Journal of Telemedicine and Telecare最新文献

{"title":"The effectiveness and cost-effectiveness of a virtual Hospital in the Home service for COVID-19 infection: A cohort study and modelled decision analysis.","authors":"Linh K Vo, Michelle J Allen, Steven M McPhail, Shannon Wallis, Kelly McGowan, Kate Atkinson, Hannah E Carter","doi":"10.1177/1357633X251340262","DOIUrl":"https://doi.org/10.1177/1357633X251340262","url":null,"abstract":"<p><p>IntroductionThis paper estimates the effectiveness and cost-effectiveness of a Hospital in the Home (HITH) service using virtual care technology to provide home-based care for COVID-19 patients with moderate symptoms in Queensland, Australia.MethodsA cohort study was conducted to analyse data of all patients admitted to the virtual COVID-19 HITH service between December 2021 and November 2022. A decision tree model was developed to compare of the cost-effectiveness of this service with a hypothetical usual care cohort admitted to a conventional physical ward from the perspective of the Australian health system. Comparator cohort data were sourced from published literature. Base-case analysis employed a 3-month time horizon with an additional lifetime scenario analysis. Quality-adjusted life-years (QALYs) were used as the measure of effectiveness. Sensitivity analyses were performed to assess the robustness of the model.ResultsThe virtual COVID-19 HITH service saved 15,273 bed days. The cost-effectiveness analysis indicated the virtual COVID-19 HITH model was dominant, resulting in an additional 0.015 QALYs and a cost saving of $201 per patient compared to usual care. The incremental cost-effectiveness ratio was most sensitive to the cost of operating the virtual HITH. When all uncertainties were considered, there was 74% likelihood that the virtual HITH model of care was cost-effective, assuming a willingness to pay of $28,033/QALY.DiscussionHITH services incorporating virtual care modalities replicating the systems, staffing, and daily routines of a hospital ward are likely to be an effective and cost-effective intervention to expand inpatient care capacity.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"1357633X251340262"},"PeriodicalIF":3.5,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Opportunities for clinical decision support targeting medication safety in remote primary care management of chronic kidney disease: A qualitative study in Northern Australia.","authors":"Madeleine Sa Tan, Bhavini K Patel, Elizabeth E Roughead, Michael Ward, Stephanie E Reuter, Gregory Roberts, Andre Q Andrade","doi":"10.1177/1357633X231204545","DOIUrl":"10.1177/1357633X231204545","url":null,"abstract":"<p><p>IntroductionThis study aimed to identify opportunities for clinical decision support targeting medication safety in remote primary care, by investigating the relationship between clinical workflows, health system priorities, cognitive tasks, and reasoning processes in the context of medicines used in people with chronic kidney disease (CKD).MethodsThis qualitative study involved one-on-one, semistructured interviews. The participants were healthcare professionals employed in a clinical or managerial capacity with clinical work experience in a remote health setting for at least 1 year.ResultsTwenty-five clinicians were interviewed. Of these, four were rural medical practitioners, nine were remote area nurses, eight were Aboriginal health practitioners, and four were pharmacists. Four major themes were identified from the interviews: (1) the need for a clinical decision support system to support a sustainable remote health workforce, as clinicians were \"constantly stretched\" and problems may \"fall through the cracks\"; (2) reliance on digital health technologies, as medical staff are often not physically available and clinicians-on-duty usually \"flick an email and give a call so that I can actually talk it through to our GP\"; (3) knowledge gaps, as \"it takes a lot of mental space\" to know each patient's renal function and their medication history, and clinicians believe \"mistakes can be made\"; and (4) multiple risk factors impacting CKD management, including clinical, social and behavioural determinants.ConclusionsThe high prevalence of CKD and reliance on digital health systems in remote primary health settings can make a clinical decision support system valuable for supporting clinicians who may not have extensive experience in managing medicines for people with CKD.