Effect of Remote Patient Monitoring and Patient Education on Patient Activation and Glycemic Control in Individuals With Type 2 Diabetes

NCT ID: NCT05541120

Last Updated: 2023-02-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

WITHDRAWN

Clinical Phase

NA

Study Classification

INTERVENTIONAL

Study Start Date

2022-10-18

Study Completion Date

2026-08-31

Brief Summary

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This is a randomized controlled trial of the use of Remote Patient Monitoring (RPM) compared to usual care among rural patients with poorly controlled type 2 diabetes. Usual care is defined as participation in Living Well with Diabetes/Virtual Diabetes Self-Management Program and Primary Care Provider evaluation and management at the providers' discretion, including medication adjustment or interventions, and other types of interventions depending on clinical judgement.

Detailed Description

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Effect of Remote Patient Monitoring and Patient Education on Patient Activation and Glycemic Control in Individuals with Type 2 Diabetes

Summary

ABSTRACT

In 2021, the MaineHealth Telehealth team was awarded a five-year, $1.7 million "Evidence-Based Telehealth Network Program" grant (EB TNPG) from Health Resources and Services Administration (HRSA). This grant is aimed at improving patient access to educational and management services for patients with type 2 diabetes in the rural Maine primary care setting by implementing RPM. The RPM devices will be used to transmit a participant's home point-of-care blood glucose values directly into MaineHealth's electronic medical record in real time. While there is strong evidence for diabetes self-management programs such as Living Well with Diabetes, the importance of patient engagement in clinical outcomes, the validity of the Patient Activation Measure (PAM-13®) survey to measure patient activation, and the overall efficacy of remote patient monitoring, there have been no randomized controlled trials looking at patient activation in remote patient monitoring in this important patient group. The investigators aim to address this in this study by conducting a randomized controlled trial of the use of RPM among rural patients with poorly controlled type 2 diabetes. The control group will have usual primary care provider care, including patient self-management tools, while the intervention group will have usual care + RPM.

The investigators hypothesize that participation in RPM will be associated with decreases in HbA1c, increases in patient activation as measured by PAM-13® survey, and that increases in patient activation will be associated with decreases in HbA1c.

STUDY PROCESS

The study will be conducted over 5 years, and participants will be enrolled on a continuous rolling basis, with 70 total RPM kits available at any one time from a 3rd party vendor, Health Recovery Solutions (HRS). The maximum total number of participants the study can accommodate is 700, with 350 participants in each arm. The study team hopes for total enrollment as close to 700 as possible, but understands that total enrollment may be significantly less than 700. Point-of-care blood glucose values from the RPM study arm will flow into MaineHealth's electronic medical record (Epic) in real time. Every other week, the values will be reviewed by a clinical pharmacist with expertise in diabetes management. If an intervention or adjustment in the patient's regimen is indicated, the pharmacist will reach out to the Primary Care Provider (PCP) team to make this recommendation. The RPM intervention for each participant will be 6 months, at which point HRS will collect the RPM electronic tablet, and the PAM-13® survey will be administered. At 9 months after enrollment, the third HbA1c value will be collected from the electronic medical record, and the third administration of PAM-13® will take place.

The PAM-13® survey will be administered through one of two methods 1) REDCap electronic form, the link for which will be sent to the participant by email, or 2) by telephone, administered by the Study Coordinator.

Recruitment of participants will continue through the early part of 2026. Data will be analyzed during spring and summer of 2026, and the grant's end date is August 31, 2026.

This study has been approved by MaineHealth's IRB as of Aug 5, 2022.

