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Article in English | IMSEAR | ID: sea-124437

ABSTRACT

The parameters that indicate the quality of patient care in acute appendicits (AA) were evaluated. One hundred sixty-four patients, who underwent emergency appendectomy (EA) at the B.P. Koirala Institute of Health Sciences, Dharan, Nepal were studied prospectively. The mean duration of the symptoms was 42.2 +/- 69.5 hours (range 2-720 hours, median 24 hours). The mean waiting period in the hospital was as 12.7 +/- 21.8 hours (range 1-188 hours, median 7 hours). Special investigations' such ultrasonography, computed tomography or laparoscopy, were not used for diagnosis. The perforation rate was 39%. The histopathology report of 79% of the patients was available. Diagnostic accuracy in histologically evaluated patients was 91.5%. One patient (0.6%) died. The mean hospital stay was 3.2 +/- 2.0 days (range 1-17 days). Patients who had to wait in hospital for < 24 hours before surgery had a longer duration of symptoms, underwent exploratory laparotomy through a mid-line incision more frequently, had a higher incidence of perforated/gangrenous appendix and longer hospital stay. The mean medical expenditure for patients treated in the general ward was Nepali Rupees (NR) 2485 +/- 504 (range NR 1372-4500). The majority of patients/guardians (88%-97%) were satisfied with the medical expenditure incurred, promptness of service, behaviour of the hospital staff and the facilities available in the hospital. The diagnostic accuracy and cost of treatment were favourable. The longer duration of symptoms, non-utilization of special investigations for diagnosis, high perforation rate and less than cent-per cent biopsy rate are the aspects that require attention to improve the quality of surgical care.


Subject(s)
Acute Disease , Adolescent , Aged , Appendectomy/statistics & numerical data , Appendicitis/diagnosis , Child , Child, Preschool , Female , Humans , Male , Middle Aged , Nepal/epidemiology , Prospective Studies , Quality Assurance, Health Care/statistics & numerical data
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