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"656-666"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12095874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41218048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic and socioeconomic disparities in the hybrid ophthalmology telemedicine model.","authors":"Manal Dia, Samaneh Davoudi, Nedda Sanayei, Diana C Martin, Melanie M Albrecht, Steven Ness, Manju Subramanian, Nicole Siegel, Xuejing Chen","doi":"10.1177/1357633X231211353","DOIUrl":"10.1177/1357633X231211353","url":null,"abstract":"&lt;p&gt;&lt;p&gt;ImportanceAs telemedicine use expands, it is important to evaluate demographic and socioeconomic disparities among patients receiving ophthalmic care through new hybrid telemedicine models.ObjectiveTo evaluate whether there are demographic and socioeconomic disparities in the delivery of the hybrid telemedicine model.DesignRetrospective, cross-sectional, case-control analysis of patient encounters from April to December 2020.SettingA single, academic, hospital-based eye clinic in Boston, Massachusetts.MethodsElectronic medical records of all patient encounters from April to December 2020 were reviewed and categorized into hybrid, virtual-only, and standard in-person visits. Patient-level data for all visits were extracted including age, sex, race/ethnicity, primary language, Area Deprivation Index (ADI), insurance type, and marital status. Visit-level data for all hybrid visits were also extracted from the medical record including the visit dates and patient adherence. Demographics for the cohort of patients with at least one no-show visit were compared with demographics for the cohort of patients who only had completed visits. The primary study outcomes were the differences in demographic characteristics between the hybrid visit show and no-show groups. The secondary outcomes included demographic characteristics of patients who did not complete their hybrid visit versus a time-matched cohort of patients who did not complete their standard in-person visit. Continuous variables for patient characteristics were compared with independent samples &lt;i&gt;t&lt;/i&gt;-tests and categorical variables were compared using Pearson chi-square tests. Multivariate logistic regression was used to examine the differences between the cohorts. Variables with missing values other than suppressed ADI values were imputed using multiple imputations by chained equations.ResultsOf a total of 1025 patients who were scheduled for a hybrid visit, 145 (14.1%) patients failed to complete their visit. Primary language and insurance were found to be statistically different between patients who completed and did not complete their hybrid visits. More English speakers and fewer Haitian Creole speakers completed their hybrid visits (&lt;i&gt;p&lt;/i&gt; = 0.007) while more patients with private insurance and fewer patients with Medicaid completed their hybrid telemedicine visits (&lt;i&gt;p&lt;/i&gt; = 0.026). No associations were found between hybrid telemedicine visit adherence and age, sex, race/ethnicity, marital status, or ADI. When the 145 patients who failed to complete their hybrid visits were compared to a time-matched cohort of patients who failed to complete their standard in-person visit, we found that patients who missed hybrid visits were similar to those who missed standard in-person visits except for patients insured by Medicare. These patients were more likely to miss a hybrid visit than a standard in-person visit (Odds Ratio 2.199, 95% confidence interval 1.136-4.259, &lt;i&gt;p&lt;/i&gt; = 0.019). No","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"697-704"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92157141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the ethical and practical challenges of large language models in telehealth.","authors":"Aaron Lawson McLean","doi":"10.1177/1357633X231205060","DOIUrl":"10.1177/1357633X231205060","url":null,"abstract":"","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"752-753"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41158162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telehealth versus face-to-face delivery of cognitive behavioural therapy for insomnia: A systematic review and meta-analysis of randomised controlled trials.","authors":"Anna Mae Scott, Ruwani Peiris, Tiffany Atkins, Magnolia Cardona, Hannah Greenwood, Justin Clark, Paul Glasziou","doi":"10.1177/1357633X231204071","DOIUrl":"10.1177/1357633X231204071","url":null,"abstract":"<p><p>ObjectiveThis systematic review and meta-analysis compared the effectiveness of the delivery of care to patients with insomnia via telehealth to its delivery face-to-face.MethodsWe searched Medline, Embase, and Cochrane