke, particularly in low- and middle-income countries, due to obesity-related and lifestyle risk factors, including health issues such as high cholesterol, diabetes and hypertension. Since the early 20th century, stroke mortality has declined due to proper management of the risk factors and improved treatment practices. However, despite the decline in mortality, there is an increase in the levels of disability that requires long-term support. In countries such as Australia and Denmark, where most care is provided within the community; family members, generally spouses, assume the role of caregiver, with little to no preparation that affects the quality of care provided to the person living with stroke. While past research has highlighted aspects to improve caregiver preparedness of stroke and its impact on care; health planning, recovery, and public health policies rarely consider these factors, reducing engagement and increasing uncertainty. Hence, there is a need to focus on improving strategies during recovery to promote caregiver engagement. In this study, we, therefore, try to understand the needs of the caregiver in stroke that limit engagement, and processes employed in countries such as Australia and Denmark to provide care for the person with stroke. Based on our understanding of these factors, we highlight the potential opportunities and challenges to promote caregiving engagement in these countries.

The rise in the number of cases of stroke has resulted in a significant burden on the healthcare system. As a result, the majority of care for the person living with stroke occurs within the community, resulting in caregivers being a central and challenged agent in care. To better support caregivers during the recovery trajectory poststroke, we investigated the role of health technologies to promote education and offer various kinds of support. However, the introduction of any new technology comes with challenges due to the growing need for more user-centric systems. The integration of user-centric systems in stroke caregiving has the potential to ensure long-term acceptance, success, and engagement with the technology, thereby ensuring better care for the person living with stroke. We first briefly characterize the affordances of available technologies for stroke caregiving. We then discuss key methodological issues related to the acceptance to such technologies. Finally, we suggest user-centered design strategies for mitigating such challenges.

Aim: To investigate the association between clusters of conditions and psychological well-being across age groups. Method: This cross-sectional study used data collected in the Danish population-based Lolland-Falster Health Study. We included adults over the age of 18 years. Self-reported chronic conditions were divided into 10 groups of conditions. The primary outcome was psychological well-being (the WHO-5 Well-Being Index). Factor analysis constructed the clusters of conditions, and regression analysis investigated the association between clusters and psychological well-being. Results: Of 10,781 participants, 31.4% were between 18 and 49 years, 35.7% were between 50 and 64 years and 32.9% were above ≥65 years. 35.2% had conditions represented in 1 and 32.9% in at least 2 of 10 condition groups. Across age groups, living with one or more chronic conditions was associated with poorer psychological well-being. Two chronic condition patterns were identified; one comprised cardiovascular, endocrine, kidney, musculoskeletal and cancer conditions, the second mental, lung, neurological, gastrointestinal and sensory conditions. Both patterns were associated with poorer psychological well-being (Pattern 1: −4.5 (95% CI: −5.3 to −3.7), Pattern 2: −9.1 (95% CI −13.8 to −8.2). For pattern 2, participants ≥65 years had poorer psychological well-being compared to younger (−12.6 (95% CI −14.2 to −11.0) vs −6.6 (95% CI: −7.8 to −5.4) for 18–49 years and −8.7 (95% CI: −10.1 to −7.3) for 50–64 years, interaction: p ≤ 0.001) Conclusion: Living with one or more chronic conditions is associated with poorer psychological well-being. Findings point toward a greater focus on supporting psychological well-being in older adults with both mental and somatic conditions.

