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BackgroundMedication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited. ObjectiveThe aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions. MethodsMEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient’s caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group. ResultsOf the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (P 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies “to teach medication management skills,” “to improve health care quality by coordinating medication adherence care between professionals,” and “to facilitate communication or decision making between patients and health care providers” also showed strong evidence for a positive effect. ConclusionsOverall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients’ treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.

BackgroundPatients are increasingly taking an active role in their health. In doing so, they combine both mass and interpersonal media to gratify their cognitive and affective needs (ie, convergence). Owing to methodological challenges when studying convergence, a detailed view of how patients are using different types of media for needs fulfillment is lacking. ObjectiveThe aim of this study was to obtain insight into the frequency of reported convergence, how convergence affects what posters write online, motives for posting, and the needs posters are trying to fulfill. MethodsUsing a hybrid method of content analysis and supervised machine learning, this study used naturally available data to fill this research gap. We analyzed opening posts (N=1708) of an online forum targeting cancer patients and their relatives (Kanker.nl). ResultsNearly one-third of the forum opening posts contained signs of convergence in mass or interpersonal media. Posts containing mass media references disclosed less personal information and were more geared toward community enhancement and sharing experiences compared to posts without convergence. Furthermore, compared to posts without signs of convergence, posts that included interpersonal media references disclosed more personal information, and posters were more likely to ask for the experiences of fellow users to fulfill their needs. Within posts containing signs of convergence, posts including interpersonal media references reported fewer shortages of information, disclosed more information about the disease, and were more active in seeking other posters’ experiences compared to posts containing mass media references. ConclusionsThe current study highlights the intertwining of media platforms for patients. The insights of this study can be used to adapt the health care system toward a new type of health information–seeking behavior in which one medium is not trusted to fulfill all needs. Instead, providers should incorporate the intertwinement of sources by providing patients with reliable websites and forums through which they can fulfill their needs.

BackgroundSince medication nonadherence is considered to be an important health risk, numerous interventions to improve adherence have been developed. During the past decade, the use of Internet-based interventions to improve medication adherence has increased rapidly. Internet interventions have the potential advantage of tailoring the interventions to the needs and situation of the patient. ObjectiveThe main aim of this systematic review was to investigate which tailored Internet interventions are effective in improving medication adherence. MethodsWe undertook comprehensive literature searches in PubMed, PsycINFO, EMBASE, CINAHL, and Communication Abstracts, following the guidelines of the Cochrane Collaboration. The methodological quality of the randomized controlled trials and clinical controlled trials and methods for measuring adherence were independently reviewed by two researchers. ResultsA total of 13 studies met the inclusion criteria. All included Internet interventions clearly used moderately or highly sophisticated computer-tailored methods. Data synthesis revealed that there is evidence for the effectiveness of Internet interventions in improving medication adherence: 5 studies (3 high-quality studies and 2 low-quality studies) showed a significant effect on adherence; 6 other studies (4 high-quality studies and 2 low-quality studies) reported a moderate effect on adherence; and 2 studies (1 high-quality study and 1 low-quality study) showed no effect on patients’ adherence. However, most studies used self-reported measurements to assess adherence, which is generally perceived as a low-quality measurement. In addition, we did not find a clear relationship between the quality of the studies or the level of sophistication of message tailoring and the effectiveness of the intervention. This might be explained by the great difference in study designs and the way of measuring adherence, which makes results difficult to compare. There was also large variation in the measured interval between baseline and follow-up measurements. ConclusionThis review shows promising results on the effectiveness of Internet interventions to enhance patients’ adherence to prescribed long-term medications. Although there is evidence according to the data synthesis, the results must be interpreted with caution due to low-quality adherence measurements. Future studies using high-quality measurements to assess medication adherence are recommended to establish more robust evidence for the effectiveness of eHealth interventions on medication adherence.

Introduction: Deprescribing fall-risk increasing drugs (FRIDs) is promising for reducing the risk of falling in older adults. Applying appropriate deprescribing in practice can be difficult due to the outcome uncertainties associated with stopping FRIDs. The ADFICE_IT intervention addresses this complexity with a clinical decision support system (CDSS) that facilitates optimum deprescribing of FRIDs by using a fall-risk prediction model, aggregation of deprescribing guidelines, and joint medication management. Methods: The development process of the CDSS is described in this paper. Development followed a user-centered design approach in which users and experts were involved throughout each phase. In phase I, a prototype of the CDSS was developed which involved a literature and systematic review, European survey (n = 581), and semi-structured interviews with clinicians (n = 19), as well as the aggregation and testing of deprescribing guidelines and the development of the fall-risk prediction model. In phase II, the feasibility of the CDSS was tested by means of two usability testing rounds with users (n = 11). Results: The final CDSS consists of five web pages. A connection between the Electronic Health Record allows for the retrieval of patient data into the CDSS. Key design requirements for the CDSS include easy-to-use features for fast-paced clinical environments, actionable deprescribing recommendations, information transparency, and visualization of the patient's fall-risk estimation. Key elements for the software include a modular architecture, open source, and good security. Conclusion: The ADFICE_IT CDSS supports physicians in deprescribing FRIDs optimally to prevent falls in older patients. Due to continuous user and expert involvement, each new feedback round led to an improved version of the system. Currently, a cluster-randomized controlled trial with process evaluation at hospitals in the Netherlands is being conducted to test the effect of the CDSS on falls. The trial is registered with ClinicalTrials.gov (date; 7-7-2022, identifier: NCT05449470). [ABSTRACT FROM AUTHOR]

