How to measure Population Health

An exploration towards an integration of valid and reliable instruments

C. Baan, R.J.P. Hendrikx, M.D. Spreeuwenberg, H.W. Drewes, Dirk Ruwaard

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Population health management initiatives are introduced to transform health and community services by implementing interventions that combine various services and address the continuum of health and well-being of populations. Insight is required into a population’s health to evaluate implementation of these initiatives. This study aims to determine the performance of commonly used instruments for measuring a population’s experienced health and explores the assessed concepts of population health. Survey-based Short Form 12, version 2 (SF12, health status), Patient Activation Measure 13 (PAM13), and Kessler 10 (K10, psychological distress) data of 3120 respondents was used. Floor/ceiling effects were studied using descriptive statistics. Validity was assessed using factor and discriminant analyses, and reliability was assessed using Cronbach a. Finally, to study covered concepts, exploratory factor analyses (EFAs) were conducted, which included additional surveyed characteristics. The SF12 and PAM13 sum scores showed acceptable averages and distributions, while results of the K10 indicated a floor effect. SF12 and K10 measured their expected constructs, while PAM13 did not. The EFA of PAM13 displayed 1 instead of the expected 4 constructs. Reliability was good for all instruments (a 0.89–0.93). The overall EFA identified 4 concepts: mental, physical ability, lifestyle, and self-management. SF12 and PAM13, combined with lifestyle characteristics, are shown to provide insightful information to measure the physical, mental, lifestyle, and self management concepts of population health. Future research should include additional instruments that cover new aspects introduced by recent definitions of health.
Original languageEnglish
Pages (from-to)323-330
Number of pages8
JournalPopulation Health Management
Volume21
Issue number4
DOIs
Publication statusPublished - 2018

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Patient Participation
Statistical Factor Analysis
Discriminant Analysis
Health Services

Keywords

  • DISORDERS
  • IMPUTATION
  • PATIENT ACTIVATION MEASURE
  • PSYCHOLOGICAL DISTRESS
  • PSYCHOMETRIC PROPERTIES
  • RELIABILITY
  • SCALES
  • SCORES
  • SHORT-FORM
  • TRIPLE AIM
  • Triple Aim
  • evaluation
  • population health
  • population management

Cite this

Baan, C. ; Hendrikx, R.J.P. ; Spreeuwenberg, M.D. ; Drewes, H.W. ; Ruwaard, Dirk. / How to measure Population Health : An exploration towards an integration of valid and reliable instruments. In: Population Health Management. 2018 ; Vol. 21, No. 4. pp. 323-330.
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abstract = "Population health management initiatives are introduced to transform health and community services by implementing interventions that combine various services and address the continuum of health and well-being of populations. Insight is required into a population’s health to evaluate implementation of these initiatives. This study aims to determine the performance of commonly used instruments for measuring a population’s experienced health and explores the assessed concepts of population health. Survey-based Short Form 12, version 2 (SF12, health status), Patient Activation Measure 13 (PAM13), and Kessler 10 (K10, psychological distress) data of 3120 respondents was used. Floor/ceiling effects were studied using descriptive statistics. Validity was assessed using factor and discriminant analyses, and reliability was assessed using Cronbach a. Finally, to study covered concepts, exploratory factor analyses (EFAs) were conducted, which included additional surveyed characteristics. The SF12 and PAM13 sum scores showed acceptable averages and distributions, while results of the K10 indicated a floor effect. SF12 and K10 measured their expected constructs, while PAM13 did not. The EFA of PAM13 displayed 1 instead of the expected 4 constructs. Reliability was good for all instruments (a 0.89–0.93). The overall EFA identified 4 concepts: mental, physical ability, lifestyle, and self-management. SF12 and PAM13, combined with lifestyle characteristics, are shown to provide insightful information to measure the physical, mental, lifestyle, and self management concepts of population health. Future research should include additional instruments that cover new aspects introduced by recent definitions of health.",
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How to measure Population Health : An exploration towards an integration of valid and reliable instruments. / Baan, C.; Hendrikx, R.J.P.; Spreeuwenberg, M.D.; Drewes, H.W.; Ruwaard, Dirk.

In: Population Health Management, Vol. 21, No. 4, 2018, p. 323-330.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - How to measure Population Health

T2 - An exploration towards an integration of valid and reliable instruments

AU - Baan, C.

AU - Hendrikx, R.J.P.

AU - Spreeuwenberg, M.D.

AU - Drewes, H.W.

AU - Ruwaard, Dirk

N1 - This study was presented as a poster presentation at the International Conference on Integrated Care 2017, held May 8-10, 2017 in Dublin, Ireland.

PY - 2018

Y1 - 2018

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AB - Population health management initiatives are introduced to transform health and community services by implementing interventions that combine various services and address the continuum of health and well-being of populations. Insight is required into a population’s health to evaluate implementation of these initiatives. This study aims to determine the performance of commonly used instruments for measuring a population’s experienced health and explores the assessed concepts of population health. Survey-based Short Form 12, version 2 (SF12, health status), Patient Activation Measure 13 (PAM13), and Kessler 10 (K10, psychological distress) data of 3120 respondents was used. Floor/ceiling effects were studied using descriptive statistics. Validity was assessed using factor and discriminant analyses, and reliability was assessed using Cronbach a. Finally, to study covered concepts, exploratory factor analyses (EFAs) were conducted, which included additional surveyed characteristics. The SF12 and PAM13 sum scores showed acceptable averages and distributions, while results of the K10 indicated a floor effect. SF12 and K10 measured their expected constructs, while PAM13 did not. The EFA of PAM13 displayed 1 instead of the expected 4 constructs. Reliability was good for all instruments (a 0.89–0.93). The overall EFA identified 4 concepts: mental, physical ability, lifestyle, and self-management. SF12 and PAM13, combined with lifestyle characteristics, are shown to provide insightful information to measure the physical, mental, lifestyle, and self management concepts of population health. Future research should include additional instruments that cover new aspects introduced by recent definitions of health.

KW - DISORDERS

KW - IMPUTATION

KW - PATIENT ACTIVATION MEASURE

KW - PSYCHOLOGICAL DISTRESS

KW - PSYCHOMETRIC PROPERTIES

KW - RELIABILITY

KW - SCALES

KW - SCORES

KW - SHORT-FORM

KW - TRIPLE AIM

KW - Triple Aim

KW - evaluation

KW - population health

KW - population management

U2 - 10.1089/pop.2017.0097

DO - 10.1089/pop.2017.0097

M3 - Article

VL - 21

SP - 323

EP - 330

JO - Population Health Management

JF - Population Health Management

SN - 1942-7891

IS - 4

ER -