Todd Molfenter

Quality collaboratives: lessons from research

Quality improvement collaboratives are increasingly being used in many countries to achieve rapid improvements in health care. However, there is little independent evidence that they are more cost effective than other methods, and little knowledge about how they could be made more effective. A number of systematic evaluations are being performed by researchers in North America, the UK, and Sweden. This paper presents the shared ideas from two meetings of these researchers. The evidence to date is that some collaboratives have stimulated improvements in patient care and organisational performance, but there are significant differences between collaboratives and teams. The researchers agreed on the possible reasons why some were less successful than others, and identified 10 challenges which organisers and teams need to address to achieve improvement. In the absence of more conclusive evidence, these guidelines are likely to be useful for collaborative organisers, teams and their managers and may also contribute to further research into collaboratives and the spread of innovations in health care.

Internet Telehealth for Pediatric Asthma Case Management: Integrating Computerized and Case Manager Features for Tailoring a Web-Based Asthma Education Program

This article reports on the development of a personalized, Web-based asthma-education program for parents whose 4- to 12-year-old children have moderate to severe asthma. Personalization includes computer-based tailored messages and a human coach to build asthma self-management skills. Computerized features include the Asthma Manager, My Calendar/Reminder, My Goals, and a tailored home page. These are integrated with monthly asthma-education phone calls from an asthma-nurse case manager. The authors discuss the development process and issues and describe the current randomized evaluation study to test whether the year-long integrated intervention can improve adherence to a daily asthma controller medication, asthma control, and parent quality of life to reduce asthma-related healthcare utilization. Implications for health education for chronic disease management are raised.

Reducing Appointment No-Shows: Going from Theory to Practice

Addiction appointment no-shows adversely impact clinical outcomes and healthcare productivity. During 2007–2010, 67 treatment organizations in the Strengthening Treatment Access and Retention program were asked to reduce their no-show rates by using practices taken from no-show research and theory. These treatment organizations reduced outpatient no-show rates from 37.4% to 19.9% (p = .000), demonstrated which practices they preferred to implement, and which practices were most effective in reducing no-show rates. This study provides an applied synthesis of addiction treatment no-show research and suggests future directions for no-show research and practice.

Trends in telemedicine use in addiction treatment

IntroductionTelemedicine use in addiction treatment and recovery services is limited. Yet, because it removes barriers of time and distance, telemedicine offers great potential for enhancing treatment and recovery for people with substance use disorders (SUDs). Telemedicine also offers clinicians ways to increase contact with SUD patients during and after treatment.Case descriptionA project conducted from February 2013 to June 2014 investigated the adoption of telemedicine services among purchasers of addiction treatment in five states and one county. The project assessed purchasers’ interest in and perceived facilitators and barriers to implementing one or more of the following telemedicine modalities: telephone-based care, web-based screening, web-based treatment, videoconferencing, smartphone mobile applications (apps), and virtual worlds.Discussion and evaluationPurchasers expressed the most interest in implementing videoconferencing and smartphone mobile devices. The anticipated facilitators for implementing a telemedicine app included funding available to pay for the telemedicine service, local examples of success, influential champions at the payer and treatment agencies, and meeting a pressing need. The greatest barriers identified were: costs associated with implementation, lack of reimbursement for telemedicine services, providers’ unfamiliarity with technology, lack of implementation models, and confidentiality regulations. This paper discusses why the project participants selected or rejected different telemedicine modalities and the policy implications that purchasers and regulators of addiction treatment services should consider for expanding their use of telemedicine.ConclusionsThis analysis provides initial observations into how telemedicine is being implemented in addiction services in five states and one county. The project demonstrated that despite the considerable interest in telemedicine, implementation challenges exist. Future studies should broaden the sample analyzed and track technology implementation longitudinally to help the research and practitioner communities develop a greater understanding of technology implementation trends and practices.