Conditions

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Diabetes Mellitus, Type 2

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This study is a randomized controlled trial of the use of RPM compared to usual care among MaineHealth's rural patients with poorly controlled diabetes, where the participant's diabetes is managed primarily by primary care (as opposed to endocrinology). Usual care is defined as participation in Living Well with Diabetes/Virtual Diabetes Self-Management Program, PCP evaluation and management at the providers' discretion, including medication adjustment or interventions, and other types of interventions depending on clinical judgement. This may include eConsults between the provider and a pharmacist, in-person visits between the provider and the patient, synchronous telemedicine visits between the provider and the patient, and synchronous telemedicine visits between the pharmacist and the patient.
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Living Well with Diabetes

Usual care is defined as participation in Living Well with Diabetes/Virtual Diabetes Self-Management Program, PCP evaluation and management, including medication adjustment or interventions, and other types of interventions depending on clinical judgement. This may include eConsults between the provider and a pharmacist, in-person visits between the provider and the patient, synchronous telemedicine visits between the provider and the patient, and synchronous telemedicine visits between the pharmacist and the patient.

Group Type NO_INTERVENTION

No interventions assigned to this group

Living Well with Diabetes + Remote Patient Monitoring

Remote patient monitoring as the intervention is defined as a tablet and Bluetooth-enabled glucometer technology that collects point-of-care (POC) blood glucose data from a patient outside of a traditional clinical setting, and securely transmits this data to Epic for review and potential intervention.

Group Type EXPERIMENTAL

Remote Patient Monitoring

Intervention Type DEVICE

Remote patient monitoring as the intervention is defined as a tablet and Bluetooth-enabled glucometer technology that collects point-of-care (POC) blood glucose data from a patient outside of a traditional clinical setting, and securely transmits this data to Epic for review and potential intervention.

Interventions

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Remote Patient Monitoring

Remote patient monitoring as the intervention is defined as a tablet and Bluetooth-enabled glucometer technology that collects point-of-care (POC) blood glucose data from a patient outside of a traditional clinical setting, and securely transmits this data to Epic for review and potential intervention.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Be enrolled in Living Well with Diabetes education program
* Have an HbA1c% ≥ 8 in the prior 6 months
* Be capable of providing consent
* Be adults (age 18 or over)

Exclusion Criteria

* Primarily managed by endocrinology for their diabetes (\> 1 visit with endocrinology in the previous 12 months)
* Incarcerated
* PCP not at one of the 30 primary care practices listed (see attachment List of PCP Practices)
* Diagnosed with type 1 diabetes
* Candidate for continuous glucose monitoring, as defined by Centers for Medicare and Medicaid Services as using at least three insulin injections per day, any combination of types of insulins
* Pregnant
* Have previously participated in the Living Well with Diabetes/Virtual Diabetes Self-Management Program
* Have previously used a remote patient monitoring device for diabetes management
* Have a diagnosis of dementia or other clinical diagnosis that would impair participation capacity
* Currently participating in any other clinical trial regarding diabetes care or management
* Currently enrolled in hospice
* Currently residing in a long term care or rehabilitation facility
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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MaineHealth

OTHER

Sponsor Role collaborator

Health Resources and Services Administration (HRSA)

FED

Sponsor Role collaborator

Tracy Jalbuena MD

OTHER

Sponsor Role lead

Responsible Party

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Tracy Jalbuena MD

Clinical Lead for Telehealth

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Tracy Jalbuena, MD

Role: PRINCIPAL_INVESTIGATOR

MaineHealth

Locations

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PenBay Medical Center

Rockport, Maine, United States

Site Status

Countries

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United States

References

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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. Prim Care Diabetes. 2020 Feb;14(1):12-20. doi: 10.1016/j.pcd.2019.08.009. Epub 2019 Sep 20.

Reference Type BACKGROUND
PMID: 31543458 (View on PubMed)

American Diabetes Association. Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care. 2018 May;41(5):917-928. doi: 10.2337/dci18-0007. Epub 2018 Mar 22.

Reference Type BACKGROUND
PMID: 29567642 (View on PubMed)

Andersen JA, Scoggins D, Michaud T, Wan N, Wen M, Su D. Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients. Telemed J E Health. 2021 Jan;27(1):55-61. doi: 10.1089/tmj.2019.0280. Epub 2020 Apr 17.

