scholarly journals 'Team capital’ in quality improvement teams: findings from an ethnographic study of front-line quality improvement in the NHS

2020 ◽  
Vol 9 (2) ◽  
pp. e000948
Author(s):  
Catherine Montgomery ◽  
Stephen Parkin ◽  
Alison Chisholm ◽  
Louise Locock

BackgroundTeamwork is important in the design and delivery of initiatives in complex healthcare systems but the specifics of quality improvement (QI) teams are not well studied.ObjectiveTo explain the functioning of front-line healthcare teams working on patient-centred QI using Bourdieu’s sociological construct of capital.MethodsOne medical ward from each of six NHS Trusts in England participated in the study, purposively selected for a range of performance levels on patient experience metrics. Three ethnographers conducted focused ethnography for 1 year, using interviews and observations to explore the organisation, management and delivery of patient-centred QI projects by the six front-line teams. Data were analysed using Bourdieu’s typology of the four forms of capital: economic, social, symbolic and cultural.ResultsWhile all teams implemented some QI activities to improve patient experience, progress was greater where teams included staff from a broad range of disciplines and levels of seniority. Teams containing both clinical and non-clinical staff, including staff on lower grades such as healthcare assistants and clerks, engaged more confidently with patient experience data than unidisciplinary teams, and implemented a more ambitious set of projects. We explain these findings in terms of ‘team capital’.ConclusionTeams that chose to restrict membership to particular disciplines appeared to limit their capital, whereas more varied teams were able to draw on multiple resources, skills, networks and alliances to overcome challenges. Staff of varying levels of seniority also shared and valued a broader range of insights into patient experience, including informal knowledge from daily practice. The construct of ‘team capital’ has the potential to enrich understanding of the mechanism of teamwork in QI work.

2016 ◽  
Vol 13 (12) ◽  
pp. 1550-1554 ◽  
Author(s):  
Jeff D. Jensen ◽  
Lisa Allen ◽  
Robert Blasko ◽  
Paul Nagy

2019 ◽  
Vol 7 (34) ◽  
pp. 1-112 ◽  
Author(s):  
Sara Donetto ◽  
Amit Desai ◽  
Giulia Zoccatelli ◽  
Glenn Robert ◽  
Davina Allen ◽  
...  

Background Although NHS organisations have access to a wealth of patient experience data in various formats (e.g. surveys, complaints and compliments, patient stories and online feedback), not enough attention has been paid to understanding how patient experience data translate into improvements in the quality of care. Objectives The main aim was to explore and enhance the organisational strategies and practices through which patient experience data are collected, interpreted and translated into quality improvements in acute NHS hospital trusts in England. The secondary aim was to understand and optimise the involvement and responsibilities of nurses in senior managerial and front-line roles with respect to such data. Design The study comprised two phases. Phase 1 consisted of an actor–network theory-informed ethnographic study of the ‘journeys’ of patient experience data in five acute NHS hospital trusts, particularly in cancer and dementia services. Phase 2 comprised a series of Joint Interpretive Forums (one cross-site and one at each trust) bringing together different stakeholders (e.g. members of staff, national policy-makers, patient/carer representatives) to distil generalisable principles to optimise the use of patient experience data. Setting Five purposively sampled acute NHS hospital trusts in England. Results The analysis points to five key themes: (1) each type of data takes multiple forms and can generate improvements in care at different stages in its complex ‘journey’ through an organisation; (2) where patient experience data participate in interactions (with human and/or non-human actors) characterised by the qualities of autonomy (to act/trigger action), authority (to ensure that action is seen as legitimate) and contextualisation (to act meaningfully in a given situation), quality improvements can take place in response to the data; (3) nurses largely have ultimate responsibility for the way in which data are collected, interpreted and used to improve care, but other professionals also have important roles that could be explored further; (4) formalised quality improvement can confer authority to patient experience data work, but the data also lead to action for improvement in ways that are not formally identified as quality improvement; (5) sense-making exercises with study participants can support organisational learning. Limitations Patient experience data practices at trusts performing ‘worse than others’ on the Care Quality Commission scores were not examined. Although attention was paid to the views of patients and carers, the study focused largely on organisational processes and practices. Finally, the processes and practices around other types of data were not examined, such as patient safety and clinical outcomes data, or how these interact with patient experience data. Conclusions NHS organisations may find it useful to identify the local roles and processes that bring about autonomy, authority and contextualisation in patient experience data work. The composition and expertise of patient experience teams could better complement the largely invisible nursing work that currently accounts for a large part of the translation of data into care improvements. Future work To date, future work has not been planned. Study registration NIHR 188882. Funding The National Institute for Health Research Health Services and Delivery Research programme.


