Improving a Web-Based Tool to Support Older Adults to Stay Independent at Home: Qualitative Study

Utilization of home- and community-based services among older adults worldwide: A systematic review and meta-analysis

OBJECTIVE

To identify and categorize home- and community-based services used by older adults and the distribution of their utilization, and to examine their utilization patterns in terms of region, time trends, and older adults' characteristics.

DESIGN

Systematic review and meta-analysis.

METHODS

We conducted a systematic search of six databases for studies published up to January 12, 2023, and performed meta-analyses and subgroup analyses to identify the utilization of home- and community-based services and analyze utilization patterns concerning region, time trends, and individual characteristics.

RESULTS

We included 42 studies from 10 countries worldwide, involving a total of 2,942,069 older adults. Home- and community-based services were grouped into three categories: health services, social services, and family caregiver services. Regional differences were consistently evident across all three categories of services, reflecting diverse patterns of home- and community-based service adoption worldwide. Notably, there was a significant increase in the utilization of social services, as distinct from health services and family caregiver services, during the post-2010 period (2010-2018) in comparison with the pre-2010 period (before 2010). In addition, age and cognitive function also played an important role in the utilization of home- and community-based services.

CONCLUSION

These findings highlight the importance of tailoring home- and community-based services to specific populations and understanding the needs of older adults over time. Further research should be undertaken to gain a deeper understanding of the reasons behind these variations and differences and to provide more targeted and effective services to older adults worldwide.

Health communication and shared decision-making between nurses and older adults in community setting: An integrative review

AIM

To explore the role of health communication in Shared Decision-Making (SDM) between nursing staff and older people in the community setting.

BACKGROUND

Society and healthcare services are marked by an exponentially ageing population, leading to a significant proportion of patients being older adults with highly demanding care needs. Scientific literature supports shared decision-making as a process that engages patients in their care. However, the increasing use of technology and the consequences of the COVID-19 pandemic have influenced how nurses communicate with older patients. Therefore, it is crucial to understand how to develop health communication to reach effective, shared decision-making processes.

METHODS

Whittemore and Knafl's integrative review method, the literature search comprised five databases: PubMed, CINALH, Web of Science, Scopus and PsycINFO.

RESULTS

The 12 included studies were synthesised into three study patterns: (1) nurse-older patient health communication relationship, (2) older patients' perspectives and (3) nontherapeutic communication in end-of-life care.

CONCLUSION

This review underscored the crucial role of effective health communication in shaping SDM dynamics between nursing staff and older people in the community setting. Key elements included transparent information exchange, establishing trust and maintaining communication channels with informal caregiving networks. SDM actions were aligned with preserving older people's autonomy, but communication challenges persisted, particularly in end-of-life situations. Advanced care planning was recommended to address these shortcomings and improve communication among older people, healthcare professionals and families.

IMPLICATIONS

Implementing educational measures based on verbal and nonverbal health communication in nursing training could be beneficial. Nursing research could continue to develop and refine specific communication strategies adapted to the social determinants of health for diverse clinical situations regarding older adults in the community setting.

REPORTING METHOD

The authors have adhered to relevant EQUATOR guidelines through the PRISMA 2020 checklist. No Patient or Public Contribution.

Healthcare Professionals' Perceptions about the Implementation of Shared Decision-Making in Primary Care: A Qualitative Study from a Virtual Community of Practice

Background

The incorporation of shared decision making (SDM) is a central part of empowerment processes, as it facilitates greater activation on the part of patients, increasing the likelihood of them gaining control over their healthcare and developing skills to solve their health problems. Despite these benefits, there are still difficulties in the implementation of SDM among healthcare professionals due to internal and external factors related to the context and health systems.

Aim

To explore primary care professionals (PCPs)' perceptions of the SDM model, based on their preconceptions and experience in clinical practice.

Methods

A framework analysis was conducted on qualitative data derived from a virtual community practice forum, within a cluster-randomized clinical trial developed in the e-MPODERA project.

Results

The most important points in the opinions of the PCPs were: exploring the patients' values, preferences and expectations, providing them with and checking their understanding of up-to-date and evidence-based health information. The analysis revealed three themes: determinants of the implementation process of SDM, lack of consistency and dilemmas and benefits of PCP active listening, motivation and positive expectations of SDM.

Discussion

In our initial analysis, we examined the connections between the categories of the TDC model and its application in the primary care context. The categories related to the model reflect the theoretical understanding of professionals, while those related to perceptions of its application and use show certain discrepancies. These discrepancies could indicate a lack of understanding of the model and its real-world implications or insufficient commitment on the part of professionals or the organization to ensure its effective implementation.

Conclusions

Specific targeted training that addresses knowledge, attitudes and practice may resolve the aforementioned findings.

