Evidence map›Paper›PMID 29703852›Full record

Observational studyBMJ open2018

Evaluation of the feasibility and performance of early warning scores to identify patients at risk of adverse outcomes in a low-middle income country setting.

Abi Beane, Ambepitiyawaduge Pubudu De Silva, Nirodha De Silva, Jayasingha A Sujeewa, R M Dhanapala Rathnayake, P Chathurani Sigera, Priyantha Lakmini Athapattu, Palitha G Mahipala, Aasiyah Rashan, Sithum Bandara Munasinghe and 3 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02523456 (Develop, Implement and Assess Effectiveness of Early Warning Score), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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.

NCT02523456 nacompletednot on this map

Develop, Implement and Assess Effectiveness of Early Warning Score (EWS) for Moneragala District General Hospital

TypeinterventionalSponsorMinistry of Health, Sri LankaRan2015 to 2016Enrolled18,000ConditionsCardiac ArrestArmsTraining, Introduce EWS
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Role of Early Warning Scoring Systems NEWS and MEWS in the Acute Exacerbation of COPD.Clinical medicine insights. Circulatory, respiratory and pulmonary medicine · 2023
    Article
  11. Article
  12. Article
  13. Two simple replacements for the Triage Early Warning Score to facilitate the South African Triage Scale in low resource settings.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2021
    Article
  14. Article
  15. Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Review
  16. Article
  17. Article
  18. Is the Tail Wagging the Dog in Sepsis?Critical care medicine · 2018
    Article
  19. Article
  20. 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

13 authors.

Abi BeaneNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.
Ambepitiyawaduge Pubudu De SilvaNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.
Nirodha De SilvaMonaragala District General Hospital, Monaragala, Sri Lanka.
Jayasingha A SujeewaMonaragala District General Hospital, Monaragala, Sri Lanka.
R M Dhanapala RathnayakeMonaragala District General Hospital, Monaragala, Sri Lanka.
P Chathurani SigeraNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.
Priyantha Lakmini AthapattuNational Intensive Care Surveillance, Castle Street Hospital for Women, Colombo, Sri Lanka.
Palitha G MahipalaOffice of Director General of Health Services, Ministry of Health, Colombo, Sri Lanka.
Aasiyah RashanNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.
Sithum Bandara MunasingheNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.
Kosala Saroj Amarasiri JayasingheDepartment of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Arjen M DondorpMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Rashan HaniffaNetwork for Improving Critical Care Systems and Training, Colombo, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study describes the availability of core parameters for Early Warning Scores (EWS), evaluates the ability of selected EWS to identify patients at risk of death or other adverse outcome and describes the burden of triggering that front-line staff would experience if implemented.

designLongitudinal observational cohort study.

settingDistrict General Hospital Monaragala.

participantsAll adult (age >17 years) admitted patients.

main outcome measuresExisting physiological parameters, adverse outcomes and survival status at hospital discharge were extracted daily from existing paper records for all patients over an 8-month period. STATISTICAL ANALYSIS: Discrimination for selected aggregate weighted track and trigger systems (AWTTS) was assessed by the area under the receiver operating characteristic (AUROC) curve.Performance of EWS are further evaluated at time points during admission and across diagnostic groups. The burden of trigger to correctly identify patients who died was evaluated using positive predictive value (PPV).

resultsOf the 16 386 patients included, 502 (3.06%) had one or more adverse outcomes (cardiac arrests, unplanned intensive care unit admissions and transfers). Availability of physiological parameters on admission ranged from 90.97% (95% CI 90.52% to 91.40%) for heart rate to 23.94% (95% CI 23.29% to 24.60%) for oxygen saturation. Ability to discriminate death on admission was less than 0.81 (AUROC) for all selected EWS. Performance of the best performing of the EWS varied depending on admission diagnosis, and was diminished at 24 hours prior to event. PPV was low (10.44%).

conclusionThere is limited observation reporting in this setting. Indiscriminate application of EWS to all patients admitted to wards in this setting may result in an unnecessary burden of monitoring and may detract from clinician care of sicker patients. Physiological parameters in combination with diagnosis may have a place when applied on admission to help identify patients for whom increased vital sign monitoring may not be beneficial. Further research is required to understand the priorities and cues that influence monitoring of ward patients. TRIAL REGISTRATION NUMBER: NCT02523456.

Indexed as

Critical IllnessHospital MortalityIntensive Care UnitsAdultCohort StudiesDeveloping CountriesFemaleHeart ArrestHumansMaleRisk Factorsaggregate weighted track and trigger systemsearly warning scoreslow-income and middle-income countrysingle parameter track and trigger systems

Identifiers

PMID29703852
PMCPMC5922475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.