Lawrence C. An
University of Michigan
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Preventive Medicine | 2003
Joachim Roski; Robert Jeddeloh; Lawrence C. An; Harry A. Lando; Peter J. Hannan; Carmen Hall; Shu-Hong Zhu
BACKGROUNDnThis study tested the effects of two organizational support processes, the provision of financial incentives for superior clinical performance and the availability of a patient (smoker) registry and proactive telephone support system for smoking cessation, on provider adherence to accepted practice guidelines and associated patient outcomes.nnnMETHODSnForty clinics of a large multispecialty medical group practice providing primary care services were randomly allocated to study conditions. Fifteen clinics each were assigned to the experimental conditions control (distribution of printed versions of smoking cessation guidelines) and incentive (financial incentive pay-out for reaching preset clinical performance targets). Ten clinics were randomized to receive financial incentives combined with access to a centralized patient registry and intervention system (registry). Main outcome measures were adherence to smoking cessation clinical practice guidelines and patients smoking cessation behaviors.nnnRESULTSnPatients tobacco use status was statistically significant (P < 0.01) more frequently identified in clinics with the opportunity for incentives and access to a registry than in clinics in the control condition. Patients visiting registry clinics accessed counseling programs statistically significantly more often (P < 0.001) than patients receiving care in the control condition. Other endpoints did not statistically significantly differ between the experimental conditions.nnnCONCLUSIONSnThe impact of financial incentives and a patient registry/intervention system in improving smoking cessation clinical practices and patient behaviors was mixed. Additional research is needed to identify conditions under which such organizational support processes result in significant health care quality improvement and warrant the investment.
Tobacco Control | 2006
Lawrence C. An; Barbara A. Schillo; Annette Kavanaugh; Randi B. Lachter; Michael G. Luxenberg; Ann Wendling; Anne M Joseph
Background: Tobacco users receiving behavioural and pharmacological assistance are more likely to quit. Although telephone quitlines provide population access to counselling, few offer pharmacotherapy. Objective: To assess change in cessation rates and programme impact after the addition of free nicotine replacement therapy (NRT) to statewide quitline services. Design, setting, participants: An observational study of cohorts of callers to the Minnesota QUITPLANSM Helpline before (n u200a=u200a 380) and after (n u200a=u200a 373) the addition of access to free NRT. Intervention: Mailing of NRT (patch or gum) to callers enrolling in multi-session counselling. Main outcome measure: Thirty-day abstinence six months after programme registration. Results: The number of callers increased from 155 (SD 75) to 679 (180) per month pre-NRT to post-NRT (difference 524, 95% confidence interval (CI) 323 to 725). Post-NRT, the proportion of callers enrolling in multi-session counselling (23.4% v 90.1%, difference 66.6%, 95% CI 60.8% to 71.6%) and using pharmacotherapy (46.8% v 86.8%, difference 40.0%, 95% CI 31.3% to 47.9%) increased. Thirty-day abstinence at six months increased from 10.0% pre-NRT to 18.2% post-NRT (difference 8.2%, 95% CI 3.1% to 13.4%). Post-NRT the average number of new ex-smokers per month among registrants increased from 15.5 to 123.6 (difference 108.1, 95% CI 61.1 to 155.0). The cost per quit pre-NRT was
Journal of Medical Internet Research | 2011
Donna M. Zulman; Matthias A. Kirch; Kai-Lian Zheng; Lawrence C. An
1362 (SD
Annals of Internal Medicine | 2011
Donna M. Zulman; Kim M. Nazi; Carolyn Turvey; Todd H. Wagner; Susan Woods; Lawrence C. An
207). The cost per quit post-NRT was
American Journal of Preventive Medicine | 2009
Carla J. Berg; Katherine A. Lust; Julia R. Sanem; Matthias A. Kirch; Maria Rudie; Edward Ehlinger; Jasjit S. Ahluwalia; Lawrence C. An
1934 (
Obesity | 2009
Jayna M. Dave; Lawrence C. An; Robert W. Jeffery; Jasjit S. Ahluwalia
215) suggesting a possible increase in cost per quit (difference
Preventive Medicine | 2008
Lawrence C. An; Colleen M. Klatt; Cheryl L. Perry; Emily B. Lein; Deborah J. Hennrikus; Unto E. Pallonen; Robin L. Bliss; Harry A. Lando; Dana M. Farley; Jasjit S. Ahluwalia; Edward Ehlinger
572, 95% CI −
Journal of Medical Internet Research | 2008
Lawrence C. An; Barbara A. Schillo; Jessie E. Saul; Ann Wendling; Colleen M. Klatt; Carla J. Berg; Jasjit S. Ahulwalia; Annette Kavanaugh; Matthew Christenson; Michael G. Luxenberg
12 to
JAMA Internal Medicine | 2008
Lawrence C. An; James H. Bluhm; Steven S. Foldes; Nina L. Alesci; Colleen M. Klatt; William S. Nersesian; Mark E. Larson; Jasjit S. Ahluwalia; Marc W. Manley
1157). Conclusion: The addition of free NRT to a state quitline is followed by increases in participation and abstinence rates resulting in an eightfold increase in programme impact. These findings support the addition of access to pharmacological therapy as part of state quitline services.
Nicotine & Tobacco Research | 2009
David B. Nelson; Melissa R. Partin; Steven S. Fu; Anne M. Joseph; Lawrence C. An
Background Distrust in the Internet as a source of health information remains common among older adults. The influence of this distrust on Internet use for health-related purposes, however, is unclear. Objective The objective of our study was to explore how older adults’ trust in the Internet influences their online health-related activities, and to identify potential targets for improving health-related Internet resources for older adults. Methods Data were obtained from a nationally representative, random digit-dial telephone survey of 1450 adults 50 years of age and older in the United States. A model was developed to conceptualize the hypothesized relationships among individual characteristics, distrust, and avoidance of the Internet as a health resource. Multivariate logistic regression analyses were conducted to examine the association between trust in online health information and use of the Internet for health-related purposes. Additional multivariate logistic regression analyses were conducted to identify the key characteristics associated with trust in online health information, adding sequentially the variables hypothesized to account for distrust among older adults: sociodemographic and health characteristics, inexperience and technical difficulties with the Internet, negative feelings toward the Internet, and lack of awareness about the sources providing the health information found online. Results The mean (SD) age of the study population was 63.7 (10.6) years. Of the 823 (56.8%) Internet users, 628 (76.3%) reported using the Internet as a health resource. Trust in the Internet as a source of health information was associated with using the Internet for a number of health activities, including searching for information about a specific health condition (adjusted OR 4.43, P < .001), purchasing prescription drugs (adjusted OR 2.61, P = .03), and talking with a health care provider about information found online (adjusted OR 2.54, P = .002). Older adults (age ≥65 years) were less likely to trust the Internet as a source of health information (OR 0.63, P = .04), even after adjusting for other sociodemographic characteristics and health and function. This age effect was only slightly attenuated (adjusted OR 0.69, P = .13) after adjusting for inexperience and technical difficulties with the Internet, but it disappeared entirely (adjusted OR 0.96, P = .91) after adjusting for other hypothesized contributors to distrust (including finding the Internet confusing because it provides “too much information,” and lacking awareness about the source providing health information found online). Conclusions Website design features that clearly identify the source and credibility of information and minimize confusion may build trust among older adults and offer an opportunity to increase the utility of the Internet as a health resource for this population.