Aplicativos para dor crônica e riscos de uso abusivo de opioides
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Publicado
Aug 26, 2024
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Resumo
Objetivo: Identificar na literatura as evidências sobre o uso de aplicativos móveis para pacientes com dor crônica e os riscos para uso abusivo de opioides. Métodos: Revisão de escopo segundo metodologia do Instituto Joanna Briggs, para responder às perguntas: Quais as evidências sobre o uso de tecnologias, na forma de aplicativos, para pacientes com dor crônica em risco de uso abusivo de opioides? E quais os tipos de aplicativos utilizados e quais riscos para o uso abusivo de opioides são mencionados nestes estudos? O protocolo da revisão foi registrado no Open Science Framework. Os estudos foram recuperados das bases de dados e fontes de literatura cinzenta. A seleção e extração foi realizada por dois revisores independentes, pela análise do título e resumo, seguida pela leitura na íntegra. Resultados: Foram analisados 28 estudos com aplicativos para dor crônica contemplando as seguintes categorias 33% foram aplicativos educacionais, 25% assistenciais, 17% gerenciais, e 25% outras categorias. Considerações finais: Os achados da revisão de escopo apontaram a existência de aplicativos relacionados à temática, sendo que os aplicativos educacionais apontaram para o uso dessa tecnologia como facilitadora da educação de pacientes com dor crônica para a prevenção de uso abusivo e demais riscos relacionados aos opioides.
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Como Citar
SoaresL. M. de S. G., MoraesE. B. de, SeixasF. L., CunhaK. C. da S., GoulartM. de C. e L., & CostaL. R. B. (2024). Aplicativos para dor crônica e riscos de uso abusivo de opioides. Revista Eletrônica Acervo Saúde, 24(8), e16941. https://doi.org/10.25248/reas.e16941.2024
Seção
Revisão Bibliográfica
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Referências
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6. ENGELMAN DT, et al. Situational awareness of opioid consumption: the missing link to reducing dependence after surgery? Anesthesia & Analgesia, 2022; 135(3): 653-658.
7. EZENWA MO, et al. A Stress and Pain Self-management mHealth App for Adult Outpatients with Sickle Cell Disease: Protocol for a Randomized Controlled Study. JMIR Research Protocols, 2022; 11(7): 33818.
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9. FERREIRA RSC. EnfrentaDOR: um aplicativo de educação em dor para indivíduos com fibromyalgia. Dissertação de Mestrado Profissional em Ciência e Tecnologia em Saúde. Universidade Estadual da Paraíba. Pró Reitoria de Pós-graduação e Pesquisa, 2022; 21.
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11. GARDINER P, et al. An innovative electronic health toolkit to reduce chronic pain in patients with health disparities: open clinical trial. JMIR, 2020; 8(3): 14768.
12. GOODELL E, et al. Feasibility and acceptability of using smartphone-based EMA to assess patterns of prescription opioid and medical cannabis use among individuals with chronic pain. Internet Interventions, 2021; 26.
13. HAN JJ, et al. Long-term Use of Wearable Health Technology by Chronic Pain Patients. The Clinical Journal of Pain, 2022; 38(12): 701.
14. HODGES J, et al. "Six-month outcomes of the HOPE smartphone application designed to support treatment with medications for opioid use disorder and piloted during an early statewide COVID-19 lockdown Addiction Science & Clinical Practice, 2022; 17(1): 1-11.
15. JAMISON RN, et al. Determining pain catastrophizing from daily pain app assessment data: role of computer-based classification. The Journal of Pain, 2019; 20(3): 278-287.
16. JOHNSON A, et al. Use of mobile health apps and wearable technology to assess changes and predict pain during treatment of acute pain in sickle cell disease: feasibility study. JMIR, 2019; 7(12): 13671.
17. KACIROTI N, et al. Sensory-discriminative three-dimensional body pain mobile app measures versus traditional pain measurement with a visual analog scale: validation study. JMIR, 2020; 8(8): 17754.
