1. Ulmer U, Adamiec R. Psychomotor disorders of the ageing and problems of institutional care in Poland. Fam Med Prim Care Rev 2023; 25(2): 227–231, doi: 10.5114/fmpcr.2023.127858.
2.
Trnka J, Gęsicki M, Susło R, et al. Death as a result of violent asphyxia in autopsy reports. Advances in Experimental Medicine and Biology 2013; 788: 413–416, doi: 10.1007/978-94-007-6627-3_56.
3.
Susło A, Mizia S, Pochybełko E, et al. Loneliness among elderly people as a public health threat. Fam Med Prim Care Rev 2023; 25(1): 107–110, doi: 10.5114/fmpcr.2023.126026.
4.
Susło A, Mizia S, Horoch-Łyszczarek E, et al. The future of care and healthcare provision to community-dwelling disabled elderly people in an ageing society. Fam Med Prim Care Rev 2023; 25(1): 102–106, doi: 10.5114/fmpcr.2023.126025.
5.
Wróblewska I, Talarska D, Wróblewska Z, et al. Pain and symptoms of depression: international comparative study on selected factors affecting the quality of life of elderly people residing in institutions in Europe. BMC Geriatr 2019; 19: 147, doi: 10.1186/s12877-019-1164-5.
6.
Susło R, Trnka J, Siewiera J, et al. Ondine’s Curse – Genetic and Iatrogenic Central Hypoventilation as Diagnostic Options in Forensic Medicine. Adv Exp Med Biol 2015; 861: 65–73, doi: 10.1007/5584_2015_143.
7.
Susło R, Trnka J, Siewiera J, et al. Hypoxia-Related Brain Dysfunction in Forensic Medicine. Adv Exp Med Biol 2015; 837: 49–56, doi: 10.1007/5584_2014_84.
8.
Trnka J, Drobnik J, Susło R. The role of primary care physicians in enabling validation of a patient’s ability to make legal statements and express a last will. Fam Med Prim Care Rev 2017; 19(3): 319–322, doi: 10.5114/fmpcr.2017.69298.
9.
Drobnik J, Trnka J, Susło R. Ambushes related to collecting patients’ consent for medical procedures by family doctors. Fam Med Prim Care Rev 2017; 19(3): 298–302, doi: 10.5114/fmpcr.2017.69294.
10.
Furtak-Pobrotyn J, Pobrotyn P, Witczak I, et al. The effect of modern medical technology on the availability and cost of cataract treatment in older patients. Fam Med Prim Care Rev 2018; 20(3): 222–226, doi: 10.5114/fmpcr.2018.78255.
11.
Pobrotyn P, Pasieczna A, Diakowska D, et al. Evaluation of Frailty Syndrome and Adherence to Recommendations in Elderly Patients with Hypertension. J Clin Med 2021; 10(17): 3771, doi: 10.3390/jcm10173771.
12.
Pobrotyn P, Mazur G, Kałużna-Oleksy M, et al. The Level of Self-Care among Patients with Chronic Heart Failure. Healthcare 2021; 9(9): 1179, doi: 10.3390/healthcare9091179.
13.
Wróblewska I, Zborowska I, Dąbek A, et al. Health status, health behaviors, and the ability to perform everyday activities in Poles aged ≥ 65 years staying in their home environment. Clin Interv Aging 2018; 13: 355–363, doi: 10.2147/CIA.S152456.
14.
Pobrotyn P, Susło R, Witczak I, et al. An analysis of the costs of treating aged patients in a large clinical hospital in Poland under the pressure of recent demo-graphic trends. Arch Med Sci 2020; 16(3): 666–671, doi: 10.5114/aoms.2018.81132.
15.
Furtak-Pobrotyn J, Pobrotyn P, Rypicz Ł, et al. Forced prolonged hospital stays as a manifestation of the dysfunction of the Polish long-term care system. Fam Med Prim Care Rev 2018; 20(3): 218–221, doi: 10.5114/fmpcr.2018.78254.
16.
