Tailored Educational Approaches for Consumer Health: A Model to Address Health Promotion in an Era of Personalized Medicine

Cohn, Wendy F.; Lyman, Jason A.; Broshek, Donna K.; Guterbock, Thomas M.; Hartman, David E.; Kinzie, Mable B.; Mick, David Glen; Pannone, Aaron; Sturz, Vanessa N.; Schubart, Jane R.; Garson, Arthur

doi:10.1177/0890117116671082

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…Studies that include psychological factors (as a base for segmentation) are rare (e.g. [29][30][31][32][33][34][35]). It should be mentioned that all these studies are empirically driven.…”

Section: Segmentation In Health Carementioning

confidence: 99%

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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“…Studies that include psychological factors (as a base for segmentation) are rare (e.g. [29][30][31][32][33][34][35]). It should be mentioned that all these studies are empirically driven.…”

Section: Segmentation In Health Carementioning

confidence: 99%

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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“…A subset of items from the Tailored Educational Approaches for Consumer Health: Market Segmentation Survey [ 84 ] is completed at baseline to assess participants’ computer and Internet use, and their health literacy.…”

Section: Methodsmentioning

confidence: 99%

Hypertension with unsatisfactory sleep health (HUSH): study protocol for a randomized controlled trial

Levenson

Rollman

Ritterband

et al. 2017

Trials

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BackgroundInsomnia is common in primary care medical practices. Although behavioral treatments for insomnia are safe, efficacious, and recommended in practice guidelines, they are not widely-available, and their effects on comorbid medical conditions remain uncertain. We are conducting a pragmatic clinical trial to test the efficacy of two cognitive behavioral treatments for insomnia (Brief Behavioral Treatment for Insomnia (BBTI) and Sleep Healthy Using the Internet (SHUTi)) versus an enhanced usual care condition (EUC).Methods/DesignThe study is a three-arm, parallel group, randomized controlled trial. Participants include 625 adults with hypertension and insomnia, recruited via electronic health records from primary care practices affiliated with a large academic medical center. After screening and baseline assessments, participants are randomized to treatment. BBTI is delivered individually with a live therapist via web-interface/telehealth sessions, while SHUTi is a self-guided, automated, interactive, web-based form of cognitive behavioral therapy for insomnia. Participants in EUC receive an individualized sleep report, educational resources, and an online educational video. Treatment outcomes are measured at 9 weeks, 6 months, and 12 months. The primary outcome is patient-reported sleep disturbances. Secondary outcomes include other self-reported sleep measures, home blood pressure, body mass index, quality of life, health functioning, healthcare utilization, and side effects.DiscussionThis randomized clinical trial compares two efficacious insomnia interventions to EUC, and provides a cost-effective and efficient examination of their similarities and differences. The pragmatic orientation of this trial may impact sleep treatment delivery in real world clinical settings and advance the dissemination and implementation of behavioral sleep interventions.Trial registrationClinicalTrials.gov (Identifier: NCT02508129; Date Registered: July 21, 2015).Electronic supplementary materialThe online version of this article (doi:10.1186/s13063-017-2001-9) contains supplementary material, which is available to authorized users.

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Health literacy and health information sources in relation to foodborne and waterborne diseases among adults in Gedeo zone, southern Ethiopia, 2022: A community-based cross-sectional study

Seboka

Negashe

Yehualashet

et al. 2023

Heliyon

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Tailored Educational Approaches for Consumer Health: A Model to Address Health Promotion in an Era of Personalized Medicine

Cited by 6 publications

References 26 publications

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

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

Hypertension with unsatisfactory sleep health (HUSH): study protocol for a randomized controlled trial

Health literacy and health information sources in relation to foodborne and waterborne diseases among adults in Gedeo zone, southern Ethiopia, 2022: A community-based cross-sectional study

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