2017 ◽  
Vol 27 (5) ◽  
pp. 110-116
Author(s):  
G Byrn

A quality improvement initiative undertaken by the paediatric recovery team at the Leeds Children's Hospital sought to improve patient experience and efficiency by implementing an electronic pager system to contact parents/carers following their child's surgery.


2021 ◽  
Vol 8 ◽  
pp. 237437352110393
Author(s):  
Susan Y. Lee

Reports have shown that ambulatory primary care practices that include patients and families in their quality improvement efforts have many benefits including better relationships and interactions with patients. In this paper, we describe our experience of involving our patients, family, and staff who are members of or Patient and Family Advisory Council (PFAC) in our quality improvement efforts related to patient experience. For a year, members of the PFAC suggested creative implementations to our office policies and workflow to improve satisfaction scores on the Clinician and Group Consumer Assessment of Health care Providers and Systems survey in key areas: information about delays, wait times in clinic, and convenience of appointments.


2020 ◽  
Vol 8 (13) ◽  
pp. 1-170 ◽  
Author(s):  
Louise Locock ◽  
Chris Graham ◽  
Jenny King ◽  
Stephen Parkin ◽  
Alison Chisholm ◽  
...  

Background and aim The NHS collects a large number of data on patient experience, but there are concerns that it does not use this information to improve care. This study explored whether or not and how front-line staff use patient experience data for service improvement. Methods Phase 1 – secondary analysis of existing national survey data, and a new survey of NHS trust patient experience leads. Phase 2 – case studies in six medical wards using ethnographic observations and interviews. A baseline and a follow-up patient experience survey were conducted on each ward, supplemented by in-depth interviews. Following an initial learning community to discuss approaches to learning from and improving patient experience, teams developed and implemented their own interventions. Emerging findings from the ethnographic research were shared formatively. Phase 3 – dissemination, including an online guide for NHS staff. Key findings Phase 1 – an analysis of staff and inpatient survey results for all 153 acute trusts in England was undertaken, and 57 completed surveys were obtained from patient experience leads. The most commonly cited barrier to using patient experience data was a lack of staff time to examine the data (75%), followed by cost (35%), lack of staff interest/support (21%) and too many data (21%). Trusts were grouped in a matrix of high, medium and low performance across several indices to inform case study selection. Phase 2 – in every site, staff undertook quality improvement projects using a range of data sources. The number and scale of these varied, as did the extent to which they drew directly on patient experience data, and the extent of involvement of patients. Before-and-after surveys of patient experience showed little statistically significant change. Making sense of patient experience ‘data’ Staff were engaged in a process of sense-making from a range of formal and informal sources of intelligence. Survey data remain the most commonly recognised and used form of data. ‘Soft’ intelligence, such as patient stories, informal comments and daily ward experiences of staff, patients and family, also fed into staff’s improvement plans, but they and the wider organisation may not recognise these as ‘data’. Staff may lack confidence in using them for improvement. Staff could not always point to a specific source of patient experience ‘data’ that led to a particular project, and sometimes reported acting on what they felt they already knew needed changing. Staff experience as a route to improving patient experience Some sites focused on staff motivation and experience on the assumption that this would improve patient experience through indirect cultural and attitudinal change, and by making staff feel empowered and supported. Staff participants identified several potential interlinked mechanisms: (1) motivated staff provide better care, (2) staff who feel taken seriously are more likely to be motivated, (3) involvement in quality improvement is itself motivating and (4) improving patient experience can directly improve staff experience. ‘Team-based capital’ in NHS settings We propose ‘team-based capital’ in NHS settings as a key mechanism between the contexts in our case studies and observed outcomes. ‘Capital’ is the extent to which staff command varied practical, organisational and social resources that enable them to set agendas, drive process and implement change. These include not just material or economic resources, but also status, time, space, relational networks and influence. Teams involving a range of clinical and non-clinical staff from multiple disciplines and levels of seniority could assemble a greater range of capital; progress was generally greater when the team included individuals from the patient experience office. Phase 3 – an online guide for NHS staff was produced in collaboration with The Point of Care Foundation. Limitations This was an ethnographic study of how and why NHS front-line staff do or do not use patient experience data for quality improvement. It was not designed to demonstrate whether particular types of patient experience data or quality improvement approaches are more effective than others. Future research Developing and testing interventions focused specifically on staff but with patient experience as the outcome, with a health economics component. Studies focusing on the effect of team composition and diversity on the impact and scope of patient-centred quality improvement. Research into using unstructured feedback and soft intelligence. Funding The National Institute for Health Research Health Services and Delivery Research programme.