Trnka J, Drobnik J, Susło R. The specificity of the doctor-patient relationship in the case of the family doctor. Fam Med Prim Care Rev 2010; 12(2): 488–490.
17.
Paplicki M, Susło R, Dopierała K, et al. Systemic aspects of securing the health safety of the elderly. Fam Med Prim Care Rev 2018; 20(3): 267–270, doi: 10.5114/fmpcr.2018.78272.
18.
Paplicki M, Susło R, Najjar N, et al. Conflict of individual freedom and community health safety: legal conditions on mandatory vaccinations and changes in the judicial approach in the case of avoidance. Fam Med Prim Care Rev 2018; 20(4): 389–395, doi: 10.5114/fmpcr.2018.80081.
19.
Susło R, Pobrotyn P, Brydak L, et al. Seasonal Influenza and Low Flu Vaccination Coverage as Important Factors Modifying the Costs and Availability of Hospital Services in Poland: A Retrospective Comparative Study. Int J Environ Res Public Health 2021; 18(10): 5173, doi: 10.3390/ijerph18105173.
20.
Drobnik J, Susło R, Pobrotyn P, et al. COVID-19 among Healthcare Workers in the University Clinical Hospital in Wroclaw, Poland. Int J Environ Res Public Health 2021; 18(11): 5600, doi: 10.3390/ijerph18115600.
21.
Susło R, Pobrotyn P, Mierzecki A, et al. Fear of Illness and Convenient Access to Vaccines Appear to Be the Missing Keys to Successful Vaccination Campaigns: Analysis of the Factors Influencing the Decisions of Hospital Staff in Poland concerning Vaccination against Influenza and COVID-19. Vaccines 2022; 10(7): 1026, doi: 10.3390/vaccines10071026.
22.
Paplicki M, Susło R, Benedikt A, et al. Effectively enforcing mandatory vaccination in Poland and worldwide. Fam Med Prim Care Rev 2020; 22(3): 252–256, doi: 10.5114/fmpcr.2020.98255.
23.
Susło R, Trnka J, Drobnik J, et al. The way of medical documents filling in as cause of faulty medical opinions. Fam Med Prim Care Rev 2009; 11(3): 506–508.
24.
Drobnik J, Pobrotyn P, Witczak IT, et al. Influenza as an important factor causing increased risk of patients’ deaths, excessive morbidity and prolonged hospi-tal stays. Arch Med Sci 2023; 19: 941–951, doi: 10.5114/aoms/138145.
25.
Susło R, Trnka J, Drobnik J. Current threats to medical data security in family doctors’ practices, Fam Med Prim Care Rev 2017; 9(3): 313–318, doi: 10.5114/fmpcr.2017.69297.
26.
Benedikt A, Susło R, Paplicki M, et al. Mediation as an alternative method of conflict resolution: a practical approach. Fam Med Prim Care Rev 2020; 22(3): 235–239, doi: 10.5114/fmpcr.2020.98252.
27.
Susło R, Paplicki M, Benedikt A, et al. Compensation for medical incidents as a result of out-of-court conciliatory proceedings by voivodship boards. Fam Med Prim Care Rev 2020; 22(3): 257–262, doi: 10.5114/fmpcr.2020.96923.
28.
Noben CY, Evers SM, Nijhuis FJ, et al. Quality appraisal of generic self-reported instruments measuring health-related productivity changes: a systematic review. BMC Public Health 2014; 14: 115, doi: 10.1186/1471-2458-14-115.
29.
Shayakul C, Teeraboonchaikul R, Susomboon T, et al. Medication adherence, complementary medicine usage and progression of diabetic chronic kidney disease in Thais. Patient Prefer Adherence 2022; 16: 467–477, doi: 10.2147/PPA.S350867.
30.
Huang AR, Mallet L, Rochefort CM, et al. Medication-related falls in the elderly: causative factors and preventive strategies. Drugs Aging 2012; 29(5): 359–376, doi: 10.2165/11599460-000000000-00000.
31.
