Evidence map›Paper›PMID 36798765›Full record

ArticleHeliyon2023

Factors associated with utilization of physical therapy services during pregnancy and after childbirth.

Kuan-Yin Lin, Yi-Ju Tsai, Jeng-Feng Yang, Meng-Hsing Wu

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Kuan-Yin LinDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yi-Ju TsaiDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Jeng-Feng YangDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Meng-Hsing WuDepartment of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore demographic and clinical factors associated with utilization of antepartum/postpartum physical therapy. Methods: This is a secondary analysis of a cross-sectional survey of 298 women who were receiving or had received obstetric care at a medical center in southern Taiwan. Data were collected between May 2021 and May 2022 using an online questionnaire, which included demographic, medical, and obstetric details, the symptom severity questionnaires, management strategies, and experience and perception about physical therapy. Descriptive statistics, independent Results: Among 298 respondents, 190 (63.8%) were pregnant and 108 (36.2%) were postpartum. Thirteen percent of pregnant participants and 27% of postpartum participants had received physical therapy during and/or after childbirth. Multivariate analyses showed that being postpartum, having an associate degree and below, and experiencing depressive symptoms were significantly associated with an increased utilization of physical therapy (postpartum: OR = 3.039, 95% CI = 1.530, 6.035; associate degree and below: OR = 2.521, 95% CI = 1.007, 6.316; depressive symptoms: OR = 3.606, 95% CI = 1.067, 12.185). The odds of utilizing physical therapy decreased with age (OR = 0.935, 95% CI = 0.874, 1.000). Conclusions: Individual factors, such as age, education level, pregnancy status, and experience of depressive symptoms, have a significant association with utilization of antepartum/postpartum physical therapy and should be considered when developing obstetric care pathways to optimize clinical and healthcare utilization outcomes.

Indexed as

Physical therapyPostpartumPregnancy

Identifiers

PMID36798765
PMCPMC9925962

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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.