Contribution of mobile health applications to self-management by consumers: review of published evidence
Kevin Anderson A and Lynne M. Emmerton A B
+ Author Affiliations
- Author Affiliations
A School of Pharmacy, Curtin University, GPO Box U1987, Perth, WA 6845, Australia. Email: kevin.anderson2@postgrad.curtin.edu.au
B Corresponding author. Email: lynne.emmerton@curtin.edu.au
Australian Health Review 40(5) 591-597 https://doi.org/10.1071/AH15162
Submitted: 28 August 2015 Accepted: 31 October 2015 Published: 18 December 2015
Abstract
Objective The aim of the present study was to review the contribution of mobile health applications (‘apps’) to consumers’ self-management of chronic health conditions, and the potential for this practice to inform health policy, procedures and guidelines.
Methods A search was performed on the MEDLINE, Cochrane Library, ProQuest and Global Health (Ovid) databases using the search terms ‘mobile app*’, ‘self-care’, ‘self-monitoring’, ‘trial’, ‘intervention*’ and various medical conditions. The search was supplemented with manual location of emerging literature and government reports. Mapping review methods identified relevant titles and abstracts, followed by review of content to determine extant research, reports addressing the key questions, and gaps suggesting areas for future research. Available studies were organised by disease state, and presented in a narrative analysis.
Results Four studies describing the results of clinical trials were identified from Canada, England, Taiwan and Australia; all but the Australian study used custom-made apps. The available studies examined the effect of apps in health monitoring, reporting positive but not robust findings. Australian public policy and government reports acknowledge and support self-management, but do not address the potential contribution of mobile interventions.
Conclusions There are limited controlled trials testing the contribution of health apps to consumers’ self-management. Further evidence in this field is required to inform health policy and practice relating to self-management.
What is known about the topic? Australian health policy encourages self-care by health consumers to reduce expenditure in health services. A fundamental component of self-care in chronic health conditions is self-monitoring, which can be used to assess progress towards treatment goals, as well as signs and symptoms of disease exacerbation. An abundance of mobile health apps is available for self-monitoring.
What does this study add? A limited number of randomised control trials have assessed the clinical impact of health apps for self-monitoring. The body of evidence relating to current and long-term clinical impact is developing. Despite endorsing self-care, Australian health policy does not address the use and potential contribution of mobile health apps to health care.
What are the implications? Widespread and sustained use of validated mobile health apps for chronic health conditions should have potential to improve consumer independence, confidence and burden on health services in the longer term. However, a significant body of scientific evidence has not yet been established; this is mirrored in the lack of acknowledgement of health apps in Australian health policy referring to consumers’ self-management.
References
[1] Korhonen I, Parkka J, Van Gils M. Health monitoring in the home of the future. IEEE Eng Med Biol Mag 2003; 22 66–73.| Health monitoring in the home of the future.Crossref | GoogleScholarGoogle Scholar | 12845821PubMed |
[2] World Health Organization (WHO). The role of the pharmacist in self-care and self-medication. 1998. Available at: http://apps.who.int/medicinedocs/en/d/Jwhozip32e/3.1.html [verified 8 May 2015].
[3] Lin EH, Katon W, Von Korff M, Rutter C, Simon GE, Oliver M, Ciechanowski P, Ludman EJ, Bush T, Young B. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care 2004; 27 2154–60.
| Relationship of depression and diabetes self-care, medication adherence, and preventive care.Crossref | GoogleScholarGoogle Scholar | 15333477PubMed |
[4] DeWalt DA. Health literacy from A to Z: practical ways to communicate your health message. Diabetes Educ 2005; 2 A28
[5] Rothman R, Malone R, Bryant B, Horlen C, DeWalt D, Pignone M. The relationship between literacy and glycemic control in a diabetes disease-management program. Diabetes Educ 2004; 30 263–73.
