Changes in Diabetes Self-Care Behaviors Make a Difference in Glycemic Control

Jones, Helen; Edwards, Lynn; Vallis, Michael; Ruggiero, Laurie; Rossi, Stefano Marco Maria De; Rossi, Joseph S.; Greene, Geoffrey; Prochaska, James O.; Zinman, Bernard

doi:10.2337/diacare.26.3.732

Cited by 272 publications

(209 citation statements)

References 15 publications

(5 reference statements)

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“…It is also worthy to note that there were only three coaching sessions that were time limited. These results suggest that MI counselors can be more ambitious and simultaneously target multiple and not just single behavior risks in a population.Secondly, the results replicated the multiple behavior changes within a target population that have been generated by TTM tailored interventions (Johnson et al, in press;Jones et al, 2003;Prochaska et al, 2004Prochaska et al, , 2005. More innovatively, this is the first study with adults to demonstrate such results when the TTM tailoring was delivered online.…”

supporting

confidence: 60%

“…TTM tailored print feedback has also been found effective when treating: 1) three health behaviors in a population of parents whose teens were participating in health promotion at school (Prochaska et al, 2004); 2) four behaviors in a population of primary care patients (Prochaska et al, 2005); 3) three behaviors in a population of patients with diabetes (Jones et al, 2003) and 4) three behaviors in a population of overweight individuals (Johnson et al, in press). Comparable TTM tailored feedback has also been presented in a multimedia format (Redding et al, 1999), but not yet online.…”

mentioning

confidence: 99%

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Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion

Prochaska¹,

Butterworth²,

Redding³

et al. 2008

Preventive Medicine

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Objective-This study was designed to compare the initial efficacy of Motivational Interviewing (MI), Online Transtheoretical Model (TTM) Tailored communications and a brief Health Risk Intervention (HRI) on four health risk factors (inactivity, BMI, stress and smoking) in a worksite sample.Method-A randomized clinical trial assigned employees to one of three recruitment strategies and one of the three treatments. The treatment protocol included an HRI session for everyone and in addition either a recommended three TTM online sessions or three MI in person or telephone sessions over 6 months. At the initial post-treatment assessment at six months, groups were compared on the percentage who had progressed from at-risk to taking effective action on each of the four risks.Results-Compared to the HRI only group, the MI and TTM groups had significantly more participants in the Action stage for exercise and effective stress management and significantly fewer risk behaviors at 6 months. MI and TTM group outcomes were not different. Conclusion: This was the first study to demonstrate that MI and online TTM could produce significant multiple behavior changes. Future research will examine the long-term impacts of each treatment, their cost effectiveness, effects on productivity and quality of life, and process variables mediating outcomes. KeywordsMultiple behavior change; Motivational Interviewing; TTM Tailoring; exercise; stress; smoking; BMI Increasingly it is recognized that a major barrier to dissemination of evidence-based health promotion programs is that most programs were not designed or developed to reach at-risk populations (Glasgow et al., 2003). They were designed for and evaluated on self-selected samples of at-risk individuals. For example, in the United States Public Health Services Corresponding Author: James O. Prochaska, Ph.D., Cancer Prevention Research Center, 2 Chafee Road, University of Rhode Island, Kingston, RI 02881, Tel: 401-874-2830, Fax: 401-874-5562, jop@uri.edu. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. 1996 Clinical Guidelines for the Treatment of Tobacco, over 3,000 studies on tobacco were identified. The Guidelines were able to recommend a broad range of evidence-based interventions for motivated smokers; i.e., those prepared to quit in the next month (Fiore et al., 1996). There were no evidence-based interventions recommended for unmotivated smokers, even though they make up more than 80% of all U.S. smokers (Velicer et al., 1995) and more than 90% of daily smokers (Wewers et al., 2003). In the second edition of the Guidelines there w...

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supporting

confidence: 60%

mentioning

confidence: 99%

Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion

Prochaska¹,

Butterworth²,

Redding³

et al. 2008

Preventive Medicine

Self Cite

210

193

View full text Add to dashboard Cite

show abstract

“…Research has shown that intentions are major determinants of self-care behavior (39,40). Goal setting, a procedure for translating patients' self-management and behavior change intentions into goals, is a common behavioral intervention and contributes to behavior change (41,42).…”

Section: Collaborative Goal Settingmentioning

confidence: 99%

Behavioral and Psychosocial Interventions in Diabetes

2007

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“…Patients progressing one SoC during the first 1 month of treatment can double their chances of action (13). The SoC model has been used in multiple disciplines to aid patients in making difficult decisions about many conditions, including renal transplantation (14)(15)(16)(17)(18)(19)(20). The aims of this study were to (1) develop an SoC tool to measure patient readiness for dialysis modality decision-making, (2) determine associations between SoC and dialysis modality decision-making, and (3) determine additional factors associated with both SoC and dialysis decision-making.…”

Section: Introductionmentioning

confidence: 99%

Behavioral Stage of Change and Dialysis Decision-Making

Prakash

McGrail

Lewis

et al. 2015

Clinical Journal of the American Society of Nephrology

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Background and objectives Behavioral stage of change (SoC) algorithms classify patients' readiness for medical treatment decision-making. In the precontemplation stage, patients have no intention to take action within 6 months. In the contemplation stage, action is intended within 6 months. In the preparation stage, patients intend to take action within 30 days. In the action stage, the change has been made. This study examines the influence of SoC on dialysis modality decision-making.Design, setting, participants, & measurements SoC and relevant covariates were measured, and associations with dialysis decision-making were determined. In-depth interviews were conducted with 16 patients on dialysis to elicit experiences. Qualitative interview data informed the survey design. Surveys were administered to adults with CKD (eGFR#25 ml/min/1.73 m 2 ) from August, 2012 to June, 2013. Multivariable logistic regression modeled dialysis decision-making with predictors: SoC, provider connection, and dialysis knowledge score.Results Fifty-five patients completed the survey (71% women, 39% white, and 59% black), and median annual income was $17,500. In total, 65% of patients were in the precontemplation/contemplation (thinking) and 35% of patients were in the preparation/maintenance (acting) SoC; 62% of patients had made dialysis modality decisions. Doctors explaining modality options, higher dialysis knowledge scores, and fewer lifestyle barriers were associated with acting versus thinking SoC (all P,0.02). Patients making modality decisions had doctors who explained dialysis options (76% versus 43%), were in the acting versus the thinking SoC (50% versus 10%), had higher dialysis knowledge scores (1.4 versus 0.5), and had lower eGFR (13.9 versus 16.8 ml/min/1.73 m 2 ; all P,0.05). In adjusted analyses, dialysis knowledge was significantly associated with decision-making (odds ratio, 4.2; 95% confidence interval, 1.4 to 12.9; P=0.01), and SoC was of borderline significance (odds ratio, 5.8; 95% confidence interval, 1.0 to 32.6; P=0.05). The model C statistic was 0.87.Conclusions Dialysis decision-making was associated with SoC, dialysis knowledge, and physicians discussing treatment options. Future studies determining ways to assist patients with CKD in making satisfying modality decisions are warranted.

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Changes in Diabetes Self-Care Behaviors Make a Difference in Glycemic Control

Abstract: This study demonstrates that this intervention has the potential of positively impacting the health of broad populations of individuals with diabetes, not just the minority who are ready for change.

Cited by 272 publications

References 15 publications

Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion

Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion

Behavioral and Psychosocial Interventions in Diabetes

Behavioral Stage of Change and Dialysis Decision-Making

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