Easthall C. Medication non-adherence as a complex health behavior: there is more to it than just missed doses. J Am Geriatr Soc 2019; 67(12): 2439–2440, doi: 10.1111/jgs.16143.
32.
Punnapurath S, Vijayakumar P, Platty PL, et al. A study of medication compliance in geriatric patients with chronic illness. J Family Med Prim Care 2021; 10(4): 1644–1648, doi: 10.4103/jfmpc.jfmpc_1302_20.
33.
Shruthi R, Jyothi R, Pundarikaksha HP, et al. A Study of Medication Compliance in Geriatric Patients with Chronic Illnesses at a Tertiary Care Hospital. J Clin Diagn Res 2016; 10(12): FC40–FC43, doi: 10.7860/JCDR/2016/21908.9088.
34.
Bosch-Lenders D, Denny WHA, Henri H, et al. Factors associated with appropriate knowledge of the indications for prescribed drugs among community-dwelling older patients with polypharmacy. Age Ageing 2016; 45(3): 402–408, doi: 10.1093/ageing/afw045.
35.
Mekonnen GB, Gelayee DA. Low medication knowledge and adherence to oral chronic medications among patients attending community pharmacies: a cross-sectional study in a low-income country. Biomed Res Int 2020; 1–8, doi: 10.1155/2020/4392058.
36.
Smith D, Lovell J, Weller C, et al. A systematic review of medication non-adherence in persons with dementia or cognitive impairment. PLoS ONE 2017; 12(2): e0170651, doi: 10.1371/journal.pone.0170651.
37.
Cho MH, Shin DW, Chang SA, et al. Association between cognitive impairment and poor antihypertensive medication adherence in elderly hypertensive patients without dementia. Sci Rep 2018; 8: 11688, doi: 10.1038/s41598-018-29974-7.
38.
Chung GC, Marottoli RA, Cooney LM, et al. Cost-related medication nonadherence among older adults: findings from a nationally representative sample. J Am Geriatr Soc 2019; 67(12): 2463–2473, doi: 10.1111/jgs.16141.
39.
Kennedy J, Tuleu I, Mackay K. Unfilled prescriptions of medicare beneficiaries: prevalence, reasons, and types of medicines prescribed. J Manag Care Pharm 2008; 14(6): 553–560, doi: 10.18553/jmcp.2008.14.6.553.
40.
Wamala S, Merlo J, Bostrom G, et al. Socioeconomic disadvantage and primary non-adherence with medication in Sweden. Int J Qual Health Care 2007; 19(3): 134–140, doi: 10.1093/intqhc/mzm011.
41.
Lozano-Hernández M, López-Rodríguez A, Leiva-Fernández F, et al. Social support, social context and nonadherence to treatment in young senior patients with multimorbidity and polypharmacy followed-up in primary care. MULTIPAP Study. PLoS ONE 2020; 15(6): e0235148, doi: 10.1371/journal.pone.0235148.
42.
Sinan O, Akyuz A. Effects of home visits on medication adherence of elderly individuals with diabetes and hypertension. East J Med 2019; 24(1): 8–14, doi: 10.5505/ejm.2019.71463.
43.
Cuffee L, Rosal M, Hargraves L, et al. Does home remedy use contribute to medication non adherence among blacks with hypertension? Ethn Dis 2020; 30(3): 451–458, doi: 10.18865/ed.30.3.451.
44.
Alfian S, Sukandar H, Arisanti N, et al. Complementary and alternative medicine use decreases adherence to prescribed medication in diabetes patients. Ann Trop Med Public Health 2016; 9(3): 174–179, doi: 10.4103/1755-6783.179108.
45.
Sakthong P, Chabunthom R, Charoenvisuthiwongs R. Psychometric properties of the Thai version of the 8-item Morisky Medication Adherence Scale in patients with type 2 diabetes. Ann Pharmacother 2009; 43(5): 950–957, doi: 10.1345/aph.1L453.
