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Assessment of Smartphone Apps for Common Neurologic Conditions (Headache, Insomnia, and Pain): Cross-sectional Study.
Minen, Mia T; George, Alexis; Camacho, Erica; Yao, Leslie; Sahu, Ananya; Campbell, Maya; Soviero, Mia; Hossain, Quazi; Verma, Deepti; Torous, John.
Afiliação
  • Minen MT; Department of Neurology, New York University Langone Health, New York, NY, United States.
  • George A; Department of Neurology, New York University Langone Health, New York, NY, United States.
  • Camacho E; Department of Psychiatry, Beth Israel Deaconess Medical Center, New York, NY, United States.
  • Yao L; Barnard College, New York, NY, United States.
  • Sahu A; Barnard College, New York, NY, United States.
  • Campbell M; Barnard College, New York, NY, United States.
  • Soviero M; Barnard College, New York, NY, United States.
  • Hossain Q; The City College of New York, New York, NY, United States.
  • Verma D; The City College of New York, New York, NY, United States.
  • Torous J; Department of Psychiatry, Beth Israel Deaconess Medical Center, New York, NY, United States.
JMIR Mhealth Uhealth ; 10(6): e36761, 2022 06 21.
Article em En | MEDLINE | ID: mdl-35727625
BACKGROUND: There are thousands of apps for individuals struggling with headache, insomnia, and pain, but it is difficult to establish which of these apps are best suited for patients' specific needs. If clinicians were to have access to a platform that would allow them to make an informed decision on the efficacy and feasibility of smartphone apps for patient care, they would feel confident in prescribing specific apps. OBJECTIVE: We sought to evaluate the quality of apps for some of the top common, disabling neurologic conditions (headache, insomnia, and pain) based on principles derived from the American Psychiatric Association's (APA) app evaluation model. METHODS: We used the Mobile Health Index and Navigation database and expanded upon the database's current supported conditions by adding 177 new app entries. Each app was rated for consistency with the APA's app evaluation model, which includes 105 objective questions based on the following 5 major classes of consideration: (1) accessibility, (2) privacy and security, (3) clinical foundation, (4) engagement style, and (5) interoperability. These characteristics were evaluated to gain a broader understanding of the significant features of each app category in comparison against a control group. RESULTS: Approximately 90% (187/201) of all apps evaluated were free to download, but only 50% (63/201) of headache- and pain-related apps were truly free. Most (87/106, 81%) sleep apps were not truly free to use. The apps had similar limitations with limited privacy, accessibility, and crisis management resources. For example, only 17% (35/201) of the apps were available in Spanish. The apps offered mostly self-help tools with little tailoring; symptom tracking was the most common feature in headache- (32/48, 67%) and pain-related apps (21/47, 45%), whereas mindfulness was the most common feature in sleep-related apps (73/106, 69%). CONCLUSIONS: Although there are many apps for headache, pain, and insomnia, all 3 types of apps have room for improvement around accessibility and privacy. Pain and headache apps share many common features, whereas insomnia apps offer mostly mindfulness-based resources. Given the many available apps to pick from, clinicians and patients should seek apps that offer the highest-quality features, such as complete privacy, remedial features, and the ability to download the app at no cost. These results suggest that there are many opportunities for the improvement of apps centered on headache, insomnia, and pain.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Aplicativos Móveis / Distúrbios do Início e da Manutenção do Sono Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: JMIR Mhealth Uhealth Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Aplicativos Móveis / Distúrbios do Início e da Manutenção do Sono Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: JMIR Mhealth Uhealth Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos