M Farahbakhsh, A Nikniaz, A Mardi, A Hasan Zade, S Entezar,
Volume 12, Issue 1 (21 2013)
Abstract
Background: utilizing control chart in customer satisfaction evaluation is one of the effective tools in making results of customer analysis practical. This study was conducted to design the method of utilizing control chart in monitoring customer satisfaction in health care facilities.This prospective study measured service recipients' satisfaction in a three month period in a public hospital using a questionnaire in likert scale. After gathering initial data they were analyzed using SPSS and Excel soft wares .In order to evaluate customer satisfaction a ten parameter checklist and interview was used. The average and standard deviation of decuple and quintuple subgroups were compared.
Results: In a three month period the average patient satisfaction score was 4.5 in likert 5 score scale.There wasn't a significant statistical difference between 5,10,25 day duration in patient satisfaction. In addition there wasn't significant statistical difference between 5 samples per day and 10 samples per day and all samples in a day. R-X diagram was used for PSS monitoring.
Conclusion: The results of this study showed that the average PSS in 20 and 25 day periods had no significant difference with 3 month PSS and also there wasn't significant statistical difference between average PSS in decuple and quintuple subgroups.
J.s Tabrizi , K Gholipour , R Alipour , M Farahbakhsh , M Asghari-Jafarabadi, M Haghaei ,
Volume 12, Issue 4 (3-2014)
Abstract
Objective: This study was aimed to assess Service Quality (SQ) of maternity care from the perception of pregnant women.
Methods and materials: A cross-sectional study was conducted using a sample of 185 pregnant women at the 9th month of pregnancy were selected randomly from 40 health posts and urban health centers in Tabriz, Iran. Service Quality was calculated using: SQ = 10 – (Importance × Performance) based on importance and performance of non-health aspects from the customer’ perspective. Data collection used a researcher-developed questionnaire whose validity and reliability was reviewed and confirmed. Data analyzed using SPSS-17 software. Independent sample T-test and ANOVA were used to investigate relationship between service quality dimensions and categorical variables.
Results: From the customers’ perspective the average service quality score was 7.59 of 10. Service quality aspects of “confidentiality” achieved scores at the level of good quality (≥9) and “support group” (3.48) reached low service quality scores. Also, result indicate housewife assess SQ better than worker (p=0.047) and mother who's have planned pregnancy has had greater SQ score (p=0.022). Although, in the linear regression analysis, job status and planned pregnancy were significantly and independently related to SQ score.
Conclusion: Findings revealed a significant room for quality improvement in most aspects of provided care, particularly support group and safety from the perception of people who received maternity care.