18. KAWI J, et al. Explorando a Viabilidade da Acupressão de Ponto Auricular Virtualmente Entregue no Automanejo da Dor Crônica: Estudo Qualitativo. Medicina Alternativa e Complementar Baseada em Evidências, 2022.
19. KONG Y, et al. Multi-level Pain Quantification using a Smartphone and Electrodermal Activity. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022; 44: 2475-2478.
20. LEAL RS e ALENCAR, GABC. Uso indevido e dependência de opioides: da prevenção ao tratamento. Revista de Medicina de Família e Saúde Mental, 2017.
21. LIMA CSP e BARBOSA SDFF. Aplicativos móveis em saúde: caracterização da produção científica da enfermagem brasileira. Revista eletrônica de enfermagem, 2019; 21.
22. MADILL ES, et al. Development of an evaluative, educational, and communication-facilitating app for older adults with chronic low back pain: patient perceptions of usability and utility. Pain Medicine, 2019; 20(11): 2120-2128.
23. MCHUGH RK, et al. A hora de dormir é importante entre os pacientes com dor crônica? Estudo longitudinal de comparação. Relatórios de Dor, 2019; 4(3).
24. MICELLI L, et al. Development of a test for recording both visual and auditory reaction times, potentially useful for future studies in patients on opioids therapy. Drug design, development and therapy, 2015; 817-822.
25. MONTENEGRO CPD. Aplicativo para alívio da dor crônica na coluna lombar em pessoas idosas. Universidade Federal da Paraíba. 2020.
26. OMAKI E, et al. Using m-health tools to reduce the misuse of opioid pain relievers. Injury prevention, 2019; 25(4): 334-339.
27. ORGANIZAÇÃO MUNDIAL DE SAÚDE. Estratégia Global de Saúde Digital. 2020-2025, 2020.
28. PANDRANGI VC, et al. Effect of virtual reality on pain management and opioid use among hospitalized patients after head and neck surgery: a randomized clinical trial. JAMA Otolaryngology–Head & Neck Surgery, 2022; 148(8): 724-730.
29. PETERS MDJ, et al. Scoping Reviews. JBI Manual for Evidence Synthesis. JBI; 2020.
30. RABBITTS JA, et al. A digital health peri-operative cognitive-behavioral intervention to prevent transition from acute to chronic postsurgical pain in adolescents undergoing spinal fusion (SurgeryPalTM): study protocol for a multisite randomized controlled trial. Trials, 2021; 22(1): 1-12.
31. RAHMAN QA, et al. Patterns of user engagement with the mobile app, Manage My Pain: results of a data mining investigation. JMIR mHealth and uHealth, 2017; 5(7): 7871.
32. RAJA SN, et al. The revised International Association for the Study of Pain definition of pain: concepts, challenges, and compromises. Pain, 2020; 23.
33. RICHARDSON JE, et al. The potential role for smartphones among older adults with chronic noncancer pain: A qualitative study. Pain Medicine, 2018; 19(6): 1132-1139.
34. SARAIVA TC, et al. Perspectives on trauma and the design of a technology-based trauma-informed intervention for women receiving medications for addiction treatment in community-based settings. Journal of Substance Abuse Treatment, 2020; 112: 92-101.
35. SUSO-RIBEIRA C, et al. Telemonitoring in chronic pain management using smartphone apps: A randomized controlled trial comparing usual assessment against app-based monitoring with and without clinical alarms. Int. J. Environ. Res. Public Health, 2020; 17: 6568.
36. WALLACE LS e DHINGRA LK. A systematic review of smartphone applications for chronic pain available for download in the United States. Journal of opioid management, 2014; 10(1): 63-68.
37. WANG SC, et al. Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review. International Journal of Molecular Sciences, 2019; 4294.
