Healthcare Associated Infection
Conditions
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.
Interventions
OTHERhealthcare waste management
To evaluate and compare the healthcare waste management practices in primary and secondary hospital Mianwali. Focuses on assessing the current methods of waste disposal, segregation, treatment, and overall management in healthcare settings at two different levels of care: primary and secondary hospitals.
Sponsors
Superior University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
25 Years to 60 Years
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
Pakistan
Outcome results
None listed