Successful implementation of patient engagement (PE) and mHealth could reduce inappropriate catheter use and Catheter-associated urinary tract infections (CAUTIs). Insight into patient acceptance, impact on PE and quality of care, potential barriers and facilitators to the implementation of an mHealth intervention could improve the impact of both current and future infection prevention programs.

Implementation of the smartphone app “Participatient” was evaluated in four Dutch hospitals. Patient questionnaires assessed the acceptability of the app and its impact. Healthcare professionals (HCPs) were interviewed to evaluate the implementation process.

Acceptability constructs were evaluated positively. PE and quality of care were rated high before and after implementation. All 22 HCPs perceived barriers, eg incomplete training for HCPs and unclear communication on roles; and lack of promotion by ward professionals. The principal facilitator was the HCPs’ positive attitude toward PE.

App users perceived the Participatient app as acceptable, which fulfills a precondition for implementation. The implementation strategy evaluated in the present study was designed to fulfill all the conditions considered crucial for implementation. Nevertheless, the level of adoption remained low, and HCPs still imputed their failure to promote the use of the app to insufficiencies in training and communication and to a misfit between the app and their existing workflow. These findings underscore the need to verify whether there may be additional, less evident barriers to the adoption of mHealth tools that support PE in general, and more specifically, to the adoption of Participatient to engage patients in preventing CAUTIs.

Action mechanisms of therapeutic alliance in stepped and digital interventions remain unclear.

(a) To compare the development of therapeutic alliance between psychosocial treatment as usual (PTAU) and a stepped digital intervention designed to prevent distress in cancer patients; (b) to analyse the level of agreement between patients’ and therapists’ therapeutic alliance ratings; and (c) to explore variables associated with therapeutic alliance in the digital intervention.

A multicentre randomised controlled trial with 184 newly diagnosed breast cancer women was conducted. Patients were assigned to digital intervention or PTAU. Therapeutic alliance was assessed at 3, 6 and 12 months after inclusion using the working alliance inventory for patients and therapists. Age, usability (system usability scale), satisfaction (visual analogue scale), type and amount of patient–therapist communication were analysed as associated variables.

Patients and therapists established high therapeutic alliance in the digital intervention, although significantly lower compared with PTAU. The development of patients’ therapeutic alliance did not differ between interventions, unlike that of the therapists. No agreement was found between patients’ and therapists’ therapeutic alliance ratings. Patients’ therapeutic alliance was associated with usability and satisfaction with app, whereas therapists’ therapeutic alliance was associated with satisfaction with monitoring platform.

A stepped digital intervention for cancer patients could develop and maintain strong therapeutic alliance. Neither the type nor amount of communication affected patients’ therapeutic alliance, suggesting that flexible and available digital communication fosters a sense of care and connection. The association between usability and satisfaction with digital tools highlights their importance as key therapeutic alliance components in digital settings.

Behaviour Change Communication (BCC) intervention programmes often lack documentation of successful processes. This manuscript aims to describe the development of Program Impact Pathway (PIP) using Theory of Change (ToC) approach for a mHealth BCC intervention titled ‘Mobile Solutions Aiding Knowledge for Health Improvement (M-SAKHI)’ aimed at reducing stunting in infants at 18 months of age.

The PIP was developed using ToC to design the intervention and plan its implementation. Literature review and data from previous pilots helped to identify health service gaps that needed to be addressed by the PIP of this intervention.

M-SAKHI was implemented in 244 villages under governance of forty primary health centres of Nagpur and Bhandara districts of eastern Maharashtra in central India.

The study investigators and the public health stakeholders participated in developing the PIP. M-SAKHI evaluation study recruited 2501 pregnant women who were followed up through delivery until their infants were 18 months old.

The PIP was developed, and it identified the following pathways for the final impact: (1) improving maternal and infant nutrition, (2) early recognition of maternal and infant danger signs, (3) improving access and utilisation to healthcare services, (4) improving hygiene, sanitation and immunisation practices, and (5) improving implementation and service delivery of community health workers through their training, monitoring and supervision in real time.

