Evidence map›Paper›PMID 34655106›Full record

ArticleThe International journal of health planning and management2022

The potential roles of pharmacy medication sales data to augment the syndromic surveillance system in response to COVID-19 and preparedness for other future infectious disease outbreaks in Indonesia.

Luh Putu Lila Wulandari, Anak Agung Sagung Sawitri, Andi Hermansyah

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Article in The International journal of health planning and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Luh Putu Lila WulandariThe Kirby Institute, UNSW, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3397-3648
Anak Agung Sagung SawitriFaculty of Medicine, Universitas Udayana, Bali, Indonesia.ORCID https://orcid.org/0000-0002-8374-5213
Andi HermansyahFaculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0002-9716-3126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndonesia faces a continuous threat from communicable disease outbreaks. The current COVID-19 outbreak, the previous one of SARS, and many other infectious outbreaks encountered in the country warn of the need to develop comprehensive early warning systems to enable timely health responses in the long run. In this article, we argue that over the counter medication sales data at community pharmacies in Indonesia can potentially augment and increase the detection power of the current syndromic surveillance system, particularly in dealing with COVID-19 and other future infectious disease outbreaks in the country. MAIN BODY: This article discusses the experience of other countries in employing pharmacy medication sales data to serve as potential syndromic surveillance platform and contribute to pandemic responses. We argue why it is worth considering utilising medication sales data from pharmacies in Indonesia to support the current surveillance system which enables the provision of early warnings of disease outbreaks. We then discuss the potential challenges of operationalising these data and suggest a way forward for the development and implementation of the syndromic surveillance system at community pharmacy settings in Indonesia.

conclusionWhile there are several challenges in developing a workable system in Indonesia that need to be addressed, introducing a syndromic surveillance system using pharmacy-setting medication sales data is worth investigating in the country.

Indexed as

COVID-19PharmaciesPharmacyDisease OutbreaksHumansIndonesiaSARS-CoV-2Sentinel Surveillancedisease outbreakIndonesiamedication sales dataover the counter medicinepharmacysyndromic surveillance

Identifiers

PMID34655106
PMCPMC8653064

What OpenQuestion holds

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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.