Long-Term Impact of a Community Health Worker Intervention on Diabetes Control in American Samoa.

INTRODUCTION: Diabetes Care in American Samoa (DCAS) was a randomized controlled trial of a 12-month intervention facilitated by community health workers (CHWs) that demonstrated improved HbA1c levels compared with usual care at trial completion. We sought to evaluate the long-term impact of this intervention on diabetes control. METHODS: We retrospectively collected HbA1c measurements from medical records of DCAS participants (n = 268). The study group received the intervention during the trial, and the control group received the intervention after the trial. We used mixed-effects longitudinal regression models to assess change in HbA1c within each trial arm during 3 time periods: DCAS (12 months of the study group's intervention), the first year after DCAS (control group's intervention), and the second year after DCAS. Models were adjusted for baseline characteristics that differed significantly for participants with a low number of HbA1c measurements from those with a high number of HbA1c measurements. RESULTS: After adjustment for confounders, the experiment group experienced a decrease in HbA1c of 0.28 units per year (95% confidence interval [CI], -0.64 to 0.07) during DCAS (intervention). HbA1c decreased by 0.88 units per year (95% CI, -1.31 to -0.45) during the year after the intervention. No significant change was observed the following year. HbA1c of the control group did not significantly change during DCAS (usual care) but decreased by 1.31 units per year (95% CI, -1.72 to -0.91) during its intervention. During the year after the control group's intervention, HbA1c increased by 1.18 units per year (95% CI, 0.42 to 1.93). CONCLUSION: Both groups had initial improvements in glycemic control, but HbA1c later plateaued or increased. These results suggest that time-limited CHW programs improve diabetes control in the short term, but ongoing programs are needed for sustained impact.

Impact of a diabetes control and management intervention on health care utilization in American Samoa.

OBJECTIVES: To examine the impact of a successful 12-month behavioral intervention to improve diabetes control on health care utilization in American Samoa. METHODS: A cluster-randomized design was used to assign 268 diabetes patients to a nurse-community health worker intervention or usual care. Hospitalizations, emergency department, and primary care physician visits were collected retrospectively for 1 year prior to, and during, the intervention to assess changes in health care utilization. The association of utilization changes with change in HbA1c during the intervention was assessed. RESULTS: Adjusted incidence rate ratios (RR) for primary care physician visits were significantly higher in the community health worker relative to the usual care group (RR = 1.71; 95% CI, 1.25-2.33). There was no main intervention effect on emergency department utilization, but visits in the prior year modified the intervention effect on emergency department visits. Increased primary care physician utilization was associated with greater decreases in HbA1c (b = -0.10, SE = 0.04, p = 0.01). CONCLUSIONS: A culturally adapted community health worker diabetes intervention in American Samoa significantly increased primary care physician visits, and decreased emergency department visits among those with high emergency department usage in the prior year. These changes suggest important and beneficial impacts on health system utilization from the diabetes intervention in a low resource and high-risk population.

Implementation of a culturally tailored diabetes intervention with community health workers in American Samoa.

PURPOSE: The purpose of this article is to answer key implementation questions from our translation research with a primary care-based, nurse-community health worker (CHW) team intervention to support type 2 diabetes self-management. METHODS: Descriptive data are given on intervention delivery, CHW visit content, patient safety, and intervention costs, along with statistical analyses to examine participant characteristics of higher attendance at visits. RESULTS: In the intervention sample (n = 104), 74% (SD = 16%) of planned intervention visits occurred, guided by an algorithm-based protocol. Higher risk participants had a significantly lower dose of their weekly assigned visits (66%) than those at moderate (74%) and lower risk (90%). Twenty-eight percent of participants moved to a lower risk group over the year. Estimated intervention cost was $656 per person. Participants with less education were more likely to attend optimal percentage of visits. CONCLUSIONS: A nurse-CHW team can deliver a culturally adapted diabetes self-management support intervention with excellent fidelity to the algorithm-based protocols. The team accommodated participants' needs by meeting them whenever and wherever they could. This study provides an example of adaptation of an evidence-based model to the Samoan cultural context and its resource-poor setting.

Medication-taking beliefs and diabetes in American Samoa: a qualitative inquiry.