2021 ◽  
pp. 193229682110075
Author(s):  
Rebecca A. Harvey Towers ◽  
Xiaohe Zhang ◽  
Rasoul Yousefi ◽  
Ghazaleh Esmaili ◽  
Liang Wang ◽  
...  

The algorithm for the Dexcom G6 CGM System was enhanced to retain accuracy while reducing the frequency and duration of sensor error. The new algorithm was evaluated by post-processing raw signals collected from G6 pivotal trials (NCT02880267) and by assessing the difference in data availability after a limited, real-world launch. Accuracy was comparable with the new algorithm—the overall %20/20 was 91.7% before and 91.8% after the algorithm modification; MARD was unchanged. The mean data gap due to sensor error nearly halved and total time spent in sensor error decreased by 59%. A limited field launch showed similar results, with a 43% decrease in total time spent in sensor error. Increased data availability may improve patient experience and CGM data integration into insulin delivery systems.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045520
Author(s):  
Marie-Pierre Codsi ◽  
Philippe Karazivan ◽  
Ghislaine Rouly ◽  
Marie Leclaire ◽  
Antoine Boivin

ObjectivesTo understand identity tensions experienced by health professionals when patient partners join a quality improvement committee.DesignQualitative ethnographic study based on participatory observation.SettingAn interdisciplinary quality improvement committee of a Canadian urban academic family medicine clinic with little previous experience in patient partnership.ParticipantsTwo patient partners, seven health professionals (two family physicians, two residents, one pharmacist, one nurse clinician and one nurse practitioner) and three members of the administrative team.Data collectionData collection included compiled participatory observations, logbook notes and semi-structured interviews, collected between the summer of 2017 to the summer of 2019.Data analysisGhadiri’s identity threats theoretical framework was used to analyse qualitative material and to develop conceptualising categories, using QDA Miner software (V.5.0).ResultsAll professionals with a clinical care role and patient partners (n=9) accepted to participate in the ethnographic study and semi-structured interviews (RR=100%). Transforming the ‘caregiver–patient’ relationship into a ‘colleague–colleague’ relationship generated identity upheavals among professionals. Identity tensions included competing ideals of the ‘good professional’, challenges to the impermeability of the patient and professional categories, the interweaving of symbols associated with one or the other of these identities, and the inner balance between the roles of caregiver and colleague.ConclusionThis research provides a new perspective on understanding how working in partnership with patients transform health professionals’ identity. When they are called to work with patients outside of a simple therapeutic relationship, health professionals may feel tensions between their identity as caregivers and their identity as colleague. This allows us to better understand some underlying tensions elicited by the arrival of different patient engagement initiatives (eg, professionals’ resistance to working with patients, patients’ status and remuneration, professionals’ concerns toward patient ‘representativeness’). Partnership with patients imply the construction of a new relational framework, flexible and dynamic, that takes into account this coexistence of identities.


2021 ◽  
Vol 8 ◽  
pp. 237437352199862
Author(s):  
Stephanie Bayer ◽  
Paul Kuzmickas ◽  
Adrienne Boissy ◽  
Susannah L. Rose ◽  
Mary Beth Mercer

The Ombudsman Office at a large academic medical center created a standardized approach to manage and measure unsolicited patient complaints, including methods to identify longitudinal improvements, accounting for volume variances, as well as incident severity to prioritize response needs. Data on patient complaints and grievances are collected and categorized by type of issue, unit location, severity, and individual employee involved. In addition to granular data, results are collated into meaningful monthly leadership reports to identify opportunities for improvement. An overall benchmark for improvement is also applied based on the number of complaints and grievances received for every 1000 patient encounters. Results are utilized in conjunction with satisfaction survey results to drive patient experience strategies. By applying benchmarks to patient grievances, targets can be created based on historical performance. The utilization of grievance and complaint benchmarking helps prioritize resources to improve patient experiences.


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