| The relationship between literacy and glycemic control in a diabetes disease-management program.Crossref | GoogleScholarGoogle Scholar | 15095516PubMed |
[6] Lorig KR, Sobel DS, Stewart AL, Brown BW, Bandura A, Ritter P, Gonzalez VM, Laurent DD, Holman HR. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial. Med Care 1999; 37 5–14.
| Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: a randomized trial.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1MzjvFOgsA%3D%3D&md5=aa921242a01d3ccb4d68f5f674288ce5CAS | 10413387PubMed |
[7] Holman H, Lorig K. Patient self-management: a key to effectiveness and efficiency in care of chronic disease. Public Health Rep 2004; 119 239
| Patient self-management: a key to effectiveness and efficiency in care of chronic disease.Crossref | GoogleScholarGoogle Scholar | 15158102PubMed |
[8] Funnell MM, Brown TL, Childs BP, Haas LB, Hosey GM, Jensen B, Maryniuk M, Peyrot M, Piette JD, Reader D. National standards for diabetes self-management education. Diabetes Care 2009; 32 S87–94.
| National standards for diabetes self-management education.Crossref | GoogleScholarGoogle Scholar | 19118294PubMed |
[9] Chodosh J, Morton SC, Mojica W, Maglione M, Suttorp MJ, Hilton L, Rhodes S, Shekelle P. Meta-analysis: chronic disease self-management programs for older adults. Ann Intern Med 2005; 143 427–38.
| Meta-analysis: chronic disease self-management programs for older adults.Crossref | GoogleScholarGoogle Scholar | 16172441PubMed |
[10] Walford S, Gale E, Allison S, Tattersall R. Self-monitoring of blood-glucose: improvement of diabetic control. Lancet 1978; 311 732–5.
| Self-monitoring of blood-glucose: improvement of diabetic control.Crossref | GoogleScholarGoogle Scholar |
[11] Breland JY, McAndrew LM, Burns E, Leventhal EA, Leventhal H. Using the common sense model of self-regulation to review the effects of self-monitoring of blood glucose on glycemic control for non-insulin-treated adults with Type 2 diabetes. Diabetes Educ 2013; 39 541–59.
| Using the common sense model of self-regulation to review the effects of self-monitoring of blood glucose on glycemic control for non-insulin-treated adults with Type 2 diabetes.Crossref | GoogleScholarGoogle Scholar | 23749773PubMed |
[12] Harris MI, Cowie CC, Howie LJ. Self-monitoring of blood glucose by adults with diabetes in the United States population. Diabetes Care 1993; 16 1116–23.
| Self-monitoring of blood glucose by adults with diabetes in the United States population.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK3szoslSrsQ%3D%3D&md5=fe9a313bf6f40faaa473a71f0d350767CAS | 8375241PubMed |
[13] Jordan JE, Briggs AM, Brand CA, Osborne RH. Enhancing patient engagement in chronic disease self-management support initiatives in Australia: the need for an integrated approach. Med J Aust 2008; 189 S9–13.
| 19143585PubMed |
[14] Swan M. Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking. Int J Environ Res Public Health 2009; 6 492–525.
| Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking.Crossref | GoogleScholarGoogle Scholar | 19440396PubMed |
[15] Wright M. Telstra will build 429 new mobile towers in regional Australia. Telstra; 2015. Available at: https://exchange.telstra.com.au/2015/06/25/telstra-will-build-429-new-mobile-towers-in-regional-australia/ [verified 7 October 2015].
[16] Weiss BD, Palmer R. Relationship between health care costs and very low literacy skills in a medically needy and indigent Medicaid population. J Am Board Fam Pract 2004; 17 44
| Relationship between health care costs and very low literacy skills in a medically needy and indigent Medicaid population.Crossref | GoogleScholarGoogle Scholar | 15014052PubMed |
[17] Paterson GA, Nayda RJ, Paterson JA. Chronic condition self-management: working in partnership toward appropriate models for age and culturally diverse clients. Contemp Nurse 2012; 40 169–78.
