1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      How does staff and patient feedback on hospital quality relate to mortality outcomes? A provider-level national study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This study aimed to use national data to examine the relationship between staff and inpatient survey results (National Health Service (NHS) Friends and Family Test (FFT)) and assess how these align with more traditional measurements of hospital quality as captured by the summary hospital mortality indicator (SHMI). Provider level FFT responses were obtained for 128 English non-specialist acute providers for staff and inpatients between April 2016 and March 2019. Multilevel linear regression models assessed the relationship between staff and patient FFT recommendations, and separately how SHMI related to each of staff and patient FFT recommendations. A total of 1,536 observations were recorded across all providers and financial quarters. Patients were more likely to recommend their provider (95.5%) than staff (76.8%). In multivariable regression, a statistically significant association was observed between staff and patient FFT recommendations. A statistically significant negative relationship was also observed between staff FFT recommendations and SHMI. The association between SHMI and staff FFT recommendations suggests that staff feedback tools may provide a useful analogue for providers in potential need of intervention and improvement in care. For patients meanwhile, qualitative approaches and hospital organisations working in partnership with patients may provide better opportunities for patients to drive improvement.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Patient safety, satisfaction, and quality of hospital care: cross sectional surveys of nurses and patients in 12 countries in Europe and the United States

          Objective To determine whether hospitals with a good organisation of care (such as improved nurse staffing and work environments) can affect patient care and nurse workforce stability in European countries. Design Cross sectional surveys of patients and nurses. Setting Nurses were surveyed in general acute care hospitals (488 in 12 European countries; 617 in the United States); patients were surveyed in 210 European hospitals and 430 US hospitals. Participants 33 659 nurses and 11 318 patients in Europe; 27 509 nurses and more than 120 000 patients in the US. Main outcome measures Nurse outcomes (hospital staffing, work environments, burnout, dissatisfaction, intention to leave job in the next year, patient safety, quality of care), patient outcomes (satisfaction overall and with nursing care, willingness to recommend hospitals). Results The percentage of nurses reporting poor or fair quality of patient care varied substantially by country (from 11% (Ireland) to 47% (Greece)), as did rates for nurses who gave their hospital a poor or failing safety grade (4% (Switzerland) to 18% (Poland)). We found high rates of nurse burnout (10% (Netherlands) to 78% (Greece)), job dissatisfaction (11% (Netherlands) to 56% (Greece)), and intention to leave (14% (US) to 49% (Finland, Greece)). Patients’ high ratings of their hospitals also varied considerably (35% (Spain) to 61% (Finland, Ireland)), as did rates of patients willing to recommend their hospital (53% (Greece) to 78% (Switzerland)). Improved work environments and reduced ratios of patients to nurses were associated with increased care quality and patient satisfaction. In European hospitals, after adjusting for hospital and nurse characteristics, nurses with better work environments were half as likely to report poor or fair care quality (adjusted odds ratio 0.56, 95% confidence interval 0.51 to 0.61) and give their hospitals poor or failing grades on patient safety (0.50, 0.44 to 0.56). Each additional patient per nurse increased the odds of nurses reporting poor or fair quality care (1.11, 1.07 to 1.15) and poor or failing safety grades (1.10, 1.05 to 1.16). Patients in hospitals with better work environments were more likely to rate their hospital highly (1.16, 1.03 to 1.32) and recommend their hospitals (1.20, 1.05 to 1.37), whereas those with higher ratios of patients to nurses were less likely to rate them highly (0.94, 0.91 to 0.97) or recommend them (0.95, 0.91 to 0.98). Results were similar in the US. Nurses and patients agreed on which hospitals provided good care and could be recommended. Conclusions Deficits in hospital care quality were common in all countries. Improvement of hospital work environments might be a relatively low cost strategy to improve safety and quality in hospital care and to increase patient satisfaction.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Collecting data on patient experience is not enough: they must be used to improve care.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Predictors of patient satisfaction with hospital health care

              Background We used a validated inpatient satisfaction questionnaire to evaluate the health care received by patients admitted to several hospitals. This questionnaire was factored into distinct domains, creating a score for each to assist in the analysis. We evaluated possible predictors of patient satisfaction in relation to socio-demographic variables, history of admission, and survey logistics. Methods Cross-sectional study of patients discharged from four acute care general hospitals. Random sample of 650 discharged patients from the medical and surgical wards of each hospital during February and March 2002. A total of 1,910 patients responded to the questionnaire (73.5%). Patient satisfaction was measured by a validated questionnaire with six domains: information, human care, comfort, visiting, intimacy, and cleanliness. Each domain was scored from 0 to 100, with higher scores indicating higher levels of patient satisfaction. Results In the univariate analysis, age was related to all domains except visiting; gender to comfort, visiting, and intimacy; level of education to comfort and cleanliness; marital status to information, human care, intimacy, and cleanliness; length of hospital stay to visiting and cleanliness, and previous admissions to human care, comfort, and cleanliness. The timing of the response to the mailing and who completed the questionnaire were related to all variables except visiting and cleanliness. Multivariate analysis confirmed in most cases the previous findings and added additional correlations for level of education (visiting and intimacy) and marital status (comfort and visiting). Conclusion These results confirm the varying importance of some socio-demographic variables and length of stay, previous admission, the timing of response to the questionnaire, and who completed the questionnaire on some aspects of patient satisfaction after hospitalization. All these variables should be considered when evaluating patient satisfaction.
                Bookmark

                Author and article information

                Journal
                Health Serv Manage Res
                Health Serv Manage Res
                sphsm
                HSM
                Health Services Management Research
                SAGE Publications (Sage UK: London, England )
                0951-4848
                1758-1044
                27 June 2023
                May 2024
                : 37
                : 2
                : 115-122
                Affiliations
                [1 ]Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, South Yorkshire, Sheffield S5 7AT, UK
                [2 ]Leeds Institute for Data Analytics, Ringgold 4468, universityUniversity of Leeds; , Leeds, UK
                Author notes
                [*]Antonio Michael Borrelli, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, South Yorkshire, Sheffield S5 7AT, UK. Email: antonio.borrelli@ 123456outlook.com
                Author information
                https://orcid.org/0000-0001-8200-175X
                Article
                10.1177_09514848231179182
                10.1177/09514848231179182
                11041065
                37368436
                2e97b3de-3ebb-4e21-b1a2-181fbbc09a7b
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Categories
                Primary Research
                Custom metadata
                ts10

                staff views,patient satisfaction,mortality,quality improvement

                Comments

                Comment on this article