Evidence map›Paper›PMID 35115006›Full record

ArticleBMC health services research2022

Appointment structure in Malaysian healthcare system during the COVID-19 pandemic: The public perspective.

Ramani Subramaniam Kalianan, Yuan Liang Woon, Yee Liang Hing, Chin Tho Leong, Wei Yin Lim, Ching Ee Loo, Lee Lan Low

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Ramani Subramaniam KaliananCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia. dr.skramani@gmail.com.
Yuan Liang WoonCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.
Yee Liang HingCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.
Chin Tho LeongCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.
Wei Yin LimCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.
Ching Ee LooCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Block B4, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.
Lee Lan LowCentre for Health Services Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health, Block B2, Jalan Setia Murni, U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence shows physical distancing of one metre or more is important to reduce person-to-person SARS-CoV-2 transmission. This puts the Malaysian public healthcare system to a test when overcrowding has always been an issue. A new clinical appointment structure was proposed in the Malaysian public healthcare system amidst the pandemic to reduce the transmission risk. We aim to explore the general public's view on the proposed clinic appointment structure.

methodsA cross-sectional anonymous web-based survey was conducted between 10th September 2020 and 30th November 2020. The survey was open to Malaysian aged 18 years and older via various social media platforms. The questionnaire consists of sociodemographic, experience of utilising healthcare facilities, and views on clinic appointment structure.

resultsA total of 1,144 complete responses were received. The mean age was 41.4 ± 12.4 years and more than half of the respondents had a preference for public healthcare. Among them, 77.1% reported to have a clinical appointment scheduled in the past. Less than a quarter experienced off-office hour appointments, mostly given by private healthcare. 70.2% answered they would arrive earlier if they were given a specific appointment slot at a public healthcare facility, as parking availability was the utmost concern. Majority hold positive views for after office hour clinical appointments, with 68.9% and 63.2% agreed for weekend and weekday evening appointment, respectively. The top reason of agreement was working commitment during office hours, while family commitment and personal resting time were the main reasons for disagreeing with off-office hour appointments.

conclusionWe found that majority of our respondents chose to come early instead of arriving on time which disrupts the staggered appointment system and causes over crowdedness. Our findings also show that the majority of our respondents accept off-office hour appointments. This positive response suggests that off-office hour appointments may have a high uptake amongst the public and thus be a possible solution to distribute the patient load. Therefore, this information may help policy makers to initiate future plans to resolve congestions within public health care facilities which in turn eases physical distancing during the pandemic.

Indexed as

COVID-19PandemicsAdultAmbulatory Care FacilitiesCross-Sectional StudiesDelivery of Health CareHumansMiddle AgedSARS-CoV-2AppointmentClinicCOVID-19HealthcareMalaysiaPhysical distancingPublic

Identifiers

PMID35115006
PMCPMC8811595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.