Reference Type BACKGROUND
PMID: 32302521 (View on PubMed)

Bahrom NH, Ramli AS, Isa MR, Baharudin N, Badlishah-Sham SF, Mohamed-Yassin MS, Abdul-Hamid H. Validity and reliability of the Patient Activation Measure(R) (PAM(R))-13 Malay version among patients with Metabolic Syndrome in primary care. Malays Fam Physician. 2020 Nov 10;15(3):22-34. eCollection 2020.

Reference Type BACKGROUND
PMID: 33329860 (View on PubMed)

Bomba F, Markwart H, Muhlan H, Menrath I, Ernst G, Thyen U, Schmidt S. Adaptation and validation of the German Patient Activation Measure for adolescents with chronic conditions in transitional care: PAM(R) 13 for Adolescents. Res Nurs Health. 2018 Feb;41(1):78-87. doi: 10.1002/nur.21831. Epub 2017 Dec 20.

Reference Type BACKGROUND
PMID: 29266283 (View on PubMed)

Boren SA, Fitzner KA, Panhalkar PS, Specker JE. Costs and benefits associated with diabetes education: a review of the literature. Diabetes Educ. 2009 Jan-Feb;35(1):72-96. doi: 10.1177/0145721708326774.

Reference Type BACKGROUND
PMID: 19244564 (View on PubMed)

Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr. 2010 Oct 22;8:29. doi: 10.1186/1478-7954-8-29.

Reference Type BACKGROUND
PMID: 20969750 (View on PubMed)

Brenk-Franz K, Hibbard JH, Herrmann WJ, Freund T, Szecsenyi J, Djalali S, Steurer-Stey C, Sonnichsen A, Tiesler F, Storch M, Schneider N, Gensichen J. Validation of the German version of the patient activation measure 13 (PAM13-D) in an international multicentre study of primary care patients. PLoS One. 2013 Sep 30;8(9):e74786. doi: 10.1371/journal.pone.0074786. eCollection 2013.

Reference Type BACKGROUND
PMID: 24098669 (View on PubMed)

Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control. Patient Educ Couns. 2016 Jun;99(6):926-43. doi: 10.1016/j.pec.2015.11.003. Epub 2015 Nov 22.

Reference Type BACKGROUND
PMID: 26658704 (View on PubMed)

Cunha CM, da Cunha DCPT, Manzato RO, Nepomuceno E, da Silva D, Dantas RAS. Validation of the Brazilian Version of the Patient Activation Measure 13. J Nurs Meas. 2019 Apr 1;27(1):97-113. doi: 10.1891/1061-3749.27.1.97.

Reference Type BACKGROUND
PMID: 31068494 (View on PubMed)

Dieleman JL, Baral R, Birger M, Bui AL, Bulchis A, Chapin A, Hamavid H, Horst C, Johnson EK, Joseph J, Lavado R, Lomsadze L, Reynolds A, Squires E, Campbell M, DeCenso B, Dicker D, Flaxman AD, Gabert R, Highfill T, Naghavi M, Nightingale N, Templin T, Tobias MI, Vos T, Murray CJ. US Spending on Personal Health Care and Public Health, 1996-2013. JAMA. 2016 Dec 27;316(24):2627-2646. doi: 10.1001/jama.2016.16885.

Reference Type BACKGROUND
PMID: 28027366 (View on PubMed)

Egede LE, Williams JS, Voronca DC, Knapp RG, Fernandes JK. Randomized Controlled Trial of Technology-Assisted Case Management in Low Income Adults with Type 2 Diabetes. Diabetes Technol Ther. 2017 Aug;19(8):476-482. doi: 10.1089/dia.2017.0006. Epub 2017 Jun 5.

Reference Type BACKGROUND
PMID: 28581821 (View on PubMed)

Fowles JB, Terry P, Xi M, Hibbard J, Bloom CT, Harvey L. Measuring self-management of patients' and employees' health: further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics. Patient Educ Couns. 2009 Oct;77(1):116-22. doi: 10.1016/j.pec.2009.02.018. Epub 2009 Apr 7.

