INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE最新文献

Purpose: Hospital accreditation has been adopted internationally as a way and solution for healthcare quality improvement in hospitals. The purpose of this study was to review and knowledge mapping of bibliographic data about "Hospital Accreditation" and assess the current quantitative trends.

Design/methodology/approach: Scientometric methods and knowledge visualization using the coword analysis techniques conducted in three steps based on the data related to the field of hospital accreditation from 1975 to 2018 obtained from the MEDLINE database. Bibliographic data for titles, abstracts and keywords articles were saved in CSV format and MEDLINE templates by applying filters. Data extracted were exported into an Excel spreadsheet and were preprocessed. The authors applied the text mining and visualization using VOSviewer software.

Findings: Hospital accreditation studies have been increased rapidly over the past 30 years. 6,661 documents in the field of hospital accreditation had been published from 1975 to 2018. Hospitals or organizations active in the field of hospital accreditation were in the United States, Italy and Canada. The 10 most productive authors identified in the area of hospital accreditation with a higher influence were identified. "The United States", "accreditation", "Joint commission on accreditation" and "quality assurance, healthcare" had, respectively, the highest frequency. The cluster analysis identified and categorized them into four major clusters. Hospital accreditation field had a close relationship with the quality improvement, patient safety, risk and standards.

Originality/value: Hospital accreditation had focused on the scopes of implementation of accreditation programs, adherence to JCI standards, and focus on safety and quality improvement. Future studies are recommended to be conducted on design interventions and paying attention to all dimensions of hospital accreditation.

Purpose: Use of technology for quality healthcare services has developed into a new field known as "e-Healthcare services." Healthcare providers often judge their quality of services with consumer satisfaction. With e-Healthcare services, consumer satisfaction is influenced by the quality of healthcare services provided and the demographic characteristics. The purpose of the present case study is to recognize the important predictors of quality, which are significant for consumer satisfaction with e-Healthcare services by using Zineldin's 5Qs model. It also aims to find the strength of association among the predictors of consumer satisfaction and the demographic characteristics of the respondents.

Design/methodology/approach: A questionnaire-based study was conducted at a public (PGIMER, Chandigarh) and a private hospital (Fortis Hospital, Mohali) of Punjab, India, from February 2018 to March 2019. The structured, closed-ended questionnaire, to be marked on a 1-5 point Likert scale, was adapted from Zineldin's 5Qs model and was distributed to the respondents sitting in the waiting halls of the selected hospitals. The respondents comprised of both the patients and their attendants who were aware of e-Healthcare services and were using them.

Findings: The analysis identified quality of interaction, quality of hospital atmosphere and quality of object to be the key predictors of consumer satisfaction with e-Healthcare services. The results reveal a strong association between different demographic characteristics and overall consumer satisfaction with e-Healthcare services.

Practical implications: The results suggest that improvements in the quality of interaction, quality of hospital atmosphere and quality of object may result in higher consumer satisfaction with e-Healthcare services. Working on the identified dimensions of quality will help the e-Healthcare providers in identifying functional problems of e-Healthcare services and developing improvement strategies, which will also result in better health and quality outcomes. The results of this study will help the e-Healthcare providers in better segmentation of e-Healthcare consumers based on their demographic characteristics and in developing better marketing strategies.

Originality/value: This paper focuses on the quality of e-Healthcare services only and attempts to identify the quality dimensions, which leads to the satisfaction of e-Healthcare consumers. The identified quality dimensions will help in designing better e-Healthcare services and framing policies. It also highlights the association of demographic characteristics with important quality dimensions.

Purpose: This paper aims to explore if health professionals share understanding of teamwork that supports collaborative ward rounds.

Design/methodology/approach: A purpose-designed survey was conducted in two acute medical and two rehabilitation wards from a metropolitan teaching hospital. Medical officers, nurses and allied health professionals participated. To understand characteristics that support collaborative ward rounds, questions developed from literature and industry experience asked: what are the enablers and challenges to teamwork; and what are clinicians' experiences of positive teamwork? Descriptive and thematic analyses were applied to the dimensions of effective teamwork as a framework for deductive coding.

