Main Article Content
Abstract
Introduction: Arterial hypertension and diabetes mellitus are two of the main causes of morbidity and mortality, being the precursors of chronic kidney disease and classified as a public health problem that affects one in ten adults in the world. Lack of compliance with treatment is the major cause of failure in promotion programs and prevention. This systematic review seeks to provide scientific evidence to nursing professionals using information and communication technologies that improve therapeutic adherence. Objective: Identify the effectiveness of information and communication technologies in therapeutic adherence in people with Arterial Hypertension and Diabetes Mellitus. Material y Method: A systematic literature review was carried out in the CUIDEN, CINAHL, COCHRANE, LILACS, PUBMED and OVID NURSING databases. After applying the selection criteria and methodological quality checklists, 18 articles were obtained for analysis: 12 randomized clinical trials, 3 quasi-experimental studies and 3 systematic reviews. The level of evidence of the studies was classified according to the Joanna Briggs Institute. Results: Three categories were established: single interventions, multicomponent interventions and nursing role in the use of ICTs to favour adherence. Conclusions: Currently, within health care, there are initial findings that support the effectiveness of the use of information and communication technologies, being a tool that favours therapeutic adherence in patients with arterial hypertension and diabetes mellitus.
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References
- Ajay VS, Jindal D, Roy A, Venugopal V, Sharma R, Pawar A, et al. Development of a Smartphone-Enabled Hypertension and Diabetes Mellitus Management Package to Facilitate Evidence-Based Care Delivery in Primary Healthcare Facilities in India: The mPower Heart Project. J Am Heart Assoc. 2016;5(12):e004343. DOI: https://doi.org/10.1161/JAHA.116.004343
- Canata Becker TA, de Souza Teixeira CR, Zanetti ML, Pace AE, raújo Almeida FA, da Costa Gonçalves Torquato MT. Efeitos do suporte telefônico no controle metabólico de idosos com diabetes mellitus. Rev Bras Enferm. 2017;70(4):737-43.
- Harrison TN, Ho TS, Handler J, Kanter MH, Goldberg RA, Reynolds K. A Randomized Controlled Trial of an Automated Telephone Intervention to Improve Blood Pressure Control. J Clin Hypertens. 2013;15(9):650-4. DOI: https://doi.org/10.1111/jch.12162
- World Health Organization. World health statistics 2007. Geneve: World Health Organization; 2007.
- Ministerio de Salud y Protección Social. Análisis de situación de salud (ASIS) Colombia. Dirección de Epidemiología y Demografía. Bogotá, noviembre de 2016.
- Marzo-Castillejo M, Vela-Vallespín C, Bellas-Beceiro B, Bartolomé-Moreno C, Melús-Palazón E, Vilarrubí-Estrella M et al. Recomendaciones de prevención del cáncer. Actualización PAPPS 2018. Aten Primaria. 2018;50(Supl 1):S41-65. DOI: https://doi.org/10.1016/S0212-6567(18)30362-7
- Bloom BS. Daily regimen and compliance with treatment. BMJ. 2001;323(7314):647. DOI: https://doi.org/10.1136/bmj.323.7314.647
- Prado CS, Tenório JM, Ruiz EES, Ortolani CLF, Pisa IT. Impacto da utilização de mensagens do tipo SMS (Short Message Service) como lembrete na adesão ao tratamento de saúde: revisão sistemática da literatura. J Heal Inf. 2012;4(4):159-64.
- Kanadli KA, Ovayolu N, Ovayolu Ö. Does telephone follow-up and education affect self-care and metabolic control in diabetic patients? Holist Nurs Pract. 2016;30(2):70-7. DOI: https://doi.org/10.1097/HNP.0000000000000137
- Avdal EÜ, Kizilci S, Demirel N. The effects of web-based diabetes education on diabetes care results: A randomized control study. CIN - Comput Informatics Nurs. 2011;29(2):101-6. DOI: https://doi.org/10.1097/NCN.0b013e3181fcbdc6
- Belloch C. Las Tecnologías de la Información y Comunicación en el Aprendizaje. Unidad Tecnol Educ (UTE)- Dep Metod Investig y diagnostico en educación. 2012;1-9.
