Evidence map›Paper›PMID 33023408›Full record

ArticleGlobal health action2020

In-service nurse mentoring in 2020, the year of the nurse and the midwife: learning from Bihar, India.

Adam D Koon, Jerilyn Hoover, Sunil Sonthalia, Erica Rosser, Aboli Gore, Krishna D Rao

Abstract read
In one paragraph

Article in Global health action, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Adam D KoonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD, USA.ORCID 0000-0002-9031-9810
Jerilyn HooverDepartment of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD, USA.ORCID 0000-0002-9721-1941
Sunil SonthaliaBihar Technical Support Program, CARE India , Patna, India.
Erica RosserDepartment of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD, USA.
Aboli GoreBihar Technical Support Program, CARE India , Patna, India.
Krishna D RaoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-service nurse mentoring is increasingly seen as a way to strengthen the quality of health care in rural areas, where healthworkers are scarce. Despite this, the evidence base for designing large-scale programs remains relatively thin. In this capacity-building article, we reflect on the limited evidence that exists and introduce features of the world's largest program, run by CARE-India since 2015. Detail on the mechanics of large-scale programs is often missing from empirical research studies, but is a crucial aspect of organizational learning and development. Moreover, by focusing on the complex ways in which capacity-building is being institutionalized through an embedded model of in-service mentorship, this article bridges research and practice. We point to a number of areas that require further research as well as considerations for program managers designing comparable workforce strengthening programs. With careful planning and cross-national policy learning, we propose that in-service nurse mentoring may offer a cost-effective and appropriate workforce development approach in a variety of settings.

Indexed as

Capacity BuildingHealth Services ResearchHumansIndiaMentoringMidwiferyStaff DevelopmentHuman resources for healthIndiamentoringquality of carerural health

Identifiers

PMID33023408
PMCPMC7580717

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.