Evidence map›Paper›PMID 36962571›Full record

ArticlePLOS global public health2022

Time-to-recovery after cesarean section delivery among women who gave birth through cesarean section at Hawassa University Comprehensive Specialized Hospital, South Ethiopia: A prospective cohort study.

Anteneh Fikrie, Rahel Zeleke, Henok Bekele, Wongelawit Seyoum, Dejene Hailu, Zelalem Jabessa Wayessa, Girma Tufa, Takala Utura, Male Matie, Gebeyehu Dejene Oda

Expression of concern Registry-linked trialFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. It is linked to trial NCT05679323 (The Effect of Early Versus Traditional Hospital Discharge on Activities of Daily Livingfor Women Undergoing Elective Cesarean Section.An Observational Cohort Study.), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05679323 completednot on this map

The Effect of Early Versus Traditional Hospital Discharge on Activities of Daily Livingfor Women Undergoing Elective Cesarean Section.An Observational Cohort Study.

TypeobservationalSponsorAin Shams Maternity HospitalRan2022 to 2022Enrolled158ConditionsEarly Discharge of Patients After Cesarean SectionArmsKATZ index of independence in activities of daily living
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Anteneh FikrieSchool of Public Health, Institute of Health, Bule Hora University, Bule Hora, Southeastern Ethiopia.ORCID https://orcid.org/0000-0002-9809-3326
Rahel ZelekeDepartement of Public Health, Pharma College Hawassa Campus, Hawassa, Ethiopia.
Henok BekeleDepartement of Public Health, Pharma College Hawassa Campus, Hawassa, Ethiopia.
Wongelawit SeyoumDepartement of Public Health, Pharma College Hawassa Campus, Hawassa, Ethiopia.
Dejene HailuSchool of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Southern Ethiopia.
Zelalem Jabessa WayessaMidwifery Department, Institute of Health, Bule Hora University, Bule Hora, Southeastern Ethiopia.ORCID https://orcid.org/0000-0003-3416-6810
Girma TufaMidwifery Department, Institute of Health, Bule Hora University, Bule Hora, Southeastern Ethiopia.
Takala UturaSchool of Public Health, Institute of Health, Bule Hora University, Bule Hora, Southeastern Ethiopia.ORCID https://orcid.org/0000-0003-4481-9088
Male MatieSNNP Regional Health Bureau Director, Disease Prevention Health Promotion Directorate, Hawassa, South Ethiopia.
Gebeyehu Dejene OdaPolicy Planning, Monitoring and Evaluation, JSI Research and Training Institute SNNP Regional Coordinator, Hawassa, South Ethiopia.ORCID https://orcid.org/0000-0002-6057-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cesarean deliveries have become a major public health problem worldwide in recent decades. In addition, information on the quality of service, as measured by timely recovery is scarce. This study was assessed predictors of recovery time after cesarean section among women who delivered by cesarean section at Hawassa University Comprehensive Specialized Hospital (HU-CSH) Southern Ethiopia. Institution-based prospective cohort study design was conducted among 381 study participants from July to August 2020. A consecutive sampling technique employed to select study participants. A pre-tested structured questionnaire was used to collect the data. The data were entered and analyzed by Epi info version 7 and SPSS respectively. Bivariable and multivariable Cox regression used to identify the predictors of time-to-recovery after cesearean section. Adjusted Hazard Ratio (AHR) with the respective 95% confidence intervals (CIs)and p-value <0.5 was used to declare statistical significance. A total of 369 mothers who undergone cesearean section were followed for 1,042 person-days of observation. The timely recovery (within 4 days) was found to be 96.2% [95%CI: 94.04-98.4%] and the overall median (IQR) time of recovery was 2.00 (2, 3) days. The study revaled that the Incidence density rate (IDR) of timely recovery was found to be 0.34 per person-days or 2.38 per person-week. Whereas, the cumulative probability of not recovered on the 1st and 4th day was 0.995 and 0.038 respectively. This study found that women who had ANC follow-up (AHR = 1.49, 95%, CI: 1.05-2.10) and discharge from the wound site (AHR = 0.13, 95%, CI: 0.03-0.56) were identified as a significant positive and negative predictors of time-to-recovery after CS delivery respectively. The rate of early recovery obtained by this study was comparable to the global level figures. Still, the cleanness of the surgical site to prevent the incidence of postsurgical site CS delivery is very essential.

Identifiers

PMID36962571
PMCPMC10022236

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read52
identifiers read8
Read underepoch 390

Registered trials

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.