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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2015

Open Access 01-12-2015 | Study protocol

EMPOWER-support of patient empowerment by an intelligent self-management pathway for patients: study protocol

Authors: Sarah Mantwill, Maddalena Fiordelli, Ramona Ludolph, Peter J Schulz

Published in: BMC Medical Informatics and Decision Making | Issue 1/2015

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Abstract

Background

Diabetes education together with patient empowerment has shown to be key to effective self-management behavior. When delivered through information and communication technologies (ICT), this solution has shown to lead to better health outcomes. However, the potential of ICT and their integration into the healthcare environment have not yet been fully exploited. ICT should be in particular used to facilitate communication and information exchange between patient and healthcare providers. In addition, systems should include components facilitating behavior change using empowerment approaches such as goal-setting.

Methods/Design

Funded by the European Commission (FP7-ICT-2011-288209) a web/mobile based platform (EMPOWER) has been developed, which aims at supporting self-management activities of diabetes patients and their treating physicians in Germany and Turkey. The platform semantically integrates multiple information sources, such as electronic and personal health records (EHR/PHR). Patients can register patterns of daily living, record blood glucose levels, design disease management plans and set long- and short-term goals. The project actively involves the treating physician, who has the possibility to set recommendations for the patient and to monitor his/her progress on the platform.
In the test-phase of EMPOWER, patients will be assigned to an intervention group and a control group. Data will be collected at baseline and three months after the intervention started. In addition, qualitative interviews will be conducted to collect extra information on usability and usefulness.
Outcome measures include amongst others the Problem Areas in Diabetes questionnaire (PAID), the Summary of Diabetes Self-Care Activities and scales evaluating doctor-patient interaction. Physiological parameters, such as physical activity or blood glucose levels will be collected via the platform. Further, log files and number of logins will serve as independent variables.

Discussion

The interplay between multiple sources, including EHR, patients’ own registered information and physicians’ recommendations on one platform can have important practice implications. It might not only improve self-management activities in diabetes patients but it will also facilitate physician’s work, and ultimately the physician patient relationship.