| Chronic condition self-management: working in partnership toward appropriate models for age and culturally diverse clients.Crossref | GoogleScholarGoogle Scholar | 22554211PubMed |
[18] Gabrielle S, Jackson D, Mannix J. Older women nurses: health, ageing concerns and self-care strategies. J Adv Nurs 2008; 61 316–25.
| Older women nurses: health, ageing concerns and self-care strategies.Crossref | GoogleScholarGoogle Scholar | 18197866PubMed |
[19] Pan D, Dhall R, Lieberman A, Petitti DB. A mobile cloud-based Parkinson’s disease assessment system for home-based monitoring. JMIR Mhealth Uhealth 2015; 3 e29
| A mobile cloud-based Parkinson’s disease assessment system for home-based monitoring.Crossref | GoogleScholarGoogle Scholar | 25830687PubMed |
[20] Dahlke DV, Fair K, Hong YA, Beaudoin CE, Pulczinski J, Ory MG. Apps seeking theories: results of a study on the use of health behavior change theories in cancer survivorship mobile apps. JMIR Mhealth Uhealth 2015; 3 e31
[21] Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Inf Libr 2009; 26 91–108.
| A typology of reviews: an analysis of 14 review types and associated methodologies.Crossref | GoogleScholarGoogle Scholar |
[22] Al-Mardini M, Aloul F, Sagahyroon A, Al-Husseini L. Classifying obstructive sleep apnea using smartphones. J Biomed Inform 2014; 52 251–9.
| Classifying obstructive sleep apnea using smartphones.Crossref | GoogleScholarGoogle Scholar | 25038556PubMed |
[23] Stepnowsky CJ, Palau JJ, Gifford AL, Ancoli-Israel S. A self-management approach to improving continuous positive airway pressure adherence and outcomes. Behav Sleep Med 2007; 5 131–46.
| A self-management approach to improving continuous positive airway pressure adherence and outcomes.Crossref | GoogleScholarGoogle Scholar | 17441783PubMed |
[24] Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM. Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control. Diabetes Care 2002; 25 1159–71.
| Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control.Crossref | GoogleScholarGoogle Scholar | 12087014PubMed |
[25] Ritter PL, Ory MG, Laurent DD, Lorig K. Effects of chronic disease self-management programs for participants with higher depression scores: secondary analyses of an on-line and a small-group program. Transl Behav Med 2014; 4 398–406.
| Effects of chronic disease self-management programs for participants with higher depression scores: secondary analyses of an on-line and a small-group program.Crossref | GoogleScholarGoogle Scholar | 25584089PubMed |
[26] DeJesus RS, Howell L, Williams M, Hathaway J, Vickers KS. Collaborative care management effectively promotes self-panagement: patient evaluation of care management for depression in primary care. Postgrad Med 2014; 126 141–6.
| Collaborative care management effectively promotes self-panagement: patient evaluation of care management for depression in primary care.Crossref | GoogleScholarGoogle Scholar | 24685978PubMed |
[27] Risendal B, Dwyer A, Seidel R, Lorig K, Katzenmeyer C, Coombs L, Kellar-Guenther Y, Warren L, Franco A, Ory M. Adaptation of the Chronic Disease Self-Management Program for cancer survivors: feasibility, acceptability, and lessons for implementation. J Cancer Educ 2014; 29 762–71.
| Adaptation of the Chronic Disease Self-Management Program for cancer survivors: feasibility, acceptability, and lessons for implementation.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2cjpsVyruw%3D%3D&md5=586c5c8f317269e0c3a5a764eb0f9614CAS | 24903138PubMed |
[28] Lovell MR, Luckett T, Boyle FM, Phillips J, Agar M, Davidson PM. Patient education, coaching, and self-management for cancer pain. J Clin Oncol 2014; 32 1712–20.
