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Background and Objectives: Providing health care for older adults with multimorbidity is often complex, challenging, and prone to fragmentation. Although clinical decision making should take into account treatment interactions, individual burden, and resources, current approaches to assessing quality of care mostly rely on indicators for single conditions. The aim of this project was to develop a set of generic quality indicators for the management of patients aged 65 and older with multimorbidity that can be used in both health care research and clinical practice., Research Design and Methods: Based on the findings of a systematic literature review and eight focus groups with patients with multimorbidity and their family members, we developed candidate indicators. Identified aspects of quality were mapped to core domains of health care to obtain a guiding framework for quality-of-care assessment. Using nominal group technique, indicators were rated by a multidisciplinary expert panel (n = 23) following standardized criteria., Results: We derived 47 candidate quality indicators from the literature and 4 additional indicators from the results of the focus groups. The expert panel selected a set of 25 indicators, which can be assigned to the levels of patient factors, patient-provider communication, and context and organizational structures of the conceptual framework., Discussion and Implications: We developed a comprehensive indicator set for the management of multimorbidity that can help to highlight areas with potential for improving the quality of care and support application of multimorbidity guidelines. Furthermore, this study may serve as a blueprint for participatory designs in the development of quality indicators., (© The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Objectives: This study aimed to explore the association between patient activation and patients' experience of care among an elderly multimorbid population in Germany., Design: Cross-sectional study., Setting: Primary care practices in two German settings., Participants: 346 patients with 3 or more chronic conditions aged 65 years and over from 36 primary care practices., Outcome Measures: Patient activation was measured with the patient activation measure (PAM). To assess patient experiences with primary care, a set of questions concerning domains of primary care were included. Multilevel regression analyses were performed to examine which domains of care were associated with patient activation., Results: Out of 1243 invited patients, a total of 346 took part in the study (participation rate 27.8 %). Mean PAM score was 76.1. Across all patients, 3.8% achieved PAM level 1, 7.5% level 2, 27.2% level 3% and 60.7% level 4. PAM scores suggest a highly activated patient group. In the regression analysis, three out ten domains of patients' experiences showed an association with patient activation. The domains 'being involved in decision as much as desired' (B=-8.56, p=0.012) and 'receiving a self-management plan' (B=6.51, p=0.051) were associated with higher patient activation scores. Patients with an up-to-date medication plan had lower patient activation scores (B=-12.01, p=0.041)., Conclusion: Specific domains of primary care were found to be associated with patient activation. To enhance patient activation, primary care physicians may increase involvement of patients in decisions. Future research should examine the causality of these associations., Trial Registration Number: DRKS00015718., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Patients with multiple long-term conditions often face a variety of challenges arising from the requirements of their health care. Knowledge of perceived treatment burden is crucial for optimizing treatment. In this study, we aimed to create a German version of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and to evaluate its validity., Methods: The steps to translate the MTBQ included forward/back translation, cognitive interviews (n = 6) and a pilot test (n = 7). Psychometric properties of the scale were assessed in a cross-sectional survey with primary care patients aged 65 and older with at least 3 long-term conditions (n = 344). We examined the distribution of responses, dimensionality, internal reliability and construct validity., Results: Cognitive interviewing and piloting led to minor modifications and showed overall good face validity and acceptability. As expected, we observed a positively skewed response distribution for all items. Reliability was acceptable with McDonald's omega = 0.71. Factor analysis suggested one common factor while model fit indices were inconclusive. Predefined hypotheses regarding the construct validity were supported by negative associations between treatment burden and health-related quality of life, self-rated health, social support, patient activation and medication adherence, and positive associations between treatment burden and number of comorbidities. Treatment burden was found to be higher in female participants (Mdn 1  = 6.82, Mdn 2  = 4.55; U = 11,729, p = 0.001) and participants with mental health diagnoses (Mdn 1  = 9.10, Mdn 2  = 4.55; U = 3172, p = 0.024)., Conclusions: The German MTBQ exhibited good psychometric properties and can be used to assess the perceived treatment burden of patients with multimorbidity., (© 2022. The Author(s).)

