Evidence map›Paper›PMID 36949533›Full record

ArticleJournal of pharmaceutical policy and practice2023

Continuity of CVD treatment during the COVID-19 pandemic: evidence from East Java, Indonesia.

Aksari Dewi, Elizabeth Pisani, Bachtiar Rifai Pratita Ihsan, Ayuk Lawuningtyas Hariadini, Anushka Patel, Anna Palagyi, Devarsetty Praveen, Sujarwoto, Diana Lyrawati

Open access · goldFull text read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 3 countries.

Aksari DewiThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia. aksari.iraska@gmail.com.ORCID http://orcid.org/0000-0002-2232-5215
Elizabeth PisaniThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-3674-631X
Bachtiar Rifai Pratita IhsanDepartment of Pharmacy, Faculty of Medicine, Brawijaya University, Malang, East Java, Indonesia.
Ayuk Lawuningtyas HariadiniDepartment of Pharmacy, Faculty of Medicine, Brawijaya University, Malang, East Java, Indonesia.ORCID http://orcid.org/0000-0002-0203-1236
Anushka PatelThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-3825-4092
Anna PalagyiThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-8127-9351
Devarsetty PraveenThe George Institute for Global Health, University of New South Wales, Hyderabad, India.ORCID http://orcid.org/0000-0002-0973-943X
SujarwotoDepartment of Public Administration, Brawijaya University, Malang, East Java, Indonesia.ORCID http://orcid.org/0000-0003-4197-4592
Diana LyrawatiDepartment of Pharmacy, Faculty of Medicine, Brawijaya University, Malang, East Java, Indonesia.
University of Brawijaya · IDUNSW Sydney · AUGeorge Institute for Global Health · IN

Funding

National Health and Medical Research Council NHMRC APP1149987
6 · The paper itself

Abstract

backgroundIn Indonesia, the world's fourth most populous country, cardiovascular diseases (CVDs) are a leading cause of death and disability. Government efforts to reduce the burden of CVD include a community-based prevention and early detection programme, and the provision of medicines to prevent cardiovascular events. Disruptions to medicine supply chains, service provision, and movement during the COVID-19 pandemic potentially threatened the continuity of these efforts. We investigated the distribution and dispensing of common CVD medicines in Malang district, East Java, before the pandemic and early in its course.

methodsFrom January to October 2020, we collected monthly data on stock levels, sales or dispensing volumes, and price for five common CVD medicines (amlodipine, captopril, furosemide, glibenclamide and simvastatin), from a public and a private distributor, and from public health facilities (n = 4) and private pharmacies (n = 2). We further complied monthly data on patient numbers in two primary health centres. We tracked changes in stocks held and volumes dispensed by medicine type and sector, comparing the three months before the local COVID-19 response was mobilised with the subsequent seven months. We conducted interviews with pharmacists (n = 12), community health workers (n = 2) and a supply chain logistics manager to investigate the reasons for observed changes, and to learn details of any impacts or mitigation measures.

resultsThe pandemic affected demand more than supply, causing medicine stocks to rise. Restricted service provision, lock-down measures and fear of infection contributed to a sharp drop in patient numbers and dispensing volumes in the public sector. Meanwhile private sector sales, especially of lower-priced CVD medicines, rose. Community health workers attributed some poor health outcomes to interruption in regular patient check-ups; this interruption was aggravated by formal mitigation policies.

conclusionsFears that COVID-19 would interrupt medicine availability were unfounded in East Java. Public sector patients may have compensated for reduced service access by switching to private pharmacies. Mitigation policies that ignored administrative procedures were not effective.

Identifiers

PMID36949533
PMCPMC10032625
OpenAlexW4353040072

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.