| Patient education, coaching, and self-management for cancer pain.Crossref | GoogleScholarGoogle Scholar | 24799486PubMed |
[29] Traeger AC, Moseley GL, Hübscher M, Lee H, Skinner IW, Nicholas MK, Henschke N, Refshauge KM, Blyth FM, Main CJ. Pain education to prevent chronic low back pain: a study protocol for a randomised controlled trial. BMJ Open 2014; 4 e005505
| Pain education to prevent chronic low back pain: a study protocol for a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 24889854PubMed |
[30] Irvine AB, Russell H, Manocchia M, Mino DE, Glassen TC, Morgan R, Gau JM, Birney AJ, Ary DV. Mobile-web app to self-manage low back pain randomized controlled trial. J Med Internet Res 2015; 17 e1
| Mobile-web app to self-manage low back pain randomized controlled trial.Crossref | GoogleScholarGoogle Scholar | 25565416PubMed |
[31] North M, Wilkinson T, Bourne S. The impact of an electronic self-management system for patients with COPD. Eur Respir J 2014; 44 1413
[32] Zwerink M, van der Palen J, Kerstjens HA, van der Valk P, Brusse-Keizer M, Zielhuis G, Effing T. A community-based exercise programme in COPD self-management: two-year follow-up of the COPE-II study. Eur Respir J 2014; 44 1481–90.
[33] Manning VL, Hurley MV, Scott DL, Coker B, Choy E, Bearne LM. Education, self‐management, and upper extremity exercise training in people with rheumatoid arthritis: a randomized controlled trial. Arthritis Care Res 2014; 66 217–27.
| Education, self‐management, and upper extremity exercise training in people with rheumatoid arthritis: a randomized controlled trial.Crossref | GoogleScholarGoogle Scholar |
[34] Lefevre‐Colau MM, Buchbinder R, Regnaux JP, Roren A, Poiraudeau S, Boutron I. Self‐management education programmes for rheumatoid arthritis. Cochrane Libr 2014; 10 CD011338
[35] Shan S, Chang A, Chau J, Gardner G. Development of an evidence-based stroke self-management program to enhance post-stroke recovery. Int J Evid-Based Healthc 2014; 12 191
| Development of an evidence-based stroke self-management program to enhance post-stroke recovery.Crossref | GoogleScholarGoogle Scholar |
[36] Satink T, Cup EH, de Swart BJ, Nijhuis-van der Sanden MW. Self-management: challenges for allied healthcare professionals in stroke rehabilitation-a focus group study. Disabil Rehabil 2014; 37 1–8.
[37] Wu F, Laslett LL, Wills K, Oldenburg B, Jones G, Winzenberg T. Effects of individualized bone density feedback and educational interventions on osteoporosis knowledge and self-efficacy: a 12-yr prospective study. J Clin Densitom 2014; 17 466–72.
| Effects of individualized bone density feedback and educational interventions on osteoporosis knowledge and self-efficacy: a 12-yr prospective study.Crossref | GoogleScholarGoogle Scholar | 25220886PubMed |
[38] Ha M, Hu J, Petrini MA, McCoy TP. The effects of an educational self-efficacy intervention on osteoporosis prevention and diabetes self-management among adults with type 2 diabetes mellitus. Biol Res Nurs 2014; 16 357–67.
| The effects of an educational self-efficacy intervention on osteoporosis prevention and diabetes self-management among adults with type 2 diabetes mellitus.Crossref | GoogleScholarGoogle Scholar | 24413898PubMed |
[39] Jan R-H, Lee H-TS, Cheng S-C. Parents’ views of self-management for children with moderate to severe persistent asthma. Tzu Chi Med J 2014; 26 34–9.
| Parents’ views of self-management for children with moderate to severe persistent asthma.Crossref | GoogleScholarGoogle Scholar |
[40] Lin H-C, Chiang L-C, Wen T-N, Yeh K-W, Huang J-L. Development of online diary and self-management system on e-Healthcare for asthmatic children in Taiwan. Comput Methods Programs Biomed 2014; 116 299–310.
