Subjective Experienced Health as a Driver of Health Care Behavior

Bloem, Sjaak; Stalpers, Joost

doi:10.2139/ssrn.2102513

Cited by 16 publications

(29 citation statements)

References 3 publications

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“…Perceived control can be regarded as the patients' belief that their health condition can be influenced or controlled by themselves or others. Based on the combination of these two determinants, Bloem and Staplers identified four types of patients [2]. It would be interesting to see how this model interacts with the present findings from the study by Sutton et al…”

supporting

confidence: 62%

Qualitative research in Colorectal Disease, Sutton et al.

Gosselink¹

2019

Colorectal Disease

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supporting

confidence: 62%

Qualitative research in Colorectal Disease, Sutton et al.

Gosselink¹

2019

Colorectal Disease

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“…This 25-item questionnaire assesses urinary, bowel and sexual symptoms and functioning, and the side-effects of hormonal treatment, though hormonal treatment is not offered as initial treatment in this study’s sample. Health outcomes are further assessed by means of an evaluation of side-effect impact [ 44 , 45 ] and health status acceptance and subjective control [ 46 ].…”

Section: Methodsmentioning

confidence: 99%

Impact of a web-based treatment decision aid for early-stage prostate cancer on shared decision-making and health outcomes: study protocol for a randomized controlled trial

Cuypers

Lamers

Kil

et al. 2015

Trials

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BackgroundAt an early stage, prostate cancer patients are often eligible for more than one treatment option, or may choose to defer curative treatment. Without a pre-existing superior option, a patient has to weigh his personal preferences against the risks and benefits of each alternative to select the most appropriate treatment. Given this context, in prostate cancer treatment decision-making, it is particularly suitable to follow the principles of shared decision-making (SDM), especially with the support of specific instruments like decision aids (DAs). Although several alternatives are available, present tools are not sufficiently compatible with routine clinical practice. To overcome existing barriers and to stimulate structural implementation of DAs and SDM in clinical practice, a web-based prostate cancer treatment DA was developed to fit clinical workflow. Following the structure of an existing DA, Dutch content was developed, and values clarification methods (VCMs) were added. The aim of this study is to investigate the effect of this DA on (shared) treatment choice and patient-reported outcomes.Methods/designNineteen Dutch hospitals are included in a pragmatic, cluster randomized controlled trial, with an intervention and a control arm. In the intervention group, the DA will be offered after diagnosis, and a summary of the patients’ preferences, which were identified with the DA, can be discussed by the patient and his clinician during later consultation. Patients in the control group will receive information and decisional support as usual. Results from both groups on decisional conflict, treatment choice and the experience with involvement in the decision-making process are compared. Patients are requested to fill in questionnaires after treatment decision-making but before treatment is started, and 6 and 12 months later. This will allow the development of treatment satisfaction, decisional regret, and quality of life to be monitored. Clinicians from both groups will evaluate their practice of information provision and decisional support.DiscussionThis study will describe a web-based prostate cancer treatment DA with VCMs. The effect of this DA on the decision-making process and subsequent patient reported outcomes will be evaluated.Trial registrationThe Netherlands National Trial Register: NTR4554, registration date 1 May 2014.

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“…A promising model for segmentation in health care is the Bloem-Stalpers model [36]. The foundations of the model consist of two extensive research projects.…”

Section: Segmentation In Health Carementioning

confidence: 99%

“…For the model to be of practical relevance, it needs further specification in terms of the following additions: (a) Further differentiation of the segments in terms the two determinants, and (b) Description and characterization of the segments in order to construct unique profiles for each segment. Consequently, the goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments of the Bloem-Stalpers model [36] with socio-economic and socio-demographic data.…”

Section: Segmentation In Health Carementioning

confidence: 99%

“…Advantages are that: (a) The segments can be described in more contextual detail; (b) Socio-economic and socio-demographic variables can be used to describe the context of the experience of subjective health of individuals, belonging to a certain segment; (c) These variables may serve as a source of inspiration for the development of additional support programs. [36] Please note that the study is focusing on the further characterization of the four segments. The study is not designed to investigate the effectiveness of supportive programs, and the study does not aim to establish the sensitivity and specificity of the classification (of four groups) to predict for example patient responses to 'personalized medicine' (targeted biomedical therapy).…”

Section: Segmentation In Health Carementioning

confidence: 99%

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Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Bloem

Stalpers

Groenland

et al. 2020

BMC Health Serv Res

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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.

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Subjective Experienced Health as a Driver of Health Care Behavior

Cited by 16 publications

References 3 publications

Qualitative research in Colorectal Disease, Sutton et al.

Qualitative research in Colorectal Disease, Sutton et al.

Impact of a web-based treatment decision aid for early-stage prostate cancer on shared decision-making and health outcomes: study protocol for a randomized controlled trial

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

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