Aim: To assess the feasibility of a patient-centered complex intervention for multimorbidity (CIM) based on general practice in collaboration with community health-care centers and outpatient clinics. Methods: Inclusion criteria were age ≥18 years, diagnoses of two or more of three chronic conditions (diabetes, chronic obstructive pulmonary disease (COPD), and chronic heart conditions), and a hospital contact during the previous year. The CIM included extended consultations and nurse care manager support in general practice and intensified cross-sectorial collaboration. Elements included a structured care plan based on patients’ care goals, coordination of services, and, if appropriate, shifting outpatient clinic visits to general practice, medication review, referral to rehabilitation, and home care. The acceptability dimension of feasibility was assessed with validated questionnaires, observations, and focus groups. Results: Forty-eight patients were included (mean age 72.2 (standard deviation (SD) 9.5, range 52–89); 23 (48%) were men. Thirty-seven patients had two diseases; most commonly COPD and cardiovascular disease (46%), followed by diabetes and cardiovascular disease (23%), and COPD and diabetes (15%). Eleven (23%) patients had all three conditions. Focus group interviews with patients with multimorbidity identified three main themes: (1) lack of care coordination existed across health-care sectors before the CIM, (2) extended consultations provided better care coordination, and (3) patients want to be involved in planning their treatment and care. In focus groups, health-care professionals discussed two main themes: (1) patient-centered care and (2) culture and organizational change. Completion rates for questionnaires were 98% (47/48). Conclusions: Patients and health-care professionals found the CIM acceptable.

Abstract Background Rehabilitation of patients with chronic obstructive pulmonary disease (COPD) is a key treatment in COPD. However, despite the existing evidence and a strong recommendation from lung associations worldwide, 50% of patients with COPD decline to participate in COPD rehabilitation program and 30–50% drop-out before completion. The main reasons are severe symptoms, inflexible accessibility and necessity for transportation. Currently there are no well-established and evident rehabilitation alternatives. Supervised online screen rehabilitation could be a useful approach to increase accessibility and compliance. The aim of this multicenter RCT study is to compare the potential benefits of a 10-week online COPD rehabilitation program (CORe) with conventional outpatient COPD rehabilitation (CCRe). Methods This study is a randomized assessor- and statistician blinded superiority multicenter trial with two parallel groups, employing 1:1 allocation to the intervention and the comparison group.On the basis of a sample size calculation, 134 patients with severe or very severe COPD and eligible to conventional hospital based outpatient COPD rehabilitation will be included and randomized from eight different hospitals. The CORe intervention group receives group supervised resistance- and endurance training and patient education, 60 min, three times/week for 10 weeks at home via online-screen. The CCRe comparison group receives group based supervised resistance- and endurance training and patient education, 90 min, two times/week for 10 weeks (two hospitals) or 12 weeks (six hospitals) in groups at the local hospital. The primary outcome is change in the 6-min walking distance after 10/12 weeks; the secondary outcomes are changes in 30 s sit-to-stand chair test, physical activity level, symptoms, anxiety and depression symptoms, disease specific and generic quality of life. Primary endpoint is 10/12 weeks from baseline, while secondary endpoints are 22, 36, 62 weeks from baseline assessments. Discussion The study will likely contribute to knowledge regarding COPD tele-rehabilitation and to which extent it is more feasible and thereby more efficient than conventional COPD rehabilitation in patients with severe and very severe COPD. Trial registration Clinicaltrials.gov Identifier: NCT02667171 . Registration data: January 28th 2016.

Abstract Background Multimorbidity is becoming increasingly prevalent and presents challenges for healthcare providers and systems. Studies examining the relationship between multimorbidity and quality of care report mixed findings. The purpose of this study was to investigate quality of care for people with multimorbidity in the publicly funded healthcare system in Denmark. Methods To investigate the quality of care for people with multimorbidity different groups of clinicians from the hospital, general practice and the municipality reviewed records from 23 persons with multimorbidity and discussed them in three focus groups. Before each focus group, clinicians were asked to review patients’ medical records and assess their care by responding to a questionnaire. Medical records from 2013 from hospitals, general practice, and health centers in the local municipality were collected and linked for the 23 patients. Further, two clinical pharmacologists reviewed the appropriateness of medications listed in patient records. Results The review of the patients’ records conducted by three groups of clinicians revealed that around half of the patients received adequate care for the single condition which prompted the episode of care such as a hospitalization, a visit to an outpatient clinic or the general practitioner. Further, the care provided to approximately two-thirds of the patients did not take comorbidities into account and insufficiently addressed more diffuse symptoms or problems. The review of the medication lists revealed that the majority of the medication lists contained inappropriate medications and that there were incongruity in medication listed in the primary and secondary care sector. Several barriers for providing high quality care were identified. These included relative short consultation times in general practice and outpatient clinics, lack of care coordinators, and lack of shared IT-system proving an overview of the treatment. Conclusions Our findings reveal quality of care deficiencies for people with multimorbidity. Suggestions for care improvement for people with multimorbidity includes formally assigned responsibility for care coordination, a change in the financial incentive structure towards a system rewarding high quality care and care focusing on prevention of disease exacerbation, as well as implementing shared medical record systems.

