{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T16:31:24Z","timestamp":1791822684821,"version":"4.3.4"},"reference-count":64,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Cancer"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>\n                      <jats:bold>Background<\/jats:bold>\n                    <\/jats:title>\n                    <jats:p>Breast cancer and its treatment can negatively affect women\u2019s quality of life (QoL), including physical, psychological, and social well-being. Digital health interventions have been increasingly used to provide supportive care, but their effectiveness on QoL and related psychosocial outcomes remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>\n                      <jats:bold>Objective<\/jats:bold>\n                    <\/jats:title>\n                    <jats:p>This review aimed to evaluate the effectiveness of digital health interventions on QoL in women with breast cancer and to assess their effects on anxiety, depression, and self-efficacy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>\n                      <jats:bold>Methods<\/jats:bold>\n                    <\/jats:title>\n                    <jats:p>This systematic review was registered in PROSPERO (CRD420250578307) and conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement. PsycINFO, Web of Science, Scopus, LILACS, and SciELO were searched in September 2025. Eligible studies were randomized controlled trials (RCTs) or controlled quasi-experimental studies with preintervention and postintervention assessments that evaluated digital health interventions in women with breast cancer during or up to 1 year after active treatment and reported QoL outcomes. Two reviewers independently screened all records (interrater agreement &gt;90%) and extracted data using a standardized template, with independent verification by a second reviewer. Risk of bias was assessed using the Cochrane Risk of Bias tool (RoB 2) for RCTs and the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool for the quasi-experimental study; findings were synthesized narratively following the Synthesis Without Meta-analysis (SWiM) guideline.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>\n                      <jats:bold>Results<\/jats:bold>\n                    <\/jats:title>\n                    <jats:p>A total of 408 records were identified, and 15 studies were included: 14 RCTs and 1 quasi-experimental study. Sample sizes ranged from 35 to 394 participants. Ten studies evaluated internet-based approaches such as websites or apps; 3 used text messaging (eg, WhatsApp [WhatsApp LLC] or WeChat [Tencent Technology, Shenzhen Company Limited]), 1 used virtual reality, and 1 used an email listserve. The direction of effect favored the digital intervention for QoL in 8 of the 15 studies. Self-efficacy was assessed in 5 studies and favored the intervention in only 1, with the effect not maintained at follow-up. Anxiety, depression, or emotional distress were assessed in 13 studies, with a favorable direction of effect in 5. Retention rates ranged from 68.6% to 100%. Among the 14 RCTs, 3 were judged at high overall risk of bias, and 11 raised some concerns; none was at low risk. The quasi-experimental study had a serious overall risk of bias. Certainty of evidence was low for QoL and emotional outcomes and very low for self-efficacy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>\n                      <jats:bold>Conclusions<\/jats:bold>\n                    <\/jats:title>\n                    <jats:p>Digital health interventions may provide modest, short-term improvements in some dimensions of QoL in women with breast cancer. Favorable effects appeared more often in interventions with active therapeutic components or professional support; however, this pattern was based on indirect comparisons across heterogeneous studies. Effects on self-efficacy and mental health were inconsistent, and acceptability was insufficiently evaluated. Although promising, current evidence does not support strong or generalizable conclusions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/96858","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T17:25:09Z","timestamp":1783704309000},"page":"e96858-e96858","source":"Crossref","is-referenced-by-count":2,"title":["Digital Health Interventions and Psychosocial Outcomes in Women With Breast Cancer: Systematic Review"],"prefix":"10.2196","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8097-3985","authenticated-orcid":false,"given":"Roc\u00edo","family":"Z\u00fa\u00f1iga-Tapia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8407-7336","authenticated-orcid":false,"given":"Merc\u00e8","family":"Boixad\u00f3s","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0319-861X","authenticated-orcid":false,"given":"Eul\u00e0lia","family":"Hern\u00e1ndez Encuentra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,8,21]]},"reference":[{"key":"R1","unstructured":"Breast cancer. 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