CENTRAL from inception to 11 January 2023, and conducted a citation analysis on 13 June 2023. No language restrictions were imposed. We included randomised controlled trials. Where feasible, mean differences were calculated; we used a random effects model.ResultsFour trials (239 patients) were included. There were no significant differences between telehealth and face-to-face for insomnia severity scores shortly post-intervention (MD 1.13, 95% CI -0.29-2.55) or at 3 months (mean difference (MD) 1.79, 95% CI -0.01-3.59). There were no differences in Short Form-36 physical and mental scores, Work and Social Adjustment scores, and sleep quality components. Depression scores did not differ post-intervention or at 3 months (MD 0.42, 95% CI -2.42-3.26). Functioning likewise did not differ post-intervention or at 3 months (standardised mean difference (SMD) 0.15, 95% CI -0.37-0.67, <i>P</i> = 0.58). Treatment satisfaction did not differ (one trial) or favoured the face-to-face group (one trial).ConclusionsTelehealth may be a viable alternative to the face-to-face provision of cognitive behavioural therapy for insomnia to patients with insomnia. However, the volume of the existing evidence is limited, therefore additional trials are needed, evaluating cognitive behavioural therapy for insomnia and other therapies for individuals for whom cognitive behavioural therapy for insomnia is not effective, and conducted with a wider range of populations, providers and settings.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"603-614"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41218049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Healthcare utilization impacts of an eConsult program for headache at an academic medical center.","authors":"Margaret H Downes, Rachelle Morgenstern, Georges Naasan, Shanna Patterson, Anna Pace, Parul Agarwal, Susan Shin, Rory Abrams, Bridget Mueller, James Young, Ronald Tamler, Barbara G Vickrey, Benjamin R Kummer","doi":"10.1177/1357633X231207908","DOIUrl":"10.1177/1357633X231207908","url":null,"abstract":"<p><p>IntroductionInterprofessional consultations (\"eConsults\") can reduce healthcare utilization. However, the impact of eConsults on healthcare utilization remains poorly characterized among patients with headache.MethodsWe performed a retrospective, 1:1 matched cohort study comparing patients evaluated for headache via eConsult request or in-person referral at the Mount Sinai Health System in New York. Groups were matched on clinical and demographic characteristics. Our primary outcome was one or more outpatient headache-related encounters in 6 months following referral date. Secondary outcomes included one or more all-cause outpatient neurology and headache-related emergency department (ED) encounters during the same period. We used univariable and multivariable logistic regression to model associations between independent variables and outcomes.ResultsWe identified 74 patients with headache eConsults who were matched to 74 patients with in-person referrals. Patients in the eConsult group were less likely to achieve the primary outcome (29.7% vs 62.2%, <i>P</i> < 0.0001) or have an all-cause outpatient neurology encounter (33.8% vs 79.7%, <i>P</i> < 0.0001) than patients in the comparison group. Both groups did not significantly differ by headache-related ED encounters. In multivariable analyses, patients in the eConsult group had significantly lower odds of having one or more headache-related or all-cause neurology encounters than patients in the comparison group (odds ratio (OR) 0.3, 95% confidence interval (CI) 0.1-0.6; OR 0.1, 95% CI 0.1-0.3, respectively).DiscussionIn comparison to in-person referrals, eConsult requests for headache were associated with reduced likelihood of outpatient neurology encounters in the short-term but not with differential use of headache-related ED encounters. Larger-scale, prospective studies should validate our findings and assess patient outcomes.