Background: Patients with multimorbidity (here defined as three or more chronic conditions) require constant treatment and care. Furthermore, they have to manage their health and diseases in daily life. Offering support to patients' medical self-management is an important task of primary care. The aim of this study was to explore, what further support is needed from the perspective of patients' and primary care practitioners., Methods: A qualitative study using individual semi-structed interviews with 17 patients with multimorbidity and 7 practitioners (4 primary care physicians and 3 practice assistants) was conducted in Germany. Data were audio-recorded, pseudonymised and transcribed verbatim. Data analysis was performed using qualitative content analysis to structure data into themes and subthemes. All data were managed and organised in MAXQDA., Results: The three broad themes: current status, challenges and further support emerged. Patients reported on unfulfilled needs regarding role or emotional management, like coping with loneliness, loss of independence and, changing habits. The importance of social contact was highlighted by patients and practitioners. Patients articulated further support from their primary care practitioners on coping with the disease. Practitioners' wished for further support in aspects of social participation, public transport, and community resources., Conclusion: Challenges regarding self-management of elderly patients with multimorbidity may be addressed by harnessing social support and community initiatives., (© 2021. The Author(s).)

Background: Prevalence of people with multimorbidity rises. Multimorbidity constitutes a challenge to the healthcare system, and treatment of patients with multimorbidity is prone to high-quality variations. Currently, no set of quality indicators (QIs) exists to assess quality of care, let alone incorporating the patient perspective. We therefore aim to identify aspects of quality of care relevant to the patients' perspective and match them to a literature-based set of QIs., Methods: We conducted eight focus groups with patients with multimorbidity and three focus groups with patients' relatives using a semistructured guide. Data were analysed using Kuckartz's qualitative content analysis. We derived deductive categories from the literature, added inductive categories (new quality aspects) and translated them into QI., Results: We created four new QIs based on the quality aspects relevant to patients/relatives. Two QIs (patient education/self-management, regular updates of medication plans) were consented by an expert panel, while two others were not (periodical check-ups, general practitioner-coordinated care). Half of the literature-based QIs, for example, assessment of biopsychosocial support needs, were supported by participants' accounts, while more technical domains regarding assessment and treatment regimens were not addressed in the focus groups., Conclusion: We show that focus groups with patients and relatives adding relevant aspects in QI development should be incorporated by default in QI development processes and constitute a reasonable addition to traditional QI development. Our QI set constitutes a framework for assessing the quality of care in the German healthcare system. It will facilitate implementation of treatment standards and increase the use of existing guidelines, hereby helping to reduce overuse, underuse and misuse of healthcare resources in the treatment of patients with multimorbidity., Trial Registration Number: German clinical trials registry (DRKS00015718), Pre-Results., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Abstract Background Older adults with multimorbidity represent a growing segment of the population. Metrics to assess quality, safety and effectiveness of care can support policy makers and healthcare providers in addressing patient needs. However, there is a lack of valid measures of quality of care for this population. In the MULTIqual project, 24 general practitioner (GP)-reported and 14 patient-reported quality indicators for the healthcare of older adults with multimorbidity were developed in Germany in a systematic approach. This study aimed to select, validate and pilot core sets of these indicators. Methods In a cross-sectional observational study, we collected data in general practices (n = 35) and patients aged 65 years and older with three or more chronic conditions (n = 346). One-dimensional core sets for both perspectives were selected by stepwise backward selection based on corrected item-total correlations. We established structural validity, discriminative capacity, feasibility and patient-professional agreement for the selected indicators. Multilevel multivariable linear regression models adjusted for random effects at practice level were calculated to examine construct validity. Results Twelve GP-reported and seven patient-reported indicators were selected, with item-total correlations ranging from 0.332 to 0.576. Fulfilment rates ranged from 24.6 to 89.0%. Between 0 and 12.7% of the values were missing. Seventeen indicators had agreement rates between patients and professionals of 24.1% to 75.9% and one had 90.7% positive and 5.1% negative agreement. Patients who were born abroad (− 1.04, 95% CI = − 2.00/ − 0.08, p = 0.033) and had higher health-related quality of life (− 1.37, 95% CI = − 2.39/ − 0.36, p = 0.008), fewer contacts with their GP (0.14, 95% CI = 0.04/0.23, p = 0.007) and lower willingness to use their GPs as coordinators of their care (0.13, 95% CI = 0.06/0.20, p

