{"title":"Innovative Service Quality Boosts Patient Satisfaction","authors":"Muhammad Zaqqi Zamroni Firdaus, A. S. Cahyana","doi":"10.21070/ijins.v25i4.1182","DOIUrl":null,"url":null,"abstract":"This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment. \n \nHighlight: \n \nKey Findings: Doctor interaction highly impacts patient loyalty and satisfaction. \nRecommendation: Implement web-based queue management for improved healthcare service. \nFuture Research: Expand service quality variables for a broader patient assessment. \n \n \n \nKeyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":"118 23","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Innovation Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21070/ijins.v25i4.1182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment.
Highlight:
Key Findings: Doctor interaction highly impacts patient loyalty and satisfaction.
Recommendation: Implement web-based queue management for improved healthcare service.
Future Research: Expand service quality variables for a broader patient assessment.
Keyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management