Evidence map›Paper›PMID 42415099›Full record

ArticleHealth and quality of life outcomes2026

Individual preferences for the design of a health coaching-based lifestyle promotion program among middle-aged adults in Hong Kong: a discrete choice experiment.

Kailu Wang, Cassie Cheuk Ling Lee, Gengcong Qu, Cyrus Tak Ka Tang, Hei Hang Edmund Yiu, Xue Yang, Carmen Ka Man Wong, Samuel Yeung-Shan Wong, Benjamin Hon Kei Yip

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kailu WangJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Cassie Cheuk Ling LeeJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Gengcong QuJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Cyrus Tak Ka TangJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Hei Hang Edmund YiuCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Xue YangJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Carmen Ka Man WongJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Samuel Yeung-Shan WongJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Benjamin Hon Kei YipJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China. benyip@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealth coaching is an effective approach to motivating lifestyle modifications and preventing the onset of non-communicable diseases. This study aims to examine middle-aged adults' preferences for health coaching programs to improve public acceptance of these programs.

methodsA discrete choice experiment (DCE) was conducted among adults aged 35-59 years in Hong Kong who were recruited from a population-based cohort established to evaluate outcomes related to long COVID. The DCE attributes and levels were selected based on a literature review and qualitative interviews (n = 10) with users and providers from a local health coaching program. The selected attributes included program duration, delivery mode of coaching sessions, frequency of coaching sessions, availability of blood tests, core program format, smartwatch usage, and out-of-pocket payment. An online survey with 10 choice sets was conducted to collect participants' choices regarding health coaching services with (copayment scenario, 10 choices) and without out-of-pocket payment (no copayment scenario, 10 choices). A mixed logit model and a latent class model were used for the analysis.

resultsA total of 912 responses were collected, of which 554 valid records were included in the analysis. In the copayment scenario, participants preferred programs that provided a smartwatch and a lower copayment rate. In the no copayment scenario, participants preferred a moderate coaching frequency, communication via phone calls or text messages, and provision of a smartwatch. Distinct preference groups were identified, including those who preferred face-to-face versus remote modes of delivery, high versus low contact frequency, and those who were sensitive versus insensitive to cost.

conclusionsLower copayment and smartwatch provision improve acceptance of health coaching programs. Substantial preference heterogeneity for program duration, health coaching frequency, and delivery mode was found. While material incentives are important for improving acceptance of health coaching, considerable preference heterogeneity for non-monetary attributes suggests that options for health coaching program intensity can be offered along with subsidies or lower out-of-pocket payment to promote these services.

Indexed as

Choice BehaviorCOVID-19Health PromotionLife StyleMentoringAdultFemaleHong KongHumansMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesDiscrete choice experimentHealth coachingLifestyle modificationPublic preferences

Identifiers

PMID42415099
PMCPMC13644059

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.