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World J Surg ; 41(2): 394-401, 2017 Feb.
Article in English | MEDLINE | ID: mdl-27734081

ABSTRACT

BACKGROUND: Privatization is widely perceived as a tool to improve healthcare access; however, its impact on the access of surgical care has not been quantified. We used cholecystectomy as a model to assess the variation in access between coexisting public (PB) and private providers (PVs). METHODS: We performed cross-sectional analysis of patients who underwent cholecystectomy at two major PB and PV groups serving Riyadh, Saudi Arabia. Representative sample sizes were estimated based on 95 % confidence level and ±5 confidence interval (CI). Exclusion criteria were major comorbidities, emergency cholecystectomies, age ≥60 and concurrent non-minor procedures. Data collected were patients' demographics, payer status, and durations of symptoms, diagnosis and hospitalization. RESULTS: Between 2012 and 2104, samples of 330 and 297 were randomly selected from the total of 2164 and 1315 cases performed at PV and PB, respectively. Seventy-eight PV and 73 PB cases were excluded. The distribution of publically funded/insured/self-paid was (3/179/70 PV) and (209/0/4 PB), respectively. Median durations between symptoms and surgery for PV and PB cases were 90 and 365 days (P < 0.001), respectively, while the wait times after ultrasound-based diagnosis were 125 and 11 days (P < 0.001), respectively. Median hospitalization time was significantly shorter in PV compared to PB (1 vs. 2 days, P = 0.001), and same-day admissions were more frequent in PV 94 % than PB 41 % (RR 2.3, CI 1.9-2.7). CONCLUSIONS: When coexist in a competitive environment, PV offers a remarkably better access to cholecystectomies compared to PB. Facilitating access to PV can be an effective strategy to improve patient's access to surgical care.


Subject(s)
Cholecystectomy , Health Services Accessibility , Privatization , Time-to-Treatment/statistics & numerical data , Adult , Cross-Sectional Studies , Economic Competition , Female , Humans , Length of Stay/statistics & numerical data , Male , Saudi Arabia
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