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There has been growing interest in the use of real-world data (RWD) to address clinically and policy-relevant (research) questions that cannot be answered with data from randomized controlled trials (RCTs) alone. This is, for example, the case in rare malignancies such as sarcomas as limited patient numbers pose challenges in conducting RCTs within feasible timeliness, a manageable number of collaborators, and statistical power. This narrative review explores the potential of RWD to generate real-world evidence (RWE) in sarcoma research, elucidating its application across different phases of the patient journey, from prediagnosis to the follow-up/survivorship phase. For instance, examining electronic health records (EHRs) from general practitioners (GPs) enables the exploration of consultation frequency and presenting symptoms in primary care before a sarcoma diagnosis. In addition, alternative study designs that integrate RWD with well-designed observational RCTs may offer relevant information on the effectiveness of clinical treatments. As, especially in cases of ultrarare sarcomas, it can be an extreme challenge to perform well-powered randomized prospective studies. Therefore, it is crucial to support the adaptation of novel study designs. Regarding the follow-up/survivorship phase, examining EHR from primary and secondary care can provide valuable insights into identifying the short- and long-term effects of treatment over an extended follow-up period. The utilization of RWD also comes with several challenges, including issues related to data quality and privacy, as described in this study. Notwithstanding these challenges, this study underscores the potential of RWD to bridge, at least partially, gaps between evidence and practice and holds promise in contributing to the improvement of sarcoma care. Exploring RWD potential in sarcoma research: bridging evidence gaps, despite challenges, for improved care. [ABSTRACT FROM AUTHOR]

Objectives To evaluate whether the prevalence of health problems in cohabiting partners of people with dementia differs between the year before and the year after 3 transitions: the diagnosis of dementia, institutionalization, and the death of the person with dementia. Methods Individuals with dementia and their partners were identified on the basis of data in the electronic health records (EHRs) of 451 Dutch general practices. EHRs were also the data source on their health problems, which were linked to the Dutch population registry and health administration data with demographic characteristics, date of institutionalization, and date of death. Differences in the prevalence of 16 groups of health problems and of specific health problems in partners during the year before and the year after the 3 transitions were examined using a generalized estimating equation. Results About 1,110 partners of persons with dementia were identified. Problems related to the illness and/or loss of the person with dementia were significantly more prevalent in the year after the dementia diagnosis (32% vs. 17%) and in the year after the death of the person with dementia (59% vs. 41%) than in the years before. Unspecified health problems were more prevalent in the year after the diagnosis than in the year before (30% vs. 22%). After institutionalization, an increase was found in digestive problems and urological problems (30% vs. 18% and 24% vs. 17%). Discussion Transitions during the dementia care trajectory, namely, the diagnosis, institutionalization, and death of the person with dementia, significantly affect the cohabiting partner's health. [ABSTRACT FROM AUTHOR]

Background: Guideline adherence remains a challenge in clinical practice, despite guidelines' ascribed potential to improve patient outcomes. We studied the level of adherence to recommendations from Dutch national cancer treatment guidelines, and the influence of general and cancer-specific guideline characteristics on adherence. Methods: Based on data from a national cancer registry, adherence was evaluated for 15 treatment recommendations for breast, colorectal, prostate and lung cancer, and melanoma. Recommendations were selected by representatives of the medical specialist associations responsible for developing and implementing the guidelines. We used multivariable multilevel analysis to calculate mean adherence and variation between individual hospitals. Results: Mean adherence to the different treatment recommendations ranged from 40 to 99%. Adherence differed only slightly between older and newer guidelines and between recommendations with low, moderate or high levels of evidence (range 79--84% and 77--91%, respectively), while adherence differed more between recommendations for different cancer types (range 54--99%), different treatment modalities (adherence ranged from 40 to 92%) or recommendations that advised against or recommended in favour of particular treatment (adherence ranged from 75 to 98%). Conclusion: We found significant variation in adherence between different cancer treatment guidelines. While some guideline characteristics that seem to explain this variation may be considered difficult to modify, the potential for variance across cancer types and treatment modalities suggests that adherence could be further improved. At the same time, these results warrant tailored strategies for the improvement of adherence to clinical practice guidelines. [ABSTRACT FROM AUTHOR]

Many children receive attention-deficit hyperactivity disorder (ADHD) medication, but factors that determine medication prescription are largely unknown. This study aimed to determine the relative impact of factors on the child, family and general practitioner (GP) practice level on ADHD medication prescription. We included 1259 Dutch children aged 6-18 years with a diagnostic code of ADHD or related behavioural problems (ICPC codes P20-P22) in NIVEL primary care database. Using multilevel analyses, we examined predictors of ADHD medication prescription. Children diagnosed as 'hyperactive' were 16 times more likely to be prescribed ADHD medication than those with 'behavioural concerns'. Children with a parent or sibling receiving ADHD medication were three to four times more likely to be prescribed ADHD medication themselves. Children from GP practices with a high percentage of children with ADHD were twice as likely to be prescribed ADHD medication. Concluding, factors on the individual, family and GP practice level determine ADHD medication prescription. Future research into the decision-making process for ADHD medication is warranted.