Do patients read emails from their physician containing tips on improving lifestyle habits? A pilot study

Reiter, Adam; Tov, Elad Yom; Hochberg, Irit

doi:10.1016/j.ijmedinf.2022.104967

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…It is possible that some skim through their messages without paying much attention to the content (see Ref. [ 46 ] for a recent pilot study regarding patients’ reading rates of emails sent by their physicians). The random assignment to different groups should attenuate the potential effects of this limitation.…”

Section: Discussionmentioning

confidence: 99%

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

Maltz,

Rashkovich,

Sarid

et al. 2024

JMIR Public Health Surveill

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Background Health care authorities often use text messages to enhance compliance with medical recommendations. The effectiveness of different message framings has been studied extensively over the past 3 decades. Recently, health care providers have begun using digital media platforms to disseminate health-related messages. Objective This study aimed to examine the effectiveness of some of the most widely used message framings on the uptake rates of medical checkups. Methods This study used a large-scale digital outreach campaign conducted by Maccabi Healthcare Services (MHS) during 2020-2021, involving a total of 113,048 participants. MHS members aged 50-74 years were invited to take their recommended medical actions from the following list: human papillomavirus (HPV), mammography, abdominal aortic aneurysm, fecal occult blood test (FOBT), and pneumococcal vaccination. Each member was randomly assigned to receive 1 of 6 message framings: control (neutrally framed; n=20,959, 18.5%), gains (benefits of compliance; n=20,393, 18%), losses (negative consequences of noncompliance; n=15,165, 13.4%), recommendation (a recommendation by an authoritative figure, in this context by a physician; n=20,584, 18.2%), implementation intentions (linking potential outcomes to future reactions; n=20,701, 18.3%), and empowerment (emphasizing personal responsibility for maintaining good health; n=15,246, 13.5%). The time frames for measuring a successful intervention were 14 days for scheduling screenings (ie, HPV, mammography, or abdominal aortic aneurysm), 30 days for performing the FOBT, and 60 days for receiving pneumococcal vaccination. We also examined the effectiveness of media channels (text message or email) on uptake rates and whether the subject-line length is correlated with message-opening rates. Results No significant effect of message framing on uptake rates of medical checkups was observed. The rates of appointments for screening ranged from 12.9% to 14.1% across treatments. Based on a chi-square test, there was no evidence to reject the null hypothesis that these compliance rates are independent of the treatments (P=.35). The uptake rates for the FOBT and pneumococcal vaccination ranged from 23.3% to 23.8% across treatments, and we could not reject the hypothesis that they are independent of the treatments (P=.88). We also found that emails are more effective than text messages (P<.001) and that the subject-line length is negatively correlated with message-opening rates. Conclusions No evidence was found for an effect of the 5 message framings on uptake rates of medical checkups. To enhance compliance rates, public health officials may consider alternative framings. Furthermore, media channels and the subject-line length should be given careful consideration in the planning stages of health care campaigns. Trial Registration AEA RCT Registry AEARCTR-0006317; https://www.socialscienceregistry.org/trials/6317/history/201365

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Section: Discussionmentioning

confidence: 99%

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

Maltz,

Rashkovich,

Sarid

et al. 2024

JMIR Public Health Surveill

View full text Add to dashboard Cite

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“…Specifically, teleconsultation scenarios in the form of videoconferencing are excellent [ 68 ], but require high levels of equipment and patient finances [ 51 , 69 ]. Although telephone and email follow-ups are more concise and convenient [ 70 ], visual diagnosis of wounds is lacking and the effectiveness of the interaction is difficult to ensure; for example, nurses are frequently unable to validate that patients have read and understood the content of the email [ 71 ]. Furthermore, digital platforms used for in-hospital patient pressure injury evaluation and management have shown promise in improving patients’ PUSH-score, but evidence from these studies is limited.…”

Section: Discussionmentioning

confidence: 99%

Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis

Bai,

Zhang,

Jiao

et al. 2024

J Med Internet Res

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Background: Chronic wounds have a serious impact on patients' quality of life and place a significant strain on global finances and healthcare systems. Mobile health (mHealth) technology in various forms has been proposed as an important modality for the management of chronic wounds. However, existing studies on the efficacy of mHealth interventions for chronic wound management produce inconclusive results due to the complexity of wound etiology and the diversity of mHealth delivery methods. Objective:The purpose of this study was to conduct a systematic review and meta-analysis of the current evidence on mHealth in the management of patients with chronic wounds, and determine whether mHealth-supported interventions were more beneficial for chronic wound outcomes than conventional care.Methods: Eligible randomized controlled trials (RCTs), cohort studies, and quasi-experimental studies published from the date of inception to December 1,2022, were identified by searching Pubmed, Web of Science, EMBASE, Cochrane Library, CINAHL, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Weipu Database (VIP), and Chinese Biomedical Database (CBM). Studies were evaluated independently by two researchers and audited by a third researcher. We assessed the quality of each RCTs, cohort study, and quasi-experimental study separately using the Cochrane risk of bias tool, ROBINS-I, and the Joanna Briggs Institute Critical Appraisal tools checklists. Continuous and dichotomous data were extracted for relevant outcomes and analyzed in a random effect meta-analysis model using RevMan5.4.1 software. Results:Twenty-four studies with 7945 patients were included in this systematic review, while only 19 studies with 6355 patients were included in the meta-analysis. The combined effect estimate showed no significant differences between the mHealth and control groups in terms of wound healing (RR 1.15,95% CI 0.94-1.40; P=.17), adverse events (RR 0.54, 95% CI 0.26-1.10; P=.09), or all-cause mortality around one year (RR 1.19,95% CI 0.66-2.14; P=.57). Compared with the control group, the use of mHealth was associated with significant changes in PUSH-score (MD -2.37, 95% CI -2.82 to -1.92; P<.001). Although meta-analysis was not possible in terms of wound size, cost analysis, patient satisfaction, and wound reporting rates, most studies still demonstrated that mHealth was not inferior to conventional care in managing chronic wounds. Conclusions:The findings of our study demonstrate the viability of adopting mHealth to treat chronic wounds. However, larger, high-quality randomized controlled trials are needed to strengthen the evidence, and further clinical effectiveness research needs to be done in greater detail. Clinical Trial: PROSPERO CRD42023392415; https://www.crd.york.ac.uk/prospero/display_record.php?ID=392415

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Do patients read emails from their physician containing tips on improving lifestyle habits? A pilot study

Cited by 2 publications

References 18 publications

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis

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