METHODOLOGY: Data were collected form 5310 patients in 249 private clinics. The patients evaluated their satisfaction on the quality of service on the basis of nine criteria that comprised 31 subcriteria. We used multicriteria satisfaction analysis (MUSA) to analyze the data.
FINDINGS AND CONCLUSION: The data analysis results showed low level of satisfaction on the health care quality services offered by the private clinics in Yemen. The majority of the criteria and subcriteria showed low level of satisfaction, high demand, and high mandate for improvement.
METHODS: A questionnaire based on the Joint Commission International Accreditation Standards was electronically sent to 3 institutions each in 10 geographical regions across 9 Asian countries. Questions addressing 45 practices were divided into 3 categories. A five-tier scale with numerical scores was used to evaluate safety practices in each institution. Responses obtained from three institutions in the United States were used to validate the execution rate of each surveyed safety practice.
RESULTS: The institutional response rate was 70.0% (7 Asian regions, 21 institutions). 44 practices (all those surveyed except for the application of wrist tags for identifying patients with fall risks) were validated using the US participants. Overall, the Asian participants reached a consensus on 89% of the safety practices. Comparatively, most Asian participants did not routinely perform three pre-procedural practices in the examination appropriateness topic.
CONCLUSION: Based on the responses from 21 participating Asian institutions, most routinely perform standard practices during radiological examinations except when it comes to examination appropriateness. This study can provide direction for safety policymakers scrutinizing and improving regional standards of care.
ADVANCES IN KNOWLEDGE: This is the first multicenter survey study to elucidate pre-procedural safety practices in radiological examinations in seven Asian regions.
DESIGN/METHODOLOGY/APPROACH: This study applied stratified random sampling to collect data from 15 different hospitals in Peninsular Malaysia. The self-administered survey questionnaires were distributed among 673 hospital staff (i.e. doctors, nurses, pharmacists, and medical laboratory technologists) to obtain 335 useful responses with a 49.47 per cent valid response rate. The research data were analysed based on confirmatory factor analysis and structural equation modelling by using AMOS version 23 software.
FINDINGS: The research findings indicated that LSS and workforce management have a significant impact on quality performance of the Malaysian hospitals, whereas senior management commitment was found to have an insignificant relationship with quality performance. The research findings indicate that senior management commitment has no direct significant relationship with quality performance, but it has an indirect significant relationship with quality performance through the mediating effects of LSS and workforce management.
RESEARCH LIMITATIONS/IMPLICATIONS: This research focussed solely on healthcare organisations in Malaysia and thus the results might not be applicable for other countries as well as other service organisations.
ORIGINALITY/VALUE: This research provides theoretical, methodological, and practical contributions for the LSS approach and the research findings are expected to provide guidelines to enhance the level of quality performance in healthcare organisations in Malaysia as well as other countries.
DESIGN: We conducted a multi-country cross-sectional study.
METHODS: Following a literature review and patient focus groups, an expert panel generated questionnaire items. Following a pilot study, item numbers were reduced. The final questionnaire consisted of three sections: demographics, perceived QoC and one open-ended question. Data was collected from patients (n = 531) discharged from hospitals across seven countries in South East Europe (languages: Turkish, Greek, Portuguese, Romanian, Croatian, Macedonian and Bulgarian). Reliability and validity of the measure were assessed.
RESULTS: Confirmatory factor analysis was used to compare various factor models of patient-perceived QoC. Good model fit was demonstrated for a two-factor model: communication and interpersonal care, and hospital facilities.
CONCLUSIONS: The ORCAB (Improving quality and safety in the hospital: The link between organisational culture, burnout and quality of care) Patient QoC questionnaire has been collaboratively and exhaustively developed between healthcare professionals and patients. It enables patient QoC data to be assessed in the context of the IOM pillars of quality, considering both technical and interpersonal dimensions of care. It represents an important first step in including the patient perspective.