Evidence map›Paper›PMID 35675108›Full record

Trial reportJMIR mHealth and uHealth2022

The Effect and Feasibility of mHealth-Supported Surgical Site Infection Diagnosis by Community Health Workers After Cesarean Section in Rural Rwanda: Randomized Controlled Trial.

Fredrick Kateera, Robert Riviello, Andrea Goodman, Theoneste Nkurunziza, Teena Cherian, Laban Bikorimana, Jonathan Nkurunziza, Evrard Nahimana, Caste Habiyakare, Georges Ntakiyiruta and 7 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03311399 (Using mHealth Technology to Identify and Refer Surgical Site Infections in Rwanda), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT03311399 nacompletednot on this map

Using mHealth Technology to Identify and Refer Surgical Site Infections in Rwanda

TypeinterventionalSponsorBrigham and Women's HospitalRan2017 to 2018Enrolled653ConditionsSurgical Site InfectionArmsSSI Screening Tool used in home visits by CHWs, SSI Screening Tool used via phone call follow-up
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. 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

17 authors at 4 institutions in 3 countries.

Fredrick Kateera *Partners in Health, Kigali, Rwanda.ORCID 0000-0002-6363-5180
Robert Riviello *Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0003-3783-153X
Andrea GoodmanDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-0948-8300
Theoneste NkurunzizaPartners in Health, Kigali, Rwanda.ORCID 0000-0002-5475-3396
Teena CherianDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-7766-6076
Laban BikorimanaPartners in Health, Kigali, Rwanda.ORCID 0000-0001-6547-8310
Jonathan NkurunzizaPartners in Health, Kigali, Rwanda.ORCID 0000-0001-9952-9921
Evrard NahimanaPartners in Health, Kigali, Rwanda.ORCID 0000-0002-8437-3044
Caste HabiyakareKirehe District Hospital, Ministry of Health, Kirehe, Rwanda.ORCID 0000-0002-9347-6950
Georges NtakiyirutaEjo Heza Surgical Center, Kigali, Rwanda.ORCID 0000-0002-4549-9015
Alexi MatousekCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-9352-3393
Erick GajuRwanda Ministry of Health, Kigali, Rwanda.ORCID 0000-0001-8609-1588
Magdalena GruendlCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-9402-5756
Brittany PowellCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-6297-0692
Kristin SondermanCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-2623-1793
Rachel KochCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-0536-5207
Bethany Hedt-GauthierCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-9689-5413
Brigham and Women's Hospital · USHarvard University · USMinistry of Health · RWTechnical University of Munich · DE

Funding

Using mHealth technology to identify and refer surgical site infections in RwandaR21EB022369 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI HEDT-GAUTHIER, BETHANY, RIVIELLO, ROBERT · 2016 to 2017
$395k
NIBIB NIH HHS R21 EB022369
6 · The paper itself

Abstract

backgroundThe development of a surgical site infection (SSI) after cesarean section (c-section) is a significant cause of morbidity and mortality in low- and middle-income countries, including Rwanda. Rwanda relies on a robust community health worker (CHW)-led, home-based paradigm for delivering follow-up care for women after childbirth. However, this program does not currently include postoperative care for women after c-section, such as SSI screenings.

objectiveThis trial assesses whether CHW's use of a mobile health (mHealth)-facilitated checklist administered in person or via phone call improved rates of return to care among women who develop an SSI following c-section at a rural Rwandan district hospital. A secondary objective was to assess the feasibility of implementing the CHW-led mHealth intervention in this rural district.

methodsA total of 1025 women aged ≥18 years who underwent a c-section between November 2017 and September 2018 at Kirehe District Hospital were randomized into the three following postoperative care arms: (1) home visit intervention (n=335, 32.7%), (2) phone call intervention (n=334, 32.6%), and (3) standard of care (n=356, 34.7%). A CHW-led, mHealth-supported SSI diagnostic protocol was delivered in the two intervention arms, while patients in the standard of care arm were instructed to adhere to routine health center follow-up. We assessed intervention completion in each intervention arm and used logistic regression to assess the odds of returning to care.

resultsThe majority of women in Arm 1 (n=295, 88.1%) and Arm 2 (n=226, 67.7%) returned to care and were assessed for an SSI at their local health clinic. There were no significant differences in the rates of returning to clinic within 30 days (P=.21), with high rates found consistently across all three arms (Arm 1: 99.7%, Arm 2: 98.4%, and Arm 3: 99.7%, respectively).

conclusionsHome-based post-c-section follow-up is feasible in rural Africa when performed by mHealth-supported CHWs. In this study, we found no difference in return to care rates between the intervention arms and standard of care. However, given our previous study findings describing the significant patient-incurred financial burden posed by traveling to a health center, we believe this intervention has the potential to reduce this burden by limiting patient travel to the health center when an SSI is ruled out at home. Further studies are needed (1) to determine the acceptability of this intervention by CHWs and patients as a new standard of care after c-section and (2) to assess whether an app supplementing the mHealth screening checklist with image-based machine learning could improve CHW diagnostic accuracy.

trial registrationClinicalTrials.gov NCT03311399; https://clinicaltrials.gov/ct2/show/NCT03311399.

Indexed as

Community Health WorkersTelemedicineAdolescentAdultCesarean SectionFeasibility StudiesFemaleHumansPregnancyRwandaSurgical Wound Infectioncommunity healthcommunity health workersc-sectioninfectionmobile healthobstetric surgeryRwandasurgical site infections

Identifiers

PMID35675108
PMCPMC9218905
OpenAlexW4282921001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.