Evidence map›Paper›PMID 37423630›Full record

ArticleBMJ open2023

Readiness of health facilities to provide services related to non-communicable diseases in Nepal: evidence from nationally representative Nepal Health Facility Survey 2021.

Bikram Adhikari, Achyut Raj Pandey, Bipul Lamichhane, Saugat Pratap Kc, Deepak Joshi, Shophika Regmi, Santosh Giri, Sushil Chandra Baral

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06623006 (Self Management of Type 2 Diabetes Using a Co-designed Mobile Health), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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.

NCT06623006 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Self Management of Type 2 Diabetes Using a Co-designed Mobile Health (Mhealth) Intervention in Nepal: A Randomized Control Trial

TypeinterventionalSponsorUniversity of HuddersfieldRan2025 to 2026Enrolled154ConditionsType 2 Diabetes Mellitus (T2DM)Armsmobile health (mhealth)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 8 citations in OpenAlex.

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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.

Bikram Adhikari *Research, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal bikram.adhikariadhitya@gmail.com.ORCID 0000-0002-4299-9233
Achyut Raj Pandey *Research, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0002-1037-1273
Bipul LamichhaneResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0002-2501-093X
Saugat Pratap KcResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0002-3032-6672
Deepak JoshiResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0001-8539-7411
Shophika RegmiResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0003-4762-0162
Santosh GiriResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0002-5186-7814
Sushil Chandra BaralResearch, Evaluation and Innovation Department, HERD International, Kathmandu, Nepal.ORCID 0000-0002-3425-6915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the readiness of public and private health facilities (HFs) in delivering services related to non-communicable diseases (NCDs) in Nepal.

methodsWe analysed data from nationally representative Nepal Health Facility Survey 2021 to determine the readiness of HFs for cardiovascular diseases (CVDs), diabetes mellitus (DM), chronic respiratory diseases (CRDs) and mental health (MH)-related services using Service Availability and Readiness Assessment Manual of the WHO. Readiness score was measured as the average availability of tracer items in per cent, and HFs were considered 'ready' for NCDs management if they scored ≥70 (out of 100). We performed weighted univariate and multivariable logistic regression to determine the association of HFs readiness with province, type of HFs, ecological region, quality assurance activities, external supervision, client's opinion review and frequency of meetings in HFs.

resultsThe overall mean readiness score of HFs offering CRDs, CVDs, DM and MH-related services was 32.6, 38.0, 38.4 and 24.0, respectively. Guidelines and staff training domain had the lowest readiness score, whereas essential equipment and supplies domain had the highest readiness score for each of the NCD-related services. A total of 2.3%, 3.8%, 3.6% and 3.3% HFs were ready to deliver CRDs, CVDs, DM and MH-related services, respectively. HFs managed by local level were less likely to be ready to provide all NCD-related services compared with federal/provincial hospitals. HFs with external supervision were more likely to be ready to provide CRDs and DM-related services and HFs reviewing client's opinions were more likely to be ready to provide CRDs, CVDs and DM-related services.

conclusionReadiness of the HFs managed by local level to provide CVDs, DM, CRDs and MH-related services was relatively poor compared with federal/provincial hospitals. Prioritisation of policies to reduce the gaps in readiness and capacity strengthening of the local HFs is essential for improving their overall readiness to provide NCD-related services.

Indexed as

Diabetes MellitusNoncommunicable DiseasesRespiration DisordersHealth FacilitiesHealth Services AccessibilityHealth SurveysHumansNepalSurveys and Questionnairescardiac epidemiologychronic airways diseasegeneral diabeteshospitalsmental healthpublicpublic health

Identifiers

PMID37423630
PMCPMC10335515
OpenAlexW4383682502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.