46.
de Oliveira-Filho AD, Morisky DE, Neves SJ, et al. The 8-item Morisky Medication Adherence Scale: validation of a Brazilian-Portuguese version in hypertensive adults. Res Social Adm Pharm 2014; 10(3): 554–561, doi: 10.1016/j.sapharm.2013.10.006.
47.
Kim CJ, Schlenk EA, Ahn JA, et al. Evaluation of the Measurement Properties of Self-reported Medication Adherence Instruments Among People at Risk for Metabolic Syndrome: A Systematic Review. Diabetes Educ 2016; 42(5): 618–634, doi: 10.1177/0145721716655400.
48.
Reynolds K, Viswanathan HN, O’Malley CD, et al. Psychometric properties of the Osteoporosis-specific Morisky Medication Adherence Scale in postmenopausal women with osteoporosis newly treated with bisphosphonates. Ann Pharmacother 2012; 46(5): 659–670, doi: 10.1345/aph.1Q652.
49.
Gagné M, Boulet LP, Pérez N, et al. Patient-reported outcome instruments that evaluate adherence behaviours in adults with asthma: a systematic review of measurement properties. Br J Clin Pharmacol 2018; 84(9): 1928–1940, doi: 10.1111/bcp.13623.
50.
Zhang Y, Wang R, Chen Q, et al. Reliability and validity of a modified 8-item Morisky Medication Adherence Scale in patients with chronic pain. Ann Palliat Med 2021; 10(8): 9088–9095, doi: 10.21037/apm-21-1878.
51.
Alhomoud F, Alhomoud F, Millar I. How effectively are your patients taking their medicines? A critical review of the Strathclyde Compliance Risk Assessment Tool in relation to the ‘MMAS’ and ‘MARS’. J Eval Clin Pract 2016; 22(3): 411–420, doi: 10.1111/jep.12501.
52.
Mangan JM, Woodruff RS, Winston CA, et al. Recommendations for Use of Video Directly Observed Therapy During Tuberculosis Treatment – United States, 2023. MMWR Morb Mortal Wkly Rep 2023; 72(12): 313–316, doi: 10.15585/mmwr.mm7212a4.
53.
Truong CB, Tanni KA, Qian J. Video-Observed Therapy Versus Directly Observed Therapy in Patients With Tuberculosis. Am J Prev Med 2022; 62(3): 450–458, doi: 10.1016/j.amepre.2021.10.013.
54.
Zheng S, Nath V, Coyne DW. ACE inhibitor-based, directly observed therapy for hypertension in hemodialysis patients. Am J Nephrol 2007; 27(5): 522–529, doi: 10.1159/000107490.
55.
Susło R, Trnka J, Drobnik J, et al. Influence of service, scientific and teaching activities of medical institutions on their information systems. Fam Med Prim Care Rev 2008; 10(3): 696–698.
56.
Susło R, Paplicki M, Dopierała K, et al. Fostering digital literacy in the elderly as a means to secure their health needs and human rights in the reality of the twenty-first century. Fam Med Prim Care Rev 2018; 20(3): 271–275, doi: 10.5114/fmpcr.2018.78273.
57.
Ridho A, Alfian SD, Boven JFM, van, et al. Digital Health Technologies to Improve Medication Adherence and Treatment Outcomes in Patients With Tuberculosis: Systematic Review of Randomized Controlled Trials. J Med Internet Res 2022; 24(2): e33062, doi: 10.2196/33062.
58.
Nglazi MD, Bekker LG, Wood R, et al. Mobile phone text messaging for promoting adherence to anti-tuberculosis treatment: a systematic review. BMC Infect Dis 2013; 13: 566, doi: 10.1186/1471-2334-13-566.
59.
Vodopivec-Jamsek V, Jongh T, de, Gurol-Urganci I, et al. Mobile phone messaging for preventive health care. Cochrane Database Syst Rev 2012; 12(12): CD007457, doi: 10.1002/14651858.CD007457.pub2.
60.
Collombon EHGM, Peels DA, Bolman CAW, et al. Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development Study. JMIR Form Res 2023; 7: e42394, doi: 10.2196/42394.
