[1] |
石文惠, 沈丹洋, 苏玉娟, 等. 健康生活方式与疾病预防控制[J]. 中国公共卫生, 2020, 36(12): 1690 – 1692. doi: 10.11847/zgggws1132738
|
[2] |
Aleebrahim-Dehkordi E, Deravi N, Reyhanian A, et al. Chronic non-communicable diseases in the epidemic (COVID-19): investiga-tion of risk factors, control and care[J]. Przeglad Epidemiologiczny, 2020, 74(3): 449 – 456.
|
[3] |
Kazibwe J, Tran PB, Annerstedt KS. The household financial burden of non-communicable diseases in low- and middle-income countries: a systematic review[J]. Health Research Policy and Systems, 2021, 19(1): 96. doi: 10.1186/s12961-021-00732-y
|
[4] |
Maimela E, Alberts M, Bastiaens H, et al. Interventions for improving management of chronic non-communicable diseases in Dikgale, a rural area in Limpopo Province, South Africa[J]. BMC Health Services Research, 2018, 18(1): 331. doi: 10.1186/s12913-018-3085-y
|
[5] |
Allegrante JP, Wells MT, Peterson JC. Interventions to support behavioral self-management of chronic diseases[J]. Annual Review of Public Health, 2019, 40(1): 127 – 146. doi: 10.1146/annurev-publhealth-040218-044008
|
[6] |
Pinchera B, DelloIacono D, Lawless CA. Best practices for patient self-management: implications for nurse educators, patient educa-tors, and program developers[J]. The Journal of Continuing Education in Nursing, 2018, 49(9): 432 – 440. doi: 10.3928/00220124-20180813-09
|
[7] |
Bartlett SJ, Lambert SD, McCusker J, et al. Self-management across chronic diseases: targeting education and support needs[J]. Patient Education and Counseling, 2020, 103(2): 398 – 404. doi: 10.1016/j.pec.2019.08.038
|
[8] |
Obro LF, Heiselberg K, Krogh PG, et al. Combining mHealth and health-coaching for improving self-management in chronic care. A scoping review[J]. Patient Education and Counseling, 2021, 104(4): 680 – 688. doi: 10.1016/j.pec.2020.10.026
|
[9] |
Kruse C, Betancourt J, Ortiz S, et al. Barriers to the use of mobile health in improving health outcomes in developing countries: systematic review[J]. Journal of Medical Internet Research, 2019, 21(10): e13263. doi: 10.2196/13263
|
[10] |
Slater H, Campbell JM, Stinson JN, et al. End user and imple-menter experiences of mHealth technologies for noncommunicable chronic disease management in young adults: systematic review[J]. Journal of Medical Internet Research, 2017, 19(12): e406. doi: 10.2196/jmir.8888
|
[11] |
Fedele DA, Cushing CC, Fritz A, et al. Mobile health interventions for improving health outcomes in youth: a meta-analysis[J]. JAMA Pediatrics, 2017, 171(5): 461 – 469. doi: 10.1001/jamapediatrics.2017.0042
|
[12] |
Rathbone AL, Prescott J. The use of mobile apps and SMS messaging as physical and mental health interventions: systematic review[J]. Focus, 2018, 16(4): 456 – 465. doi: 10.1176/appi.focus.16406
|
[13] |
McKay FH, Cheng C, Wright A, et al. Evaluating mobile phone applications for health behaviour change: a systematic review[J]. Journal of Telemedicine and Telecare, 2018, 24(1): 22 – 30. doi: 10.1177/1357633X16673538
|
[14] |
Kao CK, Liebovitz DM. Consumer mobile health apps: current state, barriers, and future directions[J]. PM&R, 2017, 9(5S): S106 – S115.