38. YUAN SLK. Desenvolvimento de aplicativo móvel para promoção do autocuidado de pacientes com fibromyalgia. São Paulo. Faculdade de Medicina, 2018.
39. ZHAO P, et al. Aplicativos móveis para o tratamento da dor: uma análise de aplicativos para uso clínico. BMC Informática Médica e Tomada de Decisão, 2019; 19(1): 1-10.
2. BHATIA A, et al. User Engagement and Clinical Impact of the Manage My Pain App in Patients with Chronic Pain: A Real-World, Multi-site Trial JMIR M health U health, 2021; 9(3): 26528.
3. CEDILLO G, et al. Towards Safer Opioid Prescribing in HIV care: a randomized clinical trial by conglomerates of mixed methods. Sci Clin Pract, 2022; 17: 28.
4. CONSELHO FEDERAL DE ENFERMAGEM. Resolução COFEN nº 568, de 09 de fevereiro de 2018. Regulamenta o registro de Consultórios e Clínicas de Enfermagem. Brasília: 2018.
5. ECKARD C, et al. The Integration of Technology into Treatment Programs to Aid in the Reduction of Chronic Pain. J Pain Manag Med., 2016; 2(3) :118.
6. ENGELMAN DT, et al. Situational awareness of opioid consumption: the missing link to reducing dependence after surgery? Anesthesia & Analgesia, 2022; 135(3): 653-658.
7. EZENWA MO, et al. A Stress and Pain Self-management mHealth App for Adult Outpatients with Sickle Cell Disease: Protocol for a Randomized Controlled Study. JMIR Research Protocols, 2022; 11(7): 33818.
8. EAL DD, et al. Effect of mobile device-assisted N-of-1 trial participation on analgesic prescribing for chronic pain: randomized controlled trial. Journal of General Internal Medicine, 2020; 35: 102-111.
9. FERREIRA RSC. EnfrentaDOR: um aplicativo de educação em dor para indivíduos com fibromyalgia. Dissertação de Mestrado Profissional em Ciência e Tecnologia em Saúde. Universidade Estadual da Paraíba. Pró Reitoria de Pós-graduação e Pesquisa, 2022; 21.
10. GARCIA JBS, et al. Latin American Pain Federation position paper on appropriate opioid use in pain management. 2019.
11. GARDINER P, et al. An innovative electronic health toolkit to reduce chronic pain in patients with health disparities: open clinical trial. JMIR, 2020; 8(3): 14768.
12. GOODELL E, et al. Feasibility and acceptability of using smartphone-based EMA to assess patterns of prescription opioid and medical cannabis use among individuals with chronic pain. Internet Interventions, 2021; 26.
13. HAN JJ, et al. Long-term Use of Wearable Health Technology by Chronic Pain Patients. The Clinical Journal of Pain, 2022; 38(12): 701.
14. HODGES J, et al. "Six-month outcomes of the HOPE smartphone application designed to support treatment with medications for opioid use disorder and piloted during an early statewide COVID-19 lockdown Addiction Science & Clinical Practice, 2022; 17(1): 1-11.
15. JAMISON RN, et al. Determining pain catastrophizing from daily pain app assessment data: role of computer-based classification. The Journal of Pain, 2019; 20(3): 278-287.
16. JOHNSON A, et al. Use of mobile health apps and wearable technology to assess changes and predict pain during treatment of acute pain in sickle cell disease: feasibility study. JMIR, 2019; 7(12): 13671.
17. KACIROTI N, et al. Sensory-discriminative three-dimensional body pain mobile app measures versus traditional pain measurement with a visual analog scale: validation study. JMIR, 2020; 8(8): 17754.
18. KAWI J, et al. Explorando a Viabilidade da Acupressão de Ponto Auricular Virtualmente Entregue no Automanejo da Dor Crônica: Estudo Qualitativo. Medicina Alternativa e Complementar Baseada em Evidências, 2022.