- Liu S, Dunford SD, Leung YW, Brooks D, Thomas SG, Eysenbach G, et al. Reducing blood pressure with internet-based interventions: A meta-analysis. Can J Cardiol. 2013;29(5):613-21. DOI: https://doi.org/10.1016/j.cjca.2013.02.007
- Migneault JP, Dedier JJ, Wright JA, Heeren T, Campbell MK, Morisky DE, et al. A culturally adapted telecommunication system to improve physical activity, diet quality, and medication adherence among hypertensive african-americans: A randomized controlled trial. Ann Behav Med. 2012;43(1):62-73. DOI: https://doi.org/10.1007/s12160-011-9319-4
- Farmer AJ, Mcsharry J, Rowbotham S, Mcgowan L, Ricci-Cabello I, French DP. Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with Type 2 diabetes: A systematic review of randomized trials. Diabet Med. 2016;33(5):565-79. DOI: https://doi.org/10.1111/dme.12987
- Guirao Goris SJA. Utilidad y tipos de revisión de literatura. Ene. [Internet]. 2015 [Consultado 5 oct 2018]; 9(2). Disponible en: http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1988-348X2015000200002. DOI: https://doi.org/10.4321/S1988-348X2015000200002
- Supachaipanichpong P, Vatanasomboon P, Tansakul S, Chumchuen P. An Education Intervention for Medication Adherence in Uncontrolled Diabetes in Thailand. PRIJNR 2018;22(2):144-56.
- Esmatjes E, Jansà M, Roca D, Pérez-Ferre N, del Valle L, Martínez-Hervás S, et al. The Efficiency of Telemedicine to Optimize Metabolic Control in Patients with Type 1 Diabetes Mellitus: Telemed Study. Diabetes Technol Ther [Internet]. 2014;16(7):435-41. DOI: https://doi.org/10.1089/dia.2013.0313
- Shaya FT, Chirikov V V., Daniel Mullins C, Shematek J, Howard D, Foster C, et al. Social Networks Help Control Hypertension. J Clin Hypertens. 2013;15(1):34-40. DOI: https://doi.org/10.1111/jch.12036
- Magid DJ, Olson KL, Billups SJ, Wagner NM, Lyons EE, Kroner BA. A pharmacist-led, American Heart Association Heart360 Web-enabled home blood pressure monitoring program. Circ Cardiovasc Qual Outcomes. 2013;6(2):157-63. DOI: https://doi.org/10.1161/CIRCOUTCOMES.112.968172
- Noh J-H, Cho Y-J, Nam H-W, Kim J-H, Kim D-J, Yoo H-S, et al. Web-Based Comprehensive Information System for Self-Management of Diabetes Mellitus. Diabetes Technol Ther. 2010;12(5):333-7. DOI: https://doi.org/10.1089/dia.2009.0122
- Kumar S, Moseson H, Uppal J, Juusola JL. A Diabetes Mobile App With In-App Coaching From a Certified Diabetes Educator Reduces A1C for Individuals With Type 2 Diabetes. Diabetes Educ. 2018;44(3):226-36. DOI: https://doi.org/10.1177/0145721718765650
- Vervloet M, van Dijk L, de Bakker DH, Souverein PC, Santen-Reestman J, van Vlijmen B, et al. Short- and long-term effects of real-time medication monitoring with short message service (SMS) reminders for missed doses on the refill adherence of people with Type 2 diabetes: Evidence from a randomized controlled trial. Diabet Med. 2014;31(7):821-8. DOI: https://doi.org/10.1111/dme.12439
- Glasgow RE, Kurz D, King D, Dickman JM, Faber AJ, Halterman E, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87(1):81-92. DOI: https://doi.org/10.1016/j.pec.2011.07.024
- McMahon GT, Fonda SJ, Gomes HE, Alexis G, Conlin PR. A Randomized Comparison of Online- and Telephone-Based Care Management with Internet Training Alone in Adult Patients with Poorly Controlled Type 2 Diabetes. Diabetes Technol Ther. 2012;14(11):1060-7. DOI: https://doi.org/10.1089/dia.2012.0137
- Walker CL, Kopp M, Binford RM, Bowers CJ. Home telehealth interventions for older adults with diabetes. Home Healthc Now. 2017 Apr;35(4):202-10. DOI: https://doi.org/10.1097/NHH.0000000000000522
- Lee P, Liu JC, Hsieh MH, Hao WR, Tseng YT, Liu SH, et al. Cloud-based BP system integrated with CPOE improves self-management of the hypertensive patients: A randomized controlled trial. Comput Methods Programs Biomed. 2016;132(2016):105-13. DOI: https://doi.org/10.1016/j.cmpb.2016.04.003
- Stella M, Aldana C De, Plata DM. Chronic Non-Communicable Diseases and Use of Information. Rev Cuid. 2014;5(1):661-9.