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"680-689"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the suitability of virtual versus in-person care: Perceptions from pediatricians.","authors":"Russell Leong, Kate E Sanderson, Anne F Klassen, Elyanne M Ratcliffe, Gregorio Zuniga-Villanueva","doi":"10.1177/1357633X231205329","DOIUrl":"10.1177/1357633X231205329","url":null,"abstract":"<p><p>ObjectivesThe COVID-19 pandemic compelled a portion of healthcare to be delivered virtually. As the pandemic waned, health systems strived to find a balance between re-incorporating in-person care while maintaining virtual care. To find when virtual or in-person encounters are more appropriate, we surveyed pediatricians' perceptions when comparing the suitability of virtual care to in-person care.MethodsWe surveyed a Canadian tertiary-level pediatric hospital where pediatricians assessed whether specific clinical encounters or tasks were more or less effective virtually than when performed in person. Pediatricians also rated the importance of clinical and patient factors when deciding if a patient needs to be seen in person.ResultsOf 160 pediatrics faculty members, 56 (35%) responded to the survey. When assessing different types of clinical encounters, triage, multidisciplinary meetings, discharge, and follow ups were more likely to favor virtual encounters. However, first consultations and family meetings were more likely to favor in-person encounters. Regarding clinical tasks, pediatricians were more likely to endorse explaining test results, offering treatment recommendations, and obtaining patient histories virtually. On the contrary, there was a preference for physical examinations, assessing patients visually, and assessing developmental milestones to be performed in person. When deciding if a patient should be seen in person versus virtual, pediatricians rated the patient's condition and communication barriers as the most important factors favoring an in-person appointment.DiscussionThese results offer an initial framework for pediatricians when choosing which encounter type may be most appropriate for their patients between virtual or in-person appointments.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"667-672"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12095875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telerehabilitation for the treatment in chronic low back pain: A randomized controlled trial.","authors":"Francisco Jesús Villatoro-Luque, Daniel Rodríguez-Almagro, Agustín Aibar-Almazán, Samuel Fernández-Carnero, Daniel Pecos-Martín, Alfonso Javier Ibáñez-Vera, Eduardo Castro-Martín, Alexander Achalandabaso-Ochoa","doi":"10.1177/1357633X231195091","DOIUrl":"10.1177/1357633X231195091","url":null,"abstract":"<p><p>IntroductionAlthough there is growth in the approach to telerehabilitation (TLRH) in different pathologies, research on TLRH for the management of low back pain is scarce and controversial. Thus, the purpose of this study was to analyze whether a TLRH program is as effective as a clinical exercise program in improving pain and different functional variables in patients with nonspecific low back pain (NLBP).MethodA single-blind, two-armed randomized controlled trial was carried out with 68 individuals with chronic NLBP. Participants were randomly allocated to either the TLRH group (TG) (<i>n</i> = 34) or the clinic group (CG) (<i>n</i> = 34). The TG received an exercise-based TLRH video and an educational program on the neurophysiology of pain. The CG received the same pain education and exercise program at the clinic facility supervised by a clinician. Both groups performed 2 weekly sessions for 8 weeks. Active movements of the lumbar spine, pain and range of motion, and kinesiophobia were assessed at baseline, at the end of 8 weeks of treatment, and at 3 months.ResultsStatistically significant differences for time-by-group interaction were identified in range of motion of right (<i>F</i> = 11.668; <i>p</i> = 0.001) and left (<i>F</i> = 4.219; <i>p</i> = 0.042) legs when knee extended test is performed; as well as in pain intensity when the same test (<i>F</i> = 5.176; <i>p</i> = 0.043). Moreover, higher pain level during flexion (<i>F</i> = 5.133; <i>p</i> = 0.009) and extension movements (<i>F</i> = 6.335; <i>p</i> = 0.003) in patients with bilateral pain location than those with unilateral or central pain location has been appreciated.ConclusionA TLRH rehabilitation program via mobile app is as effective as the same exercise program supervised in a clinic.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"637-646"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10119331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prehospital stroke scales outperform National Institutes of Health Stroke Scale in predicting large vessel occlusion in a large academic telestroke network.","authors":"Stephen W English, Nikita Chhabra, Abigail E Hanus, Rida Basharath, Monet Miller, Richard J Butterfield, Nan Zhang, Bart M Demaerschalk","doi":"10.1177/1357633X231204066","DOIUrl":"10.1177/1357633X231204066","url":null,"abstract":"<p><p>IntroductionPrehospital telestroke evaluations may improve stroke triage compared to paramedic-applied large vessel occlusion