Evidence map›Paper›PMID 39143520›Full record

ArticleBMC pregnancy and childbirth2024

A longitudinal study of a mHealth app and regional policies on the uptake of postpartum depression referral after positive screening in Shenzhen.

Chaoyang Yan, Ruoyun Cao, Xinxin Hu, Yancen Hu, Huimin Liu

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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

5 authors.

Chaoyang Yan *School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215006, China.
Ruoyun Cao *School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215006, China.
Xinxin Hu *Women's Health Care Department, ShenZhen Pingshan Maternal and Child Health Hospital, Pingshan District, Shenzhen, 518122, China.
Yancen HuDepartment of Women's Health Section, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, 518000, China.
Huimin LiuDepartment of Women's Health Section, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, 518000, China. huiminll@alumni.hust.edu.cn.

Funding

Scientific Research Project of Health System in Pingshan District, Shenzhen, China Project No.: 202182
6 · The paper itself

Abstract

backgroundPostpartum depression (PPD) has received widespread attention. Shenzhen has been running a large-scale program for PPD since 2013. The program requires mothers to self-assess when applying information technology to PPD screening beginning in 2021. The purpose of this study was to conduct a longitudinal analysis of the impact of mHealth apps on the health-seeking behaviors of PPD patients.

methodsLongitudinal data from districts in the Shenzhen Maternal and Child Health Management Information System (MCHMIS) for ten years was used in this study. Referral success rate (RSR, successful referrals to designated hospitals as a percentage of needed referrals) was used to assess health-seeking behavior. Trend χ2 tests were used to assess the overall trend of change after the implementation of mHealth in ten districts in Shenzhen. Interrupted Time Series Analysis (ITSA) was employed to assess the role of the mHealth app in changing patient health-seeking behaviors.

resultsFor the results of the trend χ2 tests, the ten districts of Shenzhen showed an upward trend. For the ITSA results, different results were shown between districts. Nanshan district, Longhua district, and Longgang district all demonstrated an upward trend in the first-year application of the mHealth app. Nanshan district and Longgang district both exhibited an upward trend in terms of sustained effects.

conclusionsThere is a difference in the performance of the mHealth app across the ten districts. The results show that the three districts with better health resource allocation, Nanshan, Longgang, and Longhua districts, demonstrated more significant mHealth app improvements. The mHealth app's functions, management systems, and health resource allocation may be potential factors in the results. This suggests that when leveraging mHealth applications, the first step is to focus on macro-level area resource allocation measures. Secondly, there should be effective process design and strict regulatory measures. Finally, there should also be appropriate means of publicity.

Indexed as

Depression, PostpartumMobile ApplicationsReferral and ConsultationTelemedicineAdultChinaFemaleHealth PolicyHumansInterrupted Time Series AnalysisLongitudinal StudiesMass ScreeningPatient Acceptance of Health CarePregnancyInterrupted time seriesmHealthPostpartum depressionReferral success rates

Identifiers

PMID39143520
PMCPMC11325571

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Registered trials

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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.