Reference Type BACKGROUND
PMID: 19356881 (View on PubMed)

Glasgow RE, Wagner EH, Schaefer J, Mahoney LD, Reid RJ, Greene SM. Development and validation of the Patient Assessment of Chronic Illness Care (PACIC). Med Care. 2005 May;43(5):436-44. doi: 10.1097/01.mlr.0000160375.47920.8c.

Reference Type BACKGROUND
PMID: 15838407 (View on PubMed)

Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. J Gen Intern Med. 2012 May;27(5):520-6. doi: 10.1007/s11606-011-1931-2.

Reference Type BACKGROUND
PMID: 22127797 (View on PubMed)

Haas L, Maryniuk M, Beck J, Cox CE, Duker P, Edwards L, Fisher EB, Hanson L, Kent D, Kolb L, McLaughlin S, Orzeck E, Piette JD, Rhinehart AS, Rothman R, Sklaroff S, Tomky D, Youssef G; 2012 Standards Revision Task Force. National standards for diabetes self-management education and support. Diabetes Care. 2014 Jan;37 Suppl 1(Suppl 1):S144-53. doi: 10.2337/dc14-S144. No abstract available.

Reference Type BACKGROUND
PMID: 24357210 (View on PubMed)

Hellstrom A, Kassaye Tessma M, Flink M, Dahlgren A, Schildmeijer K, Ekstedt M. Validation of the patient activation measure in patients at discharge from hospitals and at distance from hospital care in Sweden. BMC Public Health. 2019 Dec 19;19(1):1701. doi: 10.1186/s12889-019-8025-1.

Reference Type BACKGROUND
PMID: 31856796 (View on PubMed)

Hibbard JH. Using systematic measurement to target consumer activation strategies. Med Care Res Rev. 2009 Feb;66(1 Suppl):9S-27S. doi: 10.1177/1077558708326969. Epub 2008 Dec 3.

Reference Type BACKGROUND
PMID: 19052169 (View on PubMed)

Hibbard JH, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013 Feb;32(2):207-14. doi: 10.1377/hlthaff.2012.1061.

Reference Type BACKGROUND
PMID: 23381511 (View on PubMed)

Hibbard JH, Greene J, Shi Y, Mittler J, Scanlon D. Taking the long view: how well do patient activation scores predict outcomes four years later? Med Care Res Rev. 2015 Jun;72(3):324-37. doi: 10.1177/1077558715573871. Epub 2015 Feb 24.

Reference Type BACKGROUND
PMID: 25716663 (View on PubMed)

Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the patient activation measure. Health Serv Res. 2005 Dec;40(6 Pt 1):1918-30. doi: 10.1111/j.1475-6773.2005.00438.x.

Reference Type BACKGROUND
PMID: 16336556 (View on PubMed)

Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004 Aug;39(4 Pt 1):1005-26. doi: 10.1111/j.1475-6773.2004.00269.x.

Reference Type BACKGROUND
PMID: 15230939 (View on PubMed)

Hibbard JH, Tusler M. Assessing activation stage and employing a "next steps" approach to supporting patient self-management. J Ambul Care Manage. 2007 Jan-Mar;30(1):2-8. doi: 10.1097/00004479-200701000-00002.

Reference Type BACKGROUND
PMID: 17170632 (View on PubMed)

Hosseinzadeh H, Verma I, Gopaldasani V. Patient activation and Type 2 diabetes mellitus self-management: a systematic review and meta-analysis. Aust J Prim Health. 2020 Dec;26(6):431-442. doi: 10.1071/PY19204.

Reference Type BACKGROUND
PMID: 33222755 (View on PubMed)

Kinney RL, Lemon SC, Person SD, Pagoto SL, Saczynski JS. The association between patient activation and medication adherence, hospitalization, and emergency room utilization in patients with chronic illnesses: a systematic review. Patient Educ Couns. 2015 May;98(5):545-52. doi: 10.1016/j.pec.2015.02.005. Epub 2015 Feb 19.