| Development of online diary and self-management system on e-Healthcare for asthmatic children in Taiwan.Crossref | GoogleScholarGoogle Scholar | 24947614PubMed |
[41] van Bragt S, van den Bemt L, Vaessen-Verberne A, Nieuwenhuis A, van Veen L, Brackel H, Hendriks H, Merkus P, Schermer T. Late-breaking abstract: effectiveness of individualized self management support for children with asthma in Dutch outpatient clinics, preliminary results of a randomized controlled trial. Eur Respir J 2014; 44 1159
[42] Wilson C, Rapp KI, Jack L, Hayes S, Post R, Malveaux F. Asthma risk profiles of children participating in an asthma education and management program. Am J Health Educ 2015; 46 13–23.
| Asthma risk profiles of children participating in an asthma education and management program.Crossref | GoogleScholarGoogle Scholar |
[43] Carson K, Schultz T, Barton C, Ali A, Brinn M, Tan J, Walters H, Smith B. Asthma self-management education with either regular healthcare professional review or written action plan or both in adults: a Cochrane review. Am J Respir Crit Care Med 2014; 189 A4561
[44] Elias P, Rajan NO, McArthur K, Dacso CC. InSpire to promote lung assessment in youth: evolving the self-management paradigms of young people with asthma. Med 20 2013; 2: e1
[45] Simon SD. Is the randomized clinical trial the gold standard of research? J Androl 2001; 22 938–43.
| 1:STN:280:DC%2BD3MnkvVCmsA%3D%3D&md5=73dbd993ece93d960dd697cfa569c8a0CAS | 11700857PubMed |
[46] Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Libr 2013; 11 CD010013
[47] Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone-based interactive self-care system improves asthma control. Eur Respir J 2011; 37 310–17.
| A mobile telephone-based interactive self-care system improves asthma control.Crossref | GoogleScholarGoogle Scholar | 20562122PubMed |
[48] Ryan D, Price D, Musgrave SD, Malhotra S, Lee AJ, Ayansina D, Sheikh A, Tarassenko L, Pagliari C, Pinnock H. Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial. BMJ 2012; 344 e1756
| 22446569PubMed |
[49] Department of Health, Western Australia. Chronic conditions self-management strategic framework 2011–2015. Department of Health; 2011. Available at: http://www.healthnetworks.health.wa.gov.au/docs/1112_CCSM_Strategic_Framework.pdf [verified 3 August 2015].
[50] Department of Health, Western Australia. National chronic disease strategy. 2011. Available at: http://www.health.gov.au/internet/main/publishing.nsf/Content/pq-ncds [verified 3 August 2015].
[51] Licskai CJ, Sands T, Ferrone M. Development and pilot testing of a mobile health solution for asthma self-management: asthma action plan smartphone application pilot study. Can Respir J 2013; 20 301–6.
[52] Canadian Thoracic Society. Canadian respiratory guidelines: Canadian Lung Association; 2015. Available at: http://www.respiratoryguidelines.ca/guideline/asthma [verified 3 August 2015].
[53] Juniper EF, Guyatt GH, Cox FM, Ferrie PJ, King DR. Development and validation of the Mini Asthma Quality of Life Questionnaire. Eur Respir J 1999; 14 32–8.
| Development and validation of the Mini Asthma Quality of Life Questionnaire.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1MvhvVemug%3D%3D&md5=dd4b3c3728c070c7bc37480c093ee8f1CAS | 10489826PubMed |
[54] Juniper EF, Bousquet J, Abetz L, Bateman ED, Comm G. Identifying ‘well-controlled’ and ‘not well-controlled’ asthma using the Asthma Control Questionnaire. Respir Med 2006; 100 616–21.
| Identifying ‘well-controlled’ and ‘not well-controlled’ asthma using the Asthma Control Questionnaire.Crossref | GoogleScholarGoogle Scholar | 16226443PubMed |
[55] Wigal JK, Stout C, Brandon M, Winder JA, McConnaughy K, Creer TL, Kotses H. The Knowledge, Attitude, and Self-Efficacy Asthma Questionnaire. Chest 1993; 199 1144–8.
[56] Ware J,, Kosinski M, Keller SDA. 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996; 34 220–33.
| 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.Crossref | GoogleScholarGoogle Scholar |
[57] Ware JE, Kosinski M, Keller SD. SF-12: How to score the SF-12 physical and mental health summary scales. Boston: Health Institute, New England Medical Center; 1995.
