Evidence map›Paper›PMID 30481209›Full record

ArticlePloS one2018

Evaluation of a call center to assess post-discharge maternal and early neonatal outcomes of facility-based childbirth in Uttar Pradesh, India.

Jonathon D Gass, Katherine Semrau, Fatima Sana, Anup Mankar, Vinay Pratap Singh, Jennifer Fisher-Bowman, Brandon J Neal, Danielle E Tuller, Bharath Kumar, Stuart Lipsitz and 5 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Observational
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

15 authors.

Jonathon D GassAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-0515-9091
Katherine SemrauAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Fatima SanaPopulation Services International- India, New Delhi, India.
Anup MankarAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Vinay Pratap SinghPopulation Services International- India, New Delhi, India.
Jennifer Fisher-BowmanAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Brandon J NealAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Danielle E TullerAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Bharath KumarPopulation Services International- India, New Delhi, India.
Stuart LipsitzAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Narender SharmaPopulation Services International- India, New Delhi, India.
Bhala KodkanyJawaharlal Nehru Medical College, Belgaum, Karnataka, India.
Vishwajeet KumarCommunity Empowerment Lab, Lucknow, Uttar Pradesh, India.
Atul GawandeAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Lisa R HirschhornAriadne Labs, Brigham & Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and neonatal outcomes in the immediate post-delivery period are critical indicators of quality of care. Data on childbirth outcomes in low-income settings usually require home visits, which can be constrained by cost and access. We report on the use of a call center to measure post-discharge outcomes within a multi-site improvement study of facility-based childbirth in Uttar Pradesh, India.

methodsOf women delivering at study sites eligible for inclusion, 97.9% (n = 157,689) consented to follow-up. All consenting women delivering at study facilities were eligible to receive a phone call between days eight and 42 post-partum to obtain outcomes for the seven-day period after birth. Women unable to be contacted via phone were visited at home. Outcomes, including maternal and early neonatal mortality and maternal morbidity, were ascertained using a standardized script developed from validated survey questions. Data Quality Assurance (DQA) included accuracy (double coding of calls) and validity (consistency between two calls to the same household). Regression models were used to identify factors associated with inconsistency.

findingsOver 23 months, outcomes were obtained by the call center for 98.0% (154,494/157,689) consenting women and their neonates. 87.9% of call center-obtained outcomes were captured by phone call alone and 12.1% required the assistance of a field worker. An additional 1.7% were obtained only by a field worker, 0.3% were lost-to-follow-up, and only 0.1% retracted consent. The call center captured outcomes with a median of 1 call (IQR 1-2). DQA found 98.0% accuracy; data validation demonstrated 93.7% consistency between the first and second call. In a regression model, significant predictors of inconsistency included cases with adverse outcomes (p<0.001), and different respondents on the first and validation call (p<0.001).

conclusionsIn areas with widespread mobile cell phone access and coverage, a call center is a viable and efficient approach for measurement of post-discharge childbirth outcomes.

Indexed as

Call CentersPatient Reported Outcome MeasuresPostpartum PeriodProgram EvaluationFemaleHumansIndiaInfant, NewbornMaleParturitionPatient DischargePostnatal CareQuality ImprovementReproducibility of ResultsSpouses

Identifiers

PMID30481209
PMCPMC6258538

What OpenQuestion holds

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LicenceCC BY
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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.