No abstract

Background: There is an observable, growing trend toward tailoring support programsin addition to medical treatmentmore closely to individuals to help improve patients' health status. The segmentation model developed by Bloem & Stalpers [Nyenrode Research Papers Series 12:1-22, 2012] may serve as a solid basis for such an approach. The model is focused on individuals' 'health experience' and is therefore a 'cross-disease' model. The model is based on the main psychological determinants of subjective health: acceptance and perceived control. The model identifies four segments of health-care consumers, based on high or low values on these determinants. The goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments in terms of socio-demographic and socioeconomic variables. Methods: The data (acceptance, perceived control, socioeconomic , and socio-demographic variables) for this study were obtained by using an online survey (a questionnaire design), that was given (random sample N = 2500) to a large panel of Dutch citizens. The final sample consisted of 2465 participantsage distribution and education level distribution in the sample were similar to those in the Dutch population; there was an overrepresentation of females. To analyze the data factor analyses, reliability tests, descriptive statistics and t-tests were used. Results: Cutoff scores, criteria to differentiate between the segments, were defined as the medians of the distributions of control and acceptance. Based on the outcomes, unique profiles have been formed for the four segments: 1. 'Importance of self-management'relatively young, high social class, support programs: high-quality information. 2. 'Importance of personal control'relatively old, living in rural areas, high in homeownership; supportive programs: developing personal control skills. 3. 'Importance of acceptance'relatively young male; supportive programs: help by physicians and nurses. 4. 'Importance of perspective and direction'female, low social class, receiving informal care; support programs: counseling and personal care. Conclusions: The profiles describe four segments of individuals/patients that are clearly distinct from each other, each with its own description. The enriched descriptions provide a better basis for the allocation and developing of supportive programs and interventions across individuals.

LINKED CONTENT This article is linked to Lauriot dit Prevost et al and Pariente papers. To view these articles, visit https://doi.org/10.1111/apt.15681 and https://doi.org/10.1111/apt.15736.

Many attempted to develop burden of disease rankings for the purpose of resource allocation, priority setting, cost-effectiveness evaluation, and service development in healthcare. As this proved difficult the World Health Organization commissioned expert panels to develop internally consistent burden of disease rankings. Although these rankings provide valuable insight in the biomedical burden of different diseases, they do not yet provide insight in the psychological burden of different diseases experienced and reported by patients on a daily basis. Since expert reported and patient reported burden of disease could differ, deviations between expert reported and patient reported burden of disease rankings are likely. To explore how these rankings differ, it is important to develop patient reported burden of disease rankings and compare these to expert reported burden of disease rankings. In this study patient reported burden of disease rankings were developed by ranking the subjective health experience of patients. To measure subjective health experience an online questionnaire was administered to a large panel of Dutch citizens. The final sample consisted of 58,490 panel members. This final sample contained 36 diseases and was largely representative of the Dutch population. The data were analysed by using reliability tests, descriptive statistics and Spearman rank-order correlation coefficients. This study shows that expert reported and patient reported burden of disease rankings could differ. Burden of cardiovascular diseases ranks low on patient reported burden of disease rankings, while it ranks higher on expert reported burden of disease rankings. Burden of psychiatric diseases and gastrointestinal diseases ranks high on patient reported burden of disease rankings, while it ranks lower on expert reported burden of disease rankings. Burden of pain diseases ranks high on patient reported burden of disease rankings, while it is still overlooked in expert reported burden of disease rankings. This study suggests that it can be beneficial to develop and utilize patient reported burden of disease rankings in addition to the already existing expert reported burden of disease rankings in order to establish a more comprehensive perspective on burden of disease. This could improve decision-making on resource allocation, priority setting, cost-effectiveness evaluation, and service development in healthcare.