Abstract Background Type 2 diabetes is a progressive chronic illness that will affect more than 500 million people worldwide by 2030. It is a significant cause of morbidity and mortality. Finding the right care management for diabetes patients is necessary to effectively address the growing population of affected individuals and escalating costs. Patient education is one option for improving patient self-management. However, there are large discrepancies in the outcomes of such programs and long-term data are lacking. We assessed the short and long-term outcomes of diabetes patient education using the health education impact questionnaire (HeiQ). Methods We conducted a observational cohort study of 83 type 2 diabetes patients participating in patient education programs in Denmark. The seven-scale HeiQ was completed by telephone interview at baseline and 2 weeks (76 participants, 93%) and 12 months (66, 80%) after the patient education ended. Changes over time were assessed using mean values and standard deviation at each time point and Cohen effect sizes. Results Patients reported improvements 2 weeks after the program ended in 4 of 7 constructs: skills and technique acquisition (ES = 0.59), self-monitoring and insight (ES = 0.52), constructive attitudes and approaches (ES = 0.43) and social integration and support (ES = 0.27). After 12 months, patients reported improvements in 3 of 7 constructs: skills and technique acquisition (ES = 0.66), constructive attitudes and approaches (ES = 0.43), and emotional wellbeing (ES = 0.44). Skills and technique showed the largest short- and long-term effect size. No significant changes were found in health-related activity or positive and active engagement in life over time. Conclusion After 12 months, diabetes patients who participated in patient education demonstrated increased self-management skills, improved acceptance of their chronic illness and decreased negative emotional response to their disease. Applying HeiQ as an outcome measure yielded new knowledge as to what patients with diabetes can obtain by participating in a patient education.

Abstract Background Prevalences of multimorbidity vary between European studies and several methods and definitions are used. In this study we examine the prevalence of multimorbidity in relation to age, gender and educational attainment and the association between physical and mental health conditions and educational attainment in a Danish population. Methods A cross-sectional design was used to study the prevalence of multimorbidity, defined as two or more chronic conditions, and of comorbid physical and mental health conditions across age groups and educational attainment levels among 1,397,173 individuals aged 16 years and older who lived in the Capital Region of Denmark on January 1st, 2012. After calculating prevalence, odds ratios for multimorbidity and mental health conditions were derived from logistic regression on gender, age, age squared, education and number of physical conditions (only for odds ratios for mental health conditions). Odds ratios for having multimorbidity and mental health conditions for each variable were adjusted for all other variables. Results Multimorbidity prevalence was 21.6%. Half of the population aged 65 and above had multimorbidity, and prevalence was inversely related to educational attainment: 26.9% (95% CI, 26.8–26.9) among those with lower secondary education versus 13.5% (95% CI, 13.5–13.6) among people with postgraduate education. Adjusted odds ratios for multimorbidity were 0.50 (95% CI, 0.49–0.51) for people with postgraduate education, compared to people with lower secondary education. Among all population members, 4.9% (95% CI, 4.9–4.9) had both a physical and a mental health condition, a proportion that increased to 22.6% of people with multimorbidity. Physical and mental health comorbidity was more prevalent in women (6.33%; 95% CI, 6.3–6.4) than men (3.34%; 95% CI, 3.3–3.4) and approximately 50 times more prevalent among older persons than younger ones. Physical and mental health comorbidity was also twice as prevalent among people with lower secondary education than among those with postgraduate education. The presence of a mental health condition was strongly associated with the number of physical conditions; those with five or more physical conditions had an adjusted odds ratio for a mental health condition of 3.93 (95% CI, 3.8–4.1), compared to those with no physical conditions. Conclusion Multimorbidity prevalence and patterns in the Danish population are comparable to those of other European populations. The high prevalence of mental and physical health conditions highlights the need to ensure that healthcare systems deliver care that takes physical and mental comorbidity into account. Further, the higher prevalence of multimorbidity among persons with low educational attainment emphasizes the importance of having a health care system providing care that is beneficial to all regardless of socioeconomic status.

