Measuring positive health: Concurrent and factorial validity based on a representative Dutch sample

Doornenbal, Brian M.; Vos, Rimke C.; Vliet, Mariska van; Jong, Jessica C. Kiefte‐de; Marle, M.E. van den Akker-van

doi:10.1111/hsc.13649

Cited by 15 publications

(24 citation statements)

References 21 publications

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“…Hence, the CPHQ seems advances the PH, responding to the call from our participants of the focus groups and expert consultation. The integration of the Capability Approach responds to the call for a theoretical framework for PH (Doornenbal et al, 2022; Prinsen & Terwee, 2019). Support for the factorial validity of the 11-dimensional CPHQ was found through Confirmatory Factor Analysis (CFA).…”

Section: Discussionmentioning

confidence: 99%

“…For example, items of the "spiritual/existential domain" and "mental well-being" were not included in the CPHQ. This is most likely explained by the strong relationship between other factors such as enjoyment/contentment and the spiritual/existential domain (Doornenbal et al, 2022) and anxiety/depression (EQ-5D) and the CPHQ domains of relaxation, exclusion, social support, political representation, and health literacy. Thus, some items of the initial PH model appear to be replaced by related items.…”

Section: Methodological Considerationsmentioning

confidence: 99%

“…To help to measure health in line with the concept of PH, it is crucial to further develop and validate a suitable measurement. health and happiness, it explained less than 25% of the variance in validation scales of measurements of autonomy, personal growth, stability, and self-care (Doornenbal et al, 2022).…”

Section: Questionnaire (Cphq) To Measure Health Introductionmentioning

confidence: 91%

“…The dialogue tool is not suitable as a measurement tool given the major concerns regarding its relevance, comprehensiveness, and comprehensibility (Prinsen & Terwee, 2019). Still, more governmental institutions and healthcare organizations are accepting the definition of PH (Doornenbal et al, 2022). To help to measure health in line with the concept of PH, it is crucial to further develop and validate a suitable measurement.…”

Section: Questionnaire (Cphq) To Measure Health Introductionmentioning

confidence: 99%

“…In this paper, we further develop and test a context-sensitive measurement of PH, which we denote in this paper as Context-specific Positive Health (CPH). We partly take an empirical approach to test the validity of the measurement, similar to previous efforts (Doornenbal et al, 2022; Van Vliet et al, 2021). Beyond this empirical approach, we take a theoretical approach to address concerns about construct clarity (Prinsen & Terwee, 2019; Van Vliet et al, 2021) and account for contextual dependence of health.…”

Section: Introductionmentioning

confidence: 99%

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Development and validation of a Context-sensitive Positive Health Questionnaire (CPHQ) to measure health

Doornenbal

Zutphen

Vos

et al. 2022

Preprint

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A valid context-specific measurement of health is critical for evaluating health policies and interventions. The Positive Health dialogue is a tool that is increasingly being used to evaluate health. However, this tool is meant to spark conversations about health rather than measure context-specific health. In this paper, we advance the Positive Health dialogue tool into a measurement instrument, that we denote as the Context-sensitive Positive Health Questionnaire (CPHQ). We build on previous efforts to create the CPHQ, using the Capability Approach as a theoretical framework. The measurement was developed in three stages: 1) focus groups, 2) expert consultations, and 3) validation among a representative panel of Dutch citizens. The goal of both the (1) focus groups and (2) expert consultations phases was to pilot test and refine previously proposed Positive Health questionnaires into an initial version of the CPHQ. The validation phase (3) sought to examine the initial CPHQs factorial validity, using Factor Analysis, and its concurrent validity, using Multivariate Regression Analysis. The developed questionnaire demonstrated adequate factorial and concurrent validity. Furthermore, it explicitly accounts for resilience, which is a key component of Positive Health. We introduced four benefits by aligning the CPHQ instrument with the Capability Approach. First, it embedded the measurement in a theoretical framework, which is required for theory development and testing. Second, it focused the questionnaire on a key concept of Positive Health - that is, on the "ability to adapt." Third, it addressed issues of health equity by taking contextual factors into account. Fourth, it aided in developing more understandable measurement items. The introduced measurement (i.e., the CPHQ) includes 11 dimensions, which we labeled as follows: relaxation, autonomy, fitness, perceived environmental safety, exclusion, social support, financial resources, political representation, health literacy, resilience, and enjoyment.