[58] Kirwan M, Vandelanotte C, Fenning A, Duncan M. Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial. J Med Internet Res 2013; 15 e235
| Diabetes self-management smartphone application for adults with type 1 diabetes: randomized controlled trial.Crossref | GoogleScholarGoogle Scholar | 24225149PubMed |
[59] Kenny R, Dooley B, Fitzgerald A. Developing mental health mobile apps: exploring adolescents’ perspectives. Health Informatics J 2014; 5 1460458214555041
[60] Blödt S, Pach D, Roll S, Witt CM. Effectiveness of app-based relaxation for patients with chronic low back pain (relaxback) and chronic neck pain (relaxneck): study protocol for two randomized pragmatic trials. Trials 2014; 15 490
| Effectiveness of app-based relaxation for patients with chronic low back pain (relaxback) and chronic neck pain (relaxneck): study protocol for two randomized pragmatic trials.Crossref | GoogleScholarGoogle Scholar | 25511185PubMed |
[61] Clarke J, Vatiliotis V, Verge C, Holmes-Walker J, Campbell L, Wilhelm K, Proudfoot J. A mobile phone and web-based intervention for improving mental well-being in young people with type 1 diabetes: design of a randomized controlled trial. JMIR Res Protoc 2015; 4 e50
| A mobile phone and web-based intervention for improving mental well-being in young people with type 1 diabetes: design of a randomized controlled trial.Crossref | GoogleScholarGoogle Scholar | 25944212PubMed |
[62] Cooper S, Foster K, Naughton F, Leonardi-Bee J, Sutton S, Ussher M, Leighton M, Montgomery A, Parrot S, Coleman T. Pilot study to evaluate a tailored text message intervention for pregnant smokers (MiQuit): study protocol for a randomised controlled trial. Trials 2015; 16 29
| Pilot study to evaluate a tailored text message intervention for pregnant smokers (MiQuit): study protocol for a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 25622639PubMed |
[63] Eyles H, McLean R, Neal B, Doughty R, Jiang Y, Mhurchu C. Using mobile technology to support lower-salt food choices for people with cardiovascular disease: protocol for the SaltSwitch randomized controlled trial. BMC Public Health 2014; 14 950
| Using mobile technology to support lower-salt food choices for people with cardiovascular disease: protocol for the SaltSwitch randomized controlled trial.Crossref | GoogleScholarGoogle Scholar | 25217039PubMed |
[64] Faurholt-Jepsen M, Vinberg M, Christensen EM, Frost M, Bardram J, Kessing LV. Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder: the MONARCA trial protocol (MONitoring, treAtment and pRediCtion of bipolAr disorder episodes): a randomised controlled single-blind trial. BMJ Open 2013; 3 e003353
| Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder: the MONARCA trial protocol (MONitoring, treAtment and pRediCtion of bipolAr disorder episodes): a randomised controlled single-blind trial.Crossref | GoogleScholarGoogle Scholar | 23883891PubMed |
[65] Broulik B. Easy deployment with phonegap. In: Pro jQuery Mobile: Apress; 2011. p. 227–47.
[66] Charland A, Leroux B. Mobile application development: web vs. native. Commun ACM 2011; 54 49–53.
| Mobile application development: web vs. native.Crossref | GoogleScholarGoogle Scholar |
[67] Kirwan M, Duncan MJ, Vandelanotte C, Mummery WK. Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case-control trial. J Med Internet Res 2012; 14 e55
| Using smartphone technology to monitor physical activity in the 10,000 Steps program: a matched case-control trial.Crossref | GoogleScholarGoogle Scholar | 22522112PubMed |
[68] Turner-McGrievy GM, Tate DF. Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions. Int J Med Inform 2014; 83 313–9.