Introduction: The prevalence of multimorbidity is high in Denmark. Care provision in multimorbid patients is often characterized to be fragmented, the quality level is not satisfactory, and patients suffer from both disease and treatment burden. We previously reported a patient centered organizational model aiming to improve quality and coordination of care for complex multimorbid patients followed in general practice in Denmark. The basic elements of the model are: extension of consultation time in general practice; establishment of a care manager function; improved inter-sectorial communication of care plans; increased rates of referrals to rehabilitation and medication review; transfer of ambulatory controls to general practice. The objective of this study is to assess feasibility of the organizational model for further evaluation in a RCT. Methods: The model was implemented in a large general practice clinic in Copenhagen. The patients were selected from a patient list generated by the practice’s IT provider. Data on chronic conditions, demographics, and medical measures was collected. Patients answered PACIC and EDQ5 questionnaires. Further, focus group interviews were performed with patients and professionals to obtain information on important subjects such as patient centeredness, level of integration of care, information flow, and medication satisfactory and safety. Results: Forty-six patients with at least two of the three selected chronic conditions (diabetes, heart and lung disease) were included in the study. The mean (SD) age of the included patients was 72 years (9,3); 48% were men. The PACIC questionnaire showed fair perceived quality of care, the EDQ5 questionnaire showed very low health related quality of life. Focus group interviews with the patients revealed that they were satisfied with longer consultation time; perception of the care coordination initiatives depended on the practice personnel involved. Focus group interviews with the professionals pointed towards communication barriers between general practice and ambulatories; emphasized the importance of patient centered approach to realize patients’ daily life problems; and elucidated ambiguity of longer consultation time as both necessary for good care quality and often practically impossible on a daily basis. Discussion: Studies show that organizational innovations in general practice, such as extended consultation time or patient care reviews, can improve continuity of care for patients with multimorbidity. Conclusions: The developed patient centered organizational model for multimorbidity based in general practice in Denmark should undergo a focused revision for a RCT assessment. Lessons learned: The development of feasible organizational innovations in existing health- and social care systems is a task that requires collaborative actions and several iterations. Limitations: The developed model was tested in one large general practice clinic where several GPs, nurses and other practice personnel collaborate. As general practices in Denmark are heterogeneous, precautions should be taken with respect to generalization of the conclusions. Suggestions for future research: Model refinements and improvements important in the second iteration have been proposed: improve time allocation between GPs and practice personnel; share patients electronic medical records between professionals the different health organizations and social care sector; develop collaboration between the different organizations; and implement of strong leadership.