- Arora S, Peters AL, Agy C, Menchine M. A Mobile Health Intervention for Inner City Patients with Poorly Controlled Diabetes: Proof-of-Concept of the TExT-MED Program. Diabetes Technol Ther. 2012;14(6):492-6. DOI: https://doi.org/10.1089/dia.2011.0252
- Gandapur Y, Kianoush S, Kelli HM, Misra S, Urrea B, Blaha MJ, et al. The role of mHealth for improving medication adherence in patients with cardiovascular disease: A systematic review. Eur Hear J - Qual Care Clin Outcomes. 2016;2(4):237-44. DOI: https://doi.org/10.1093/ehjqcco/qcw018
- Shaw RJ, Ferranti J. Patient-provider internet portals - Patient outcomes and use. CIN - Comput Informatics Nurs. 2011;29(12):714-8. DOI: https://doi.org/10.1097/NCN.0b013e318224b597
- Haddad NS, Istepanian R, Philip N, Khazaal FAK, Hamdan TA, Pickles T, et al. a feasibility study of mobile phone text messaging to support education and management of type 2 diabetes in Iraq. Diabetes Technol Ther. 2014;16(7):454-9. DOI: https://doi.org/10.1089/dia.2013.0272
- Peterson A. Improving type 1 diabetes management with mobile tools: A systematic review. J Diabetes Sci Technol. 2014;8(4):859-64. DOI: https://doi.org/10.1177/1932296814529885
- Posadzki P, Mastellos N, Ryan R, Lh G, Lm F, Pappas Y, et al. Automated telephone communication systems for preventive healthcare and management of long-term conditions. Cochrane Database Syst Rev. 2016 Dec 14;12:CD009921. DOI: https://doi.org/10.1002/14651858.CD009921.pub2
- Nundy S, Dick J, Solomon M, Peek M.Developing a Behavioral Model for Mobile Phone-Based Diabetes Interventions. Patient Educ Couns. 2013 Jan;90(1):125-32. DOI: https://doi.org/10.1016/j.pec.2012.09.008
- Zolfaghari M, Mousavifar SA, Pedram S, Haghani H. The impact of nurse short message services and telephone follow-ups on diabetic adherence: Which one is more effective? J Clin Nurs. 2012;21(13-14):1922-31. DOI: https://doi.org/10.1111/j.1365-2702.2011.03951.x
References
Ajay VS, Jindal D, Roy A, Venugopal V, Sharma R, Pawar A, et al. Development of a Smartphone-Enabled Hypertension and Diabetes Mellitus Management Package to Facilitate Evidence-Based Care Delivery in Primary Healthcare Facilities in India: The mPower Heart Project. J Am Heart Assoc. 2016;5(12):e004343. DOI: https://doi.org/10.1161/JAHA.116.004343
Canata Becker TA, de Souza Teixeira CR, Zanetti ML, Pace AE, raújo Almeida FA, da Costa Gonçalves Torquato MT. Efeitos do suporte telefônico no controle metabólico de idosos com diabetes mellitus. Rev Bras Enferm. 2017;70(4):737-43.
Harrison TN, Ho TS, Handler J, Kanter MH, Goldberg RA, Reynolds K. A Randomized Controlled Trial of an Automated Telephone Intervention to Improve Blood Pressure Control. J Clin Hypertens. 2013;15(9):650-4. DOI: https://doi.org/10.1111/jch.12162
World Health Organization. World health statistics 2007. Geneve: World Health Organization; 2007.
Ministerio de Salud y Protección Social. Análisis de situación de salud (ASIS) Colombia. Dirección de Epidemiología y Demografía. Bogotá, noviembre de 2016.