61.
Tabi K, Randhawa AS, Choi F, et al. Mobile Apps for Medication Management: Review and Analysis. JMIR Mhealth Uhealth 2019; 7(9): e13608, doi: 10.2196/13608.
62.
Caldwell K, Atwal A. Non-participant observation: using video tapes to collect data in nursing research. Nurse Res 2005; 13(2): 42–54, doi: 10.7748/nr2005.10.13.2.42.c5967.
63.
Kuijpers W, Groen WG, Aaronson NK, et al. A systematic review of web-based interventions for patient empowerment and physical activity in chronic diseases: relevance for cancer survivors. J Med Internet Res 2013; 15(2): e37, doi: 10.2196/jmir.2281.
64.
Keats MR, Yu X, Sweeney Magee M, et al. Use of Wearable Activity-Monitoring Technologies to Promote Physical Activity in Cancer Survivors: Challenges and Opportunities for Improved Cancer Care. Int J Environ Res Public Health 2023; 20(6): 4784, doi: 10.3390/ijerph20064784.
65.
Hodkinson A, Kontopantelis E, Adeniji C, et al. Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults with Cardiometabolic Conditions: A Systematic Review and Meta-analysis. JAMA Netw Open 2019; 2(10): e1912895, doi: 10.1001/jamanetworkopen.2019.12895.
66.
Singh B, Zopf EM, Howden EJ. Effect and feasibility of wearable physical activity trackers and pedometers for increasing physical activity and improving health outcomes in cancer survivors: A systematic review and meta-analysis. J Sport Health Sci 2022; 11(2): 184–193, doi: 10.1016/j.jshs.2021.07.008.
67.
Sung J, Ahn KT, Cho BR, et al. Adherence to triple-component antihypertensive regimens is higher with single-pill than equivalent two-pill regimens: a randomized controlled trial. Clin Transl Sci 2021; 14(3): 1185–1192, doi: 10.1111/cts.12979.
68.
Davidson HE. When the Pill Box Isn’t Enough. Consult Pharm 2016; 31(5): 233, doi: 10.4140/TCP.n.2016.233.
69.
Mallion JM, Baguet JP, Siche JP, et al. Compliance, electronic monitoring and antihypertensive drugs. J Hypertens Suppl 1998; 16(1): S75–S79.
70.
Mallion JM, Dutrey-Dupagne C, Vaur L, et al. Benefits of electronic pillboxes in evaluating treatment compliance of patients with mild to moderate hyper-tension. J Hypertens 1996; 14(1): 137–144.
71.
Susło R, Drobnik J, Mastalerz-Migas A. Systemy zdalnej diagnostyki i monitoringu stanu zdrowia oraz medyczne testy domowe jako środki umacniające podmiotową rolę pacjenta w starzejącym się społeczeństwie. Lekarz POZ 2017; 3: 269–274.
72.
Mallion JM, Dutrey-Dupagne C, Vaur L, et al. Behavior of patients with mild-to-moderate arterial hypertension in relation to their treatment. Contribution of an electronic pillbox. Ann Cardiol Angeiol 1995; 44(10): 597–605.
73.
Horvath T, Azman H, Kennedy GE, et al. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev 2012; 2012(3): CD009756, doi: 10.1002/14651858.CD009756.
74.
Smith C, Gold J, Ngo TD, et al. Mobile phone-based interventions for improving contraception use. Cochrane Database Syst Rev 2015; 2015(6): CD011159, doi: 10.1002/14651858.CD011159.pub2.
75.
Palmer MJ, Barnard S, Perel P, et al. Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults. Cochrane Database Syst Rev 2018; 6(6): CD012675, doi: 10.1002/14651858.CD012675.pub2.
76.
Adler AJ, Martin N, Mariani J, et al. Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2017; 4(4): CD011851, doi: 10.1002/14651858.CD011851.pub2.
77.