Abstract Background Patients with multimorbidity (here defined as three or more chronic conditions) require constant treatment and care. Furthermore, they have to manage their health and diseases in daily life. Offering support to patients’ medical self-management is an important task of primary care. The aim of this study was to explore, what further support is needed from the perspective of patients’ and primary care practitioners. Methods A qualitative study using individual semi-structed interviews with 17 patients with multimorbidity and 7 practitioners (4 primary care physicians and 3 practice assistants) was conducted in Germany. Data were audio-recorded, pseudonymised and transcribed verbatim. Data analysis was performed using qualitative content analysis to structure data into themes and subthemes. All data were managed and organised in MAXQDA. Results The three broad themes: current status, challenges and further support emerged. Patients reported on unfulfilled needs regarding role or emotional management, like coping with loneliness, loss of independence and, changing habits. The importance of social contact was highlighted by patients and practitioners. Patients articulated further support from their primary care practitioners on coping with the disease. Practitioners’ wished for further support in aspects of social participation, public transport, and community resources. Conclusion Challenges regarding self-management of elderly patients with multimorbidity may be addressed by harnessing social support and community initiatives.

Background: Mobile health (mHealth) interventions for self-management are a promising way to meet the needs of patients with chronic diseases in primary care practices. Therefore, an mHealth intervention, TelePraCMan, was developed and evaluated for patients with type 2 diabetes mellitus, chronic obstructive pulmonary disease, high blood pressure, or heart failure in a German primary care setting. TelePraCMan entails a symptom diary, an appointment manager, a manager to document goals, and a warning system. The app should foster the self-management of participating patients. Objective: We aimed to examine the effects of TelePraCMan on patient activation and quality of life and explored the underlying contextual factors, impacts, and degree of implementation. Methods: In a prospective observational study design, we collected data by using interviews and written questionnaires from participating patients (intervention and control groups) and primary care workers (physicians and practice assistants). The primary outcomes of interest were patient-reported quality of life (12-Item Short Form Survey) and patient activation (patient activation measure). The quantitative analysis focused on differences between patients in the intervention and control groups, as well as before (T0) and after (T1) the intervention. Interviews were analyzed by using qualitative content analysis via MAXQDA (VERBI GmbH). Results: At baseline, 25 patients and 24 primary care workers completed the questionnaire, and 18 patients and 21 primary care workers completed the follow-up survey. The patients were predominantly male and, on average, aged 64 (SD 11) years (T0). The primary care workers were mostly female (62%) and, on average, aged 47 (SD 10) years (T0). No differences were observed in the outcomes before and after the intervention or between the intervention and control groups. In the additional interviews, 4 patients and 11 primary care workers were included. The interviewees perceived that the intervention was useful for some patients. However, contextual factors and problems with implementation activities negatively affected the use of the app with patients. The main reasons for the low participation were the COVID-19 pandemic and the target group, which seemed to have less interest in mHealth; the interviewees attributed this to the older age of patients. However, the respondents felt that the app would be better accepted in 5 or 10 years. Conclusions: Although the TelePraCMan app was rated as very good and important by the participants, few patients used it. The digital intervention was hardly implemented and had limited impact in the current setting of German primary care. [ABSTRACT FROM AUTHOR]