Symbolic illustration of researchers and care home staff collaborating on data collection.

Cracking the Care Home Data Code: How to Improve Research Collection

"Uncover strategies to tackle data collection challenges in care homes and ensure successful research outcomes."


Research in care homes is vital for enhancing the quality of life for residents, informing best practices, and shaping effective policies. However, conducting research in these settings presents unique challenges. From gaining staff buy-in to managing data collection logistics, researchers face a complex landscape that demands careful navigation.

A recent study, the Falls in Care Home (FinCH) study, involving 87 care homes and over 1600 residents across the UK, sheds light on these challenges and offers valuable insights. The FinCH study aimed to collect data on various measurements, including falls, medication usage, and access to primary care services. By examining the hurdles encountered during data collection, the study provides a roadmap for future research endeavors in care homes.

This article delves into the key challenges and facilitators identified by the FinCH study. It offers practical strategies and actionable recommendations for researchers, care home staff, and policymakers to improve data collection processes and foster a more collaborative research environment.

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The Care Home Data Challenge

Research in care homes is increasingly complex, involving ethical approval, access through gatekeepers, informed consent, and data collection from residents. Care home organisations already collect extensive resident-level information for their own uses, but privacy and data protection concerns can hinder data sharing. The FinCH study also identified practical challenges involving staff buy-in, communication, and expectations.

Building a Research Foundation

Care homes are a common place of death for older adults, particularly those with complex health needs or dementia. The need for representative, internationally comparable data on care home facilities and residents has long been recognised, yet identifying and collecting these data can be challenging and underreported. More recent approaches emphasise partnerships with long-term care communities, adapting methods for hard-to-reach participants, and minimising burdens during recruitment and data collection.

Common Roadblocks in Care Home Data Collection

Symbolic illustration of researchers and care home staff collaborating on data collection.

One of the primary obstacles identified in the FinCH study was a lack of engagement from working-level staff. Many staff members felt overburdened and viewed the research activities as an additional strain on their already demanding workloads. This sentiment was often compounded by conflicting priorities, such as the implementation of new care schemes.

Communication issues also played a significant role. Staff members sometimes harbored suspicions about the study's intentions, particularly if they felt inadequately informed about its purpose and non-judgmental nature. Furthermore, a lack of training in research methods left some staff feeling unprepared and uncertain about their role in the data collection process.

  • Limited Staff Buy-In: Address staff workload concerns and highlight the study's benefits.
  • Communication Gaps: Clearly communicate study goals and address staff concerns.
  • Insufficient Training: Provide research method training to care home staff.
  • Unrealistic Expectations: Ensure data collection timelines are feasible for care home staff.
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From Records to Minimum Data Sets

The DACHA pilot recruited 996 residents from 45 care homes, with data from 727 residents included in the minimum data set. Researchers linked residents’ digital care records with statutory health and social care data sets, producing a viable minimum data set prototype with metadata as a resource. Hanratty and colleagues report that care home organisations already collect extensive resident-level information, suggesting that future social care records or minimum data sets could begin by reviewing existing collection practices.

Testing Implementation Before Expansion

The proposed care home minimum data set still requires evaluation of its effects on resident outcomes, service delivery, staff experience, cross-sector collaboration, resource use, and digital technology implementation. A qualitative implementation study aimed to link NHS England administrative health data and statutory social care data with care home digital care records, while adding structured measures on resident needs and quality of life. Public involvement work on collaboration around a minimum data set also highlights the importance of developing lessons for future research projects.

The Research-Ready Network Model

A national network of research-ready care homes used both corporate engagement and individual invitations to recruit participating homes. In its second phase, the network recruited 141 care homes. This model illustrates how organised relationships with care providers can support research access across multiple settings.

Another critical issue was the misinterpretation of research protocols. Some staff members lacked a clear understanding of concepts such as randomization and blinding, leading to unintentional breaches of research protocols. This highlights the importance of providing comprehensive training and ongoing support to ensure the integrity of the data collection process.

Building Bridges: Fostering a Collaborative Research Environment

The FinCH study underscores the importance of building strong relationships between researchers and care home staff. By implementing a comprehensive communication plan, providing adequate research training, and addressing staff concerns, researchers can create a more collaborative and supportive environment. This, in turn, will lead to more accurate and reliable data, ultimately benefiting the residents and the broader care community.

