Evidence map›Paper›PMID 36505582›Full record

ArticleJournal of family medicine and primary care2022

Effect on essential health services during COVID-19 at the Primary level in India.

Tarannum Ahmed, Neha Dumka, Deepak Bhagat, Erin Hannah, Atul Kotwal

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. 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

5 authors.

Tarannum AhmedKnowledge Management Division, National Health Systems Resource Centre, Munirka, New Delhi, India.
Neha DumkaKnowledge Management Division, National Health Systems Resource Centre, Munirka, New Delhi, India.
Deepak BhagatCentre of Social Medicine and Community Health, Jawaharlal Nehru University, New Delhi, India.
Erin HannahKnowledge Management Division, National Health Systems Resource Centre, Munirka, New Delhi, India.
Atul KotwalExecutive Director, National Health Systems Resource, Ministry of Health and Family Welfare, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus diesease (COVID-19) led to increased demand on the Indian health system due to the pandemic as well as other communicable and non-communicable diseases. Guidance was thus issued by the Ministry of Health and Family Welfare (MoHFW), India, in April 2020 to maintain the delivery of essential health services. Objectives: To determine the extent of disruptions of essential healthcare services, identify associated factors, and establish pertinent correlations to address specific needs. Methods: The Mother and child tracking facilitation centre (MCTFC) conducted a telephonic survey with the front-line workers (FLWs) and beneficiaries in 21 Indian states. The sample size was determined using the infinite population sample size formula, and respondents were selected through a computer-generated random sequence technique. Data were quantitatively analysed using STATA-16. Descriptive univariate analysis was conducted using the Chi-square test. Findings: The majority of the essential health services were being satisfactorily delivered by FLWs ( Conclusion: Although overwhelmed, the Indian health system performed satisfactorily well during pandemic in terms of essential health services.

Indexed as

ANMASHACOVID-19essential health servicesIndiapostnatal womenpregnant womenPrimary level

Identifiers

PMID36505582
PMCPMC9731057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.