Background: Several studies have shown that the use of pulmonary medication is widespread and often initiated without initial spirometry. Early detection of chronic obstructive pulmonary disease (COPD) by spirometry in General Practice is essential for an early and correct implementation of medical treatment. Aim: The aim of the present study was to evaluate the use of regular therapy following diagnostic spirometry for COPD in General Practice from February 2008 to February 2009. Method: Spirometry data and results were linked through Statistics Denmark with information from the Register of Medicinal Product Statistics using the unique personal identification code. Data were analysed to evaluate the impact of screening on use of regular COPD therapy. Primary outcome was initiation of regular therapy following COPD diagnosis with spirometry. Results: In a population of 3,376 individuals at risk, 1,458 underwent spirometric assessment with 631 being diagnosed with COPD; 110 of those received regular therapy before assessment with this figure increasing to 161 after spirometry. Of 827 participants not receiving a COPD diagnosis, 36 received regular therapy prior to assessment and 42 received regular therapy after spirometry despite no established COPD diagnosis. Conclusion: There is a significant chance of receiving regular therapy after being diagnosed with COPD. However, a large proportion of subjects diagnosed with COPD did not receive regular therapy following diagnosis. Efforts should be made to ensure correct diagnosis and correct medical treatment according to guidelines in individuals with COPD.

Background Studies assessing institutional performance regarding quality of care are frequently performed using single-level statistical analyses investigating differences between provider averages of various quality indicators. However, such analyses are insufficient as they do not consider patients’ heterogeneity around those averages. Hence, we apply a multilevel analysis of individual-patient heterogeneity that distinguishes between ‘general’ (‘latent quality’ or measures of variance) and ‘specific’ (measures of association) contextual effects. We assess general contextual effects of the hospital departments and the specific contextual effect of a national accreditation programme on adherence to the standard benchmark for albuminuria measurement in Danish patients with diabetes.Methods From the Danish Adult Diabetes Database, we extracted data on 137 893 patient cases admitted to hospitals between 2010 and 2013. Applying multilevel logistic and probit regression models for every year, we quantified general contextual effects of hospital department by the intraclass correlation coefficient (ICC) and the area under the receiver operating characteristic curve (AUC) values. We evaluated the specific effect of hospital accreditation using the ORs and the change in the department variance.Results In 2010, the department context had considerable influence on adherence with albuminuria measurement (ICC=21.8%, AUC=0.770), but the general effect attenuated along with the implementation of the national accreditation programme. The ICC value was 16.5% in 2013 and the rate of compliance with albuminuria measurement increased from 91.6% in 2010 to 96% in 2013.Conclusions Parallel to implementation of the national accreditation programme, departments’ compliance with the standard benchmark for albuminuria measurement increased and the ICC values decreased, but remained high. While those results indicate an overall quality improvement, further intervention focusing on departments with the lowest compliance could be considered.

BackgroundPeople with multimorbidity have reduced functional capacity, lower quality of life, higher mortality rates and use healthcare resources more intensively than healthy people or those with a single chronic condition. Multimorbidity was defined as the coexistence of two or more chronic conditions in the same person. The aim of this study was to explore associations between multimorbidity and use of healthcare services and the impact of socioeconomic status on utilization of hospitalizations and bed days.MethodsThe study population included all individuals aged 16 years and older who lived in the Capital Region of Denmark on January 1st, 2012. Data on chronic conditions, use of healthcare services and demographics were obtained from Danish national administrative and health registries. Zero-inflated models were used to calculate anticipated annual use of hospitalizations and bed days.FindingsThe study population comprised 1,397,173 individuals; the prevalence of multimorbidity was 22%. Prevalence was inversely related to educational attainment. For people with multimorbidity, utilization of hospitalizations and bed days increased approximately linearly with the number of chronic conditions. However, a steep increase in utilization of bed days was observed between five and six or more chronic conditions. An educational gradient in hospitalization rates and use of bed days was observed regardless of the number of chronic conditions. Educational attainment was strongly associated with healthcare utilization.ConclusionMultimorbidity was associated with a significant increase in utilization of all healthcare services in Denmark. In addition, a socioeconomic gradient was observed in utilization of hospitalizations and bed days.