19. KONG Y, et al. Multi-level Pain Quantification using a Smartphone and Electrodermal Activity. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022; 44: 2475-2478.
20. LEAL RS e ALENCAR, GABC. Uso indevido e dependência de opioides: da prevenção ao tratamento. Revista de Medicina de Família e Saúde Mental, 2017.
21. LIMA CSP e BARBOSA SDFF. Aplicativos móveis em saúde: caracterização da produção científica da enfermagem brasileira. Revista eletrônica de enfermagem, 2019; 21.
22. MADILL ES, et al. Development of an evaluative, educational, and communication-facilitating app for older adults with chronic low back pain: patient perceptions of usability and utility. Pain Medicine, 2019; 20(11): 2120-2128.
23. MCHUGH RK, et al. A hora de dormir é importante entre os pacientes com dor crônica? Estudo longitudinal de comparação. Relatórios de Dor, 2019; 4(3).
24. MICELLI L, et al. Development of a test for recording both visual and auditory reaction times, potentially useful for future studies in patients on opioids therapy. Drug design, development and therapy, 2015; 817-822.
25. MONTENEGRO CPD. Aplicativo para alívio da dor crônica na coluna lombar em pessoas idosas. Universidade Federal da Paraíba. 2020.
26. OMAKI E, et al. Using m-health tools to reduce the misuse of opioid pain relievers. Injury prevention, 2019; 25(4): 334-339.
27. ORGANIZAÇÃO MUNDIAL DE SAÚDE. Estratégia Global de Saúde Digital. 2020-2025, 2020.
28. PANDRANGI VC, et al. Effect of virtual reality on pain management and opioid use among hospitalized patients after head and neck surgery: a randomized clinical trial. JAMA Otolaryngology–Head & Neck Surgery, 2022; 148(8): 724-730.
29. PETERS MDJ, et al. Scoping Reviews. JBI Manual for Evidence Synthesis. JBI; 2020.
30. RABBITTS JA, et al. A digital health peri-operative cognitive-behavioral intervention to prevent transition from acute to chronic postsurgical pain in adolescents undergoing spinal fusion (SurgeryPalTM): study protocol for a multisite randomized controlled trial. Trials, 2021; 22(1): 1-12.
31. RAHMAN QA, et al. Patterns of user engagement with the mobile app, Manage My Pain: results of a data mining investigation. JMIR mHealth and uHealth, 2017; 5(7): 7871.
32. RAJA SN, et al. The revised International Association for the Study of Pain definition of pain: concepts, challenges, and compromises. Pain, 2020; 23.
33. RICHARDSON JE, et al. The potential role for smartphones among older adults with chronic noncancer pain: A qualitative study. Pain Medicine, 2018; 19(6): 1132-1139.
34. SARAIVA TC, et al. Perspectives on trauma and the design of a technology-based trauma-informed intervention for women receiving medications for addiction treatment in community-based settings. Journal of Substance Abuse Treatment, 2020; 112: 92-101.
35. SUSO-RIBEIRA C, et al. Telemonitoring in chronic pain management using smartphone apps: A randomized controlled trial comparing usual assessment against app-based monitoring with and without clinical alarms. Int. J. Environ. Res. Public Health, 2020; 17: 6568.
36. WALLACE LS e DHINGRA LK. A systematic review of smartphone applications for chronic pain available for download in the United States. Journal of opioid management, 2014; 10(1): 63-68.
37. WANG SC, et al. Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review. International Journal of Molecular Sciences, 2019; 4294.
38. YUAN SLK. Desenvolvimento de aplicativo móvel para promoção do autocuidado de pacientes com fibromyalgia. São Paulo. Faculdade de Medicina, 2018.
39. ZHAO P, et al. Aplicativos móveis para o tratamento da dor: uma análise de aplicativos para uso clínico. BMC Informática Médica e Tomada de Decisão, 2019; 19(1): 1-10.