Evidence map›Paper›PMID 34348723›Full record

ArticleBMC health services research2021

Improving access to medicines for non-communicable diseases in rural primary care: results from a quasi-randomized cluster trial in a district in South India.

Manoj Kumar Pati, Upendra Bhojani, Maya Annie Elias, Prashanth N Srinivas

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 23% 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.

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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 2 countries.

Manoj Kumar PatiKarnataka Health Promotion Trust, IT park, 5th floor, No. 1-4, Rajajinagar Industrial Area, behind, KSSIDC admin. office, Rajajinagar, Bangalore, Karnataka, 560044, India.
Upendra BhojaniInstitute of Public Health, 3009 II-A Main, 17th Cross Banashankari 2nd Stage KR Road, Bangalore, Karnataka, 560070, India.
Maya Annie EliasInstitute of Public Health, 3009 II-A Main, 17th Cross Banashankari 2nd Stage KR Road, Bangalore, Karnataka, 560070, India.
Prashanth N SrinivasInstitute of Public Health, 3009 II-A Main, 17th Cross Banashankari 2nd Stage KR Road, Bangalore, Karnataka, 560070, India. prashanthns@iphindia.org.ORCID http://orcid.org/0000-0003-0968-0826
Institute of Public Health Bengaluru · INUniversity of Antwerp · BE

Funding

Alliance for Health Policy and Systems Research 2014/459766-0DBT-Wellcome Trust India Alliance IA/CPHI/16/1/502648DBT-Wellcome Trust India Alliance IA/CPHI/17/1/503346
6 · The paper itself

Abstract

backgroundA large proportion of non-communicable diseases (NCDs) are treatable within primary health care (PHC) settings in a cost-effective manner. However, the utilization of PHCs for NCD care is comparatively low in India. The Access-to-Medicines (ATM) study examined whether (and how) interventions aimed at health service optimization alone or combined with community platform strengthening improve access to medicines at the primary health care level within the context of a local health system.

methodA quasi-randomized cluster trial was used to assess the effectiveness of the intervention (18 months) implemented across 39 rural PHCs (clusters) of three sub-districts of Tumkur in southern India. The intervention was allocated randomly in a 1:1:1 sequence across PHCs and consisted of three arms: Arm A with a package of interventions aimed at health service delivery optimization; B for strengthening community platforms in addition to A; and the control arm. Group allocation was not blinded to providers and those who assessed outcomes. A household survey was used to understand health-seeking behaviour, access and out-of-pocket expenditure (OOP) on key anti-diabetic and anti-hypertension medicines among patients; facility surveys were used to assess the availability of medicines at PHCs. Primary outcomes of the study are the mean number of days of availability of antidiabetic and antihypertensive medicines at PHCs, the mean number of patients obtaining medicines from PHC and OOP expenses.

resultThe difference-in-difference estimate shows a statistically insignificant increase of 31.5 and 11.9 in mean days for diabetes and hypertension medicines availability respectively in the study arm A PHCs beyond the increase in the control arm. We further found that there was a statistically insignificant increase of 2.2 and 3.8 percentage points in the mean proportion of patients obtaining medicines from PHC in arm A and arm B respectively, beyond the increase in the control arm.

conclusionThere were improvements in NCD medicine availability across PHCs, the number of patients accessing PHCs and reduction in OOP expenditure among patients, across the study arms as compared to the control arm; however, these differences were not statistically significant.

trial registrationTrial registration number CTRI/2015/03/005640 . This trial was registered on 17/03/2015 in the Clinical Trial Registry of India (CTRI) after PHCs were enrolled in the study (retrospectively registered). The CTRI is the nodal agency of the Indian Council of Medical Research for registration of all clinical, experimental, field intervention and observation studies.

Indexed as

Noncommunicable DiseasesHealth Services AccessibilityHumansIndiaPrimary Health CareRural PopulationAccess to medicinesCluster-randomized controlled trialDiabetes and hypertensionNoncommunicable diseasesOut-of-pocket Health expenditurePrimary health care

Identifiers

PMID34348723
PMCPMC8336076
OpenAlexW3159262411

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.