To evaluate the general contextual effect (GCE) of the hospital department on one-year mortality in Swedish and Danish patients with heart failure (HF) by applying a multilevel analysis of individual heterogeneity.Using the Swedish patient register, we obtained data on 36,943 patients who were 45-80 years old and admitted for HF to the hospital between 2007 and 2009. From the Danish Heart Failure Database (DHFD), we obtained data on 12,001 patients with incident HF who were 18 years or older and treated at hospitals between June 2010 and June2013. For each year, we applied two-step single and multilevel logistic regression models. We evaluated the general effects of the department by quantifying the intra-class correlation coefficient (ICC) and the increment in the area under the receiver operating characteristic curve (AUC) obtained by adding the random effects of the department in a multilevel logistic regression analysis.One-year mortality for Danish incident HF patients was low in the three audit years (around 11.1% -13.1%) and departments performed homogeneously (ICC ≈1.5% - 3.5%). The discriminatory accuracy of a model including age and gender was rather high (AUC≈ 0.71-0.73) but the increment in AUC after adding the department random effects into these models was only about 0.011-0.022 units in the three years. One-year mortality in Swedish patients with first hospitalization for heart failure, was relatively higher for 2007-2009 (≈21.3% - 22%) and departments performed homogeneously (ICC ≈ 1.5% - 3%). The discriminatory accuracy of a model including age, gender and patient risk score was rather high (AUC≈ 0.726-0.728) but the increment in AUC after adding the department random effects was only about 0.010-0.017 units in the three years.Using the DHFD standard benchmark for one-year mortality, Danish departments had a good, homogeneous performance. In reference to literature, Swedish departments had a homogeneous performance and the mortality rates for patients with first hospitalization for heart failure were similar to those reported since 2000. Considering this, if health authorities decide to further reduce mortality rates, a comprehensive quality strategy should focus on all Swedish hospitals. Yet, a complementary assessment for the period after the study period is required to confirm whether department performance is still homogeneous or not to determine the most appropriate action.

Introduction: Despite many initiatives to improve coordination of patient pathways and intersectoral cooperation, Danish health care is still fragmented, lacking intra- and interorganisational integration. This study explores barriers to and facilitators of interorganisational integration as perceived by healthcare professionals caring for patients with chronic obstructive pulmonary disease within the Danish healthcare system. Methods: Seven focus groups were conducted in January through July 2014 with 21 informants from general practice, local healthcare centres and a pulmonary department at a university hospital in the Capital Region of Denmark. Results and discussion: Our results can be grouped into five influencing areas for interorganisational integration: communication/information transfer, committed leadership, patient engagement, the role and competencies of the general practitioner and organisational culture. Proposed solutions to barriers in each area hold the potential to improve care integration as experienced by individuals responsible for supporting and facilitating it. Barriers and facilitators to integrating care relate to clinical, professional, functional and normative integration. Especially, clinical, functional and normative integration seems fundamental to developing integrated care in practice from the perspective of healthcare professionals.

Background The prevalence of multiple comorbid chronic conditions, or multimorbidity, is increasing. Care provided to people with multimorbidity is often fragmented, incomplete, inefficient, and ineffective. As part of a research and development project focusing on improving care, we sought to involve patients with multimorbidity in the planning process. Objective To identify opportunities for improving care by understanding how patients from a Danish University Hospital experience care coordination. Design Qualitative semi-structured interviews with 14 patients with multimorbidity. Results Patients with multimorbidity described important concerns about care that included: (1) disease-centered, rather than patient-centered, care; (2) lack of attention to comorbidities and patient preferences and needs; and (3) involvement of numerous healthcare providers with limited care coordination. Poor continuity of care resulted in lack of treatment for complex problems, such as pain and mental health issues, medication errors, adverse events, and a feeling of being lost in the system. Receiving care from generalists (e.g. general practitioners and healthcare professionals at prevention centers) and having a care coordinator seemed to improve patients’ experience of continuity and coordination of care. Suggestions for service improvements when providing care for people with multimorbidity included using care coordinators, longer consultation times, consultations specifically addressing follow-up on prescribed medications, and shifting the focus of care from disease states to patients’ overall health status. Conclusions A need exists for a reorganization of care delivery for people with multimorbidity that focuses on improved care coordination and puts patient preferences at the center of care.

