Evidence map›Paper›PMID 31046754›Full record

ReviewBMC health services research2019

Harmonizing scientific rigor with political urgency: policy learnings for identifying accelerators for scale-up from the safe childbirth checklist programme in Rajasthan, India.

Somesh Kumar, Priti Dave, Ashish Srivastava, Jelle Stekelenburg, Dinesh Baswal, Deepti Singh, Bulbul Sood, Vikas Yadav

Abstract readReview
In one paragraph

Review in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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.

Somesh KumarJhpiego-an affiliate of Johns Hopkins University, 29, Okhla Phase -3, New Delhi, 110019, India.
Priti DaveChildren's Investment Fund Foundation (CIFF), London, United Kingdom.
Ashish SrivastavaJhpiego-an affiliate of Johns Hopkins University, 29, Okhla Phase -3, New Delhi, 110019, India. asheishsrivastava@gmail.com.ORCID http://orcid.org/0000-0003-3100-3581
Jelle StekelenburgDepartment of Health Sciences, Global Health, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands.
Dinesh BaswalMaternal Health Division, Ministry of Health & Family Welfare, Government of India, New Delhi, India.
Deepti SinghJhpiego-an affiliate of Johns Hopkins University, 29, Okhla Phase -3, New Delhi, 110019, India.
Bulbul SoodJhpiego-an affiliate of Johns Hopkins University, 29, Okhla Phase -3, New Delhi, 110019, India.
Vikas YadavJhpiego-an affiliate of Johns Hopkins University, 29, Okhla Phase -3, New Delhi, 110019, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuick scaling-up of innovative and promising interventions in health systems of low and middle-income countries to rapidly achieve population level benefits is a key challenge. While there is consensus on the need for rigorous scientific evidence on effectiveness of interventions before considering scale-up, there can be significant time lag for the want of gold-standard evidence. The Safe Childbirth Checklist (SCC) programme in India, demonstrated how an innovation was robustly evaluated and scaled up nationally, within a short span of time. In this narrative review, we describe the strategies discussed in various published scale-up frameworks and map them against the strategies adopted by the SCC programme to identify accelerators which facilitated its rapid scale up.

methodsThe narrative review - done from May to June 2017 - involved keyword searches of electronic databases of PubMed, Ovid Medline and Google Scholar. It included the key words 'pilot', 'health innovations', 'scale-up', 'replication', 'expansion', 'increased coverage', 'conceptual models for scale-up', 'frame-works for scale-up', 'evidence for scale-up' in the title of publications,. This search was limited to publications in English after the year 1995. We used snowball sampling approach (by referring to bibliographies of shortlisted publications) to identify additional publications related to scale-up. We then screened the identified publications independently and relevant publications that discussed attributes for a conceptual model for scale-up of public health interventions in low and middle-income countries were shortlisted. We then mapped the strategies we used in SCC program scale up against those described in the shortlisted frameworks to identify seven accelerators which facilitated rapid scale up.

resultsThe identified accelerators were: testing the intervention in real world, resource constrained settings; using an appropriate and time sensitive research design; testing the intervention at substantial scale and in diverse settings; using an adaptive and iterative prototyping approach for implementation; sharing data and evidence with key stakeholders on an ongoing basis; targeting bridge resources through strategic engagement of stakeholders and timely integration of scale-up plans with annual planning and budgeting cycles and systems.

conclusionThese accelerators will complement current frameworks and provide guidance to future scale-up initiatives in India and elsewhere.

Indexed as

ChecklistDelivery, ObstetricHealth PolicyProgram DevelopmentDelivery of Health CareFemaleHumansIndiaMaternal Health ServicesParturitionPregnancyLow and middle income countriesMaternal and newborn healthPublic health interventionsSafe childbirth checklist programmeScale-up

Identifiers

PMID31046754
PMCPMC6498660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.