Evidence map›Paper›PMID 38195154›Full record

ArticleBMJ global health2024

A hybrid effectiveness-implementation trial of application-based tiered care (Mom's Good Mood) in treating perinatal anxiety within a primary health care system in China.

Beibei Zhu, Yanyan Hou, Xiayan Yu, Minmin Jiang, Mengjuan Lu, Mengqing Shang, Hualong Zhen, Yue Gu, Haiyan Li, Fangbiao Tao

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

10 authors at 1 institution in 1 country.

Beibei ZhuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Yanyan HouDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Xiayan YuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Minmin JiangKey Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China.
Mengjuan LuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Mengqing ShangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Hualong ZhenKey Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China.
Yue GuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Haiyan LiDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China.
Fangbiao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China taofangbiao@126.com.ORCID 0000-0003-4807-9670
Ministry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPerinatal anxiety (PNA) is a major public health concern.

methodsA hybrid effectiveness-implementation trial was conducted in two antenatal clinics in Hefei, China, to assess the effectiveness and cost-effectiveness of application-based tiered care (Mom's Good Mood, MGM) in treating PNA and to understand how well it fits into routine practices. Pregnant women who scored at least 5 points on the 7-Item Generalised Anxiety Disorder Scale (GAD-7) scale were successively assigned to the control group or the intervention group, which were given the usual care and MGM on usual care, respectively. At 6 months post partum, anxiety, depression and life satisfaction were assessed. Intention-to-treat analysis and the Reach, Effectiveness, Adoption, Implementation and Maintenance framework were adopted.

resultsA total of 214 women were assigned to the control group and 341 to the intervention group. The mean changes in GAD-7 scores (Least-squares means, LSM, -1.42, 95% CI -2.18 to -0.66) and the risk of anxiety (adjusted odds ratio, aOR 0.30, 95% CI 0.18 to 0.51) were decreased, and the anxiety remission rate (aOR 2.72, 95% CI 1.69 to 4.40) were improved in the intervention group. Similar findings were observed regarding the change in Edinburgh Postnatal Depression Scale scores (LS -1.92, 95% CI -2.85 to -0.99), depression remission rate (aOR 2.24, 95% CI 1.39 to 3.63) and the risk of depression (aOR 0.57, 95% CI 0.33 to 0.98). MGM only costs ¥1.88 (US$0.27) per pregnant woman to boost the postpartum anxiety remission rate by 1% and was revealed to have a high reach rate of 78.3%, an adoption rate of 51.3%-80.8%.

conclusionMGM is a cost-effective and accessible tool in coping with PNA. TRIAL REGISTRATION NUMBER: ChiCTR2100053419.

Indexed as

AnxietyCoping SkillsChinaFemaleHumansPregnancyIntervention studyMental Health & PsychiatryPublic HealthTreatment

Identifiers

PMID38195154
PMCPMC10806923
OpenAlexW4390698323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.