Precision medicine in primary care: How GPs envision "old" and "new" forms of personalization.

Visions of precision or personalized medicine (PM) are gaining currency around the globe. While the potential of PM in specialist medicine has been in focus, primary care is also considered to be a fruitful area for the application of PM. "Low-tech" forms of personalization and attention to individual patients are already central features of primary care practice, and primary care thus constitutes an area in which "old" and "new" forms of personalization (may) come together.

Disentangling the impact of alternative payment models and associated service delivery models on quality of chronic care: A scoping review.

Payment reforms are frequently implemented alongside service delivery reforms, thus rendering it difficult to disentangle their impact. This scoping review aims to link alternative payment arrangements within their context of service delivery, to assess their impact on quality of chronic care, and to disentangle, where possible, the impact of payment reforms from changes to service delivery. A search of literature published between 2013 and 2022 resulted in 34 relevant articles across five types of payment models: capitation/global budget (n = 13), pay-for-coordination (n = 10), shared savings/shared risk (n = 6), blended capitation (n = 3), and bundled payments (n = 1).

Epistemic solidarity in medicine and healthcare.

In this article, I apply the concept of solidarity to collective knowledge practices in healthcare. Generally, solidarity acknowledges that people are dependent on each other in many respects, and it captures those support practices that people engage in out of concern for others in whom they recognise a relevant similarity. Drawing on the rich literature on solidarity in bioethics and beyond, this article specifically discusses the role that epistemic solidarity can play in healthcare.

Not all biases are bad: equitable and inequitable biases in machine learning and radiology.

The application of machine learning (ML) technologies in medicine generally but also in radiology more specifically is hoped to improve clinical processes and the provision of healthcare. A central motivation in this regard is to advance patient treatment by reducing human error and increasing the accuracy of prognosis, diagnosis and therapy decisions. There is, however, also increasing awareness about bias in ML technologies and its potentially harmful consequences.

Face Masks During the COVID-19 Pandemic: A Simple Protection Tool With Many Meanings.

Wearing face masks is recommended as part of personal protective equipment and as a public health measure to prevent the spread of coronavirus disease 2019 (COVID-19) pandemic. Their use, however, is deeply connected to social and cultural practices and has acquired a variety of personal and social meanings. This article aims to identify the diversity of sociocultural, ethical, and political meanings attributed to face masks, how they might impact public health policies, and how they should be considered in health communication.

Correction: Effectiveness of a Web-Based Tailored Intervention With Virtual Assistants Promoting the Acceptability of HPV Vaccination Among Mothers of Invited Girls: Randomized Controlled Trial.

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Dose-Response Relationship of a Web-Based Tailored Intervention Promoting Human Papillomavirus Vaccination: Process Evaluation of a Randomized Controlled Trial.

Background: In the Netherlands, human papillomavirus (HPV) vaccination uptake remains low. To improve informed decision making (IDM) and HPV vaccination acceptability, we systematically developed an interactive, web-based tailored intervention to which mothers of Dutch girls were invited to participate.

Objective: The aim of this study was to provide insight into the intervention's working mechanisms by evaluating (1) program use, (2) program acceptability, and (3) the relationship of program use with program acceptability and intervention effects (ie, dose-response relationship).

Systematically Developing a Web-Based Tailored Intervention Promoting HPV-Vaccination Acceptability Among Mothers of Invited Girls Using Intervention Mapping.

Currently, the eHealth field calls for detailed descriptions of theory-based interventions in order to support improved design of such interventions. This article aims to provide a systematic description of the design rationale behind an interactive web-based tailored intervention promoting HPV-vaccination acceptability. The 6-step Intervention Mapping (IM) protocol was used to describe the design rationale.

Effectiveness of a Web-Based Tailored Intervention With Virtual Assistants Promoting the Acceptability of HPV Vaccination Among Mothers of Invited Girls: Randomized Controlled Trial.

Background: In 2010, the human papillomavirus (HPV) vaccination was introduced in the Dutch National Immunization Program for 12-year-old girls, aiming to reduce the incidence of cervical cancer in women. HPV vaccination uptake turned out to be lower than expected: 61% versus 70%, respectively. Mothers were shown to play the most important role in the immunization decision about this vaccination.

Motivational and contextual determinants of HPV-vaccination uptake: A longitudinal study among mothers of girls invited for the HPV-vaccination.

Background: In the Netherlands, HPV-vaccination uptake among 12-year-old girls remains to be lower (61% in 2016) than expected. The present study is about 1) replicating the extent to which social-psychological determinants found in earlier cross-sectional studies explain HPV-vaccination intention, and 2) testing whether HPV-vaccination intention, as well as other social-psychological determinants, are good predictors of future HPV-vaccination uptake in a longitudinal design.

Methods: A random sample of mothers of girls invited for the vaccination in 2015 was drawn from the Dutch vaccination register (Praeventis) (N=36,000) and from three online panels (N=2483).