|
[15] |
Lv Q, Jiang YT, Qi J, et al. Using mobile apps for health manage-ment: a new health care mode in China[J]. JMIR mHealth and uHealth, 2019, 7(6): e10299. doi: 10.2196/10299
|
[16] |
Ernsting C, Dombrowski SU, Oedekoven M, et al. Using smart-phones and health apps to change and manage health behaviors: a population-based survey[J]. Journal of Medical Internet Research, 2017, 19(4): e101. doi: 10.2196/jmir.6838
|
[17] |
Lu L, Zhang JY, Xie Y, et al. Wearable health devices in health care: narrative systematic review[J]. JMIR mHealth and uHealth, 2020, 8(11): e18907. doi: 10.2196/18907
|
[18] |
徐艳, 熊小玲, 刘杰, 等. 江西省城乡居民心血管病高危因素流行现状及其影响因素分析[J]. 中国公共卫生, 2020, 36(1): 66 – 69. doi: 10.11847/zgggws1122507
|
[19] |
Aggarwal M, Aggarwal B, Rao J. Integrative medicine for cardiovas-cular disease and prevention[J]. Medical Clinics of North America, 2017, 101(5): 895 – 923. doi: 10.1016/j.mcna.2017.04.007
|
[20] |
Dale LP, Dobson R, Whittaker R, et al. The effectiveness of mobile-health behaviour change interventions for cardiovascular disease self-management: a systematic review[J]. European Journal of Preventive Cardiology, 2016, 23(8): 801 – 817. doi: 10.1177/2047487315613462
|
[21] |
Coorey GM, Neubeck L, Mulley J, et al. Effectiveness, accep-tability and usefulness of mobile applications for cardiovascular disease self-management: systematic review with meta-synthesis of quantitative and qualitative data[J]. European Journal of Preventive Cardiology, 2018, 25(5): 505 – 521. doi: 10.1177/2047487317750913
|
[22] |
Tahir H, Tahir R, McDonald-Maier K. On the security of consumer wearable devices in the internet of things[J]. PLoS One, 2018, 13(4): e0195487. doi: 10.1371/journal.pone.0195487
|
[23] |
Abaza H, Marschollek M. mHealth application areas and techno-logy combinations. A comparison of literature from high and low/middle income countries[J]. Methods of Information in Medicine, 2017, 56(7): e105 – e122.
|
[24] |
Henriksen A, Mikalsen MH, Woldaregay AZ, et al. Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables[J]. Journal of Medical Internet Research, 2018, 20(3): e110. doi: 10.2196/jmir.9157
|
[25] |
Brickwood KJ, Watson G, O'brien J, et al. Consumer-based wear-able activity trackers increase physical activity participation: syste-matic review and meta-analysis[J]. JMIR mHealth and uHealth, 2019, 7(4): e11819. doi: 10.2196/11819
|
[26] |
Pevnick JM, Birkeland K, Zimmer R, et al. Wearable technology for cardiology: an update and framework for the future[J]. Trends in Cardiovascular Medicine, 2018, 28(2): 144 – 150. doi: 10.1016/j.tcm.2017.08.003
|
[27] |
Tang YH, Chong MC, Chua YP, et al. The effect of mobile messaging apps on cardiac patient knowledge of coronary artery disease risk factors and adherence to a healthy lifestyle[J]. Journal of Clinical Nursing, 2018, 27(23/24): 4311 – 4320.
|
[28] |
DeVore AD, Wosik J, Hernandez AF. The future of wear-ables in heart failure patients[J]. JACC:Heart Failure, 2019, 7(11): 922 – 932. doi: 10.1016/j.jchf.2019.08.008
|
[29] |
Chen C, Li X, Sun LS, et al. Post-discharge short message service improves short-term clinical outcome and self-care behaviour in chronic heart failure[J]. ESC Heart Failure, 2019, 6(1): 164 – 173. doi: 10.1002/ehf2.12380
|
[30] |
Fuchs FD, Whelton PK. High blood pressure and cardiovascular disease[J]. Hypertension, 2020, 75(2): 285 – 292. doi: 10.1161/HYPERTENSIONAHA.119.14240
|
[31] |
Qu Z, Parry M, Liu F, et al. Self-management and blood pressure control in China: a community-based multicentre cross-sectional study[J]. BMJ Open, 2019, 9(3): e025819. doi: 10.1136/bmjopen-2018-025819
|
[32] |
Contreras EM, Rivero SM, García ER, et al. Specific hypertension smartphone application to improve medication adherence in hyper-tension: a cluster-randomized trial[J]. Current Medical Research and Opinion, 2019, 35(1): 167 – 173. doi: 10.1080/03007995.2018.1549026
|
[33] |
Vargas G, Cajita MI, Whitehouse E, et al. Use of short messaging service for hypertension management: a systematic review[J]. The Journal of Cardiovascular Nursing, 2017, 32(3): 260 – 270. doi: 10.1097/JCN.0000000000000336
|
[34] |
