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Showing 2 results for Interrupted Time Series Analysis

Dr Mohammad Arab, Seyed Masood Mousavi, Dr Aidin Arian Khesal, Dr Ali Akbarisari,
Volume 16, Issue 1 (4-2017)
Abstract

Background: in order to quality improvement, accreditation standards implemented with focus on the clinical and non clinical services. A nationwide intervention such as hospital accreditation can affect on measures related to the provision of high quality services. Indeed, such devices can be considered as effective tools in macroeconomic health sector policymaking. The main objective of current study was to investigate the effect of accreditation system on the key performance indicators of hospitals affiliated to Tehran University of Medical Sciences.

Materials and Methods: The study was a semi-experimental and descriptive-analytical one which conducted longitudinal using an Interrupted Time Series Analysis approach. Data related to the key performance indicators including average long of stay, Caesarean percent, turnover rate, patient satisfaction percent, bed occupancy rate, self-ordered discharge from emergency room and net death rate) was accumulated through multiple visits to the hospitals during 2012-2014. STATA software was used for data analysis.

Results: The study results revealed that based on implementation of accreditation model, the average stay of patients in the hospitals cesarean section rate and turn-over intervals decreased, while the percentage of patient satisfaction and bed occupancy average increased. Moreover, self-ordered discharge from emergency room and average of net death rate indicator showed no change.

Conclusion In general, it can be concluded that the health system partially has achieved a part of their objectives means key performance indicators promotion as a result of hospital accreditation implementation in hospitals affiliated to Tehran University of Medical Sciences. In order to assess more accurate investigation and understanding the nature of the system effectiveness, analysis of different aspects of hospitals performance indicators and the nature of their changes in longer period seems to be helpful.


Yahya Salimi, Ali Kazemi-Karyani, Shahin Soltani, Farid Najafi, Zhila Azimi, Bahman Roshani, Sina Ahmadi, Satar Rezaei,
Volume 21, Issue 1 (5-2022)
Abstract

Background: The aim of this study was to evaluate the effect of health sector evolution plan (HSEP) on the prevalence of cesarean section and vaginal delivery in public hospitals in Kermanshah province.

Methods: In the present study, cesarean section (C-section) and vaginal delivery data were collected and evaluated in 17 public hospitals from 2009 to 2019. The main variables of this study included the prevalence of C-section and the prevalence of vaginal delivery for 121 months, both were obtained by dividing the number of deliveries by C-section and vaginal delivery by the total number. Interrupted time series analysis was used to examine the effect of HSEP on the prevalence of cesarean and vaginal delivery rates.

Results: The prevalence of C-section before and after the HSEP was 42.5% and 43.2%, respectively. Months before the intervention, the rate of C-section was increasing by 0.13%, which was statistically significant. In the first month after the intervention, the prevalence of     C-section decreased by 3.6% that was statistically significant. The share of C-section in the months after the implementation of the HSEP showed a monthly increase of 0.12% compared to before the intervention, which was statistically significant.

Conclusions: The results of the study showed that the HSEP has led to a significant reduction in C-section in short term, but in the months after the implementation of the plan, the prevalence of C-section has increased again.

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