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Record W4380996212 · doi:10.2196/45769

WeChat-Based Intervention for Chinese Immigrants With Hypertension: Development and Evaluation Study

2023· article· en· W4380996212 on OpenAlexvenueno aff
Wen Li, Prisca Toh

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBlood pressureImmigrationIntervention (counseling)Physical therapyDiastoleInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Despite Chinese immigrants having a higher or comparable proportion of hypertension (HTN) compared to non-Hispanic White and Hispanic individuals, there are no effective technology-based intervention studies that target HTN management in Chinese immigrants in the United States. OBJECTIVE: The aim of this study was to develop and pilot-test the efficacy of a culturally and linguistically sensitive social media-based intervention (WeChat) for Chinese immigrants to improve blood pressure (BP) control, antihypertensive medication adherence, and self-efficacy. METHODS: The study was conducted in 2020 with a pre- and posttest design (N=20). A WeChat-based intervention was implemented using one 20-minute video presentation plus one 20-minute nurse counseling session via WeChat at the baseline, followed by 4 biweekly 20-minute nurse counseling sessions via WeChat calls. The primary outcome (BP control) and secondary outcomes, including medication adherence and self-efficacy in HTN management, were measured at baseline and at 6 months. RESULTS: The participants' mean age was 68.9 (SD 10.2; range: 51-86) years. The majority of the participants were female (n=13, 65%), had a high school degree or less (n=15, 75%), were married (n=16, 80%), not religious (n=13, 65%), and not employed (n=12, 60%). The results showed that the mean baseline systolic BP was 131.43 (SD 9.61) mmHg, and the mean diastolic BP was 79.79 (SD 9.62) mmHg. The 6-month outcome showed a reduction of systolic BP (-0.74, SD 9.18 mmHg; P=.05) and diastolic BP (-0.96, SD 6.92 mmHg; P=.001). The mean score for medication adherence at baseline was 4.50 (SD 1.70), and it significantly improved to 3.65 (SD 1.18) at 6 months (reversely scored; possible range was 1-5, with 1 being the best score; P=.001). Self-efficacy in HTN management had a trend in reduction from a baseline score of 8.28 (SD 1.25) decreasing to 7.93 (SD 1.48) at 6 months, with a mean difference of 0.34 (SD 2.02), with a score of 0 indicating the lowest self-efficacy and a score of 10 indicating the highest self-efficacy. CONCLUSIONS: Our WeChat-based HTN management program showed a significant improvement in diastolic BP and medication adherence as well as a trend of reduction for systolic BP and self-efficacy in managing HTN in Chinese immigrants. Compared to the traditional health care system, the proposed WeChat-based HTN management program has a low cost and is easy to implement. Thus, further investigation is recommended to generate further results. This intervention should be tested across different regions and clinical settings to verify the findings. The long-term goal is to implement the intervention in clinical settings to help Chinese immigrants at large achieve better HTN management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.323
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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