Evaluation of Healthcare Waste Management Practices and Problems Among Primary and Secondary Hospitals

Active, not recruiting

• Conditions: Healthcare Associated Infection

• Registration Number: NCT06739863
• Lead Sponsor: Superior University

Brief Summary

Healthcare waste is defined as the total waste stream from a healthcare facility. Most of it (75-90%) is similar waste to domestic waste and is known as healthcare general waste and is made up of paper, plastic packaging, food preparation etc. But as a similar proportion (10-25%) is hazards waste and requires special treatment. If these two categories of wastes are not separated properly then the entire volume of healthcare waste is considered as infectious and hazardous to human health and can result in disease and injury so it is necessary to set up a safe and integrated management system.

In this cross-sectional study public hospitals of Mianwali City will be selected by simple random sampling for observation of practices of hospital waste management.

Detailed Description

The data will be collected through structured Questionnaire and possibly on-sit Quantitative data on waste management practices, types of waste, compliance with regulations, and perceived challenges.

Study Timeline

• Study Start: 2024-03-01
• Primary Completion: 2024-07-31
• Status Verified: 2024-12
• Study First Submitted: 2024-12-14
• Study First Submitted QC: 2024-12-14
• Last Update Submitted: 2024-12-14
• Study First Posted: 2024-12-18
• Last Update Posted: 2024-12-18
• Study Completion: 2025-02-28

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 112

Inclusion Criteria

• Operation theatre Staff
• intensive care staff and labour room staff and laboratory room staff will be included.
• Doctors, Nurses, Nursing assistants, OT Technician, Maid's helpers, and sanitary workers.

Exclusion Criteria

• Management staff will be excluded.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
T.Test	12 Months	This is the test statistic that help us how far apart the means of the two groups are, in terms of the standard error of the difference between them. A larger t-value indicates a larger difference between the groups relative to the variation within the groups.

Trial Locations

Locations (1)

all Shumali Tehsil piplan District Mianwali; 🇵🇰 Miānwāli, Punjab, Pakistan