| Are we sure that Mobile Health is really mobile? An examination of mobile device use during two remotely-delivered weight loss interventions.Crossref | GoogleScholarGoogle Scholar | 24556530PubMed |
[69] Perayil J, Suresh N, Fenol A, Vyloppillil R, Bhaskar A, Menon S. Comparison of glycated hemoglobin levels in individuals without diabetes and with and without periodontitis before and after non-surgical periodontal therapy. J Periodontol 2014; 85 1658–66.
| Comparison of glycated hemoglobin levels in individuals without diabetes and with and without periodontitis before and after non-surgical periodontal therapy.Crossref | GoogleScholarGoogle Scholar | 24968250PubMed |
[70] Quirce S, Contreras G, DyBuncio A, Chan-Yeung M. Peak expiratory flow monitoring is not a reliable method for establishing the diagnosis of occupational asthma. Am J Respir Crit Care Med 1995; 152 1100–2.
| Peak expiratory flow monitoring is not a reliable method for establishing the diagnosis of occupational asthma.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2Mzpt1ymtA%3D%3D&md5=ebbd1d66a1887b18bbca71accf09a30cCAS | 7663790PubMed |
[71] Perrin B, Lagier F, l’Archevêque J, Cartier A, Boulet L, Cote J, Malo J. Occupational asthma: validity of monitoring of peak expiratory flow rates and non-allergic bronchial responsiveness as compared to specific inhalation challenge. Eur Respir J 1992; 5 40–8.
| 1:STN:280:DyaK383kvFGlsA%3D%3D&md5=294c9bcb48978e1788aeb36358adc4c8CAS | 1577147PubMed |
[72] Benhamou PY, Melki V, Boizel R, Perreal F, Quesada JL, Bessieres-Lacombe S, Bosson JL, Halimi S, Hanaire H. One-year efficacy and safety of web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab 2007; 33 220–6.
| One-year efficacy and safety of web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study.Crossref | GoogleScholarGoogle Scholar | 17395516PubMed |
[73] Hundert AS, Huguet A, McGrath PJ, Stinson JN, Wheaton M. Commercially available mobile phone headache diary apps: a systematic review. JMIR Mhealth Uhealth 2014; 2 e36
| Commercially available mobile phone headache diary apps: a systematic review.Crossref | GoogleScholarGoogle Scholar | 25138438PubMed |
[74] Goh G, Tan NC, Malhotra R, Padmanabhan U, Barbier S, Allen JC, Østbye T. Short-term trajectories of use of a caloric-monitoring mobile phone app among patients with type 2 diabetes mellitus in a primary care setting. J Med Internet Res 2015; 17 e33
| Short-term trajectories of use of a caloric-monitoring mobile phone app among patients with type 2 diabetes mellitus in a primary care setting.Crossref | GoogleScholarGoogle Scholar | 25648130PubMed |
[75] Pan D, Dhall R, Lieberman A, Petitti DB. A mobile cloud-based Parkinson’s disease assessment system for home-based monitoring. JMIR Mhealth Uhealth 2015; 3 e29
| A mobile cloud-based Parkinson’s disease assessment system for home-based monitoring.Crossref | GoogleScholarGoogle Scholar | 25830687PubMed |
[76] Jordan JE, Osborne RH. Chronic disease self-management education programs: challenges ahead. Med J Aust 2007; 186 84
| 17223770PubMed |
[77] School Curriculum and Standards Authority. Health studies. 2015. Available at: http://www.scsa.wa.edu.au/internet/Senior_Secondary/Courses/WACE_Courses/Health_Studies [verified 7 October 2015].
[78] Australian Taxation Office. Individuals and sole traders. 2015. Available at: https://www.ato.gov.au/General/Online-services/Individuals/ [verified 7 October 2015].
[79] Palmerston Community Directory. Yoga for seniors. 2014. Available at: http://community.palmerston.nt.gov.au/australia/darwin/events/yoga-for-seniors-145 [verified 7 October 2015].
[80] Health Direct Australia. Yoga for beginners. 2013. Available at: http://www.healthdirect.gov.au/yoga-guide [verified 7 October 2015].