A minority of the patients who search for online health information report discussing or having an intention to discuss this information with their healthcare provider. Not discussing online health information inhibits the provision of patient-centered care and limits the healthcare provider's possibility to tackle misinformation. Within the confines of the linguistic model of patient participation, we first provide an overview of barriers to discussing online health information during consultations. Second, we pinpoint which of these barriers indicate a need for improvement. Participants from the Netherlands (N = 300) completed a survey that measured the communication barriers (N = 15) as identified based on previous literature and interviews. Using the QUality Of Care Through the patient's Eyes (QUOTE) approach, we measured the extent to which a specific factor was a barrier ("importance") and assessed whether the barrier would withhold patients from discussing online health information ("performance"). Scores on importance and performance were multiplied to identify which barriers show the most significant room for improvement. Especially "preferring to discuss other matters" often occurred. Nine barriers showed a moderate need for improvement. We discuss the implications of these findings for healthcare providers in consultations. Future research should include observational data to analyze communication barriers to discussing online health information in consultations. [ABSTRACT FROM AUTHOR]

Understanding why patients seek informational and/or emotional support online is fundamental to providing patients with accurate and reliable support that is tailored to their needs, preferences, and personal situation. Based on the stress and coping theory and uses and gratifications theory (UGT), this study aimed to identify theoretically-founded profiles of cancer patients differing in their motives for seeking informational and/or emotional support online, and to compare the profiles in terms of patients' psychological and background characteristics, and perception of health care services. Hierarchical cluster analysis was conducted, using questionnaire data from patients visiting a large Dutch health website (N = 181). This revealed three distinctive profiles, i.e., overall seekers (n = 83, 46.0%), occasional information seekers (n = 83, 46.0%), and contact exchangers (n = 15, 8.0%). Patients across these profiles differed in their eHealth literacy, with the contact exchangers being more eHealth literate than the overall seekers and occasional information seekers. The results can be used to create awareness among health care providers, web designers, and patient organizations on different types of cancer patients with different motives for seeking informational and/or emotional support online, and help them to tailor recommendations to and development of (online) sources that fit patients' needs. Future research could further investigate the integration of stress and coping theory with UGT by acknowledging the interplay of different coping strategies and different gratifications. [ABSTRACT FROM AUTHOR]

Purpose: The pharmacy team has been shifting its role from primarily dispensing medications to providing patient-centred pharmaceutical care. Establishing a trust relation between the pharmacy team and their patients is fundamental for this new role. This study aimed to (i) identify the level of trust in the pharmacy team among patients with asthma and/or COPD, (ii) assess whether the level of trust patients have in pharmacists differs from their trust in pharmacy technicians, and (iii) identify factors that contribute to building trust in the pharmacy team.Patients and Methods: First, a focus group with six patients with asthma and/or COPD was conducted to explore which aspects they considered significant for establishing trust in the pharmacy team. Subsequently, these insights were used to develop an online questionnaire. A link to the online questionnaire was distributed among patients with asthma and/or COPD. Data were analysed using exploratory factor analyses to identify underlying constructs for trust. Regression analyses were conducted to evaluate whether these constructs affected trust (scale 1– 10) in the pharmacy team.Results: A total of 290 patients completed the questionnaire. On average, they rated their trust in the pharmacy team with a score of 7.4 out of 10 (SD: 1.5), almost identical to their trust in the pharmacist and pharmacy technician. Patient trust in pharmacy teams is influenced by their perception of engagement, expertise in medication-related matters, and effective communication.Conclusion: Trust in the pharmacy team was observed as moderately high, indicating that there is room for improvement. Due to the changing role of the pharmacy team, its members should strive to enhance their patient-centred skills ensuring ongoing efforts to build and maintain trust with patients. [ABSTRACT FROM AUTHOR]

Background: Falls are the leading cause of injury-related mortality and hospitalization among adults aged ≥ 65 years. An important modifiable fall-risk factor is use of fall-risk increasing drugs (FRIDs). However, deprescribing is not always attempted or performed successfully. The ADFICE_IT trial evaluates the combined use of a clinical decision support system (CDSS) and a patient portal for optimizing the deprescribing of FRIDs in older fallers. The intervention aims to optimize and enhance shared decision making (SDM) and consequently prevent injurious falls and reduce healthcare-related costs. Methods: A multicenter, cluster-randomized controlled trial with process evaluation will be conducted among hospitals in the Netherlands. We aim to include 856 individuals aged ≥ 65 years that visit the falls clinic due to a fall. The intervention comprises the combined use of a CDSS and a patient portal. The CDSS provides guideline-based advice with regard to deprescribing and an individual fall-risk estimation, as calculated by an embedded prediction model. The patient portal provides educational information and a summary of the patient's consultation. Hospitals in the control arm will provide care-as-usual. Fall-calendars will be used for measuring the time to first injurious fall (primary outcome) and secondary fall outcomes during one year. Other measurements will be conducted at baseline, 3, 6, and 12 months and include quality of life, cost-effectiveness, feasibility, and shared decision-making measures. Data will be analyzed according to the intention-to-treat principle. Difference in time to injurious fall between the intervention and control group will be analyzed using multilevel Cox regression. Discussion: The findings of this study will add valuable insights about how digital health informatics tools that target physicians and older adults can optimize deprescribing and support SDM. We expect the CDSS and patient portal to aid in deprescribing of FRIDs, resulting in a reduction in falls and related injuries. Trial registration: ClinicalTrials.gov NCT05449470 (7-7-2022). [ABSTRACT FROM AUTHOR]