{"title":"Determinants of inpatient satisfaction: evidence from Switzerland.","authors":"Stephan Tobler, Harald Stummer","doi":"10.1108/IJHCQA-03-2020-0044","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>A common way to handle quality problems and increasing costs of modern health care systems is more transparency through public reporting. Thereby, patient satisfaction is seen as one main reported outcome. Previous studies proposed several associated factors. Only a few of them included organizational determinants with potential to inform the health care provider's management. Therefore, the aim of this study was to investigate the influence of organizational contingency factors on patient satisfaction.</p><p><strong>Design/methodology/approach: </strong>As a case, Switzerland's inpatient rehabilitation sector was used. Therein, a cross-sectional study of public released secondary data with an exploratory multiple linear regression (MLR) modeling approach was conducted.</p><p><strong>Findings: </strong>Five significant influencing factors on patient satisfaction were found. They declared 42.2% of the variance in satisfaction on provider level. The organizations' supplementary insured patients, staff payment, outpatients, extracantonal patients and permanent resident population revealed significant correlations with patient satisfaction.</p><p><strong>Research limitations/implications: </strong>Drawing on publicly available cross-sectional data, statistically no causality can be proved. However, integration of routine data and organization theory can be useful for further studies.</p><p><strong>Practical implications: </strong>Regarding inpatient satisfaction, improvement levers for providers' managers are as follow: first, service provision should be customized to patients' needs, expectations and context; second, employees' salary should be adequate to prevent dissatisfaction; third, the main business should be prioritized to avoid frittering.</p><p><strong>Originality/value: </strong>Former studies regarding public reporting are often atheoretical and rarely used organizational variables as determinants for relevant outcomes. Therefore, uniformed data are useful.</p>","PeriodicalId":47455,"journal":{"name":"INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/IJHCQA-03-2020-0044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose: A common way to handle quality problems and increasing costs of modern health care systems is more transparency through public reporting. Thereby, patient satisfaction is seen as one main reported outcome. Previous studies proposed several associated factors. Only a few of them included organizational determinants with potential to inform the health care provider's management. Therefore, the aim of this study was to investigate the influence of organizational contingency factors on patient satisfaction.
Design/methodology/approach: As a case, Switzerland's inpatient rehabilitation sector was used. Therein, a cross-sectional study of public released secondary data with an exploratory multiple linear regression (MLR) modeling approach was conducted.
Findings: Five significant influencing factors on patient satisfaction were found. They declared 42.2% of the variance in satisfaction on provider level. The organizations' supplementary insured patients, staff payment, outpatients, extracantonal patients and permanent resident population revealed significant correlations with patient satisfaction.
Research limitations/implications: Drawing on publicly available cross-sectional data, statistically no causality can be proved. However, integration of routine data and organization theory can be useful for further studies.
Practical implications: Regarding inpatient satisfaction, improvement levers for providers' managers are as follow: first, service provision should be customized to patients' needs, expectations and context; second, employees' salary should be adequate to prevent dissatisfaction; third, the main business should be prioritized to avoid frittering.
Originality/value: Former studies regarding public reporting are often atheoretical and rarely used organizational variables as determinants for relevant outcomes. Therefore, uniformed data are useful.
期刊介绍:
■Successful quality/continuous improvement projects ■The use of quality tools and models in leadership management development such as the EFQM Excellence Model, Balanced Scorecard, Quality Standards, Managed Care ■Issues relating to process control such as Six Sigma, Leadership, Managing Change and Process Mapping ■Improving patient care through quality related programmes and/or research Articles that use quantitative and qualitative methods are encouraged.