Evidence map›Paper›PMID 36962412›Full record

ArticlePLOS global public health2022

Estimating waiting times, patient flow, and waiting room occupancy density as part of tuberculosis infection prevention and control research in South African primary health care clinics.

Aaron S Karat, Nicky McCreesh, Kathy Baisley, Indira Govender, Idriss I Kallon, Karina Kielmann, Hayley MacGregor, Anna Vassall, Tom A Yates, Alison D Grant

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

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  3. Multimorbidity Management: A Scoping Review of Interventions and Health Outcomes.International journal of environmental research and public health · 2025
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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

10 authors at 6 institutions in 2 countries.

Aaron S KaratTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-9643-664X
Nicky McCreeshTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Kathy BaisleyTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Indira GovenderTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Idriss I KallonDivision of Social and Behavioural Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-8903-4001
Karina KielmannThe Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom.
Hayley MacGregorThe Institute of Development Studies, University of Sussex, Brighton, United Kingdom.
Anna VassallTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Tom A YatesDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6081-1767
Alison D GrantTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBQueen Margaret University · GBImperial College London · GBUniversity of Sussex · GBUniversity of the Witwatersrand · ZAWestern Cape Department of Health · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transmission of respiratory pathogens, such as Mycobacterium tuberculosis and severe acute respiratory syndrome coronavirus 2, is more likely during close, prolonged contact and when sharing a poorly ventilated space. Reducing overcrowding of health facilities is a recognised infection prevention and control (IPC) strategy; reliable estimates of waiting times and 'patient flow' would help guide implementation. As part of the Umoya omuhle study, we aimed to estimate clinic visit duration, time spent indoors versus outdoors, and occupancy density of waiting rooms in clinics in KwaZulu-Natal (KZN) and Western Cape (WC), South Africa. We used unique barcodes to track attendees' movements in 11 clinics, multiple imputation to estimate missing arrival and departure times, and mixed-effects linear regression to examine associations with visit duration. 2,903 attendees were included. Median visit duration was 2 hours 36 minutes (interquartile range [IQR] 01:36-3:43). Longer mean visit times were associated with being female (13.5 minutes longer than males; p<0.001) and attending with a baby (18.8 minutes longer than those without; p<0.01), and shorter mean times with later arrival (14.9 minutes shorter per hour after 0700; p<0.001). Overall, attendees spent more of their time indoors (median 95.6% [IQR 46-100]) than outdoors (2.5% [IQR 0-35]). Attendees at clinics with outdoor waiting areas spent a greater proportion (median 13.7% [IQR 1-75]) of their time outdoors. In two clinics in KZN (no appointment system), occupancy densities of ~2.0 persons/m2 were observed in smaller waiting rooms during busy periods. In one clinic in WC (appointment system, larger waiting areas), occupancy density did not exceed 1.0 persons/m2 despite higher overall attendance. In this study, longer waiting times were associated with early arrival, being female, and attending with a young child. Occupancy of waiting rooms varied substantially between rooms and over the clinic day. Light-touch estimation of occupancy density may help guide interventions to improve patient flow.

Identifiers

PMID36962412
PMCPMC10021248
OpenAlexW4286007678

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read36
identifiers read5
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.