Trial registration

The trial has been registered with Deutsches Register Klinischer Studien (German register of clinical trials) under DRKS00007699 on January 30, 2015.
Literature
1.
Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives. Nat Rev Endocrinol. 2011;8(4):228–36.CrossRefPubMed
2.
Dagogo-Jack S. Preventing diabetes-related morbidity and mortality in the primary care setting. J Natl Med Assoc. 2002;94(7):549.PubMedPubMedCentral
3.
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(7):1159–71.CrossRefPubMed
4.
Steed L, Cooke D, Newman S. A systematic review of psychosocial outcomes following education, self-management and psychological interventions in diabetes mellitus. Patient Educ Couns. 2003;51(1):5–15.CrossRefPubMed
5.
Funnell MM, Anderson RM. Patient empowerment: a look back, a look ahead. Diabetes Educ. 2003;29(3):454–64.CrossRefPubMed
6.
Funnell MM, Brown TL, Childs BP, Haas LB, Hosey GM, Jensen B, et al. National standards for diabetes self-management education. Diabetes Care. 2011;34(Sup. 1):S89–96.CrossRefPubMedPubMedCentral
7.
Anderson RM, Funnell MM. Patient empowerment: myths and misconceptions. Patient Educ Couns. 2010;79(3):277–82.CrossRefPubMed
8.
Samoocha D, Bruinvels DJ, Elbers NA, Anema JR, van der Beek AJ. Effectiveness of web-based interventions on patient empowerment: a systematic review and meta-analysis. J Med Internet Res. 2010;12(2):e23.CrossRefPubMedPubMedCentral
9.
Costa BM, Fitzgerald KJ, Jones KM, Dunning T. Effectiveness of IT-based diabetes management interventions: a review of the literature. BMC Fam Pract. 2009;10:72.CrossRefPubMedPubMedCentral
10.
Dorr DA, Wilcox AB, Brunker CP, Burdon RE, Donnelly SM. The effect of technology-supported, multidisease care management on the mortality and hospitalization of seniors. J Am Geriatr Soc. 2008;56(12):2195–202.CrossRefPubMed
11.
Pal K, Eastwood SV, Michie S, Farmer A, Barnard ML, Peacock R, et al. Computer-based interventions to improve self-management in adults with type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2014;37(6):1759–66.CrossRefPubMed
12.
Ramadas A, Quek KF, Chan CKY, Oldenburg B. Web-based interventions for the management of type 2 diabetes mellitus: a systematic review of recent evidence. Int J Med Inform. 2011;80(6):389–405.CrossRefPubMed
13.
14.
Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLOS Med. 2013;10(1):e1001362.CrossRefPubMedPubMedCentral
15.
Saffari M, Ghanizadeh G, Koenig HG. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: a systematic review and meta-analysis. Prim Care Diabetes. 2014;8(4):275–85.CrossRefPubMed
16.
Tang PC, Ash JS, Bates DW, Overhage JM, Sands DZ. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Patient Educ Couns. 2006;13(2):121–6.
17.
Tenforde M, Jain A, Hickner J. The value of personal health records for chronic disease management: what do we know? Fam Med. 2011;43(5):351–4.PubMed
18.
Grant RW, Wald JS, Schnipper JL, Gandhi TK, Poon EG, Orav EJ, et al. Practice-linked online personal health records for type 2 diabetes mellitus: a randomized controlled trial. Arch Intern Med. 2008;168(16):1776–82.CrossRefPubMed
19.
Tang PC, Overhage JM, Chan AS, Brown NL, Aghighi B, Entwistle MP, et al. 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;20(3):526–34.CrossRefPubMed
20.
Bodenheimer T, Handley MA. Goal-setting for behavior change in primary care: an exploration and status report. Patient Educ Couns. 2009;76(2):174–80.CrossRefPubMed
21.
22.
Glasgow RE, Kurz D, King D, Dickman JM, Faber AJ, Halterman E, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87(1):81–92.CrossRefPubMed
23.
Boren SA, Gunlock TL, Peeples MM, Krishna S. Computerized learning technologies for diabetes: a systematic review. J Diabetes Sci Technol. 2008;2(1):139–46.CrossRefPubMedPubMedCentral
24.
Piette JD. Interactive behavior change technology to support diabetes self-management where do we stand? Diabetes Care. 2007;30(10):2425–32.CrossRefPubMed
25.
Schulz PJ, Rubinelli S, Caiata Zufferey M, Hartung U. Coping with chronic lower back pain: designing and testing the online tool ONESELF. J Comput Mediat Commun. 2010;15(4):625–45.CrossRef
26.
Brooke J. SUS: A “quick and dirty” usability scale. In: Jordan PW, Thomas B, McClelland IL, Weerdmeester B, editors. Usability Evaluation in Industry. London: Taylor and Francis; 1996. p. 189–94.
27.
Lewis JR, Sauro J. The factor structure of the system usability scale. First International Conference, Human Centered Design 2009, San Diego, CA, USA, July 19-24, Proceedings. 94-103.
28.
Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. 1989;13(3):319–40.CrossRef
29.
Davis F. User acceptance of information technology: System characteristics, user perceptions and behavioural impacts. Int J Man Mach Stud. 1993;38:475–87.CrossRef
30.
Spreitzer GM. Psychological empowerment in the workplace: Dimensions, measurement, and validation. Acad Manage J. 1995;38(5):1442–65.CrossRef
31.
Welch GW, Jacobson AM, Polonsky WH. The problem areas in diabetes scale: an evaluation of its clinical utility. Diabetes Care. 1997;20(5):760–6.CrossRefPubMed
32.
Toobert DJ, Glasgow RE. Assessing diabetes self-management: the summary ofdiabetes self-care activities questionnaire. In: Bradley C, editor. Handbook of Psychology and Diabetes. Chur: HarwoodAcademic; 1994. p. 351–75.
33.
Toobert DJ, Hampson SE, Glasgow AR. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000;23(7):943–50.CrossRefPubMed
34.
Schulz PJ, Nakamoto K. Health literacy and patient empowerment in health communication: The importance of separating conjoined twins. Patient Educ Couns. 2013;90(1):4–11.CrossRefPubMed
35.
Weiss BD, Mays MZ, Martz W, Castro KM, DeWalt DA, Pignone MP, et al. Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med. 2005;3(6):514–22.CrossRefPubMedPubMedCentral
36.
Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–94.PubMed
37.
Chew LD, Grill JP, Snyder A, Bradley KA, Nugent SM, Baines AD. Validation of screening questions for limited health literacy in a large VA outpatient population. J Gen Intern Med. 2008;23(5):561–6.CrossRefPubMedPubMedCentral
38.
Kaplan SH, Greenfield S, Ware Jr JE. Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Med Care. 1989;27(3):S110–27.CrossRefPubMed
39.
Heisler M, Bouknight RR, Hayward RA, Smith DM, Kerr EA. The relative importance of physician communication, participatory decision making, and patient understanding in diabetes self-management. J Gen Intern Med. 2002;17(4):243–52.CrossRefPubMedPubMedCentral
Metadata
Title
EMPOWER-support of patient empowerment by an intelligent self-management pathway for patients: study protocol
Authors
Sarah Mantwill
Maddalena Fiordelli
Ramona Ludolph
Peter J Schulz
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2015
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-015-0142-x

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