Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials.

BACKGROUND: Hospitalization offers smokers an opportunity to quit smoking. Starting cessation treatment in hospital is effective, but sustaining treatment after discharge is a challenge. Automated telephone calls with interactive voice response (IVR) technology could support treatment continuance after discharge. OBJECTIVE: To assess smokers' use of and satisfaction with an IVR-facilitated intervention and to test the relationship between intervention dose and smoking cessation. DESIGN: Analysis of pooled quantitative and qualitative data from the intervention groups of two similar randomized controlled trials with 6-month follow-up. PARTICIPANTS: A total of 878 smokers admitted to three hospitals. All received cessation counseling in hospital and planned to stop smoking after discharge. INTERVENTION: After discharge, participants received free cessation medication and five automated IVR calls over 3 months. Calls delivered messages promoting smoking cessation and medication adherence, offered medication refills, and triaged smokers to additional telephone counseling. MAIN MEASURES: Number of IVR calls answered, patient satisfaction, biochemically validated tobacco abstinence 6 months after discharge. KEY RESULTS: Participants answered a median of three of five IVR calls; 70% rated the calls as helpful, citing the social support, access to counseling and medication, and reminders to quit as positive factors. Older smokers (OR 1.36, 95% CI 1.20-1.54 per decade) and smokers hospitalized for a smoking-related disease (OR 1.65, 95% CI 1.21-2.23) completed more calls. Smokers who completed more calls had higher quit rates at 6-month follow-up (OR 1.49, 95% CI 1.30-1.70, for each additional call) after multivariable adjustment for age, sex, education, discharge diagnosis, nicotine dependence, duration of medication use, and perceived importance of and confidence in quitting. CONCLUSIONS: Automated IVR calls to support smoking cessation after hospital discharge were viewed favorably by patients. Higher IVR utilization was associated with higher odds of tobacco abstinence at 6-month follow-up. IVR technology offers health care systems a potentially scalable means of sustaining tobacco cessation interventions after hospital discharge. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifiers NCT01177176, NCT01714323.

Determinants of remote measurement-based care uptake in a safety net outpatient psychiatry department as part of learning health system transition.

Introduction: Behavioral measurement-based care (MBC) can improve patient outcomes and has also been advanced as a critical learning health system (LHS) tool for identifying and mitigating potential disparities in mental health treatment. However, little is known about the uptake of remote behavioral MBC in safety net settings, or possible disparities occurring in remote MBC implementation. Methods: This study uses electronic health record data to study variation in completion rates at the clinic and patient level of a remote MBC symptom measure tool during the first 6 months of implementation at three adult outpatient psychiatry clinics in a safety net health system. Provider-reported barriers to MBC adoption were also measured using repeated surveys at one of the three sites. Results: Out of 1219 patients who were sent an MBC measure request, uptake of completing at least one measure varied by clinic: General Adult Clinic, 38% (n = 262 of 696); Substance Use Clinic, 28% (n = 73 of 265); and Transitions Clinic, 17% (n = 44 of 258). Compared with White patients, Black and Portuguese or Brazilian patients had lower uptake. Older patients also had lower uptake. Spanish language of care was associated with much lower uptake at the patient level. Significant patient-level disparities in uptake persisted after adjusting for the clinic, mental health diagnoses, and number of measure requests sent. Providers cited time within visits and bandwidth in their workflow as the greatest consistent barriers to discussing MBC results with patients. Conclusions: There are significant disparities in MBC uptake at the patient and clinic level. From an LHS data infrastructure perspective, safety net health systems may need to address the need for possible ways to adapt MBC to better fit their populations and clinical needs, or identify targeted implementation strategies to close data gaps for the identified disparity populations.

Global malaria mortality between 1980 and 2010: a systematic analysis.