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Section: Discussionmentioning

confidence: 99%

Section: Methodological Considerationsmentioning

confidence: 99%

Section: Questionnaire (Cphq) To Measure Health Introductionmentioning

confidence: 91%

Section: Questionnaire (Cphq) To Measure Health Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and validation of a Context-sensitive Positive Health Questionnaire (CPHQ) to measure health

Doornenbal

Zutphen

Vos

et al. 2022

Preprint

Self Cite

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Conceptual Engineering Health: A Historical-Philosophical Analysis of the Concept of Positive Health

van der Linden,

Schermer

2024

Philosophy and Medicine

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Instead of defining health and disease in a traditional analytic fashion, the medical-philosophical debate is now refocusing on explicating, specifying and contextualizing concepts, which implies adapting, improving or replacing them. This new view on pragmatically formulating definitions for health and disease concepts lines up with what has recently come to be known as conceptual engineering. In this paper we analyze and evaluate the concept of Positive Health by applying the methodology of conceptual engineering. Positive Health is a concept that was developed by healthcare researchers and professionals in response to problems experienced in medical practice, and that has gained significant popularity within the Dutch healthcare system and beyond. By means of a combined historical-philosophical approach, we first explore the reasons for re-engineering the concept of health, the kind of actors involved and the outcomes and effects of this re-engineering. We then evaluate the adequacy of this reconceptualization, using Carnapian explication and ameliorative analysis. We argue that conceptual engineering supports the pragmatist approach towards health and disease concepts and complements it by providing tools for critical analysis and evaluation. In turn, conceptual engineering can learn from case studies from the medical domain, such as Positive Health.

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Measuring Positive Health using the My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) Dialogue Tools: A Panel Study on Measurement Properties in a Representative General Dutch Population

van Druten,

Metz,

Mathijssen

et al. 2024

Applied Research Quality Life

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We aimed to investigate whether the dialogue tools My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) tools were useful for quantitively measuring the positive health construct for monitoring and scientific purposes as well. An observational cross-sectional study was conducted in a representative general Dutch population (the LISS panel) to investigate factor structures and internal consistency from the 42-items MPH and 12-items I.ROC. After randomly splitting the dataset, principal component analysis (PCA) and confirmatory factor analysis (CFA) were applied. Pearson and Spearman correlation coefficient between both tools’ total scores were calculated. 2,457 participants completed the questionnaires. A six-factor structure was extracted for MPH (PH42) and a two-factor structure for I.ROC (I.ROC12). Explained variances were 68.1% and 56.1%, respectively. CFA resulted in good fit indices. Cronbach’s alphas were between 0.74 to 0.97 (PH42) and 0.73 to 0.87 (I.ROC12). Pearson correlation between the total scores was 0.8 and Spearman correlation was 0.77. Both PH42 and I.ROC12 are useful to quantitatively measure positive health aspects which can be summarised in sum scores. The dimensions found in this study and the corresponding item division differed from the dimensions of the original dialogue tools. Further research is recommended focussing on item reduction for PH42, factor structure of I.ROC, assessment of construct validity (in a general population) and response scales in more depth.

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Measuring positive health: Concurrent and factorial validity based on a representative Dutch sample

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution-NonCo mmercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Cited by 15 publications

References 21 publications

Development and validation of a Context-sensitive Positive Health Questionnaire (CPHQ) to measure health

Development and validation of a Context-sensitive Positive Health Questionnaire (CPHQ) to measure health

Conceptual Engineering Health: A Historical-Philosophical Analysis of the Concept of Positive Health

Measuring Positive Health using the My Positive Health (MPH) and Individual Recovery Outcomes Counter (I.ROC) Dialogue Tools: A Panel Study on Measurement Properties in a Representative General Dutch Population

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