Lu XM, Yang HJ, Xia X, et al. Interactive mobile health interven-tion and blood pressure management in adults[J]. Hypertension, 2019, 74(3): 697 – 704. doi: 10.1161/HYPERTENSIONAHA.119.13273
|
[35] |
Li R, Liang N, Bu FL, et al. The effectiveness of self-management of hypertension in adults using mobile health: systematic review and meta-analysis[J]. JMIR mHealth and uHealth, 2020, 8(3): e17776. doi: 10.2196/17776
|
[36] |
王文静, 洪静芳, 秦玉霞, 等. 慢性病患者对移动健康管理接受现状的研究进展[J]. 中华护理杂志, 2017, 52(10): 1265 – 1268. doi: 10.3761/j.issn.0254-1769.2017.10.023
|
[37] |
Kapoor A, Nambisan P, Baker E. Mobile applications for breast cancer survivorship and self-management: a systematic review[J]. Health Informatics Journal, 2020, 26(4): 2892 – 2905. doi: 10.1177/1460458220950853
|
[38] |
Davis SW, Oakley-Girvan I. Achieving value in mobile health app-lications for cancer survivors[J]. Journal of Cancer Survivorship, 2017, 11(4): 498 – 504. doi: 10.1007/s11764-017-0608-1
|
[39] |
Ahmed I, Ahmad NS, Ali S, et al. Medication adherence apps: review and content analysis[J]. JMIR mHealth and uHealth, 2018, 6(3): e62. doi: 10.2196/mhealth.6432
|
[40] |
Ali EE, Chan SSL, Leow JL, et al. User acceptance of an app-based adherence intervention: perspectives from patients taking oral anticancer medications[J]. Journal of Oncology Pharmacy Practice, 2019, 25(2): 390 – 397. doi: 10.1177/1078155218778106
|
[41] |
Wu YN, Liang YR, Zhou Q, et al. Effectiveness of a short message service intervention to motivate people with positive results in preliminary colorectal cancer screening to undergo colonoscopy: a randomized controlled trial[J]. Cancer, 2019, 125(13): 2252 – 2261. doi: 10.1002/cncr.32043
|
[42] |
Xie M, Liu XS, Cao XP, et al. Trends in prevalence and incidence of chronic respiratory diseases from 1990 to 2017[J]. Respiratory Research, 2020, 21(1): 49. doi: 10.1186/s12931-020-1291-8
|
[43] |
Labaki WW, Han MK. Chronic respiratory diseases: a global view[J]. The Lancet Respiratory Medicine, 2020, 8(6): 531 – 533. doi: 10.1016/S2213-2600(20)30157-0
|
[44] |
Sleurs K, Seys SF, Bousquet J, et al. Mobile health tools for the management of chronic respiratory diseases[J]. Allergy, 2019, 74(7): 1292 – 1306.
|
[45] |
Viegi G, Maio S, Fasola S, et al. Global burden of chronic respira-tory diseases[J]. Journal of Aerosol Medicine and Pulmonary Drug Delivery, 2020, 33(4): 171 – 177. doi: 10.1089/jamp.2019.1576
|
[46] |
Katwa U, Rivera E. Asthma management in the era of smart-medicine: devices, gadgets, apps and telemedicine[J]. The Indian Journal of Pediatrics, 2018, 85(9): 757 – 762. doi: 10.1007/s12098-018-2611-6
|
[47] |
Farzandipour M, Nabovati E, Sharif R, et al. Patient self-management of asthma using mobile health applications: a syste-matic review of the functionalities and effects[J]. Applied Clinical Informatics, 2017, 8(4): 1068 – 1081. doi: 10.4338/ACI-2017-07-R-0116
|
[48] |
Prabhakaran L, Wei YC. Effectiveness of the eCARE programme: a short message service for asthma monitoring[J]. BMJ Health and Care Informatics, 2019, 26(1): e100007. doi: 10.1136/bmjhci-2019-100007
|
[49] |
Poowuttikul P, Seth D. New concepts and technological resources in patient education and asthma self-management[J]. Clinical Reviews in Allergy and Immunology, 2020, 59(1): 19 – 37. doi: 10.1007/s12016-020-08782-w
|
[50] |
Himes BE, Leszinsky L, Walsh R, et al. Mobile health and inhaler-based monitoring devices for asthma management[J]. The Journal of Allergy and Clinical Immunology: In Practice, 2019, 7(8): 2535 – 2543. doi: 10.1016/j.jaip.2019.08.034
|
[51] |
Wu CT, Li GH, Huang CT, et al. Acute exacerbation of a chronic obstructive pulmonary disease prediction system using wearable device data, machine learning, and deep learning: development and cohort study[J]. JMIR mHealth and uHealth, 2021, 9(5): e22591. doi: 10.2196/22591
|
[52] |
Yousuf A, Ibrahim W, Greening NJ, et al. T2 biologics for chronic obstructive pulmonary disease[J]. The Journal of Allergy and Clinical Immunology:In Practice, 2019, 7(5): 1405 – 1416. doi: 10.1016/j.jaip.2019.01.036
|
[53] |
Martínez-García MDM, Ruiz-Cárdenas JD, Rabinovich RA. Effectiveness of smartphone devices in promoting physical activity and exercise in patients with chronic obstructive pulmonary disease: a systematic review[J]. COPD:Journal of Chronic Obstructive Pulmonary Disease, 2017, 14(5): 543 – 551. doi: 10.1080/15412555.2017.1358257
