Relationship between staff and quality of care in care homes: StaRQ mixed methods study.

Karen Spilsbury, A. Charlwood, Carl Thompson, Kirsty Haunch, D. Valizade, Reena Devi, Cornell Jackson, D. Alldred, Antony Arthur, Lucy Brown, Paul Edwards, Will Fenton, Heather Gage, Matthew Glover, Barbara Hanratty, Julienne Meyer, Aileen Waton
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The reasons are complex, understudied and sometimes oversimplified, but staff and their work are a significant influence.\n\n\nObjective(s)\nTo explore variations in the care home nursing and support workforce; how resident and relatives' needs in care homes are linked to care home staffing; how different staffing models impact on care quality, outcomes and costs; how workforce numbers, skill mix and stability meet residents' needs; the contributions of the care home workforce to enhancing quality of care; staff relationships as a platform for implementation by providers.\n\n\nDesign\nMixed-method (QUAL-QUANT) parallel design with five work packages. WP1 - two evidence syntheses (one realist); WP2 - cross-sectional survey of routine staffing and rated quality from care home regulator; WP3 - analysis of longitudinal data from a corporate provider of staffing characteristics and quality indicators, including safety; WP4 - secondary analysis of care home regulator reports; WP5 - social network analysis of networks likely to influence quality innovation. We expressed our synthesised findings as a logic model.\n\n\nSetting\nEnglish care homes, with and without nursing, with various ownership structures, size and location, with varying quality ratings.\n\n\nParticipants\nManagers, residents, families and care home staff.\n\n\nFindings\nStaffing's contribution to quality and personalised care requires: managerial and staff stability and consistency; sufficient staff to develop 'familial' relationships between staff and residents, and staff-staff reciprocity, 'knowing' residents, and skills and competence training beyond induction; supported, well-led staff seeing modelled behaviours from supervisors; autonomy to act. Outcome measures that capture the relationship between staffing and quality include: the extent to which resident needs and preferences are met and culturally appropriate; resident and family satisfaction; extent of residents living with purpose; safe care (including clinical outcomes); staff well-being and job satisfaction were important, but underacknowledged.\n\n\nLimitations\nMany of our findings stem from self-reported and routine data with known biases - such as under reporting of adverse incidents; our analysis may reflect these biases. COVID-19 required adapting our original protocol to make it feasible. Consequently, the effects of the pandemic are reflected in our research methods and findings. Our findings are based on data from a single care home operator and so may not be generalised to the wider population of care homes.\n\n\nConclusions\nInnovative and multiple methods and theory can successfully highlight the nuanced relationship between staffing and quality in care homes. Modifiable characteristics such as visible philosophies of care and high-quality training, reinforced by behavioural and relational role modelling by leaders can make the difference when sufficient amounts of consistent staff are employed. Greater staffing capacity alone is unlikely to enhance quality in a cost-effective manner. Social network analysis can help identify the right people to aid adoption and spread of quality and innovation. Future research should focus on richer, iterative, evaluative testing and development of our logic model using theoretically and empirically defensible - rather than available - inputs and outcomes.\n\n\nStudy registration\nThis study is registered as PROSPERO CRD42021241066 and Research Registry registration: 1062.\n\n\nFunding\nThis award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/144/29) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 8. See the NIHR Funding and Awards website for further award information.","PeriodicalId":73204,"journal":{"name":"Health and social care delivery research","volume":"100 ","pages":"1-139"},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health and social care delivery research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3310/GWTT8143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Background Quality of life and care varies between and within the care homes in which almost half a million older people live and over half a million direct care staff (registered nurses and care assistants) work. The reasons are complex, understudied and sometimes oversimplified, but staff and their work are a significant influence. Objective(s) To explore variations in the care home nursing and support workforce; how resident and relatives' needs in care homes are linked to care home staffing; how different staffing models impact on care quality, outcomes and costs; how workforce numbers, skill mix and stability meet residents' needs; the contributions of the care home workforce to enhancing quality of care; staff relationships as a platform for implementation by providers. Design Mixed-method (QUAL-QUANT) parallel design with five work packages. WP1 - two evidence syntheses (one realist); WP2 - cross-sectional survey of routine staffing and rated quality from care home regulator; WP3 - analysis of longitudinal data from a corporate provider of staffing characteristics and quality indicators, including safety; WP4 - secondary analysis of care home regulator reports; WP5 - social network analysis of networks likely to influence quality innovation. We expressed our synthesised findings as a logic model. Setting English care homes, with and without nursing, with various ownership structures, size and location, with varying quality ratings. Participants Managers, residents, families and care home staff. Findings Staffing's contribution to quality and personalised care requires: managerial and staff stability and consistency; sufficient staff to develop 'familial' relationships between staff and residents, and staff-staff reciprocity, 'knowing' residents, and skills and competence training beyond induction; supported, well-led staff seeing modelled behaviours from supervisors; autonomy to act. Outcome measures that capture the relationship between staffing and quality include: the extent to which resident needs and preferences are met and culturally appropriate; resident and family satisfaction; extent of residents living with purpose; safe care (including clinical outcomes); staff well-being and job satisfaction were important, but underacknowledged. Limitations Many of our findings stem from self-reported and routine data with known biases - such as under reporting of adverse incidents; our analysis may reflect these biases. COVID-19 required adapting our original protocol to make it feasible. Consequently, the effects of the pandemic are reflected in our research methods and findings. Our findings are based on data from a single care home operator and so may not be generalised to the wider population of care homes. Conclusions Innovative and multiple methods and theory can successfully highlight the nuanced relationship between staffing and quality in care homes. Modifiable characteristics such as visible philosophies of care and high-quality training, reinforced by behavioural and relational role modelling by leaders can make the difference when sufficient amounts of consistent staff are employed. Greater staffing capacity alone is unlikely to enhance quality in a cost-effective manner. Social network analysis can help identify the right people to aid adoption and spread of quality and innovation. Future research should focus on richer, iterative, evaluative testing and development of our logic model using theoretically and empirically defensible - rather than available - inputs and outcomes. Study registration This study is registered as PROSPERO CRD42021241066 and Research Registry registration: 1062. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/144/29) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 8. See the NIHR Funding and Awards website for further award information.
