A qualitative formative evaluation of a patient centered patient safety intervention delivered in collaboration with hospital volunteers
KeywordEvaluation; Improvement science; Patient safety; Patient involvement; Volunteers; Patient feedback
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AbstractBackground: Evidence suggests that patients can meaningfully feed back to healthcare providers about the safety of their care. The PRASE (Patient Reporting and Action for a Safe Environment) intervention provides a way to systematically collect feedback from patients to support service improvement. The intervention is being implemented in acute care settings with patient feedback collected by hospital volunteers for the first time. Objective: To undertake a formative evaluation which explores the feasibility and acceptability of the PRASE intervention delivered in collaboration with hospital volunteers from the perspectives of key stakeholders. Design: A qualitative evaluation design was adopted across two acute NHS Trusts in the UK between July 2014 and November 2015. We conducted five focus groups with hospital volunteers (n = 15), voluntary services and patient experience staff (n = 3) and semistructured interviews with ward staff (n = 5). Data were interpreted using framework analysis. Results: All stakeholders were positive about the PRASE intervention as a way to support service improvement, and the benefits of involving volunteers. Volunteers felt adequate training and support would be essential for retention. Staff concentrated on the infrastructure needed for implementation and raised concerns around sustainability. Findings were fed back to the implementation team to support revisions to the intervention moving into the subsequent summative evaluation phase. Conclusion: Although there are concerns regarding sustainability in practice, the PRASE intervention delivered in collaboration with hospital volunteers is a promising approach to collect patient feedback for service improvement.
CitationLouch G, O’Hara J and Mohammed MA (2017) A qualitative formative evaluation of a patient centered patient safety intervention delivered in a collaboration with hospital volunteers. Health Expectations. 20(5): 1143-1153.
Link to publisher’s versionhttp://dx.doi.org/10.1111/hex.12560
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Patient involvement in patient safety: Protocol for developing an intervention using patient reports of organisational safety and patient incident reportingWard, J.K.; McEachan, Rosemary; Lawton, R.; Armitage, Gerry R.; Watt, I.S.; Wright, J.; Yorkshire Quality Safety Research Group (2011)BACKGROUND: Patients have the potential to provide a rich source of information on both organisational aspects of safety and patient safety incidents. This project aims to develop two patient safety interventions to promote organisational learning about safety - a patient measure of organisational safety (PMOS), and a patient incident reporting tool (PIRT) - to help the NHS prevent patient safety incidents by learning more about when and why they occur. METHODS: To develop the PMOS 1) literature will be reviewed to identify similar measures and key contributory factors to error; 2) four patient focus groups will ascertain practicality and feasibility; 3) 25 patient interviews will elicit approximately 60 items across 10 domains; 4) 10 patient and clinician interviews will test acceptability and understanding. Qualitative data will be analysed using thematic content analysis.To develop the PIRT 1) individual and then combined patient and clinician focus groups will provide guidance for the development of three potential reporting tools; 2) nine wards across three hospital directorates will pilot each of the tools for three months. The best performing tool will be identified from the frequency, volume and quality of reports. The validity of both measures will be tested. 300 patients will be asked to complete the PMOS and PIRT during their stay in hospital. A sub-sample (N = 50) will complete the PMOS again one week later. Health professionals in participating wards will also be asked to complete the AHRQ safety culture questionnaire. Case notes for all patients will be reviewed. The psychometric properties of the PMOS will be assessed and a final valid and reliable version developed. Concurrent validity for the PIRT will be assessed by comparing reported incidents with those identified from case note review and the existing staff reporting scheme. In a subsequent study these tools will be used to provide information to wards/units about their priorities for patient safety. A patient panel will provide steering to the research. DISCUSSION: The PMOS and PIRT aim to provide a reliable means of eliciting patient views about patient safety. Both interventions are likely to have relevance and practical utility for all NHS hospital trusts.
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Towards patient-tailored perimetry: automated perimetry can be improved by seeding procedures with patient-specific structural informationDenniss, Jonathan; McKendrick, A.M.; Turpin, A. (2013-04)To explore the performance of patient-specific prior information, for example, from structural imaging, in improving perimetric procedures. Computer simulation was used to determine the error distribution and presentation count for Structure–Zippy Estimation by Sequential Testing (ZEST), a Bayesian procedure with prior distribution centered on a threshold prediction from structure. Structure-ZEST (SZEST) was trialled for single locations with combinations of true and predicted thresholds between 1 to 35 dB, and compared with a standard procedure with variability similar to Swedish Interactive Thresholding Algorithm (SITA) (Full-Threshold, FT). Clinical tests of glaucomatous visual fields (n = 163, median mean deviation −1.8 dB, 90% range +2.1 to −22.6 dB) were also compared between techniques. For single locations, SZEST typically outperformed FT when structural predictions were within ± 9 dB of true sensitivity, depending on response errors. In damaged locations, mean absolute error was 0.5 to 1.8 dB lower, SD of threshold estimates was 1.2 to 1.5 dB lower, and 2 to 4 (29%–41%) fewer presentations were made for SZEST. Gains were smaller across whole visual fields (SZEST, mean absolute error: 0.5 to 1.2 dB lower, threshold estimate SD: 0.3 to 0.8 dB lower, 1 [17%] fewer presentation). The 90% retest limits of SZEST were median 1 to 3 dB narrower and more consistent (interquartile range 2–8 dB narrower) across the dynamic range than those for FT. Seeding Bayesian perimetric procedures with structural measurements can reduce test variability of perimetry in glaucoma, despite imprecise structural predictions of threshold. Structural data can reduce the variability of current perimetric techniques. A strong structure–function relationship is not necessary, however, structure must predict function within ±9 dB for gains to be realized.