Jongh T, de, Gurol-Urganci I, Vodopivec-Jamsek V, et al. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev 2012; 12(12): CD007459, doi: 10.1002/14651858.CD007459.pub2.
78.
Car J, Gurol-Urganci I, de Jongh T, et al. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev 2012; 7(7): CD007458, doi: 10.1002/14651858.CD007458.pub2.
79.
Perinpanathan T, Maiya S, van Velthoven MHH, et al. Mobile phone-based interventions for improving contraception use. Cochrane Database Syst Rev 2023; 7(7): CD011159, doi: 10.1002/14651858.CD011159.pub3.
80.
Chun-Hung L, Guan-Hsiung L, Wu-Chuan Y, et al. Chatbot-assisted therapy for patients with methamphetamine use disorder: a preliminary randomized controlled trial. Front Psychiatry 2023; 14: 1159399, doi: 10.3389/fpsyt.2023.1159399.
81.
Hout A, van der, Holtmaat K, Jansen F, et al. The eHealth self-management application ‘Oncokompas’ that supports cancer survivors to improve health-related quality of life and reduce symptoms: which groups benefit most? Acta Oncol 2021; 60(4): 403–411, doi: 10.1080/0284186X.2020.1851764.
82.
Park JYE, Li J, Howren A, et al. Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews. JMIR Mhealth Uhealth 2019; 7(1): e11919, doi: 10.2196/11919.
83.
Ralph JE, Sezgin E, Stanek CJ, et al. Improving medication adherence monitoring and clinical outcomes through mHealth: a randomized controlled trial protocol in pediatric stem cell transplant. PLoS ONE 2023; 18(8): e0289987, doi: 10.1371/journal.pone.0289987.
84.
Sneha S, Thalla S, Rischie I, et al. Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps. JMIR Diabetes 2021; 6(3): e17431, doi: 10.2196/17431.
85.
Souza Ferreira E, de, Aguiar Franco F, de, Dos Santos Lara MM, et al. The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis. BMC Health Serv Res 2023; 23(1): 855, doi: 10.1186/s12913-023-09879-6.
86.
Spaulding EM, Marvel FA, Piasecki RJ, et al. User Engagement with Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021; 5(1): e18834, doi: 10.2196/18834.
87.
Diaz-Skeete YM, McQuaid D, Akinosun AS, et al. Analysis of Apps with a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study. JMIR Mhealth Uhealth 2021; 9(11): e30674, doi: 10.2196/30674.
88.
Song Y, Chen H. Evaluating Chinese Mobile Health Apps for Ankylosing Spondylitis Management: Systematic App Search. JMIR Mhealth Uhealth 2021; 9(7): e27234, doi: 10.2196/27234.
89.
Lalloo C, Shah U, Birnie KA, et al. Commercially Available Smartphone Apps to Support Postoperative Pain Self-Management: Scoping Review. JMIR Mhealth Uhealth 2017; 5(10): e162, doi: 10.2196/mhealth.8230.
90.
Collado-Borrell R, Escudero-Vilaplana V, Ribed-Sánchez A, et al. Smartphone applications for cancer patients; what we know about them? Farm Hosp 2016; 40(1): 25–35, doi: 10.7399/fh.2016.40.1.8993.
91.
Mandracchia F, Llauradó E, Tarro L, et al. Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR Mhealth Uhealth 2020; 8(9): e18339, doi: 10.2196/18339.
92.
Choi YK, Demiris G, Lin SY, et al. Smartphone Applications to Support Sleep Self-Management: Review and Evaluation. J Clin Sleep Med 2018; 14(10): 1783–1790, doi: 10.5664/jcsm.7396.
93.
Godersky ME, Klein JW, Merrill JO, et al. Acceptability and feasibility of a mobile health application for video directly observed therapy of buprenorphine for opioid use disorders in an office-based setting. J Addict Med 2020; 14(4): 319–325, doi: 10.1097/ADM.0000000000000608.
94.