|
[54] |
Yang F, Wang YC, Yang CM, et al. Mobile health applications in self-management of patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis of their efficacy[J]. BMC Pulmonary Medicine, 2018, 18(1): 147. doi: 10.1186/s12890-018-0671-z
|
[55] |
Ojeda IC, Calderon JC, Jove OL, et al. What kind of information and communication technologies do patients with COPD prefer to use? A cross-sectional study in Latin America[J]. Chronic Respira-tory Disease, 2018, 15(3): 286 – 295. doi: 10.1177/1479972317741895
|
[56] |
Dankwa-Mullan I, Rivo M, Sepulveda M, et al. Transforming diabetes care through artificial intelligence: the future is here[J]. Population Health Management, 2019, 22(3): 229 – 242. doi: 10.1089/pop.2018.0129
|
[57] |
Santi E, Tascini G, Toni G, et al. Linear growth in children and adolescents with type 1 diabetes mellitus[J]. International Journal of Environmental Research and Public Health, 2019, 16(19): 3677. doi: 10.3390/ijerph16193677
|
[58] |
Mayberry LS, Lyles CR, Oldenburg B, et al. mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes[J]. Current Diabetes Reports, 2019, 19(12): 148. doi: 10.1007/s11892-019-1280-9
|
[59] |
姚静静, 王海鹏, 韩开益, 等. 2型糖尿病患者自我效能状况及与血糖控制关系[J]. 中国公共卫生, 2019, 35(1): 86 – 88. doi: 10.11847/zgggws1119499
|
[60] |
Chatterjee S, Davies MJ, Heller S, et al. Diabetes structured self-management education programmes: a narrative review and current innovations[J]. The Lancet Diabetes and Endocrinology, 2018, 6(2): 130 – 142. doi: 10.1016/S2213-8587(17)30239-5
|
[61] |
Almutairi N, Hosseinzadeh H, Gopaldasani V. The effectiveness of patient activation intervention on type 2 diabetes mellitus glycemic control and self-management behaviors: a systematic review of RCTs[J]. Primary Care Diabetes, 2020, 14(1): 12 – 20. doi: 10.1016/j.pcd.2019.08.009
|
[62] |
Masupe TK, Ndayi K, Tsolekile L, et al. Redefining diabetes and the concept of self-management from a patient′s perspective: impli-cations for disease risk factor management[J]. Health Education Research, 2018, 33(1): 40 – 54. doi: 10.1093/her/cyx077
|
[63] |
Shan RZ, Sarkar S, Martin SS. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art[J]. Diabetologia, 2019, 62(6): 877 – 887. doi: 10.1007/s00125-019-4864-7
|
[64] |
Bruttomesso D, Laviola L, Avogaro A, et al. The use of real time continuous glucose monitoring or flash glucose monitoring in the management of diabetes: a consensus view of Italian diabetes experts using the Delphi method[J]. Nutrition, Metabolism and Cardiovascular Diseases, 2019, 29(5): 421 – 431. doi: 10.1016/j.numecd.2019.01.018
|
[65] |
Cappon G, Vettoretti M, Sparacino G, et al. Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications[J]. Diabetes and Metabolism Journal, 2019, 43(4): 383 – 397. doi: 10.4093/dmj.2019.0121
|
[66] |
Levesque C. Therapeutic lifestyle changes for diabetes mellitus[J]. Nursing Clinics of North America, 2017, 52(4): 679 – 692. doi: 10.1016/j.cnur.2017.07.012
|
[67] |
Sun C, Malcolm JC, Wong B, et al. Improving glycemic control in adults and children with type 1 diabetes with the use of smartphone-based mobile applications: a systematic review[J]. Canadian Journal of Diabetes, 2019, 43(1): 51 – 58.e3. doi: 10.1016/j.jcjd.2018.03.010
|
[68] |
Franssen WMA, Franssen GHLM, Spaas J, et al. Can consumer wearable activity tracker-based interventions improve physical activity and cardiometabolic health in patients with chronic diseases? A systematic review and meta-analysis of randomised controlled trials[J]. International Journal of Behavioral Nutrition and Physical Activity, 2020, 17(1): 57. doi: 10.1186/s12966-020-00955-2
|
[69] |
Strain T, Wijndaele K, Dempsey PC, et al. Wearable-device-measured physical activity and future health risk[J]. Nature Medicine, 2020, 26(9): 1385 – 1391. doi: 10.1038/s41591-020-1012-3
|
[70] |
Eberle C, Löhnert M, Stichling S. Effectiveness of disease-specific mHealth apps in patients with diabetes mellitus: scoping review[J]. JMIR mHealth and uHealth, 2021, 9(2): e23477. doi: 10.2196/23477
|