scholarly journals Which human factors design issues are influencing system performance in out-of-hours community palliative care? Integration of realist approaches with an established systems analysis framework to develop mid-range programme theory

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e048045
Author(s):  
Sarah Yardley ◽  
Huw Williams ◽  
Paul Bowie ◽  
Adrian Edwards ◽  
Simon Noble ◽  
...  
Keyword(s):  
Palliative Care ◽  
Quality Improvement ◽  
Human Factors ◽  
Informal Learning ◽  
System Performance ◽  
Learning System ◽  
Design Issues ◽  
Programme Theory ◽  
Out Of Hours ◽  
Emotional Labour

ObjectiveTo develop mid-range programme theory from perceptions and experiences of out-of-hours community palliative care, accounting for human factors design issues that might be influencing system performance for achieving desirable outcomes through quality improvement.SettingCommunity providers and users of out-of-hours palliative care.Participants17 stakeholders participated in a workshop event.DesignIn the UK, around 30% of people receiving palliative care have contact with out-of-hours services. Interactions between emotions, cognition, tasks, technology and behaviours must be considered to improve safety. After sharing experiences, participants were presented with analyses of 1072 National Reporting and Learning System incident reports. Discussion was orientated to consider priorities for change. Discussions were audio-recorded and transcribed verbatim by the study team. Event artefacts, for example, sticky notes, flip chart lists and participant notes, were retained for analysis. Two researchers independently identified context–mechanism–outcome configurations using realist approaches before studying the inter-relation of configurations to build a mid-range theory. This was critically appraised using an established human factors framework called Systems Engineering Initiative for Patient Safety (SEIPS).ResultsComplex interacting configurations explain relational human-mediated outcomes where cycles of thought and behaviour are refined and replicated according to prior experiences. Five such configurations were identified: (1) prioritisation; (2) emotional labour; (3) complicated/complex systems; (4a) system inadequacies and (4b) differential attention and weighing of risks by organisations; (5) learning. Underpinning all these configurations was a sixth: (6a) trust and access to expertise; and (6b) isolation at night. By developing a mid-range programme theory, we have created a framework with international relevance for guiding quality improvement work in similar modern health systems.ConclusionsMeta-cognition, emotional intelligence, and informal learning will either overcome system limitations or overwhelm system safeguards. Integration of human-centred co-design principles and informal learning theory into quality improvement may improve results.

scholarly journals Quality improvement priorities for safer out-of-hours palliative care: Lessons from a mixed-methods analysis of a national incident-reporting database

2018 ◽  
Vol 33 (3) ◽  
pp. 346-356 ◽  
Author(s):  
Huw Williams ◽  
Sir Liam Donaldson ◽  
Simon Noble ◽  
Peter Hibbert ◽  
Rhiannon Watson ◽  
...  
Keyword(s):  
Palliative Care ◽  
Quality Improvement ◽  
Mixed Methods ◽  
Incident Reporting ◽  
Out Of Hours

The Institute for Healthcare Improvement–NeuroPoint Alliance collaboration to decrease length of stay and readmission after lumbar spine fusion: using national registries to design quality improvement protocols

2020 ◽  
Vol 33 (6) ◽  
pp. 812-821
Author(s):  
Scott L. Zuckerman ◽  
Clinton J. Devin ◽  
Vincent Rossi ◽  
Silky Chotai ◽  
E. Hunter Dyer ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Length Of Stay ◽  
Discharge Planning ◽  
Lumbar Fusion ◽  
Nonparametric Tests ◽  
Learning System ◽  
Design Quality ◽  
Implementation Phase ◽  
Healthcare Improvement ◽  
The Impact

