Nield L, Bhanbhro S, Steers H, Young A, Fowler Davis S
Healthcare (Basel). 2023; 11(18).
PMID: 37761696
PMC: 10530582.
DOI: 10.3390/healthcare11182499.
Bul K, Holliday N, Bhuiyan M, Clark C, Allen J, Wark P
JMIR Hum Factors. 2023; 10:e43959.
PMID: 37556198
PMC: 10448291.
DOI: 10.2196/43959.
Ikolaba F, Schafheutle E, Steinke D
Pharmacy (Basel). 2023; 11(4).
PMID: 37489340
PMC: 10366846.
DOI: 10.3390/pharmacy11040109.
Klemme I, Wrona K, de Jong I, Dockweiler C, Aschentrup L, Albrecht J
JMIR Diabetes. 2023; 8:e38474.
PMID: 37104003
PMC: 10176130.
DOI: 10.2196/38474.
Li E, Tsopra R, Jimenez G, Serafini A, Gusso G, Lingner H
PLOS Digit Health. 2023; 1(5):e0000029.
PMID: 36812543
PMC: 9931239.
DOI: 10.1371/journal.pdig.0000029.
Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users' Acceptability and Acceptance.
Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M
JMIR Diabetes. 2023; 8:e41076.
PMID: 36692927
PMC: 9947812.
DOI: 10.2196/41076.
Evaluation of prototype risk prediction tools for clinicians and people living with type 2 diabetes in North West London using the think aloud method.
Gardner C, Wake D, Brodie D, Silverstein A, Young S, Cunningham S
Digit Health. 2023; 9:20552076221128677.
PMID: 36644660
PMC: 9834412.
DOI: 10.1177/20552076221128677.
Adapting a Patient-Reported Outcome Measure to Digital Outpatient Specialist Health Care Services for Type 1 Diabetes: User Involvement Study.
Holmen H, Singstad T, Ribu L, Jensen A, Weldingh N, Torbjornsen A
JMIR Hum Factors. 2022; 9(4):e38678.
PMID: 36378513
PMC: 9709667.
DOI: 10.2196/38678.
The Technology Acceptance of Video Consultations for Type 2 Diabetes Care in General Practice: Cross-sectional Survey of Danish General Practitioners.
Torp D, Sandbaek A, Praetorius T
J Med Internet Res. 2022; 24(8):e37223.
PMID: 36040765
PMC: 9472039.
DOI: 10.2196/37223.
Digital technologies in primary care: Implications for patient care and future research.
Neves A, Burgers J
Eur J Gen Pract. 2022; 28(1):203-208.
PMID: 35815445
PMC: 9278419.
DOI: 10.1080/13814788.2022.2052041.
A qualitative analysis of the needs and wishes of people with type 2 diabetes and healthcare professionals for optimal diabetes care.
Vasconcelos Silva C, Bird D, Clemensen J, Janda M, Catapan S, Fatehi F
Diabet Med. 2022; 39(9):e14886.
PMID: 35593646
PMC: 9544593.
DOI: 10.1111/dme.14886.
Development of a customized booklet of foot-ankle exercises for people with diabetes mellitus as a management and prevention tool for musculoskeletal complications: A customized booklet of foot-ankle exercises for people with diabetes.
Verissimo J, Sacco I, de Almeida M, Dallemole Sartor C, Suda E
Braz J Phys Ther. 2022; 26(3):100402.
PMID: 35569258
PMC: 9112097.
DOI: 10.1016/j.bjpt.2022.100402.
Integrating shared decision-making into primary care: lessons learned from a multi-centre feasibility randomized controlled trial.
Yu C, Medleg F, Choi D, Spagnuolo C, Pinnaduwage L, Straus S
BMC Med Inform Decis Mak. 2021; 21(1):323.
PMID: 34809626
PMC: 8609876.
DOI: 10.1186/s12911-021-01673-w.
Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes.
Ekezie W, Dallosso H, Saravanan P, Khunti K, Hadjiconstantinou M
BMC Health Serv Res. 2021; 21(1):772.
PMID: 34348719
PMC: 8337145.
DOI: 10.1186/s12913-021-06791-9.
Use of a do-it-yourself artificial pancreas system is associated with better glucose management and higher quality of life among adults with type 1 diabetes.
Wu Z, Luo S, Zheng X, Bi Y, Xu W, Yan J
Ther Adv Endocrinol Metab. 2020; 11:2042018820950146.
PMID: 32922721
PMC: 7453453.
DOI: 10.1177/2042018820950146.
Patients' and healthcare professionals' perspectives towards technology-assisted diabetes self-management education. A qualitative systematic review.
Jain S, Sui Y, Ng C, Chen Z, Goh L, Shorey S
PLoS One. 2020; 15(8):e0237647.
PMID: 32804989
PMC: 7430746.
DOI: 10.1371/journal.pone.0237647.
Impact of a "Chart Closure" Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study.
Ramirez M, Chen K, Follett R, Mangione C, Moreno G, Bell D
JMIR Med Inform. 2020; 8(4):e16421.
PMID: 32301741
PMC: 7195665.
DOI: 10.2196/16421.
Determining minimum set of features for diabetes mobile apps.
Salari R, Niakan Kalhori S, Fatehi F, Ghazisaeedi M, Nazari M
J Diabetes Metab Disord. 2020; 18(2):333-340.
PMID: 31890658
PMC: 6914742.
DOI: 10.1007/s40200-019-00417-y.
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.
El-Sappagh S, Ali F, Hendawi A, Jang J, Kwak K
BMC Med Inform Decis Mak. 2019; 19(1):97.
PMID: 31077222
PMC: 6511155.
DOI: 10.1186/s12911-019-0806-z.
Conformity of Diabetes Mobile apps with the Chronic Care Model.
Salari R, Niakan Kalhori S, Ghazisaeidi M, Fatehi F
BMJ Health Care Inform. 2019; 26(1).
PMID: 31039125
PMC: 7062315.
DOI: 10.1136/bmjhci-2019-000017.