Marzo-Castillejo M, Vela-Vallespín C, Bellas-Beceiro B, Bartolomé-Moreno C, Melús-Palazón E, Vilarrubí-Estrella M et al. Recomendaciones de prevención del cáncer. Actualización PAPPS 2018. Aten Primaria. 2018;50(Supl 1):S41-65. DOI: https://doi.org/10.1016/S0212-6567(18)30362-7
Bloom BS. Daily regimen and compliance with treatment. BMJ. 2001;323(7314):647. DOI: https://doi.org/10.1136/bmj.323.7314.647
Prado CS, Tenório JM, Ruiz EES, Ortolani CLF, Pisa IT. Impacto da utilização de mensagens do tipo SMS (Short Message Service) como lembrete na adesão ao tratamento de saúde: revisão sistemática da literatura. J Heal Inf. 2012;4(4):159-64.
Kanadli KA, Ovayolu N, Ovayolu Ö. Does telephone follow-up and education affect self-care and metabolic control in diabetic patients? Holist Nurs Pract. 2016;30(2):70-7. DOI: https://doi.org/10.1097/HNP.0000000000000137
Avdal EÜ, Kizilci S, Demirel N. The effects of web-based diabetes education on diabetes care results: A randomized control study. CIN - Comput Informatics Nurs. 2011;29(2):101-6. DOI: https://doi.org/10.1097/NCN.0b013e3181fcbdc6
Belloch C. Las Tecnologías de la Información y Comunicación en el Aprendizaje. Unidad Tecnol Educ (UTE)- Dep Metod Investig y diagnostico en educación. 2012;1-9.
Liu S, Dunford SD, Leung YW, Brooks D, Thomas SG, Eysenbach G, et al. Reducing blood pressure with internet-based interventions: A meta-analysis. Can J Cardiol. 2013;29(5):613-21. DOI: https://doi.org/10.1016/j.cjca.2013.02.007
Migneault JP, Dedier JJ, Wright JA, Heeren T, Campbell MK, Morisky DE, et al. A culturally adapted telecommunication system to improve physical activity, diet quality, and medication adherence among hypertensive african-americans: A randomized controlled trial. Ann Behav Med. 2012;43(1):62-73. DOI: https://doi.org/10.1007/s12160-011-9319-4
Farmer AJ, Mcsharry J, Rowbotham S, Mcgowan L, Ricci-Cabello I, French DP. Effects of interventions promoting monitoring of medication use and brief messaging on medication adherence for people with Type 2 diabetes: A systematic review of randomized trials. Diabet Med. 2016;33(5):565-79. DOI: https://doi.org/10.1111/dme.12987
Guirao Goris SJA. Utilidad y tipos de revisión de literatura. Ene. [Internet]. 2015 [Consultado 5 oct 2018]; 9(2). Disponible en: http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1988-348X2015000200002. DOI: https://doi.org/10.4321/S1988-348X2015000200002
Supachaipanichpong P, Vatanasomboon P, Tansakul S, Chumchuen P. An Education Intervention for Medication Adherence in Uncontrolled Diabetes in Thailand. PRIJNR 2018;22(2):144-56.
Esmatjes E, Jansà M, Roca D, Pérez-Ferre N, del Valle L, Martínez-Hervás S, et al. The Efficiency of Telemedicine to Optimize Metabolic Control in Patients with Type 1 Diabetes Mellitus: Telemed Study. Diabetes Technol Ther [Internet]. 2014;16(7):435-41. DOI: https://doi.org/10.1089/dia.2013.0313
Shaya FT, Chirikov V V., Daniel Mullins C, Shematek J, Howard D, Foster C, et al. Social Networks Help Control Hypertension. J Clin Hypertens. 2013;15(1):34-40. DOI: https://doi.org/10.1111/jch.12036
Magid DJ, Olson KL, Billups SJ, Wagner NM, Lyons EE, Kroner BA. A pharmacist-led, American Heart Association Heart360 Web-enabled home blood pressure monitoring program. Circ Cardiovasc Qual Outcomes. 2013;6(2):157-63. DOI: https://doi.org/10.1161/CIRCOUTCOMES.112.968172
Noh J-H, Cho Y-J, Nam H-W, Kim J-H, Kim D-J, Yoo H-S, et al. Web-Based Comprehensive Information System for Self-Management of Diabetes Mellitus. Diabetes Technol Ther. 2010;12(5):333-7. DOI: https://doi.org/10.1089/dia.2009.0122
