Objective: To estimate the effectiveness and acceptability of telemedicine provision of early medical abortion compared with provision with a face-to-face physician visit at a Planned Parenthood affiliate in Iowa.
Methods: Between November 2008 and October 2009, we conducted a prospective cohort study of women obtaining medical abortion by telemedicine or face-to-face physician visits. We collected clinical data, and women completed a self-administered questionnaire at follow-up. We also compared the prevalence of reportable adverse events between the two service delivery models among all patients seen between July 2008 and October 2009.
Results: Of 578 enrolled participants, follow-up data were obtained for 223 telemedicine patients and 226 face-to-face patients. The proportion with a successful abortion was 99% for telemedicine patients (95% confidence interval [CI] 96-100%) and 97% for face-to-face patients (95% CI 94-99%). Ninety-one percent of all participants were very satisfied with their abortion, although in multivariable analysis, telemedicine patients had a higher odds of saying they would recommend the service to a friend compared with face-to-face patients (odds ratio, 1.72; 95% CI 1.26-2.34). Twenty-five percent of telemedicine patients said they would have preferred being in the same room with the doctor. Younger age, less education, and nulliparity were significantly associated with preferring face-to-face communication. There was no significant difference in the prevalence of adverse events reported during the study period among telemedicine patients (n = 1,172) (1.3%; 95% CI 0.8-2.1%) compared with face-to-face patients (n = 2,384) (1.3%; 95% CI 0.9-1.8%) (82% power to detect difference of 1.3%).
Conclusion: Provision of medical abortion through telemedicine is effective and acceptability is high among women who choose this model.
Level Of Evidence: II.
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http://dx.doi.org/10.1097/AOG.0b013e318224d110 | DOI Listing |
BMJ Open Qual
January 2025
Rheumatology and immunology department, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
Objectives: This study sought to assess the effectiveness of nurse-led care (NLC) in patients with rheumatoid arthritis (RA).
Methods: We conducted a comprehensive search of the Cochrane Library, Web of Science, PubMed, Embase, CINAHL, ClinicalTrials.gov databases and the references from relevant literature published prior to May 2023.
J Pain Symptom Manage
January 2025
Section of Palliative Care and Medical Ethics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Palliative Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; School of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Context: Specialty palliative care remains inaccessible for many with serious illness, especially in rural areas. Telehealth may be one solution.
Objectives: To describe how telehealth increases access to specialty palliative care, describe facilitators and barriers to its use, and summarize evidence of patient benefits.
Br J Anaesth
January 2025
Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St. Louis, MO, USA.
Background: Telemedicine may help improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied.
Methods: This was a single-centre randomised clinical trial of unselected adult surgical patients.
BMJ Open Qual
January 2025
Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.
Introduction: Stroke is a leading cause of mortality and morbidity, demanding prompt and accurate identification. However, prehospital diagnosis is challenging, with up to 50% of suspected strokes having other diagnoses. A prehospital video triage (PHVT) system was piloted in Greater Manchester to improve prehospital diagnostic accuracy and appropriate conveyance decisions.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.
Background: Digital health interventions have become increasingly popular in recent years, expanding the possibilities for treatment for various patient groups. In clinical research, while the design of the intervention receives close attention, challenges with research participant engagement and retention persist. This may be partially due to the use of digital health platforms, which may lack adequacy for participants.
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