Findings: Seventy-seven clinicians participated (93% response rate). Findings aligned with dimensions of teamwork framework. There was no meaningful difference between clinicians or specialty. Enablers to teamwork were: effective communication, shared understanding of patient goals, and colleague's roles. Challenges were ineffective communication, individual personalities, lack of understanding about roles and responsibilities, and organisational structure. Additional challenges included: time; uncoordinated treatment planning; and leadership. Positive teamwork was influenced by leadership and team dynamics.

Practical implications: Ward rounds benefit from a foundation of collaborative teamwork. Different dimensions of teamwork present during ward rounds support clinicians' shared understanding of roles, expectations and communication.

Originality/value: Rounds such as structured rounding, aim to improve teamwork. Inverting this concept to first develop effective collaboration will support team adaptability and resilience. This enables teams to transition between the multiple rounding processes undertaken in a single ward. The emphasis becomes high-quality teamwork rather than a single rounding process.

Purpose: To develop and validate the Expanded Mindful Eating Scale (EMES), an expanded mindful eating model created for the promotion of health and sustainability.

Design/methodology/approach: A cross-sectional study using self-administered questionnaire surveys on Ochanomizu Health Study (OHS) was conducted. The survey was provided to 1,388 female university students in Tokyo, Japan. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and a partial correlation analysis were used to confirm construct and criterion validity. Internal consistency of the EMES was confirmed to calculate Cronbach's alpha.

Findings: The response rate was 38.7 % (n = 537). Mean BMI was 20.21 ± 2.12, and 18.8% of them were classified as "lean" (BMI < 18.5). The authors listed 25 items and obtained a final factor structure of five factors and 20 items, as a result of EFA. Through CFA, the authors obtained the following fit indices for a final model: GFI = 0.914, AGFI = 0.890, CFI = 0.870 and RMSEA = 0.061. The total EMES score was significantly correlated with BMI, mindfulness, body dissatisfaction, drive for thinness and life satisfaction (r = -0.138, -0.315, -0.339, -0.281 and 0.149, p < 0.01, respectively). Cronbach's alpha for all items in this scale was 0.687.

Practical implications: The authors suggest the possibility that practitioners and researchers of mindful eating that includes this new concept can use authors' novel scale as an effective measurement tool.

Originality/value: The EMES, which can multidimensionally measure the concept of the expanded model of mindful eating was first developed in this study.

Purpose: For years, traditional techniques have been used for diabetes treatment. There are two major types of insulin: insulin analogs and regular insulin. Insulin analogs are similar to regular insulin and lead to changes in pharmacokinetic and pharmacodynamic properties. The purpose of the present research was to determine the cost-effectiveness of insulin analogs versus regular insulin for diabetes control in Yazd Diabetes Center in 2017.

Design/methodology/approach: In this descriptive-analytical research, the cost-effectiveness index was used to compare insulin analogs and regular insulin (pen/vial) for treatment of diabetes. Data were analyzed in the TreeAge Software and a decision tree was constructed. A 10% discount rate was used for ICER sensitivity analysis. Cost-effectiveness was examined from a provider's perspective.

Findings: QALY was calculated to be 0.2 for diabetic patients using insulin analogs and 0.05 for those using regular insulin. The average cost was $3.228 for analog users and $1.826 for regular insulin users. An ICER of $0.093506/QALY was obtained. The present findings suggest that insulin analogs are more cost-effective than regular insulin.

Originality/value: This study was conducted using a cost-effectiveness analysis to evaluate insulin analogs versus regular insulin in controlling diabetes. The results of study are helpful to the government to allocate more resources to apply the cost-effective method of the treatment and to protect patients with diabetes from the high cost of treatment.

Purpose: The purpose of this paper is to examine whether patient readmission rates are associated with patient satisfaction and Medicare reimbursement rates in the US hospitals.

Design/methodology/approach: The Hospital Compare database was obtained from the Centers for Medicare and Medicaid Services (CMS) in the US. A total of 2,711 acute care hospitals were analyzed for this present study. The data included patient satisfaction surveys, hospital 30-days readmission ratios for heart failure and pneumonia patients and related payments. Exploratory factor analysis was applied in the first stage to operationalize constructs for scale development. Partial least squares (PLS) modeling analysis via Smart-PLS was utilized for testing the hypotheses.