Reference Type BACKGROUND
PMID: 25744281 (View on PubMed)

Kosar C, Besen DB. Adaptation of a patient activation measure (PAM) into Turkish: reliability and validity test. Afr Health Sci. 2019 Mar;19(1):1811-1820. doi: 10.4314/ahs.v19i1.58.

Reference Type BACKGROUND
PMID: 31149012 (View on PubMed)

Lee MK, Lee KH, Yoo SH, Park CY. Impact of initial active engagement in self-monitoring with a telemonitoring device on glycemic control among patients with type 2 diabetes. Sci Rep. 2017 Jun 20;7(1):3866. doi: 10.1038/s41598-017-03842-2.

Reference Type BACKGROUND
PMID: 28634381 (View on PubMed)

Lee SWH, Chan CKY, Chua SS, Chaiyakunapruk N. Comparative effectiveness of telemedicine strategies on type 2 diabetes management: A systematic review and network meta-analysis. Sci Rep. 2017 Oct 4;7(1):12680. doi: 10.1038/s41598-017-12987-z.

Reference Type BACKGROUND
PMID: 28978949 (View on PubMed)

Lorig K, Ritter PL, Laurent DD, Plant K, Green M, Jernigan VB, Case S. Online diabetes self-management program: a randomized study. Diabetes Care. 2010 Jun;33(6):1275-81. doi: 10.2337/dc09-2153. Epub 2010 Mar 18.

Reference Type BACKGROUND
PMID: 20299481 (View on PubMed)

Lorig K, Ritter PL, Villa FJ, Armas J. Community-based peer-led diabetes self-management: a randomized trial. Diabetes Educ. 2009 Jul-Aug;35(4):641-51. doi: 10.1177/0145721709335006. Epub 2009 Apr 30.

Reference Type BACKGROUND
PMID: 19407333 (View on PubMed)

McDonnell ME. Telemedicine in Complex Diabetes Management. Curr Diab Rep. 2018 May 24;18(7):42. doi: 10.1007/s11892-018-1015-3.

Reference Type BACKGROUND
PMID: 29797292 (View on PubMed)

Melby K, Nygard M, Brobakken MF, Grawe RW, Guzey IC, Reitan SK, Vedul-Kjelsas E, Heggelund J, Lara-Cabrera ML. Test-Retest Reliability of the Patient Activation Measure-13 in Adults with Substance Use Disorders and Schizophrenia Spectrum Disorders. Int J Environ Res Public Health. 2021 Jan 29;18(3):1185. doi: 10.3390/ijerph18031185.

Reference Type BACKGROUND
PMID: 33572717 (View on PubMed)

Michaud TL, Siahpush M, King KM, Ramos AK, Robbins RE, Schwab RJ, Clarke MA, Su D. Program completion and glycemic control in a remote patient monitoring program for diabetes management: Does gender matter? Diabetes Res Clin Pract. 2020 Jan;159:107944. doi: 10.1016/j.diabres.2019.107944. Epub 2019 Nov 23.

Reference Type BACKGROUND
PMID: 31765684 (View on PubMed)

Michaud TL, Siahpush M, Schwab RJ, Eiland LA, DeVany M, Hansen G, Slachetka TS, Boilesen E, Tak HJ, Wilson FA, Wang H, Pagan JA, Su D. Remote Patient Monitoring and Clinical Outcomes for Postdischarge Patients with Type 2 Diabetes. Popul Health Manag. 2018 Oct;21(5):387-394. doi: 10.1089/pop.2017.0175. Epub 2018 Mar 27.

Reference Type BACKGROUND
PMID: 29583057 (View on PubMed)

Moljord IE, Lara-Cabrera ML, Perestelo-Perez L, Rivero-Santana A, Eriksen L, Linaker OM. Psychometric properties of the Patient Activation Measure-13 among out-patients waiting for mental health treatment: A validation study in Norway. Patient Educ Couns. 2015 Nov;98(11):1410-7. doi: 10.1016/j.pec.2015.06.009. Epub 2015 Jun 23.