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养老院员工与护理质量之间的关系:StaRQ 混合方法研究。
背景近 50 万老年人居住在护理院中,50 多万直接护理人员(注册护士和护理助理)在护理院中工作,他们的生活质量和护理质量在护理院之间和护理院内部各不相同。原因复杂,研究不足,有时过于简单化,但工作人员及其工作是一个重要的影响因素。目标探讨护理院护理和支持人员队伍的变化;护理院居民和亲属的需求如何与护理院的人员配备相联系;不同的人员配备模式如何影响护理质量、结果和成本;人员数量、技能组合和稳定性如何满足居民的需求;护理院人员队伍对提高护理质量的贡献;员工关系作为提供方实施工作的平台。WP1 - 两项证据综述(其中一项为现实主义);WP2 - 来自护理院监管机构的常规人员配备和评定质量的横向调查;WP3 - 来自企业供应商的人员配备特征和质量指标(包括安全性)的纵向数据分析;WP4 - 护理院监管机构报告的二次分析;WP5 - 对可能影响质量创新的网络进行社会网络分析。我们以逻辑模型的形式表达了我们的综合研究结果。研究背景英国的护理院,有护理和无护理两种,所有权结构、规模和地点各不相同,质量评级也各不相同。研究结果人员配置对高质量和个性化护理的贡献需要:管理者和员工的稳定性和一致性;足够的员工来发展员工与住户之间的 "家庭 "关系,以及员工与员工之间的互惠、"了解 "住户、入职培训之外的技能和能力培训;得到支持和良好领导的员工看到主管的示范行为;自主行动。能够反映人员配置与质量之间关系的结果测量包括:居民需求和偏好的满足程度以及文化适宜性;居民和家庭的满意度;居民有目的生活的程度;安全护理(包括临床结果);员工福利和工作满意度很重要,但未得到充分认识。局限性我们的许多研究结果来自于自我报告和常规数据,这些数据存在已知的偏差,例如不良事件报告不足;我们的分析可能反映了这些偏差。COVID-19 需要调整我们的原始方案以使其可行。因此,大流行病的影响反映在我们的研究方法和研究结果中。我们的研究结果基于一家护理院经营者的数据,因此可能无法推广到更广泛的护理院。可改变的特征,如明显的护理理念和高质量的培训,再加上领导者在行为和关系上的榜样作用,可以在雇用足够数量的稳定员工时产生不同的效果。仅靠增加人员配置不太可能以符合成本效益的方式提高质量。社会网络分析可以帮助确定合适的人员,帮助质量和创新的采用和传播。未来的研究应侧重于使用理论和经验上站得住脚的投入和结果,而不是现有的投入和结果,对我们的逻辑模型进行更丰富的、反复的、评估性的测试和开发:1062.资助该奖项由国家健康与护理研究所(NIHR)健康与社会护理服务研究计划(NIHR奖项编号:15/144/29)资助,全文发表于《健康与社会护理服务研究》第12卷第8期。如需了解更多奖项信息,请访问 NIHR Funding and Awards 网站。
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Causes and solutions to workplace psychological ill-health for nurses, midwives and paramedics: the Care Under Pressure 2 realist review. Relationship between staff and quality of care in care homes: StaRQ mixed methods study. Practices of falls risk assessment and prevention in acute hospital settings: a realist investigation. Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study. Reducing health inequalities through general practice: a realist review and action framework.
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