Shared decision-making in Canada: Update on integration of evidence in health decisions and patient-centred care government mandates

In Canada, government mandates for patient-centred care (PCC) vary across the 10 provinces and three territories. Although basic medical and hospital services are provided for all, health care options for patients also depend on having private insurance. Thus, the current design of the Canadian healthcare system has several implications for PCC and shared decision-making (SDM). Since 2007, this is our fourth update on SDM in Canada. The aim of this paper is to provide an update on the current state of SDM and patient and public involvement in Canada. Overall, we still observed the difficulty of implementing any sort of national strategy partly because of the decentralized nature of the healthcare system. Second, national professional education programs are complicated by licensure and scope of practice variations across jurisdictions. Third, there are variations in the availability of different options covered by universal healthcare. Canada has experienced some favorable development as PCC is now explicitly articulated in the policies of most provinces and territories and there are increased efforts to give patients more access to their electronic health records. However, patient and public engagement (PPE) reform in health programs and governance remains an exception, and continuing centralization of governance structures may reduce their responsiveness to patient priorities. In a 2018 survey, 47.2% of respondents reported that they were not told by their health professional that they had a choice about treatment. Nonetheless, decision aids and decision coaching are increasingly available for health-related decisions and the Ottawa Hospital Research Institute's decision aid inventory has ensured continued leadership in this area. Diverse jurisdictions are starting to embed decision aids into care pathways, with some decision aids being included in clinical practice guidelines. The COVID-19 pandemic may have had a negative impact on SDM by removing decision choices due to emergency public health mandates, but stimulated new research and decision aids. Canada continues to assign health research funding to SDM and PCC, and a program dedicated to patient-oriented research is central to this effort. Guides and frameworks are increasingly available for planning and evaluating PPE. Finally, various initiatives are attempting to involve and empower Indigenous peoples through PPE and SDM.

Mobile Health Interventions to Support Caregivers of Older Adults: An Equity-Focused Systematic Review

Background

Informal caregivers, hereafter referred to as caregivers, provide support to older adults so that they can age safely at home. The decision to become a caregiver can be influenced by individual factors, such as personal choice, or societal factors such as social determinants of health, including household income, employment status, and culture-specific gender roles. Over time, caregivers’ health can be negatively affected by their caregiving roles. Although programs exist to support caregivers, the availability and appropriateness of services do not match caregivers’ expressed needs. Research suggests that supportive interventions offered through mobile health (mHealth) technologies have the potential to increase caregivers’ access to supportive services. However, a knowledge gap remains regarding the extent to which social determinants of health are considered in the design, implementation, and evaluation of mHealth interventions intended to support the caregivers of older adults.

Objective

This study aimed to conduct a systematic review to determine how health equity is considered in the design, implementation, and evaluation of mHealth interventions for caregivers of older adults using Cochrane Equity’s PROGRESS-Plus (place of residence, race, ethnicity, culture, language, occupation, gender, religion, education, social capital, socioeconomic status–plus age, disability, and sexual orientation) framework and synthesize evidence of the impacts of the identified caregiver-focused mHealth interventions.

Methods

A systematic review was conducted using 5 databases. Articles published between January 2010 and June 2021 were included if they evaluated or explored the impact of mHealth interventions on the health and well-being of informal caregivers of older adults. mHealth interventions were defined as supportive services, for example, education, that caregivers of older adults accessed via mobile or wireless devices.

Results

In total, 28 articles met the inclusion criteria and were included in the review. The interventions evaluated sought to connect caregivers with services, facilitate caregiving, and promote caregivers’ health and well-being. The PROGRESS-Plus framework factors were mainly considered in the results, discussion, and limitations sections of the included studies. Some PROGRESS-Plus factors such as sexual orientation, religion, and occupation, received little to no consideration across any phase of the intervention design, implementation, or evaluation. Overall, the findings of this review suggest that mHealth interventions were positively received by study participants. Such interventions have the potential to reduce caregiver burden and positively affect caregivers’ physical and mental health while supporting them as caregivers. The study findings highlight the importance of making support available to help facilitate caregivers’ use of mHealth interventions, as well as in the use of appropriate language and text.

Conclusions

The successful uptake and spread of mHealth interventions to support caregivers of older adults will depend on creating opportunities for the inclusive involvement of a broad range of stakeholders at all stages of design, implementation, and evaluation.

Telehealth Literacy as a Social Determinant of Health: A Novel Screening Tool to Support Vulnerable Patient Equity

Background:

Telehealth has evolved as a solution to COVID-19 isolation precautions and remote care with well-established health, socioeconomic, and practical benefits. However, there are many gaps in the current literature regarding telehealth use among older, low health literate, and resource-limited populations. There are ethical considerations that warrant understanding this digital divide.

Objective:

The objective of this review is to propose the Telehealth Literacy Screening Tool (TLST) for use in older adults and support the future inclusion of telehealth literacy as an important social determinant of health (SDOH).

Methods:

Initially a four-week outreach was performed that targeted older adults and low-health literate patients at the MedVantage Clinic (MVC) within Ochsner Health (OH) to identify common barriers to patient engagement with the OH Epic MyChart telehealth platform. Themes from those barriers directed a meta-synthetic review of the methods and ethical considerations of current, validated technological and telehealth literacy screening tools. Those findings were reported based on the standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement.

Results:

Based on the barriers identified during our MVC patient outreach, PRISMA-reported review of telehealth literacy screening research, and evaluation of the MyChart platform and the technological resources required for its use; we developed a multidimensional questionnaire for telehealth literacy screening of older adults.

