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BackgroundAs the use of technology to deliver health services is increasing rapidly and has further intensified during the COVID-19 pandemic, these initiatives may fail if ethical impacts are not fully identified and acted upon by practitioners. Ignoring the ethical impacts of information and communication technology health service delivery creates an unintended risk for patients and can lead to reduced effectiveness, noncompliance, and harm, undermining the best intentions of governments and clinicians. ObjectiveOur aim was to explore how ethical considerations or impacts may be different, greater, or more variable in information and communication technology methods versus face-to-face health care delivery models, and how they may be applied in practice. MethodsWe undertook a systemic literature review to provide a critical overview of existing research into the incorporation of ethical principles into telehealth practice. Six databases were searched between March 2016 to May 2016 and again in December 2020 to provide the benefit of currency. A combination of broad terms (“ethics,” “ethical,” “health,” and “care”) with the restrictive terms of “telehealth” and “telemedicine” was used in keyword searches. Thematic analysis and synthesis of each paper was conducted, aligned to the framework developed by Beauchamp and Childress. ResultsFrom the 49 papers reviewed, authors identified or discussed the following ethical principles in relation to telehealth practice: autonomy (69% of authors, 34/49), professional–patient relationship (53% of authors, 26/49), nonmaleficence (41% of authors, 20/49), beneficence (39%, of authors, 19/49), and justice (39% of authors, 19/49). ConclusionsAlthough a small number of studies identified ethical issues associated with telehealth practice and discussed their potential impact on service quality and effectiveness, there is limited research on how ethical principles are incorporated into clinical practice. Several studies proposed frameworks, codes of conduct, or guidelines, but there was little discussion or evidence of how these recommendations are being used to improve ethical telehealth practice.

Objective: The multiyear diagnostic journey for young onset dementia (YOD) is fraught with clinical and personal difficulties and poses significant uncertainty for people living with YOD and their families. Most existing research has examined the personal and/or clinical barriers to a timely diagnosis of YOD, but less evidence exists regarding system level factors. The aim of this study is to investigate health professionals' insights for a timely and accurate YOD diagnosis at the system level. Design: Grounded theory qualitative study. Setting and Participants: Semi-structured in-depth interviews with 11 health professionals working across varied healthcare settings were conducted online via videoconference. Measurements: Data were contrasted and compared within and between transcripts using the constant comparative method. Results: Seven themes emerged about barriers and facilitators for timely and accurate diagnosis of YOD: (1) stigma and awareness of YOD; (2) mismatched policy; (3) fractured health system; (4) inadequate pathways for YOD diagnostic care; (5) effective use of General Practitioners; (6) inequitable access and fragmented service navigation; (7) diverse and marginalised groups. Conclusion: A complex web of systemic and system level barriers contributes to the delay of accurate and timely diagnosis for YOD. Diverse and marginalised groups experience greater inequitable disadvantage regarding YOD diagnostic care. There is an urgent need to focus on YOD diagnosis facilitators at the broader health system level. [ABSTRACT FROM AUTHOR]

Objective To explore whether psychosocial or demographic factors are associated with early dropout from pain self-management in a rural, low–socioeconomic status population. Design Secondary analysis of retrospective data. Setting Multidisciplinary pain clinic located in an outer regional area of Australia. Subjects One hundred eighty-six people attending a public community health center with chronic noncancer pain (mean age 54.9 years; 58.1% women; 81.7% in receipt of government benefit as their primary source of income). Methods Bivariate analysis and logistic regression, with early dropout as the dependent variable and a range of demographic and psychological independent variables. Results Following bivariate analysis, early dropout was significantly associated (P  < 0.05) with male gender, younger age, history of substance use, being a past victim of assault/abuse, receiving unemployment or disability benefit, having literacy difficulties, higher pain catastrophizing score, higher daily opioid dose, and not holding a multifactorial belief about the cause of pain. Logistic regression analysis resulted in three significant predictors of dropout: substance use history (P  = 0.002), past victim of assault or abuse (P  = 0.029), high pain catastrophising score (P  = 0.048); and one of engagement: holding a multifactorial belief about pain cause (P  = 0.005). Conclusions In a rural, low–socioeconomic status population, addressing social stressors related to lifetime adversity may be important to increasing engagement in pain self-management. Lack of attention to these factors may increase health inequity among those most disabled by chronic pain. Further research into dropout and engagement, especially among disadvantaged populations, is recommended. [ABSTRACT FROM AUTHOR]