scales, but ambulance-based video National Institutes of Health Stroke Scale assessments are challenging. The accuracy of telestroke-administered large vessel occlusion scales has not been investigated, so we sought to evaluate this further.MethodsThis retrospective study included all in-hospital telestroke encounters in a large academic telestroke network from 2019 to 2020. We retrospectively calculated seven large vessel occlusion scales using the in-hospital telestroke National Institutes of Health Stroke Scale (Rapid Arterial oCclusion Evaluation, Cincinnati Stroke Triage Assessment Tool, Field Assessment Stroke Triage for Emergency Destination, 3-Item Stroke Scale, Prehospital Acute Stroke Severity, Vision-Aphasia-Neglect, and Gaze-Face-Arm-Speech-Time). Diagnostic performance was assessed via sensitivity, specificity, negative predictive value, positive predictive value, positive likelihood ratio, negative likelihood ratio, and accuracy using established scale thresholds. These results were compared to the National Institutes of Health Stroke Scale at thresholds of 6, 8, and 10. The area under curve was calculated using c-statistics by treating scales as continuous variables.ResultsA total of 625 patients were included; 111 (17.8%) patients had an anterior large vessel occlusion, 118 (18.9%) patients had any large vessel occlusion, and 182 (29.1%) patients had stroke mimic diagnosis. The mean age (SD) was 67.9 (15.9), 48.3% were female, and 93.4% were white. The Mean National Institutes of Health Stroke Scale (SD) was 14.9 (8.4) for patients with anterior large vessel occlusion, 4.7 (5.0) for patients with non-large vessel occlusion ischemic stroke, and 4.4 (5.8) for stroke mimic (<i>p</i> < 0.001). Compared to the National Institutes of Health Stroke Scale, Field Assessment Stroke Triage for Emergency Destination, and Rapid Arterial oCclusion Evaluation scales demonstrated higher accuracy and area under curve for large vessel occlusion detection.DiscussionBoth the Field Assessment Stroke Triage for Emergency Destination and Rapid Arterial oCclusion Evaluation scales outperformed the National Institutes of Health Stroke Scale for large vessel occlusion detection in patients evaluated by in-hospital telestroke. These scales may be valid alternatives to the National Institutes of Health Stroke Scale examination in this setting.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"647-655"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medication adherence in patients with mental disorders: A systematic review and meta-analysis of telemedicine interventions.","authors":"Khadijeh Moulaei, Kambiz Bahaadinbeigy, Hamid Sharifi","doi":"10.1177/1357633X231211355","DOIUrl":"10.1177/1357633X231211355","url":null,"abstract":"<p><p>Background and objectiveTelemedicine interventions have emerged as a promising solution to improve medication adherence by providing remote support and monitoring of patients with mental disorders. This study aims to investigate the effectiveness of telemedicine interventions in enhancing medication adherence among patients with mental disorders.MethodsPubMed, Scopus, and Web of Science were searched systematically. After deleting the double-included studies, two researchers independently selected articles and extracted data using a standardized data collection form. The risk of bias in the included studies was assessed using the Mixed Methods Appraisal Tool. The intervention effects were combined using a random effects model. Standardized mean differences (Hedges's g) between the treatment and control groups were calculated. Heterogeneity variance was estimated using the Q test and I² statistic. The analysis was performed in Stata version 17.0.ResultsOut of the 1088 articles retrieved, nine studies were included in the analysis. Overall, telemedicine interventions demonstrated a statistically significant improvement in medication adherence among patients with mental disorders (Hedges' g = 0.25, 95% confidence interval: 0.12-0.38, <i>p</i>-value: < 0.01). The type of mental disorder was a significant moderator of the heterogeneity between studies (<i>p</i> = 0.022).ConclusionTelemedicine interventions have a positive impact on medication adherence in patients with mental disorders by offering remote support and monitoring. Integrating telemedicine into mental healthcare can enhance overall adherence rates, leading to improved management of mental disorders.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"628-636"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"107592696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}