OBJECTIVENational databases collect large amounts of clinical information, yet application of these data can be challenging. The authors present the NeuroPoint Alliance and Institute for Healthcare Improvement (NPA-IHI) program as a novel attempt to create a quality improvement (QI) tool informed through registry data to improve the quality of care delivered. Reducing the length of stay (LOS) and readmission after elective lumbar fusion was chosen as the pilot module.METHODSThe NPA-IHI program prospectively enrolled patients undergoing elective 1- to 3-level lumbar fusions across 8 institutions. A three-pronged approach was taken that included the following phases: 1) Research Phase, 2) Development Phase, and 3) Implementation Phase. Primary outcomes were LOS and readmission. From January to June 2017, a learning system was created utilizing monthly conference calls, weekly data submission, and continuous refinement of the proposed QI tool. Nonparametric tests were used to assess the impact of the QI intervention.RESULTSThe novel QI tool included the following three areas of intervention: 1) preoperative discharge assessment (location, date, and instructions), 2) inpatient changes (LOS rounding checklist, daily huddle, and pain assessments), and 3) postdischarge calls (pain, primary care follow-up, and satisfaction). A total of 209 patients were enrolled, and the most common procedure was a posterior laminectomy/fusion (60.2%). Seven patients (3.3%) were readmitted during the study period. Preoperative discharge planning was completed for 129 patients (61.7%). A shorter median LOS was seen in those with a known preoperative discharge date (67 vs 80 hours, p = 0.018) and clear discharge instructions (71 vs 81 hours, p = 0.030). Patients with a known preoperative discharge plan also reported significantly increased satisfaction (8.0 vs 7.0, p = 0.028), and patients with increased discharge readiness (scale 0–10) also reported higher satisfaction (r = 0.474, p < 0.001). Those receiving postdischarge calls (76%) had a significantly shorter LOS than those without postdischarge calls (75 vs 99 hours, p = 0.020), although no significant relationship was seen between postdischarge calls and readmission (p = 0.342).CONCLUSIONSThe NPA-IHI program showed that preoperative discharge planning and postdischarge calls have the potential to reduce LOS and improve satisfaction after elective lumbar fusion. It is our hope that neurosurgical providers can recognize how registries can be used to both develop and implement a QI tool and appreciate the importance of QI implementation as a separate process from data collection/analysis.

Human Factors and Quality Improvement in the Emergency Department

2020 ◽  
Vol 16 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Osnat Bashkin ◽  
Sigalit Caspi ◽  
Assaf Swissa ◽  
Amitai Amedi ◽  
Shai Zornano ◽  
...  
Keyword(s):  
Emergency Department ◽  
Quality Improvement ◽  
Human Factors

Using Quality Improvement to Enhance Research Readiness in Palliative Care

2006 ◽  
Vol 28 (4) ◽  
pp. 22-28 ◽  
Author(s):  
Kelli I. Stajduhar ◽  
Darcee Bidgood ◽  
Leah Norgrove ◽  
Diane Allan ◽  
Shelly Waskiewich
Keyword(s):  
Palliative Care ◽  
Quality Improvement

scholarly journals How, why and under what circumstances does a quality improvement collaborative build knowledge and skills in clinicians working with people with dementia? A realist informed process evaluation

2021 ◽  
Vol 10 (2) ◽  
pp. e001147
Author(s):  
Lenore de la Perrelle ◽  
Monica Cations ◽  
Gaery Barbery ◽  
Gorjana Radisic ◽  
Billingsley Kaambwa ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Reflective Practice ◽  
Process Evaluation ◽  
Aged Care ◽  
Dementia Care ◽  
Quality Improvement Collaborative ◽  
Programme Theory ◽  
Post Intervention ◽  
Knowledge And Skills ◽  
People With Dementia

In increasingly constrained health and aged care services, strategies are needed to improve quality and translate evidence into practice. In dementia care, recent failures in quality and safety have led the WHO to prioritise the translation of known evidence into practice. While quality improvement collaboratives have been widely used in healthcare, there are few examples in dementia care.We describe a recent quality improvement collaborative to improve dementia care across Australia and assess the implementation outcomes of acceptability and feasibility of this strategy to translate known evidence into practice. A realist-informed process evaluation was used to analyse how, why and under what circumstances a quality improvement collaborative built knowledge and skills in clinicians working in dementia care.This realist-informed process evaluation developed, tested and refined the programme theory of a quality improvement collaborative. Data were collected pre-intervention and post-intervention using surveys and interviews with participants (n=28). A combined inductive and deductive data analysis process integrated three frameworks to examine the context and mechanisms of knowledge and skill building in participant clinicians.A refined program theory showed how and why clinicians built knowledge and skills in quality improvement in dementia care. Six mechanisms were identified: motivation, accountability, identity, collective learning, credibility and reflective practice. These mechanisms, in combination, operated to overcome constraints, role boundaries and pessimism about improved practice in dementia care.A quality improvement collaborative designed for clinicians in different contexts and roles was acceptable and feasible in building knowledge, skills and confidence of clinicians to improve dementia care. Supportive reflective practice and a credible, flexible and collaborative process optimised quality improvement knowledge and skills in clinicians working with people with dementia.Trial registration numberACTRN12618000268246.