Reference Type BACKGROUND
PMID: 26146239 (View on PubMed)

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 Jul;25(7):1159-71. doi: 10.2337/diacare.25.7.1159.

Reference Type BACKGROUND
PMID: 12087014 (View on PubMed)

Pillay J, Armstrong MJ, Butalia S, Donovan LE, Sigal RJ, Vandermeer B, Chordiya P, Dhakal S, Hartling L, Nuspl M, Featherstone R, Dryden DM. Behavioral Programs for Type 2 Diabetes Mellitus: A Systematic Review and Network Meta-analysis. Ann Intern Med. 2015 Dec 1;163(11):848-60. doi: 10.7326/M15-1400. Epub 2015 Sep 29.

Reference Type BACKGROUND
PMID: 26414227 (View on PubMed)

Pressman AR, Kinoshita L, Kirk S, Barbosa GM, Chou C, Minkoff J. A novel telemonitoring device for improving diabetes control: protocol and results from a randomized clinical trial. Telemed J E Health. 2014 Feb;20(2):109-14. doi: 10.1089/tmj.2013.0157. Epub 2014 Jan 3.

Reference Type BACKGROUND
PMID: 24404816 (View on PubMed)

Rademakers J, Nijman J, van der Hoek L, Heijmans M, Rijken M. Measuring patient activation in The Netherlands: translation and validation of the American short form Patient Activation Measure (PAM13). BMC Public Health. 2012 Jul 31;12:577. doi: 10.1186/1471-2458-12-577.

Reference Type BACKGROUND
PMID: 22849664 (View on PubMed)

Rask KJ, Ziemer DC, Kohler SA, Hawley JN, Arinde FJ, Barnes CS. Patient activation is associated with healthy behaviors and ease in managing diabetes in an indigent population. Diabetes Educ. 2009 Jul-Aug;35(4):622-30. doi: 10.1177/0145721709335004. Epub 2009 Apr 28.

Reference Type BACKGROUND
PMID: 19419972 (View on PubMed)

Robson N, Hosseinzadeh H. Impact of Telehealth Care among Adults Living with Type 2 Diabetes in Primary Care: A Systematic Review and Meta-Analysis of Randomised Controlled Trials. Int J Environ Res Public Health. 2021 Nov 19;18(22):12171. doi: 10.3390/ijerph182212171.

Reference Type BACKGROUND
PMID: 34831925 (View on PubMed)

Sacks RM, Greene J, Hibbard J, Overton V, Parrotta CD. Does patient activation predict the course of type 2 diabetes? A longitudinal study. Patient Educ Couns. 2017 Jul;100(7):1268-1275. doi: 10.1016/j.pec.2017.01.014. Epub 2017 Jan 25.

Reference Type BACKGROUND
PMID: 28159442 (View on PubMed)

Salehi S, Olyaeemanesh A, Mobinizadeh M, Nasli-Esfahani E, Riazi H. Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis. J Diabetes Metab Disord. 2020 Jan 10;19(1):115-127. doi: 10.1007/s40200-019-00482-3. eCollection 2020 Jun.

Reference Type BACKGROUND
PMID: 32550161 (View on PubMed)

Skolasky RL, Mackenzie EJ, Riley LH 3rd, Wegener ST. Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery. Qual Life Res. 2009 Dec;18(10):1357-66. doi: 10.1007/s11136-009-9549-0. Epub 2009 Nov 15.

Reference Type BACKGROUND
PMID: 19916057 (View on PubMed)

Steinsbekk A, Rygg LO, Lisulo M, Rise MB, Fretheim A. Group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus. A systematic review with meta-analysis. BMC Health Serv Res. 2012 Jul 23;12:213. doi: 10.1186/1472-6963-12-213.

