UTILIZATION OF INFORMATION TECHNOLOGY IN PREVENTION OF DEPRESSION IN OLDER ADULTS

Abstract

Depression is a problem that often occurs in the older adults population. The use of technology in the implementation of health services has succeeded in increasing the effectiveness and quality of providing health services to patients. Several mobile apps that have been available have the potential to improve services for people with depression. The purpose of this study was to determine the use of information technology in preventing depression in older adults. This study uses a simple literature study method based on a specific theme from several databases including the Cumulative Index to Nursing and Allied Health Literature (CINAHL), ProQuest, and SAGE between 2014 and 2020. 27 journal articles that met the inclusion criteria passed the screening process using the PRISMA diagram. Research showed positive results in the use of technology for depressive conditions experienced by older adults. The importance of developing health applications in order to keep up with the conditions needs to be the attention of health workers. Easy, inexpensive, and attractive health applications can increase public curiosity and participation in the health sector.

Downloads

Download data is not yet available.

Author Biographies

Anung Ahadi Pradana, STIKes Mitra Keluarga
Nursing Departement
Junaiti Sahar, Universitas Indonesia
Community Nursing
Henny Permatasari, Universitas Indonesia
Community Nursing

References

Singh C, Sangwan S. Depression among senior citizens living with and without family. Indian J Heal Well -Being. 2019;10(1–3):65–8.

Silva V de L, Medeiros CACX de, Guerra GCB, Ferreira PHA, Junior RF de A, Junior SJ de A, et al. Quality of Life , Integrative Community Therapy , Family Support , and Satisfaction with Health Services Among Elderly Adults with and without Symptoms of Depression. Psychiatr Q. 2017;88:359–69.

Kementrian Kesehatan Republik Indonesia. Laporan Nasional Riset Kesehatan Dasar 2018. 1st ed. Jakarta: Kemenkes RI; 2018. 581 p.

Dinas Kesehatan Kota Depok. Profil Kesehatan Kota Depok 2018. Depok; 2018.

Berauk VLA, Murugiah MK, Soh YC, Sheng YC, Wong TW, Ming LC. Mobile Health Applications for Caring of Older People : Review and Comparison. Ther Innov Regul Sci. 2018;52(3):374–82.

Hung GC, Wang C, Chiang J. A Smartphone-Based Personalized Activity Recommender System for Patients with Depression. Eur Alliance Innov. 2015;16(9).

Salihu HM, Salinas-miranda A, Turner D, King L, Paothong A, Austin D, et al. Usability of Low-Cost Android Data Collection System for Community-Based Participatory Research. Prog Community Heal Partnerships Res Educ Action. 2016;10(2):265–75.

Martinengo L, Galen L Van, Lum E, Kowalski M, Subramaniam M, Car J. Suicide prevention and depression apps ’ suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines. BMC Med. 2019;17(231):1–13.

Clasen PC, Fisher AJ, Beevers CG. Mood-Reactive Self-Esteem and Depression Vulnerability : Person-Specific Symptom Dynamics via Smart Phone Assessment. PLOS One J. 2015;10(7):1–17.

Teles AS, Rocha A, José F, Lopes JC, Sullivan DO, Ven P Van De, et al. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness †. MDPI J. 2017;17(127):1–23.

Chung K, Jeon M, Park J, Lee S, Kim CO. Development and evaluation of a mobile- optimized daily self-rating depression screening app : A preliminary study. PLOS One J. 2018;13(6):1–13.

Dugas M, Gao GG, Agarwal R. Unpacking mHealth interventions : A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. Digit Heal. 2020;6:1–16.

Corden ME, Koucky EM, Brenner C, Palac HL, Soren A, Begale M, et al. DIGITAL MedLink : A mobile intervention to improve medication adherence and processes of care for treatment of depression in general medicine. Digit Heal. 2016;2:1–10.

Rodriguez-paras C, Sasangohar F. Usability Assessment of a Post-Traumatic Stress Disorder ( PTSD ) mHealth App. Proc Hum Factors Ergon Soc. 2017;1824–8.

Lal S. E-mental health : Promising advancements in policy , research , and practice. Healthc Manag Forum. 2019;32(2):56–62.

Lu C, Winkelman M, Wong SS. Tablet-based education to reduce depression-related stigma. Health Educ J. 2016;75(1):84–93.

Marshall JM, Dunstan DA, Bartik W. Clinical or gimmickal : The use and effectiveness of mobile mental health apps for treating anxiety and depression. Aust New Zeal J Psychiatry. 2020;54(1):20–8.

Marley J, Farooq S. Mobile telephone apps in mental health practice : uses , opportunities and challenges. R Coll Psychiatr. 2015;39:288–90.

Magee JC, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Ment Heal Prim Care Keywords. 2018;5:345–62.

Giosan C, Cobeanu O, Mogoa C, Szentágotai Tatar A, Muresan V, Boian R. Using a smartphone app to reduce cognitive vulnerability and mild depressive symptoms : Study protocol of an exploratory randomized controlled trial. Biomed Cent. 2016;17:1–13.

Lin L, Jing X, Lv S, Liang J, Tian L, Li H, et al. Mobile device use and the cognitive function and depressive symptoms of older adults living in residential care homes. BMC Geriatr. 2020;20(41):1–8.

Dokuzlar O, Soysal P, Usarel C, Isik AT. The evaluation and design of a short depression screening tool. Int Psychogeriatrics. 2020;30(10):1541–8.

Chao J, Luo P, Yeh Y. The study of learning effects of mobile devices courses for Taiwanese senior citizens using the Kirkpatrick model. Int J Electr Eng Educ. 2018;0(0):1–27.

Mckay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change : A systematic review. J Telemed Telecare. 2018;24(1):22–30.

Frueh BC. Solving Mental Healthcare Access Problems in the Twenty-first Century. Aust Psychol Soc. 2015;50:304–6.

Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L V, et al. Smartphones in mental health : a critical review of background issues , current status and future concerns. Int J Bipolar Disord. 2020;8(2):1–19.

Aryana B, Brewster L, Nocera JA. Design for mobile mental health : an exploratory review. Heal Technol J. 2018;

Renn BN, Arean PA. Psychosocial Treatment Options for Major Depressive Disorder in Older Adults. Geriatr Disord. 2017;4:1–12.

National Institute of Mental Health. Depression. 2018.

Miller CA. Nursing for Wellness in Older Adults: Sixth Edition. 6th ed. Philadelphia: Wolters Kluwer| Lippincott Williams & Wilkins; 2012. 636 p.

Bakhtiar K, Bastami F, Sharafkhani N, Almasian M. The Psychological Determinants of Self-Medication among the Elderly : An Explanation Based on the Health Belief Model. Elder Heal J. 2017;3(2):59–66.

Khorsandi M, Fekrizadeh Z, Roozbahani N. Investigation of the effect of education based on the health belief model on the adoption of hypertension-controlling behaviors in the elderly. Clin Interv Aging. 2017;12:233–40.

Choudrie J, Pheeraphuttranghkoon S, Davari S. The Digital Divide and Older Adult Population Adoption , Use and Diffusion of Mobile Phones : a Quantitative Study. Inf Syst Front. 2018;

Published
2021-06-24
Abstract viewed = 369 times