This paper will illustrate the significance of development of PIP for M-SAKHI. It can aid other community-based programmes to design their PIP for nutrition-based BCC interventions.

This study explores the experiences of participants receiving a mobile-based brief intervention (BI) for hazardous drinking in India, to determine characteristics that influenced engagement and examine perceived reasons for change in alcohol consumption.

Semi-structured interviews were conducted with 10 adult hazardous drinkers who received a mobile-based BI in the intervention arm of a pilot randomised control trial. Data were coded through an iterative process and analysed using thematic analysis.

Study participants reported a positive experience, with factors such as customised intervention delivery and personal motivation facilitating their engagement. Participants reported a reduction in quantity and frequency of alcohol use. This was credited to the intervention, particularly, its provision of health-related information, goal-setting content and strategies to manage drinking. Apart from alcohol reduction, participants reported improvements in diet, lifestyle, wellbeing, and familial relations.

By providing a context to explain the impact of the intervention, the learnings from this study can be used to strengthen the implementation of mobile-based interventions. This study outlines the scope for further research in digital health, such as Internet-based health interventions, and incorporating digital interventions within the ambit of existing health care programmes.

Technology-based interventions (TBIs) are a useful approach when attempting to provide therapy to more patients with psychosis.

Randomized controlled trials of outcomes of TBIs v. face-to-face interventions in psychosis were identified in a systematic search conducted in PubMed/Ovid MEDLINE. Data were extracted independently by two researchers, and standardized mean changes were pooled using a three-level model and network meta-analysis.

Fifty-eight studies were included. TBIs complementing treatment as usual (TAU) were generally superior to face-to-face interventions (g = 0.16, p ≤ 0.0001) and to specific outcomes, namely, neurocognition (g = 0.13, p ≤ 0.0001), functioning (g = 0.25, p = 0.006), and social cognition (g = 0.32, p ≤ 0.05). Based on the network meta-analysis, the effect of two TBIs differed significantly from zero; these were the TBIs cognitive training for the neurocognitive outcome [g = 0.16; 95% confidence interval (CI) 0.09–0.23] and cognitive behavioral therapy for quality of life (g = 1.27; 95% CI 0.46–2.08). The variables educational level, type of medication, frequency of the intervention, and contact during the intervention moderated the effectiveness of TBIs over face-to-face interventions in neurocognition and symptomatology.

TBIs are effective for the management of neurocognition, symptomatology, functioning, social cognition, and quality of life outcomes in patients with psychosis. The results of the network meta-analysis showed the efficacy of some TBIs for neurocognition, symptomatology, and quality of life. Therefore, TBIs should be considered a complement to TAU in patients with psychosis.

There has been a lack of health technology assessment (HTA) methods for novel digital health technologies (DHTs) such as mHealth, artificial intelligence, and robotics in Finland. The Digi-HTA method has been developed for this purpose. The aim of this study is to determine whether it would be possible to use Digi-HTA recommendations to support healthcare decision-makers. Secondly, from the perspective of companies offering different types of DHT products, this study assesses the suitability of using the Digi-HTA framework to perform HTAs for their products.

Feedback about Digi-HTA recommendations was collected from healthcare professionals. DHT companies provided input about the Digi-HTA framework. Data were collected via a web-based survey and were analyzed using qualitative methods.

Of the twenty-four healthcare professional respondents, twenty said that the Digi-HTA recommendations contained all the necessary information, and twenty-one found them useful for their work. Respondents hoped that the Digi-HTA recommendations would be better integrated into the decision-making processes and healthcare professionals would be more informed about this new HTA process. The questions of the Digi-HTA framework were applicable for different DHT products based on the responses from DHT companies (n = 8).

According to the study participants, although the Digi-HTA recommendations include clear and beneficial information, their integration into healthcare decision-making processes should be improved. Responses from DHT companies indicate that the Digi-HTA framework would be an appropriate tool for performing assessments for their products. To generalize the findings of this study, more comprehensive studies will be needed.