Kumar S, Moseson H, Uppal J, Juusola JL. A Diabetes Mobile App With In-App Coaching From a Certified Diabetes Educator Reduces A1C for Individuals With Type 2 Diabetes. Diabetes Educ. 2018;44(3):226-36. DOI: https://doi.org/10.1177/0145721718765650
Vervloet M, van Dijk L, de Bakker DH, Souverein PC, Santen-Reestman J, van Vlijmen B, et al. Short- and long-term effects of real-time medication monitoring with short message service (SMS) reminders for missed doses on the refill adherence of people with Type 2 diabetes: Evidence from a randomized controlled trial. Diabet Med. 2014;31(7):821-8. DOI: https://doi.org/10.1111/dme.12439
Glasgow RE, Kurz D, King D, Dickman JM, Faber AJ, Halterman E, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87(1):81-92. DOI: https://doi.org/10.1016/j.pec.2011.07.024
McMahon GT, Fonda SJ, Gomes HE, Alexis G, Conlin PR. A Randomized Comparison of Online- and Telephone-Based Care Management with Internet Training Alone in Adult Patients with Poorly Controlled Type 2 Diabetes. Diabetes Technol Ther. 2012;14(11):1060-7. DOI: https://doi.org/10.1089/dia.2012.0137
Walker CL, Kopp M, Binford RM, Bowers CJ. Home telehealth interventions for older adults with diabetes. Home Healthc Now. 2017 Apr;35(4):202-10. DOI: https://doi.org/10.1097/NHH.0000000000000522
Lee P, Liu JC, Hsieh MH, Hao WR, Tseng YT, Liu SH, et al. Cloud-based BP system integrated with CPOE improves self-management of the hypertensive patients: A randomized controlled trial. Comput Methods Programs Biomed. 2016;132(2016):105-13. DOI: https://doi.org/10.1016/j.cmpb.2016.04.003
Stella M, Aldana C De, Plata DM. Chronic Non-Communicable Diseases and Use of Information. Rev Cuid. 2014;5(1):661-9.
Arora S, Peters AL, Agy C, Menchine M. A Mobile Health Intervention for Inner City Patients with Poorly Controlled Diabetes: Proof-of-Concept of the TExT-MED Program. Diabetes Technol Ther. 2012;14(6):492-6. DOI: https://doi.org/10.1089/dia.2011.0252
Gandapur Y, Kianoush S, Kelli HM, Misra S, Urrea B, Blaha MJ, et al. The role of mHealth for improving medication adherence in patients with cardiovascular disease: A systematic review. Eur Hear J - Qual Care Clin Outcomes. 2016;2(4):237-44. DOI: https://doi.org/10.1093/ehjqcco/qcw018
Shaw RJ, Ferranti J. Patient-provider internet portals - Patient outcomes and use. CIN - Comput Informatics Nurs. 2011;29(12):714-8. DOI: https://doi.org/10.1097/NCN.0b013e318224b597
Haddad NS, Istepanian R, Philip N, Khazaal FAK, Hamdan TA, Pickles T, et al. a feasibility study of mobile phone text messaging to support education and management of type 2 diabetes in Iraq. Diabetes Technol Ther. 2014;16(7):454-9. DOI: https://doi.org/10.1089/dia.2013.0272
Peterson A. Improving type 1 diabetes management with mobile tools: A systematic review. J Diabetes Sci Technol. 2014;8(4):859-64. DOI: https://doi.org/10.1177/1932296814529885
Posadzki P, Mastellos N, Ryan R, Lh G, Lm F, Pappas Y, et al. Automated telephone communication systems for preventive healthcare and management of long-term conditions. Cochrane Database Syst Rev. 2016 Dec 14;12:CD009921. DOI: https://doi.org/10.1002/14651858.CD009921.pub2
Nundy S, Dick J, Solomon M, Peek M.Developing a Behavioral Model for Mobile Phone-Based Diabetes Interventions. Patient Educ Couns. 2013 Jan;90(1):125-32. DOI: https://doi.org/10.1016/j.pec.2012.09.008
Zolfaghari M, Mousavifar SA, Pedram S, Haghani H. The impact of nurse short message services and telephone follow-ups on diabetic adherence: Which one is more effective? J Clin Nurs. 2012;21(13-14):1922-31. DOI: https://doi.org/10.1111/j.1365-2702.2011.03951.x