Evidence map›Paper›PMID 33651316›Full record

ArticleHealth care management science2021

Assessing the efficiency of Malaysia health system in COVID-19 prevention and treatment response.

Nurhafiza Md Hamzah, Ming-Miin Yu, Kok Fong See

Open access · bronzeAbstract read
In one paragraph

Article in Health care management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 60 citations in OpenAlex.

  1. Altitude and case fatality rate from COVID-19 during the pandemic in Peru, 2020-2022.Revista peruana de medicina experimental y salud publica · 2026
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  18. What will the ambitions of primary healthcare be in the 21The Pan African medical journal · 2022
    Article
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  20. A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends.Archives of computational methods in engineering : state of the art reviews · 2022
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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 at 3 institutions in 3 countries.

Nurhafiza Md HamzahPlanning Division, Ministry of Health Malaysia, Putrajaya, Malaysia.
Ming-Miin YuDepartment of Transportation Science, National Taiwan Ocean University, Keelung City, Taiwan.
Kok Fong SeeEconomics Programme, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang, Malaysia. kfsee@usm.my.ORCID http://orcid.org/0000-0002-3536-7131
Ministry of Health · MYNational Taiwan Ocean University · TWUniversity of Massachusetts Lowell · US

Funding

Malaysia Productivity Corporation 304/PJJAUH/6501035/M141
6 · The paper itself

Abstract

Malaysia was faced with a life-threatening crisis in combating COVID-19 with a number of positive cases reaching 5305 and 88 deaths by 18th April 2020 (the first detected case was on 25th January 2020). The government rapidly initiated a public health response and provided adequate medical care to manage the public health crisis during the implementation of movement restrictions, starting 18th March 2020, throughout the country. The objective of this study was to investigate the relative efficiency level of managing COVID-19 in Malaysia using network data envelopment analysis. Malaysia state-level data were extracted from secondary data sources which include variables such as total number of confirmed cases, death cases and recovered cases. These variables were used as inputs and outputs in a network process that consists of 3 sub processes i) community surveillance, ii) medical care I and iii) medical care II. A state-level analysis was performed according to low, medium and high population density categories. The efficiency level of community surveillance was highest compared to medical care processes, indicating that the overall inefficiency is greatly influenced by the inefficiency of the medical care processes rather than the community surveillance process. Results showed that high-density category performed well in both community surveillance and medical care II processes. Meanwhile, low-density category performed better in medical care I process. There was a good overall performance of the health system in Malaysia reflecting a strong preparedness and response level to this pandemic. Furthermore, resource allocation for rapid response was distributed effectively during this challenging period.

Indexed as

COVID-19 Drug TreatmentEfficiency, OrganizationalAlgorithmsCOVID-19Databases, FactualDelivery of Health CareHumansMalaysiaPandemicsPopulation SurveillancePublic HealthSARS-CoV-2COVID-19 prevention and treatmentEfficiency measurementMalaysiaNetwork DEA

Identifiers

PMID33651316
PMCPMC7921615
OpenAlexW3135173400

What OpenQuestion holds

Textmetadata
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.