Integrating Palliative Care Into a Neurosurgical Intensive Care Unit (NS-ICU): A Quality Improvement (QI) Project

2021 ◽  
pp. 104990912110456
Author(s):  
Choo Hwee Poi ◽  
Mervyn Yong Hwang Koh ◽  
Tessa Li-Yen Koh ◽  
Yu-Lin Wong ◽  
Wendy Yu Mei Ong ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Palliative Care ◽  
Intensive Care ◽  
Quality Improvement ◽  
Care Team ◽  
Referral Rates ◽  
Care Plans ◽  
Neurosurgical Patients ◽  
Neurosurgical Intensive Care ◽  
Neurosurgical Intensive Care Unit

Objectives: We conducted a pilot quality improvement (QI) project with the aim of improving accessibility of palliative care to critically ill neurosurgical patients. Methods: The QI project was conducted in the neurosurgical intensive care unit (NS-ICU). Prior to the QI project, referral rates to palliative care were low. The ICU-Palliative Care collaborative comprising of the palliative and intensive care team led the QI project from 2013 to 2015. The interventions included engaging key stake-holders, establishing formal screening and referral criteria, standardizing workflows and having combined meetings with interdisciplinary teams in ICU to discuss patients’ care plans. The Palliative care team would review patients for symptom optimization, attend joint family conferences with the ICU team and support patients and families post-ICU care. We also collected data in the post-QI period from 2016 to 2018 to review the sustainability of the interventions. Results: Interventions from our QI project and the ICU-Palliative Care collaborative resulted in a significant increase in the number of referrals from 9 in 2012 to 44 in 2014 and 47 the year later. The collaboration was beneficial in facilitating transfers out of ICU with more deaths outside ICU on comfort-directed care (96%) than patients not referred (75.7%, p < 0.05). Significantly more patients had a Do-Not-Resuscitation (DNR) order upon transfer out of ICU (89.7%) compared to patients not referred (74.2.%, p < 0.001), and had fewer investigations in the last 48 hours of life (p < 0.001). Per-day ICU cost was decreased for referred patients (p < 0.05). Conclusions: Multi-faceted QI interventions increased referral rates to palliative care. Referred patients had fewer investigations at the end-of-life and per-day ICU costs.

scholarly journals Quality improvement collaborative aiming for Proactive HEAlthcare of Older People in Care Homes (PEACH): a realist evaluation protocol

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e023287 ◽  
Author(s):  
Reena Devi ◽  
Julienne Meyer ◽  
Jay Banerjee ◽  
Claire Goodman ◽  
John Raymond Fletcher Gladman ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Older People ◽  
Care Home ◽  
Realist Evaluation ◽  
Evaluation Framework ◽  
Care Homes ◽  
Quality Improvement Initiative ◽  
Quality Improvement Collaborative ◽  
Programme Theory ◽  
Health And Social Care

IntroductionThis protocol describes a study of a quality improvement collaborative (QIC) to support implementation and delivery of comprehensive geriatric assessment (CGA) in UK care homes. The QIC will be formed of health and social care professionals working in and with care homes and will be supported by clinical, quality improvement and research specialists. QIC participants will receive quality improvement training using the Model for Improvement. An appreciative approach to working with care homes will be encouraged through facilitated shared learning events, quality improvement coaching and assistance with project evaluation.Methods and analysisThe QIC will be delivered across a range of partnering organisations which plan, deliver and evaluate health services for care home residents in four local areas of one geographical region. A realist evaluation framework will be used to develop a programme theory informing how QICs are thought to work, for whom and in what ways when used to implement and deliver CGA in care homes. Data collection will involve participant observations of the QIC over 18 months, and interviews/focus groups with QIC participants to iteratively define, refine, test or refute the programme theory. Two researchers will analyse field notes, and interview/focus group transcripts, coding data using inductive and deductive analysis. The key findings and linked programme theory will be summarised as context-mechanism-outcome configurations describing what needs to be in place to use QICs to implement service improvements in care homes.Ethics and disseminationThe study protocol was reviewed by the National Health Service Health Research Authority (London Bromley research ethics committee reference: 205840) and the University of Nottingham (reference: LT07092016) ethics committees. Both determined that the Proactive HEAlthcare of Older People in Care Homes study was a service and quality improvement initiative. Findings will be shared nationally and internationally through conference presentations, publication in peer-reviewed journals, a graphical illustration and a dissemination video.

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