Conclusion:

The TLST is designed to identify patients in need of additional interventions for successful connection to telehealth services. This is an important step towards addressing the ethical obligation to decrease disparities in telehealth literacy for vulnerable populations and identifying telehealth literacy as a SDOH.

Enabling Guidelines for the Adoption of eHealth Solutions: Scoping Review

BACKGROUND

Globally, public health care is under increasing pressure, an economic burden currently amplified by the COVID-19 outbreak. With the recognition that universal health coverage improves the health of a population and reduces health inequalities, universal health coverage has been acknowledged as a priority goal. To meet the global needs in a population with increased chronic illness and longer life expectancy, the health care system is in dire need of new, emerging technologies. eHealth solutions as a method of delivery may have an impact on quality of care and health care costs. As such, it is important to study methods previously used to avoid suboptimal implementation and promote general guidelines to further develop eHealth solutions.

OBJECTIVE

This study aims to explore and thematically categorize a selected representation of early phase studies on eHealth technologies, focusing on papers that are under development or undergoing testing. Further, we want to assess enablers and barriers in terms of usability, scaling, and data management of eHealth implementation. The aim of this study to explore early development phase and feasibility studies was an intentional effort to provide applicable guidelines for evaluation at different stages of implementation.

METHODS

A structured search was performed in PubMed, MEDLINE, and Cochrane to identify and provide insight in current eHealth technology and methodology under development and gain insight in the future potential of eHealth technologies.

RESULTS

In total, 27 articles were included in this review. The clinical studies were categorized thematically by illness comparing 4 technology types deemed relevant: apps/web-based technology, sensor technology, virtual reality, and television. All eHealth assessment and implementation studies were categorized by their focus point: usability, scaling, or data management. Studies assessing the effect of eHealth were divided into feasibility studies, qualitative studies, and heuristic assessments. Studies focusing on usability (16/27) mainly addressed user involvement and learning curve in the adoption of eHealth, while the majority of scaling studies (6/27) focused on strategic and organizational aspects of upscaling eHealth solutions. Studies focusing on data management (5/27) addressed data processing and data sensitivity in adoption and diffusion of eHealth. Efficient processing of data in a secure manner, as well as user involvement and feedback, both throughout small studies and during upscaling, were the important enablers considered for successful implementation of eHealth.

CONCLUSIONS

eHealth interventions have considerable potential to improve lifestyle changes and adherence to treatment recommendations. To promote efficient implementation and scaling, user involvement to promote user-friendliness, secure and adaptable data management, and strategical considerations needs to be addressed early in the development process. eHealth should be assessed during its development into health services. The wide variation in interventions and methodology makes comparison of the results challenging and calls for standardization of methods.

Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores

Background

Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults.

Objective

This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores.

Methods

In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality.

Results

In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality.

Conclusions

There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps.

Technology to Improve Autonomy and Inform Housing Decisions for Older Adults With Memory Problems Who Live at Home in Canada, Sweden, and the Netherlands: Protocol for a Multipronged Mixed Methods Study

BACKGROUND

Understanding the mobility patterns and experiences of older adults with memory problems living at home has the potential to improve autonomy and inform shared decision making (SDM) about their housing options.

OBJECTIVE

We aim to (1) assess the mobility patterns and experiences of older adults with memory problems, (2) co-design an electronic decision support intervention (e-DSI) that integrates users' mobility patterns and experiences, (3) explore their intention to use an e-DSI to support autonomy at home, and (4) inform future SDM processes about housing options.

METHODS

Informed by the Good Reporting of A Mixed Methods Study (GRAMMS) reporting guidelines, we will conduct a 3-year, multipronged mixed methods study in Canada, Sweden, and the Netherlands. For Phase 1, we will recruit a convenience sample of 20 older adults living at home with memory problems from clinical and community settings in each country, for a total of 60 participants. We will ask participants to record their mobility patterns outside their home for 14 days using a GPS tracker and a travel diary; in addition, we will conduct a walking interview and a final debrief interview after 14 days. For Phase 2, referring to results from the first phase, we will conduct one user-centered co-design process per country with older adults with memory issues, caregivers, health care professionals, and information technology representatives informed by the Double Diamond method. We will ask participants how personalized information about mobility patterns and experiences could be added to an existing e-DSI and how this information could inform SDM about housing options. For Phase 3, using online web-based surveys, we will invite 210 older adults with memory problems and/or their caregivers, split equally across the three countries, to use the e-DSI and provide feedback on its strengths and limitations. Finally, in Phase 4, we will triangulate and compare data from all phases and countries to inform a stakeholder meeting where an action plan will be developed.

RESULTS

The study opened for recruitment in the Netherlands in November 2018 and in Canada and Sweden in December 2019. Data collection will be completed by April 2021.

CONCLUSIONS

This project will explore how e-DSIs can integrate the mobility patterns and mobility experiences of older adults with memory problems in three countries, improve older adults' autonomy, and, ultimately, inform SDM about housing options.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04267484; https://clinicaltrials.gov/ct2/show/NCT04267484.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/19244.