Scoping review: Facilitators and barriers in the adoption of teledentistry among older adults

OBJECTIVE/BACKGROUND

Access to oral health care among older adults is a key issue in society, which has been exacerbated by social distancing measures and lockdowns during the COVID-19 pandemic. Older adults would greatly benefit from teledentistry, yet little information exists on the enablers and challenges of adopting this technology for use with this group. The aim of this scoping review is to summarise the applications and key factors associated with the adoption of teledentistry among older adults.

MATERIALS AND METHODS

This scoping review was developed in accordance with Arksey and O'Malley's five-stage framework and the Joanna Briggs Institute scoping review protocol guidelines. Publications on teledentistry involving direct clinical services for older adults aged 60 and above were included. Publications that focused solely on teleeducation were excluded. A systematic search was carried out on major electronic databases until 25 August 2020. Out of 1084 articles screened, 25 articles were included. Facilitators and barriers were categorised using the socio-ecological model.

RESULTS/DISCUSSION

Teleconsultation and telediagnosis were the most reported applications of teledentistry among older adults. Reported policy-level factors were data privacy issues (n = 7) and regulations (n = 17). Community-level facilitators and barriers included the availability of resources (n = 15) and support (n = 3). Familiar care settings (n = 2) and effective administration (n = 20) were key organisational-level factors. Staff attitudes and education (n = 23) and individual patient knowledge, attitudes and practices (n = 10) can influence teledentistry adoption while complex medical conditions (n = 8) may pose a challenge.

CONCLUSION

Key factors in the uptake of teledentistry among older adults span across policy, community, organisational, interpersonal and individual factors. Commonly reported barriers included technical issues, lack of funding, consent issues and cognitive impairments.

Dental professionals' perspectives working with Aboriginal children in Western Australia: a qualitative study

BACKGROUND

The disproportionate burden of oral disease in Aboriginal children and the issues in accessing mainstream dental services are well documented. Yet little is known about dental professionals' perspectives in providing oral care for Aboriginal children. This paper presents findings from a study exploring such perspectives.

METHODS

Semi-structured interviews were carried out in Western Australia following purposive sampling of non-Aboriginal dentists, dental clinic assistants (dental nurses) and oral health therapists/dental hygienists. Interviews were recorded, transcribed and analysed guided by grounded theory for key themes related to the topic.

RESULTS

Findings included a service delivery model sometimes unresponsive to Aboriginal families' needs; dental professionals' limited education and training to work with confidence and cultural sensitivity with Aboriginal patients and socioeconomic influences on Aboriginal children's poor oral health considered outside dental professionals' remit of care.

DISCUSSION

Findings suggest oral health policies and practices and dental professionals' education and training need reviewing for how well such policies support dental professionals in an Aboriginal context. This includes engaging with Aboriginal stakeholders, working effectively with Aboriginal families, and developing shared understandings about what is needed to increase access to care and improve oral health outcomes for Aboriginal children.

Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects

BACKGROUND

Existing studies have demonstrated that behavioural barriers impede eHealth usage among senior citizens. However, thus far, no analysis of how such barriers affect elderly people with disabilities (PwD) has been conducted. Thus, the study investigates the predictors of eHealth usage among elderly PwD.

METHODS

Using data from a 2018 nationwide disability survey comprising 14,798 respondents in Australia, multivariate logistic regression models are used to predict the relationship between eHealth usage and the various characteristics of respondents, including access to information and communication technologies (ICTs), socioeconomic status, and level of education.

RESULTS

Although most participants (approximately 88%) have access to ICTs, few (only around 9%) have used eHealth services. The results show a number of factors are associated with an increased likelihood of using eHealth services, including higher educational attainment (odds ratio [OR] = 3.12, 95% confidence interval [CI]: 2.38, 4.24), employment (OR = 1.43, 95% CI: 1.06, 1.94), higher household income (OR = 1.39, 95% CI: 1.00, 1.96), and ICT access (OR = 15.92, 95% CI: 10.51, 27.01). The probability of eHealth use is lower for the oldest-old (OR = 0.35, 95% CI: 0.22, 0.45). In addition, the estimates from interaction effects suggest the effect of ICT penetration on use of eHealth falls by a negligible amount because of resistive attitudinal barriers (OR = 0.01, 95% CI: 0.01, 0.06).

CONCLUSION

Given the challenges of ageing populations and pandemics, such as COVID-19, eHealth services are a vital part of an effective, inclusive, and robust health care system. This study demonstrates the presence of a significant digital divide among elderly PwD and suggests that public and private efforts should be made to increase the availability of ICT infrastructure. Training could also increase inclusion in this regard.

Factors Affecting the Acceptability of Technology in Health Care Among Older Korean Adults with Multiple Chronic Conditions: A Cross-Sectional Study Adopting the Senior Technology Acceptance Model

Purpose

Older adults experience challenges employing technology in their health-care management due to changes in cognitive and physical functions. This study aimed to investigate the acceptance of technology among older Korean adults with multiple chronic health conditions and examine factors associated with technology acceptance, adopting the senior technology acceptance model (STAM).

Patients and Methods

In total, 226 community-dwelling older adults with more than two chronic conditions participated in this study. We conducted a survey that covered demographics, gerontechnology self-efficacy, gerontechnology anxiety, facilitating conditions, self-reported health conditions, cognitive ability, social relationships, attitude toward life and satisfaction, physical functioning, and technology acceptance.

Results

Older Korean adults with multiple chronic health conditions scored moderately high for technology acceptance (25.36±5.28). There were significant differences in technology acceptance according to age (r=−0.241), cognitive ability (r=0.225), gerontechnology self-efficacy (r=0.323), and facilitating conditions (r=0.288). Only age and education were significant factors predicting technology acceptance (Adjusted R²=0.151, p<0.001).

Conclusion

Although older Korean adults with multiple chronic conditions displayed good technology acceptance, their age and education level predicted the level of acceptance. Given that some components of the STAM model have social and cultural relevance, it is necessary to conduct research across various cultures to better understand technology acceptance by older adults.

An evaluation of health workforce models addressing oral health in residential aged care facilities: A systematic review of the literature

BACKGROUND

In Australia and globally, there is an increasing problem of unmet oral health needs of older people above 65 residing in aged care facilities. Various workforce models have been trialled to implement oral health care programmes in aged care facilities, but the evidence behind these programmes and their underlying workforce models is not known.

OBJECTIVE

To systematically review the literature on the effectiveness, and economic feasibility of the current workforce models addressing oral care in aged care facilities.

METHODS

CINAHL, Cochrane CENTRAL, MEDLINE, EMBASE, EMB Reviews, NHS Economic Evaluation Database and grey literature were searched. Studies were included if they described an oral health workforce model with a clinical intervention and defined oral health outcome measures. Analysis was conducted using the NHMRC guidelines for scientific and economic evaluations.

RESULTS

Twenty-eight studies were included. Four distinct workforce models of care were identified. 60% of the studies demonstrated short-term effectiveness in clinical measures. Workforce models were similar in their effectiveness, with varying levels of quality within each model. Although three studies considered individual components of economic feasibility, only one provided a comprehensive economic analysis of both the costs and health outcomes.

CONCLUSIONS IMPLICATIONS OF FINDINGS

All workforce models of care had some positive impact on oral health for residents of aged care. Oral health should be included as a health focus in age care facilities. Future studies should include longer-term health outcomes with rigorous economic analysis to ensure sustainably delivered workforce models of care for oral health management within aged care.