Reference Type BACKGROUND
PMID: 22824531 (View on PubMed)

Stellefson M, Dipnarine K, Stopka C. The chronic care model and diabetes management in US primary care settings: a systematic review. Prev Chronic Dis. 2013;10:E26. doi: 10.5888/pcd10.120180.

Reference Type BACKGROUND
PMID: 23428085 (View on PubMed)

Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, Hadden D, Turner RC, Holman RR. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000 Aug 12;321(7258):405-12. doi: 10.1136/bmj.321.7258.405.

Reference Type BACKGROUND
PMID: 10938048 (View on PubMed)

Su D, Michaud TL, Estabrooks P, Schwab RJ, Eiland LA, Hansen G, DeVany M, Zhang D, Li Y, Pagan JA, Siahpush M. Diabetes Management Through Remote Patient Monitoring: The Importance of Patient Activation and Engagement with the Technology. Telemed J E Health. 2019 Oct;25(10):952-959. doi: 10.1089/tmj.2018.0205. Epub 2018 Oct 27.

Reference Type BACKGROUND
PMID: 30372366 (View on PubMed)

Sun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, Deng Y, Wang H, Xiao X, Wang G, Gao Y, Wang G. Mobile Phone-Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2019 Jan 4;7(1):e10664. doi: 10.2196/10664.

Reference Type BACKGROUND
PMID: 30609983 (View on PubMed)

Tang PC, Overhage JM, Chan AS, Brown NL, Aghighi B, Entwistle MP, Hui SL, Hyde SM, Klieman LH, Mitchell CJ, Perkins AJ, Qureshi LS, Waltimyer TA, Winters LJ, Young CY. Online disease management of diabetes: engaging and motivating patients online with enhanced resources-diabetes (EMPOWER-D), a randomized controlled trial. J Am Med Inform Assoc. 2013 May 1;20(3):526-34. doi: 10.1136/amiajnl-2012-001263. Epub 2012 Nov 20.

Reference Type BACKGROUND
PMID: 23171659 (View on PubMed)

Tchero H, Kangambega P, Briatte C, Brunet-Houdard S, Retali GR, Rusch E. Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials. Telemed J E Health. 2019 Jul;25(7):569-583. doi: 10.1089/tmj.2018.0128. Epub 2018 Aug 20.

Reference Type BACKGROUND
PMID: 30124394 (View on PubMed)

Timpel P, Oswald S, Schwarz PEH, Harst L. Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses. J Med Internet Res. 2020 Mar 18;22(3):e16791. doi: 10.2196/16791.

Reference Type BACKGROUND
PMID: 32186516 (View on PubMed)

Wubben DP, Vivian EM. Effects of pharmacist outpatient interventions on adults with diabetes mellitus: a systematic review. Pharmacotherapy. 2008 Apr;28(4):421-36. doi: 10.1592/phco.28.4.421.

Reference Type BACKGROUND
PMID: 18363526 (View on PubMed)

Related Links

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https://qpp.cms.gov/docs/QPP_quality_measure_specifications/Web-Interface-Measures/2020_Measure_DM-2_CMSWebInterface.pdf

Centers for Medicare and Medicaid Services. DM-2 (NQF 0059): Diabetes: Hemoglobin A1c (HbA1c) Poor Control (\>9%).; 2019. Accessed January 20, 2022.

https://diabetesatlas.org/

International Diabetes Federation. IDF Diabetes Atlas. IDF Diabetes Atlas. Published 2021

https://stacker.com/stories/2779/states-biggest-rural-populations?page=5

Lisa A. States with the biggest rural populations. Stacker. Published April 8, 2019.

https://health.gov/sites/default/files/2022-01/NCCC%20Report%20to%20Congress.pdf

National Clinical Care Commission. Report to Congress on Leveraging Federal Programs to Prevent and Control Diabetes and Its Complications. Department of Health and Human Services; 2021. Accessed January 31, 2022.

Other Identifiers

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00000

Identifier Type: -

Identifier Source: org_study_id

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