BACKGROUND:Hospital performance is frequently evaluated by analyzing differences between hospital averages in some quality indicators. The results are often expressed as quality charts of hospital variance (e.g., league tables, funnel plots). However, those analyses seldom consider patients heterogeneity around averages, which is of fundamental relevance for a correct evaluation. Therefore, we apply an innovative methodology based on measures of components of variance and discriminatory accuracy to analyze 30-day mortality after hospital discharge with a diagnosis of Heart Failure (HF) in Sweden. METHODS:We analyzed 36,943 patients aged 45-80 treated in 565 wards at 71 hospitals during 2007-2009. We applied single and multilevel logistic regression analyses to calculate the odds ratios and the area under the receiver-operating characteristic (AUC). We evaluated general hospital and ward effects by quantifying the intra-class correlation coefficient (ICC) and the increment in the AUC obtained by adding random effects in a multilevel regression analysis (MLRA). Finally, the Odds Ratios (ORs) for specific ward and hospital characteristics were interpreted jointly with the proportional change in variance (PCV) and the proportion of ORs in the opposite direction (POOR). FINDINGS:Overall, the average 30-day mortality was 9%. Using only patient information on age and previous hospitalizations for different diseases we obtained an AUC = 0.727. This value was almost unchanged when adding sex, country of birth as well as hospitals and wards levels. Average mortality was higher in small wards and municipal hospitals but the POOR values were 15% and 16% respectively. CONCLUSIONS:Swedish wards and hospitals in general performed homogeneously well, resulting in a low 30-day mortality rate after HF. In our study, knowledge on a patient's previous hospitalizations was the best predictor of 30-day mortality, and this information did not improve by knowing the sex and country of birth of the patient or where the patient was treated.

The main aim of the study was to identify predictors of the effects of lifestyle intervention on diabetes mellitus type 2 patients by means of multivariate analysis. Data from a previously published randomised clinical trial, which compared the effects of a rehabilitation programme including standardised education and physical training sessions in the municipality’s health care centre with the same duration of individual counseling in the diabetes outpatient clinic, were used. Data from 143 diabetes patients were analysed. The merged lifestyle intervention resulted in statistically significant improvements in patients’ systolic blood pressure, waist circumference, exercise capacity, glycaemic control, and some aspects of general health-related quality of life. The linear multivariate regression models explained 45% to 80% of the variance in these improvements. The baseline outcomes in accordance to the logic of the regression to the mean phenomenon were the only statistically significant and robust predictors in all regression models. These results are important from a clinical point of view as they highlight the more urgent need for and better outcomes following lifestyle intervention for those patients who have worse general and disease-specific health.

Introduction: Quality of care provided to people with chronic conditions does not often fulfil standards of care in Denmark and in other countries. Inadequate organisation of healthcare systems has been identified as one of the most important causes for observed performance inadequacies, and providing integrated healthcare has been identified as an important organisational challenge for healthcare systems. Three entities—Bispebjerg University Hospital, the City of Copenhagen, and the GPs in Copenhagen—collaborated on a quality improvement project focusing on integration and implementation of rehabilitation programmes in four conditions. Description of care practice: Four multidisciplinary rehabilitation intervention programmes, one for each chronic condition: chronic obstructive pulmonary disease, type 2 diabetes, chronic heart failure, and falls in elderly people were developed and implemented during the project period. The chronic care model was used as a framework for support of implementing and integration of the four rehabilitation programmes. Conclusion and discussion: The chronic care model provided support for implementing rehabilitation programmes for four chronic conditions in Bispebjerg University Hospital, the City of Copenhagen, and GPs' offices. New management practices were developed, known practices were improved to support integration, and known practices were used for implementation purposes. Several barriers to integrated care were identified.