High Technology Coming to a Nursing Home Near You

Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review

BACKGROUND AND OBJECTIVES

Smart technology in nursing home settings has the potential to elevate an operation that manages more significant number of older residents. However, the concepts, definitions, and types of smart technology, integrated medical services, and stakeholders' acceptability of smart nursing homes are less clear. This scoping review aims to define a smart nursing home and examine the qualitative evidence on technological feasibility, integration of medical services, and acceptability of the stakeholders.

METHODS

Comprehensive searches were conducted on stakeholders' websites (Phase 1) and 11 electronic databases (Phase 2), for existing concepts of smart nursing home, on what and how technologies and medical services were implemented in nursing home settings, and acceptability assessment by the stakeholders. The publication year was inclusive from January 1999 to September 2021. The language was limited to English and Chinese. Included articles must report nursing home settings related to older adults ≥ 60 years old with or without medical demands but not bed-bound. Technology Readiness Levels were used to measure the readiness of new technologies and system designs. The analysis was guided by the Framework Method and the smart technology adoption behaviours of elder consumers theoretical model. The results were reported according to the PRISMA-ScR.

RESULTS

A total of 177 literature (13 website documents and 164 journal articles) were selected. Smart nursing homes are technology-assisted nursing homes that allow the life enjoyment of their residents. They used IoT, computing technologies, cloud computing, big data and AI, information management systems, and digital health to integrate medical services in monitoring abnormal events, assisting daily living, conducting teleconsultation, managing health information, and improving the interaction between providers and residents. Fifty-five percent of the new technologies were ready for use in nursing homes (levels 6-7), and the remaining were proven the technical feasibility (levels 1-5). Healthcare professionals with higher education, better tech-savviness, fewer years at work, and older adults with more severe illnesses were more acceptable to smart technologies.

CONCLUSIONS

Smart nursing homes with integrated medical services have great potential to improve the quality of care and ensure older residents' quality of life.

The expectations and acceptability of a smart nursing home model among Chinese elderly people: A mixed methods study protocol

Nursing homes integrated with smart information such as the Internet of Things, cloud computing, artificial intelligence, and digital health could improve not only the quality of care but also benefit the residents and health professionals by providing effective care and efficient medical services. However, a clear concept of a smart nursing home, the expectations and acceptability from the perspectives of the elderly people and their family members are still unclear. In addition, instruments to measure the expectations and acceptability of a smart nursing home are also lacking. The study aims to explore and determine the levels of these expectations, acceptability and the associated sociodemographic factors. This exploratory sequential mixed methods study comprises a qualitative study which will be conducted through a semi-structured interview to explore the expectations and acceptability of a smart nursing home among Chinese elderly people and their family members (Phase I). Next, a questionnaire will be developed and validated based on the results of a qualitative study in Phase I and a preceding scoping review on smart nursing homes by the same authors (Phase II). Lastly, a nationwide survey will be carried out to examine the levels of expectations and acceptability, and the associated sociodemographic factors with the different categories of expectations and acceptability (Phase III). With a better understanding of the Chinese elderly people's expectations and acceptability of smart technologies in nursing homes, a feasible smart nursing home model that incorporates appropriate technologies, integrates needed medical services and business concepts could be formulated and tested as a solution for the rapidly ageing societies in many developed and developing countries.

Innovation to enhance health in care homes and evaluation of tools for measuring outcomes of care: rapid evidence synthesis

Background

Flexible, integrated models of service delivery are being developed to meet the changing demands of an ageing population. To underpin the spread of innovative models of care across the NHS, summaries of the current research evidence are needed. This report focuses exclusively on care homes and reviews work in four specific areas, identified as key enablers for the NHS England vanguard programme.

Aim

To conduct a rapid synthesis of evidence relating to enhancing health in care homes across four key areas: technology, communication and engagement, workforce and evaluation.

Objectives

(1) To map the published literature on the uses, benefits and challenges of technology in care homes; flexible and innovative uses of the nursing and support workforce to benefit resident care; communication and engagement between care homes, communities and health-related organisations; and approaches to the evaluation of new models of care in care homes. (2) To conduct rapid, systematic syntheses of evidence to answer the following questions. Which technologies have a positive impact on resident health and well-being? How should care homes and the NHS communicate to enhance resident, family and staff outcomes and experiences? Which measurement tools have been validated for use in UK care homes? What is the evidence that staffing levels (i.e. ratio of registered nurses and support staff to residents or different levels of support staff) influence resident outcomes?

Data sources

Searches of MEDLINE, CINAHL, Science Citation Index, Cochrane Database of Systematic Reviews, DARE (Database of Abstracts of Reviews of Effects) and Index to Theses. Grey literature was sought via Google™ (Mountain View, CA, USA) and websites relevant to each individual search.

Design

Mapping review and rapid, systematic evidence syntheses.

Setting

Care homes with and without nursing in high-income countries.

Review methods

Published literature was mapped to a bespoke framework, and four linked rapid critical reviews of the available evidence were undertaken using systematic methods. Data were not suitable for meta-analysis, and are presented in narrative syntheses.

Results

Seven hundred and sixty-one studies were mapped across the four topic areas, and 65 studies were included in systematic rapid reviews. This work identified a paucity of large, high-quality research studies, particularly from the UK. The key findings include the following. (1) Technology: some of the most promising interventions appear to be games that promote physical activity and enhance mental health and well-being. (2) Communication and engagement: structured communication tools have been shown to enhance communication with health services and resident outcomes in US studies. No robust evidence was identified on care home engagement with communities. (3) Evaluation: 6 of the 65 measurement tools identified had been validated for use in UK care homes, two of which provide general assessments of care. The methodological quality of all six tools was assessed as poor. (4) Workforce: joint working within and beyond the care home and initiatives that focus on staff taking on new but specific care tasks appear to be associated with enhanced outcomes. Evidence for staff taking on traditional nursing tasks without qualification is limited, but promising.

Limitations

This review was restricted to English-language publications after the year 2000. The rapid methodology has facilitated a broad review in a short time period, but the possibility of omissions and errors cannot be excluded.

Conclusions

This review provides limited evidential support for some of the innovations in the NHS vanguard programme, and identifies key issues and gaps for future research and evaluation.

Future work

Future work should provide high-quality evidence, in particular experimental studies, economic evaluations and research sensitive to the UK context.

Study registration

This study is registered as PROSPERO CRD42016052933, CRD42016052933, CRD42016052937 and CRD42016052938.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.