Living positive: eHealth for people with HIV and depressive symptoms

This dissertation contains the results of an RCT into the effectiveness of an online self-help intervention for people living with HIV (PLWH) and depressive symptoms. Many PLWH suffer from depressive symptoms. Online interventions to treat depression may have benefits, such as less perceived stigma, a large reach and high accessibility. The online self-help intervention that we investigated is based on cognitive behavioral therapy and contains 4 components: stimulating activities, relaxation exercises, changing negative thoughts and goal attainment. Two meta-analyses were conducted and the results point to the effectiveness of psychosocial interventions for PLWH to improve depressive symptoms, anxiety symptoms, quality of life, psychological well-being, and medication adherence. The most important result of the RCT was that the intervention together with telephone coaching is effective in reducing depressive symptoms, compared to an attention-only control group. It was also found that the intervention may be effective for all PLWH, regardless of certain baseline characteristics. Furthermore, behavioral activation and goal reengagement were found to be mediators of the intervention effect. Also, the intervention is likely to be cost-effective compared to attention only. As eHealth interventions have benefits compared to face-to-face interventions, they should be more widely implemented in the mental healthcare for PLWH.AidsfondsStress and Psychopatholog

A systematic review on the use of mHealth to increase physical activity in older people

Stress and Psychopatholog

Long‑term effectiveness of an online self‑help intervention for people with HIV and depressive symptoms

Stress and Psychopatholog

Psychosocial interventions enhance HIV medication adherence: a systematic review and meta-analysis

About 40 per cent of people living with HIV do not sufficiently adhere to their medication regimen, which adversely affects their health. The current meta-analysis investigated the effect of psychosocial interventions on medication adherence in people living with HIV. Databases were systematically searched, resulting in 43 included randomized controlled trials. Study and intervention characteristics were investigated as moderators. The overall effect size indicates a small to moderate positive effect (Hedges' g = 0.37) of psychosocial interventions on medication adherence in people living with HIV. No evidence for publication bias was found. This meta-analysis study concludes that various psychosocial interventions can improve medication adherence and thereby the health of people living with HIV.Stress and Psychopatholog

An internet-based self-help intervention for people with HIV and depressive symptoms: Study protocol for a randomized controlled trial.

FSW - Self-regulation models for health behavior and psychopathology - ou

Exploring Mediators of a Guided Web-Based Self-Help Intervention for People With HIV and Depressive Symptoms: Randomized Controlled Trial

Multivariate analysis of psychological dat

Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data

Stress and Psychopatholog

E-health voor mensen met COPD: een scoping review

Stress and Psychopatholog

The Benefits of Psychosocial Interventions for Mental Health in People Living with HIV: A Systematic Review and Meta-analysis

Public Health and primary carePrevention, Population and Disease management (PrePoD

SERIES:eHealth in primary care. Part 2: Exploring the ethical implications of its application in primary care practice

Background: eHealth promises to increase self-management and personalised medicine and improve cost-effectiveness in primary care. Paired with these promises are ethical implications, as eHealth will affect patients' and primary care professionals' (PCPs) experiences, values, norms, and relationships.Objectives: We argue what ethical implications related to the impact of eHealth on four vital aspects of primary care could (and should) be anticipated.Discussion: (1) EHealth influences dealing with predictive and diagnostic uncertainty. Machine-learning based clinical decision support systems offer (seemingly) objective, quantified, and personalised outcomes. However, they also introduce new loci of uncertainty and subjectivity. The decision-making process becomes opaque, and algorithms can be invalid, biased, or even discriminatory. This has implications for professional responsibilities and judgments, justice, autonomy, and trust. (2) EHealth affects the roles and responsibilities of patients because it can stimulate self-management and autonomy. However, autonomy can also be compromised, e.g. in cases of persuasive technologies and eHealth can increase existing health disparities. (3) The delegation of tasks to a network of technologies and stakeholders requires attention for responsibility gaps and new responsibilities. (4) The triangulate relationship: patient-eHealth-PCP requires a reconsideration of the role of human interaction and 'humanness' in primary care as well as of shaping Shared Decision Making.Conclusion: Our analysis is an essential first step towards setting up a dedicated ethics research agenda that should be examined in parallel to the development and implementation of eHealth. The ultimate goal is to inspire the development of practice-specific ethical recommendations