BACKGROUND: During the past decade, renewed global and national efforts to combat malaria have led to ambitious goals. We aimed to provide an accurate assessment of the levels and time trends in malaria mortality to aid assessment of progress towards these goals and the focusing of future efforts. METHODS: We systematically collected all available data for malaria mortality for the period 1980-2010, correcting for misclassification bias. We developed a range of predictive models, including ensemble models, to estimate malaria mortality with uncertainty by age, sex, country, and year. We used key predictors of malaria mortality such as Plasmodium falciparum parasite prevalence, first-line antimalarial drug resistance, and vector control. We used out-of-sample predictive validity to select the final model. FINDINGS: Global malaria deaths increased from 995,000 (95% uncertainty interval 711,000-1,412,000) in 1980 to a peak of 1,817,000 (1,430,000-2,366,000) in 2004, decreasing to 1,238,000 (929,000-1,685,000) in 2010. In Africa, malaria deaths increased from 493,000 (290,000-747,000) in 1980 to 1,613,000 (1,243,000-2,145,000) in 2004, decreasing by about 30% to 1,133,000 (848,000-1,591,000) in 2010. Outside of Africa, malaria deaths have steadily decreased from 502,000 (322,000-833,000) in 1980 to 104,000 (45,000-191,000) in 2010. We estimated more deaths in individuals aged 5 years or older than has been estimated in previous studies: 435,000 (307,000-658,000) deaths in Africa and 89,000 (33,000-177,000) deaths outside of Africa in 2010. INTERPRETATION: Our findings show that the malaria mortality burden is larger than previously estimated, especially in adults. There has been a rapid decrease in malaria mortality in Africa because of the scaling up of control activities supported by international donors. Donor support, however, needs to be increased if malaria elimination and eradication and broader health and development goals are to be met. FUNDING: The Bill & Melinda Gates Foundation.

Care Management of Comorbid Medical and Psychiatric Illness: A Conceptual Framework for Improving Equity of Care.

Psychiatric and medical comorbidities are common among adults in the United States. Due to the complex interplay between medical and psychiatric illness, comorbidities result in substantial disparities in morbidity, mortality, and health care costs. There is, thus, both an ethical and fiscal imperative to develop care management programs to address the needs of individuals with comorbid conditions. Although there is substantial evidence supporting the use of care management for improving health outcomes for patients with chronic diseases, the majority of interventions described in the literature are condition-specific. Given the prevalence of comorbidities, the authors of this article reviewed the literature and drew on their clinical expertise to guide the development of future multimorbidity care management programs. Their review yielded one study of multimorbidity care management and two studies of multimorbidity collaborative care. The authors supplemented their findings by describing three key pillars of effective care management, as well as specific interventions to offer patients based on their psychiatric diagnoses and illness severity. The authors proposed short-, medium-, and long-term indicators to measure and track the impact of care management programs on disparities in care. Future studies are needed to identify which elements of existing multimorbidity collaborative care models are active ingredients, as well as which of the suggested supplemental interventions offer the greatest value.

Remote Care Management for Older Adult Populations With Elevated Prevalence of Depression or Anxiety and Comorbid Chronic Medical Illness: A Systematic Review.

BACKGROUND: Comorbidity of psychiatric and medical illnesses among older adult populations is highly prevalent and associated with adverse outcomes. Care management is a common form of outpatient support for both psychiatric and medical conditions in which assessment, care planning, and care coordination are provided. Although care management is often remote and delivered by telephone, the evidence supporting this model of care is uncertain. OBJECTIVE: To perform a systematic review of the literature on remote care management programs for older adult populations with elevated prevalence of depression or anxiety and comorbid chronic medical illness. METHODS: A systematic review was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A multidatabase search was performed. Articles were included for review if they studied fully remote care management for older adult populations with elevated prevalence of depression or anxiety and chronic medical illness or poor physical health. A narrative synthesis was performed. RESULTS: A total of 6 articles representing 6 unique studies met inclusion criteria. The 6 studies included 4 randomized controlled trials, 1 case-matched retrospective cohort study, and 1 pre-post analysis. Two studies focused on specific medical conditions. All interventions were entirely telephonic. Five of 6 studies involved an intervention that was 3 to 6 months in duration. Across the 6 studies, care management demonstrated mixed results in terms of impact on psychiatric outcomes and limited impact on medical outcomes. No studies demonstrated a statistically significant impact on health care utilization or cost. CONCLUSIONS: Among older adult populations with elevated prevalence of depression or anxiety and comorbid chronic medical illness, remote care management may have favorable impact on psychiatric symptoms, but impact on physical health and health care utilization is uncertain. Future research should focus on identifying effective models and elements of remote care management for this population, with a particular focus on optimizing medical outcomes.