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Making Inclusion Ordinary

Underrepresentation of care home residents in research has contributed to a poorer evidence base for health care in care homes. Residents face fewer opportunities to participate, while assumptions about their interests or wishes can further restrict inclusion. Advance Research Planning is conceptually interesting, but its implementation in care homes presents significant challenges.

A Changing Research Landscape

Care home research is undergoing significant transformation. The cited emerging-trends overview attributes this change to technological advancements, demographic shifts, and evolving healthcare policies. It describes a field that now covers a broad range of studies, including research on efficacy.

Resources, Representation, and Collaboration

Care home research operates amid pressure to achieve better outcomes with fewer resources, alongside staff attrition during the pandemic and funding shortfalls linked in part to the post-pandemic global context. Care home residents are often excluded from research that could directly benefit them, despite public involvement being important for keeping research relevant to its target population. Systematic-review sources identify public involvement approaches as a key area for understanding and improving collaboration with older adults living in long-term care homes.

How minimum data sets compare with existing reporting systems

The evidence places a care-home minimum data set alongside several existing information streams rather than treating it as the only source of resident information. Care homes report regularly to local commissioners, while health and social care services collect separate information about residents.[1]

The Capacity Tracker is a separate collection introduced during the pandemic. It remains ongoing, requires mandatory reporting from care homes, and includes enforceable fines when data are not provided.[1]

What remains unresolved about linked care-home data

  • A prototype can show that information from NHS, social care and care-home records can be brought together, but it does not establish whether doing so improves resident outcomes, service delivery, staff experience, collaboration between sectors, resource use or digital implementation.[2]
  • The evidence also leaves an organisational question: how can stakeholders share information sufficiently to support coordinated care, service development and research when limited data sharing currently constrains those activities?[2]

Questions about the data-set approach

What was the purpose of the DACHA minimum data set?

The DACHA study aimed to develop and test a minimum data set that brought together information useful for supporting and improving care and facilitating research.[3]

What did the qualitative work examine?

The qualitative work examined care-home staff views and experiences of collecting structured measures of residents’ quality of life, cognition and function, as well as how staff and other professionals might use minimum data set information.[1]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

Everything You Need To Know

1

Why is the Falls in Care Home (FinCH) study considered important?

The Falls in Care Home (FinCH) study is significant because it sheds light on the challenges of conducting research in care homes. It highlights specific hurdles encountered during data collection, such as limited staff buy-in, communication gaps, and insufficient training. The FinCH study is important as it offers valuable insights and a roadmap for future research endeavors aimed at enhancing the quality of life for residents and informing best practices within care homes. The implications of such a study are far-reaching, potentially shaping policies and improving the overall care environment.

2

What does 'limited staff buy-in' mean, and why is it an obstacle in research?

Limited staff buy-in refers to the lack of engagement from care home staff in research activities. It is a significant obstacle because overburdened staff members may view research as an additional strain on their workload, leading to resistance or lack of participation. Addressing limited staff buy-in is crucial for ensuring successful data collection and fostering a collaborative research environment. Without it, research outcomes may be compromised, and the potential benefits for residents may not be realized. Overcoming this requires highlighting the study's benefits and addressing workload concerns.

3

What are 'communication gaps' in the context of care home research, and why is it important to address them?

Communication gaps in the context of research within care homes refer to misunderstandings or lack of information shared between researchers and care home staff. These gaps can lead to staff suspicions about the study's intentions or a lack of understanding about their role in the data collection process. Addressing communication gaps is essential because clear communication ensures that staff members are well-informed, reducing mistrust and increasing their willingness to participate. Implications of unresolved communication gaps include compromised data integrity and a less collaborative research environment.

4

What is 'insufficient training,' and why is it a problem for research in care homes?

Insufficient training means that care home staff lack adequate preparation in research methods. This is significant because without proper training, staff members may feel unprepared and uncertain about their role in the data collection process, leading to unintentional breaches of research protocols or inaccurate data. Providing research method training to care home staff is crucial for ensuring data integrity and promoting a more collaborative research environment. Overcoming this may also include training staff on concepts such as randomization and blinding.

5

What does it mean to foster a 'collaborative research environment', and why is it so vital?

Fostering a collaborative research environment refers to building strong relationships between researchers and care home staff through open communication, adequate training, and addressing staff concerns. It's vital because it creates a supportive atmosphere where staff members are more willing to participate in research activities, leading to more accurate and reliable data. The implications of a collaborative environment include improved research outcomes, enhanced care practices, and a greater positive impact on the lives of care home residents. The FinCH study underscores the importance of this concept.

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