Evidence map›Paper›PMID 37900208›Full record

ArticleThe Pan African medical journal2023

Biomedical waste segregation compliance scoring system: to analyze, strengthen, monitor, and step up waste management in healthcare facilities.

Girisha Pindi, Swathi Suravaram, Siva Kandluri, Komali Donavalli

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Girisha PindiDepartment of Microbiology and Infection Control, Employee State Insurance Corporation Super Speciality Hospital, Hyderabad, Telangana, India.
Swathi SuravaramDepartment of Microbiology, ESIC Medical College and Hospital, Hyderabad, Telangana, India.
Siva KandluriDepartment of Microbiology and Infection Control, Employee State Insurance Corporation Super Speciality Hospital, Hyderabad, Telangana, India.
Komali DonavalliDepartment of Microbiology and Infection Control, Employee State Insurance Corporation Super Speciality Hospital, Hyderabad, Telangana, India.
Employees' State Insurance Model Hospital · INDeccan College of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: segregation of biomedical waste (BMW) is the foremost and prime step for effective BMW management. This study was taken up to assess the BMW segregation compliance in patient care areas using a checklist-based scoring system to analyze the segregation compliance and establish feedback-based training programs. Methods: this study was conducted between January 2020 to December 2021 at a government tertiary care hospital in Hyderabad. The compliance was calculated by giving a score of one for each day, such that if there was no noncompliance (NC) the score was 100% for a given location at the end of the month. A score of minus one was given for each day a noncompliance was noted and transfigured into percentages. A score of 100% was considered good, and below 95% was considered an action point necessitating root cause analysis and training. Results: the BMW segregation compliance scores of the hospital for the year 2020 (96.5%) were compared with 2021 scores (97.5%). The outpatient department (OPD) and ICU had the poorest compliance rate of 93.7% and 93.6% respectively, compared to wards (96.2%). The most common factors influencing NC in BMW segregation were the joining of new staff, relocation, or new establishment of wards. The most common segregation error was found in the yellow disposal bags pertaining to the disposal of personal protective equipment. Conclusion: this easy and simple scoring system was established to improve the segregation compliance of BMW. End of each month an area wise compliance is easily made such that areas with low scores could be trained.

Indexed as

Medical Waste DisposalWaste ManagementDelivery of Health CareHealth FacilitiesHospitalsHumansMedical Waste Disposalbiomedical waste monitoringBiomedical waste segregationbiomedical waste segregation compliancehealth care waste

Identifiers

PMID37900208
PMCPMC10611912
OpenAlexW4385957184

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.