Evidence map›Paper›PMID 31894511›Full record

Observational studyMaternal and child health journal2020

Beneath the Surface: A Comparison of Methods for Assessment of Quality of Care for Maternal and Neonatal Health Care in Rural Uganda.

Joseph R Egger, Jennifer Headley, Yixuan Li, Min Kyung Kim, Julius Kirya, Luke Aldridge, Stefanie Weiland, Joy Noel Baumgartner

Abstract readComparative StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Maternal and child health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  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

8 authors at 3 institutions in 1 country.

Joseph R EggerDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27708, USA. joseph.egger@duke.edu.
Jennifer HeadleyDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27708, USA.
Yixuan LiDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27708, USA.
Min Kyung KimDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27708, USA.
Julius KiryaLifeNet International, Kampala, Uganda.
Luke AldridgeJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Stefanie WeilandAmerican Leprosy Missions, Washington, DC, USA.
Joy Noel BaumgartnerDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27708, USA.
Duke University · USAmerican Leprosy Missions · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEfforts to improve access to healthcare in low-income countries will not achieve the maternal and child health (MCH) Sustainable Development Goals unless a concomitant improvement in the quality of care (QoC) occurs. This study measures infrastructure and QoC indicators in rural Ugandan health facilities. Valid measure of the quality of current clinical practices in resource-limited settings are critical for effectively intervening to reduce adverse maternal and neonatal outcomes.

methodsFacility-based assessments of infrastructure and clinical quality during labor and delivery were conducted in six primary care health facilities in the greater Masaka area, Uganda in 2017. Data were collected using direct observation of clinical encounters and facility checklists. Direct observation comprised the entire delivery process, from initial client assessment to discharge, and included emergency management (e.g. postpartum hemorrhage, neonatal resuscitation). Health providers were assessed on their adherence to best practice standards of care.

resultsThe quality of facility infrastructure was relatively high in facilities, with little variation in availability of equipment and supplies. However, heterogeneity in adherence to best clinical practices was noted across procedure type and facility. Adherence to crude measures of clinical quality were relatively high but more sensitive measures of the same clinical practice were found to be much lower. CONCLUSIONS FOR PRACTICE: Standard indicators of clinical practice may be insufficient to validly measure clinical quality for maternal and newborn care if we want to document evidence of impact.

Indexed as

FemaleHealth FacilitiesHealth Services AccessibilityHumansInfant HealthMaternal-Child Health ServicesPatient SafetyPregnancyPregnancy ComplicationsQuality Indicators, Health CareQuality of Health CareRural Health ServicesRural PopulationUgandaAdherenceClinicalDirect clinical observationLow-income countriesMaternal and child healthQuality of care

Identifiers

PMID31894511
OpenAlexW2998389463

What OpenQuestion holds

Textmetadata
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.