It is not sufficient to use patient acuity or severity of illness alone. Other factors such as the nurse's assessment of the intensity of care required and the organizational factors are important components of workload estimates.
ObjectivesTo contribute towards the current policy directive and recommendations outlined in the Francis Report (1) to strengthen relational aspects of hospital care and increase the use of a near real-time feedback (RTF) approach. This article offers insight into the challenges and enablers faced when collecting near real-time feedback of patient experiences with trained volunteers; and using the data to facilitate improvements.MethodsFeedback was collected from staff and volunteers before, during and after a patient experience data collection. This took the form of both formal mixed methods data collections via interviews, surveys and a diary; and informal anecdotal evidence, collected from meetings, workshops, support calls and a networking event.ResultsVarious challenges and enablers associated with the RTF approach were identified. These related to technology, the setting, volunteer engagement and staff engagement. This article presents the key barriers experienced followed by methods suggested and utilised by staff and volunteers in order to counteract the difficulties faced.ConclusionsThe results from this evaluation suggest that a near real-time feedback approach, when used in a hospital setting with trained volunteers, benefits from various support structures or systems to minimise the complications or burden placed on both staff and volunteers.
ImportanceInternational efforts are being made towards a person-centred care (PCC) model, but there are currently no standardised mechanisms to measure and monitor PCC at a healthcare system level. The use of metrics to measure PCC can help to drive the changes needed to improve the quality of healthcare that is person centred.ObjectiveTo develop and validate person-centred care quality indicators (PC-QIs) measuring PCC at a healthcare system level through a synthesis of the evidence and a person-centred consensus approach to ensure the PC-QIs reflect what matters most to people in their care.MethodsExisting indicators were first identified through a scoping review of the literature and an international environmental scan. Focus group discussions with diverse patients and caregivers and interviews with clinicians and experts in quality improvement allowed us to identify gaps in current measurement of PCC and inform the development of new PC-QIs. A set of identified and newly developed PC-QIs were subsequently refined by Delphi consensus process using a modified RAND/UCLA Appropriateness Method. The international consensus panel consisted of patients, family members, community representatives, clinicians, researchers and healthcare quality experts.ResultsFrom an initial 39 unique evidence-based PC-QIs identified and developed, the consensus process yielded 26 final PC-QIs. These included 7 related to structure, 16 related to process, 2 related to outcome and 1 overall global PC-QI.ConclusionsThe final 26 evidence-based and person-informed PC-QIs can be used to measure and evaluate quality incorporating patient perspectives, empowering jurisdictions to monitor healthcare system performance and evaluate policy and practice related to PCC.
Background The Francis Report (of 2013) provided many recommendations to improve compassionate care in NHS organisations, including more widespread use of real-time feedback (RTF) to collect patient experience data. This research directly addressed these recommendations and aimed to provide an evidence-based toolkit to support NHS quality improvements. Objectives To develop and validate a survey of compassionate care for use in near real time on elderly care wards and accident and emergency (A&E) departments. This research also evaluated the effectiveness of the RTF approach for improving relational aspects of care and provides suggestions for how the approach can be used by other hospitals to strengthen compassionate care. Design The research utilised a mixed-methods design, using quantitative, qualitative and participatory research approaches to collect patients’ experiences of relational care and the views of NHS staff in an effort to evaluate the processes and impacts of near real-time feedback (NRTF) data collection. Data sources included a NRTF patient experience survey, weekly volunteer diaries, staff interviews and surveys, workshops and meetings with case study sites. Setting The research was carried out across six case study sites across England, in wards that predominantly serve elderly patients and in A&E departments. Participants The 3928 participants in the patient experience survey were inpatients on elderly care wards, or persons who had sought medical care in A&E. Frontline staff, service leads, senior management and volunteers also took part in surveys (n = 274) and interviews (n = 82) designed to understand the staff perspectives and opinions of collecting patient experience data. Interventions A patient experience survey was implemented using a tablet computer-based methodology, facilitated by trained volunteers. Responses were used alongside feedback from staff to evaluate the use of a NRTF approach as a method for improving patient experiences of relational aspects of care. Main outcome measures The patient experience survey measured relational aspects of care. Another outcome measure was improvements to care as planned, implemented and reported by staff. Results A small but statistically significant improvement (p = 0.044) in relational aspects of care over the course of the study was noted overall. Staff implemented a variety of improvements to enhance communication with patients. Limitations Maintaining volunteer and staff engagement throughout the study was difficult. Few surveys were completed per ward or department each week. This made examining trends in patient experiences over time challenging. Conclusions Near real-time feedback offers an effective approach for monitoring and improving relational aspects of care. Future work Staff frequently expressed a view that volunteers’ interactions with patients while administering the survey were themselves beneficial to patients. Future research should examine the impact of volunteer interactions with patients on their experiences of relational aspects of care. Study registration The project is registered on the Clinical Research Network portfolio under the primary trial identification number 18449. Funding The National Institute for Health Research Health Services and Delivery Research programme.
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