Darnton JB, Bhatraju EP, Beima-Sofie K, et al. „Sign Me Up”: a qualitative study of video observed therapy (VOT) for patients receiving expedited methadone take-homes during the COVID-19 pandemic. Addict Sci Clin Pract 2023; 18(1): 21, doi: 10.1186/s13722-023-00372-3.
95.
Story A, Aldridge RW, Smith CM, et al. Smartphone-enabled video-observed versus directly observed treatment for tuberculosis: a multicentre, analyst-blinded, randomised, controlled superiority trial. Lancet 2019; 393(10177): 1216–1224, doi: 10.1016/S0140-6736(18)32993-3.
96.
Chaulk CP, Belknap R. A public heath ‘selfie’ for treating tuberculosis? Int J Tuberc Lung Dis 2016; 20(5): 571, doi: 10.5588/ijtld.16.0232.
97.
Hallgren KA, Darnton J, Soth S, et al. Acceptability, feasibility, and outcomes of a clinical pilot program for video observation of methadone take-home dosing during the COVID-19 pandemic. J Subst Abuse Treat 2022; 143: 108896, doi: 10.1016/j.jsat.2022.108896.
98.
Alothman S, Yahya A, Rucker J, et al. Effectiveness of Interventions for Promoting Objectively Measured Physical Activity of Adults with Type 2 Diabetes: A Systematic Review. J Phys Act Health 2017; 14(5): 408–415, doi: 10.1123/jpah.2016-0528.
99.
Brickwood KJ, Watson G, O’Brien J, et al. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR Mhealth Uhealth 2019; 7(4): e11819.
100.
Baskerville R, Ricci-Cabello I, Roberts N, et al. Impact of accelerometer and pedometer use on physical activity and glycaemic control in people with Type 2 diabetes: a systematic review and meta-analysis. Diabet Med 2017; 34(5): 612–620, doi: 10.1111/dme.13331.
101.
Hodkinson A, Kontopantelis E, Adeniji C, et al. Interventions Using Wearable Physical Activity Trackers Among Adults with Cardiometabolic Conditions: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4(7): e2116382, doi: 10.1001/jamanetworkopen.2021.
102.
Jonkman NH, Schooten KS van, Maier AB, et al. eHealth interventions to promote objectively measured physical activity in community-dwelling older people. Maturitas 2018; 113: 32–39, doi: 10.1016/j.maturitas.2018.04.010.
103.
Abas SA, Ismail N, Zakaria Y, et al. A Gamified Real-time Video Observed Therapies (GRVOTS) Mobile App via the Modified Nominal Group Technique: Development and Validation Study. JMIR Serious Games 2023; 11: e43047, doi: 10.2196/43047.
104.
Tran S, Smith L, El-Den S, et al. The Use of Gamification and Incentives in Mobile Health Apps to Improve Medication Adherence: Scoping Review. JMIR Mhealth Uhealth 2022; 10(2): e30671, doi: 10.2196/30671.
105.
Rajani NB, Bustamante L, Weth D, et al. Engagement with Gamification Elements in a Smoking Cessation App and Short-term Smoking Abstinence: Quantitative Assessment. JMIR Serious Games 2023; 11: e39975, doi: 10.2196/39975.
106.
Rajani NB, Mastellos N, Filippidis FT. Impact of Gamification on the Self-Efficacy and Motivation to Quit of Smokers: Observational Study of Two Gamified Smoking Cessation Mobile Apps. JMIR Serious Games 2021; 9(2): e27290, doi: 10.2196/27290.
107.
Maher CA, Olds T, Vandelanotte C, et al. Gamification in a Physical Activity App: What Gamification Features Are Being Used, by Whom, and Does It Make a Difference? Games Health J 2022; 11(3): 193–199, doi: 10.1089/g4h.2021.0207.
108.
Oh YJ, Zhang J, Fang ML, et al. A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. Int J Behav Nutr Phys Act 2021; 18(1): 160, doi: 10.1186/s12966-021-01224-6.
109.
Aggarwal A, Tam CC, Wu D, et al. Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. J Med Internet Res 2023; 25: e40789, doi: 10.2196/40789.