The readiness of addiction treatment agencies for health care reform

The Patient Protection and Affordable Care Act (PPACA) aims to provide affordable health insurance and expanded health care coverage for some 32 million Americans. The PPACA makes provisions for using technology, evidence-based treatments, and integrated, patient-centered care to modernize the delivery of health care services. These changes are designed to ensure effectiveness, efficiency, and cost-savings within the health care system.To gauge the addiction treatment field’s readiness for health reform, the authors developed a Health Reform Readiness Index (HRRI) survey for addiction treatment agencies. Addiction treatment administrators and providers from around the United States completed the survey located on the http://www.niatx.net website. Respondents self-assessed their agencies based on 13 conditions pertinent to health reform readiness, and received a confidential score and instant feedback.On a scale of “Needs to Begin,” “Early Stages,” “On the Way,” and “Advanced,” the mean scores for respondents (n = 276) ranked in the Early Stages of health reform preparation for 11 of 13 conditions. Of greater concern was that organizations with budgets of < 

The roles of past behavior and health beliefs in predicting medication adherence to a statin regimen.

5 million (n = 193) were less likely than those with budgets > 

Improving client engagement and retention in treatment: The Los Angeles County experience

5 million to have information technology (patient records, patient health technology, and administrative information technology), evidence-based treatments, quality management systems, a continuum of care, or a board of directors informed about PPACA.The findings of the HRRI indicate that the addiction field, and in particular smaller organizations, have much to do to prepare for a future environment that has greater expectations for information technology use, a credentialed workforce, accountability for patient care, and an integrated continuum of care.

Prospective evaluation of a Bayesian model to predict organizational change

Purpose: Current medication-adherence predictive tools are based on patient medication-taking beliefs, but studying past behavior may now be a more explanatory and accessible method. This study will evaluate if past medication-refill behavior for a statin regimen is more predictive of medication adherence than patient medication-taking health beliefs. Patients and methods: This prospective longitudinal study was implemented in a national managed care plan in the United States. A group of 1433 statin patients were identified and followed for 6 months. Medication-taking health beliefs, collected from self-reported mail questionnaires, and past medication-refill behavior, using proportion of days covered (PDC), were collected prior to 6-month follow-up. Outcomes were measured using categorical PDC variable (of adherence, PDC ≥ 85%, versus nonadherence, PDC < 85%), with model fit estimated using receiver operator characteristic analysis. Results: The area under the receiver operator characteristic curve for past behavior (Az = 0.78) was significantly greater (P < 0.05) than for patient health beliefs (Az = 0.69), indicating that past prescription-refill behavior is a better predictor of medication adherence than prospective health beliefs. Among health beliefs, the factor most related to medication adherence was behavioral intent (odds ratio, 5.12; 95% confidence interval, 1.84 to 15.06). The factor most strongly related to behavioral intent was impact of regimen on daily routine (odds ratio, 3.3; 95% confidence interval, 1.41 to 7.74). Conclusion: Electronic medical records and community health-information networks may make past prescription-refill rates more accessible and assist physicians with managing medication-regimen adherence. Health beliefs, however, may still play an important role in influencing medication-taking behaviors.

Addiction treatment centers' progress in preparing for health care reform

This article discusses a two-phase demonstration project focused on the implementation of the Network for the Improvement of Addiction Treatment model of process improvement among substance abuse treatment providers in Los Angeles County, California. A total of 30 Change Teams from 12 county-contracted treatment agencies planned and executed one or more rapid-cycle change projects to reduce wait time to treatment, reduce no-shows to scheduled appointments, increase admissions, or improve continuation in treatment. The findings and lessons learned illustrate the importance of a concrete and straightforward methodology and consistent peer-to-peer interaction provided in a learning collaborative environment. In addition, both ongoing technical assistance and coaching are essential for successful implementation of this innovative, low-cost, evidence-based process improvement strategy.

Development and Test of a Model to Predict Adherence to a Medical Regimen

Abstract: This research examines a subjective Bayesian models ability to predict organizational change outcomes and sustainability of those outcomes for project teams participating in a multi-organizational improvement collaborative.