Findings: Results indicated that data provided from the Hospital Compare database for the acute care hospitals accurately reflect quality outcomes. Nevertheless, the Medicare Hospital Readmissions Reduction Program (HRRP) did not penalize the hospitals when patients reported lower satisfaction via the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores.

Originality/value: The findings suggest that a high-readmission rate is not associated with lower payment. Such results appear to conflict with the goals of value-based purchasing programs, which seek to penalize hospitals financially for higher readmission rates.

Purpose: The purpose of this study was to determine the satisfaction of women who underwent normal delivery and cesarean section (or C-section) with maternal care in five state-run hospitals in Northwestern Turkey.

Design/methodology/approach: This was a cross-sectional study. The sample consisted of 580 women who underwent normal delivery (ND) and 392 who had a C-section (CS). Data were collected using two maternal satisfaction questionnaires, which participants completed right before they were discharged.

Findings: More than half of ND (61.7%) and CS (56.9%) participants were satisfied with maternal care. ND participants who had received antenatal training were more satisfied with maternal care than CS participants who had not received antenatal training. Higher income was a significant predictor for reduced satisfaction with maternal care among CS participants (p = 0.031).

Practical implications: Hospital administrators and decision-makers should meet women's expectations, provide them with comfort, encourage them for skin-to-skin contact and respect their right to privacy in order to increase their satisfaction with maternal care. Pregnant women should also be encouraged to receive antenatal training offered by hospitals before delivery.

Originality/value: The evidence-based results of the study will help hospital administrators to improve healthcare quality and focus on increasing women's satisfaction with maternal care.

Purpose: The purpose of this project was to determine the validity and reliability of the Healthcare Quality Perception (HQP) questionnaire tool designed to capture employees' perceptions of healthcare quality in Indian hospitals.

Design/methodology/approach: Two hundred employees in private and public sector hospitals in India were randomly selected and given the HQP tool. It consisted of 38 Likert-scale items and six different subscales: (1) Planning and Documentation (n = 7); (2) Employee Participation in Quality Management Activities (n = 5); (3) Existence of Policies/Procedures/Guidelines (n = 5); (4) Quality and Patient Safety Management (n = 9); (5) Perceived Effect of Quality Improvement (n = 7) and (6) Training and Development Opportunities (n = 5). 156 completed questionnaires were received, demonstrating a 78% response rate. HQP tool subjected to statistical analysis to measure its reliability and validity. A p-value of less than 0.05 was considered as "significant."

Findings: Factor analysis pulled out six factors that conjointly demonstrated 66.4 % of the variance in healthcare professionals' (HCPs') perception of healthcare service quality in selected Indian hospitals. The overall Cronbach's alpha coefficient was measured at 0.959 for internal consistency reliability. This study demonstrates that the identified six critical factors are important determinants influencing HCPs' perception of the quality of healthcare services in private and public sector hospitals in India.

Originality/value: This study provides evidence for the reliability and validity of the newly developed HCP Scale for the assessment of employee perception of the quality of services offered in selected hospitals in India, with potential applications in other contexts.

Purpose: A method to engage salient organisational stakeholders in identifying and ranking measures of healthcare improvement programs is described. The method is illustrated using Executive WalkRounds (EWRs) in a multi-site Australian Health District.

Design/methodology/approach: Subject matter experts (SMEs) conducted document analysis, identified potential EWRs measures, created driver diagrams and then eliminated weak measures. Next, a panel of executives skilled in EWRs ranked and ratified the potential measures using a modified Delphi technique.

Findings: EWRs measurement selection demonstrated the feasibility of the method. Of the total time to complete the method 79% was contributed by SMEs, 14% by administration personnel and 7% by executives. Document analysis revealed three main EWRs aims. Ten of 28 potential measures were eliminated by the SME review. After repeated Delphi rounds the executive panel achieved consensus (75% cut-off) on seven measures. One outcome, one process and one implementation fidelity metric were selected to measure and monitor the impact of EWRs in the health district.

Practical implications: Perceptions of weak relationships between measures and intended improvements can lead to practitioner scepticism. This work offers a structured method to combine the technical expertise of SMEs with the practical knowledge of healthcare staff in selecting improvement measures.

Originality/value: This research describes and demonstrates a novel method to systematically leverage formal and practical types of expertise to select measures that are strongly linked to local quality improvement goals. The method can be applied in diverse healthcare settings.