In American Samoa (AS), nearly 22% of adults have type 2 diabetes. Diabetes is best managed by diet and lifestyle modifications and strict medication adherence. Cultural aspects might affect medication-taking beliefs, and thereby influence medication adherence. This study aims to explore diabetes medication-taking experiences and knowledge and related cultural beliefs in AS adults with diabetes and healthcare providers. Six focus groups were conducted with 39 AS adults with diabetes and individual interviews were performed with 13 diabetes healthcare providers. Data were transcribed and analyzed using NVivo 8 software. Themes pertaining to medication taking and adherence were identified. Patients and providers reported that barriers such as confusion about medications and concern about medication costs negatively influence medication taking, while cultural values and obligations both positively and negatively impact medication adherence. These findings help elucidate the relationship between medication-taking beliefs and culture in AS adults with diabetes and highlight the importance of continued research within this population.

Nurse-community health worker team improves diabetes care in American Samoa: results of a randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of a culturally adapted, primary care-based nurse-community health worker (CHW) team intervention to support diabetes self-management on diabetes control and other biologic measures. RESEARCH DESIGN AND METHODS: Two hundred sixty-eight Samoan participants with type 2 diabetes were recruited from a community health center in American Samoa and were randomly assigned by village clusters to the nurse-CHW team intervention or to a wait-list control group that received usual care. RESULTS: Participants had a mean age of 55 years, 62% were female, mean years of education were 12.5 years, 41% were employed, and mean HbA1c was 9.8% at baseline. At 12 months, mean HbA1c was significantly lower among CHW participants, compared with usual care, after adjusting for confounders (b = -0.53; SE = 0.21; P = 0.03). The odds of making a clinically significant improvement in HbA1c of at least 0.5% in the CHW group was twice the odds in the usual care group after controlling for confounders (P = 0.05). There were no significant differences in blood pressure, weight, or waist circumference at 12 months between groups. CONCLUSIONS: A culturally adapted nurse-CHW team intervention was able to significantly improve diabetes control in the U.S. Territory of American Samoa. This represents an important translation of an evidence-based model to a high-risk population and a resource-poor setting.

Patient and health care provider views of depressive symptoms and diabetes in American Samoa.

High Type 2 diabetes prevalence, associated with recent cultural changes in diet and physical activity, characterizes the U.S. territory of American Samoa. Comorbid diabetes and depression rates are high worldwide and contribute to negative diabetes outcomes; these rates have not been assessed in American Samoa. In this study, 6 focus groups were conducted with 39 American Samoan adults with diabetes; questions on perceptions of diabetes and depressive symptoms were included. Thirteen health care staff interviews were conducted to gain insight into diabetes care in American Samoa. Focus groups and health care staff interviews were translated, transcribed, and entered into NVivo 8 to facilitate analysis. Thematic analysis showed that diabetes patients saw depressive symptoms as directly contributing to high blood sugar. However, these symptoms were rarely mentioned spontaneously, and providers reported they seldom assess them in patients. Many patients and health care staff believed the best ways to respond to feelings of depression involved relaxing, leaving difficult situations, or eating. Staff also discussed cultural stigma associated with depression and the importance of establishing rapport before discussing it. Health care providers in American Samoa need training to increase their awareness of depressive symptoms' negative impact on diabetes management in patients who screen positive for depression. All providers must approach the subject in a supportive context after establishing rapport. This information will be used for cultural translation of a community health worker and primary care-coordinated intervention for adults with diabetes in American Samoa, with the goal of creating an effective and sustainable intervention.

Cultural translation of interventions: diabetes care in American Samoa.

Translation of research advances into clinical practice for at-risk communities is important to eliminate disease disparities. Adult type 2 diabetes prevalence in the US territory of American Samoa is 21.5%, but little intervention research has been carried out there. We discuss our experience with cultural translation, drawing on an emerging implementation science, which aims to build a knowledge base on adapting interventions to real-world settings. We offer examples from our behavioral intervention study, Diabetes Care in American Samoa, which was adapted from Project Sugar 2, a nurse and community health worker intervention to support diabetes self-management among urban African Americans. The challenges we experienced and solutions we used may inform adaptations of interventions in other settings.

Cancer prevention in primary care: predictors of patient counseling across four risk behaviors over 24 months.

OBJECTIVE: Rates of preventive counseling remain below national guidelines. We explored physician and patient predictors of preventive counseling across multiple cancer risk behaviors in at-risk primary care patients. METHODS: We surveyed 3557 patients, with at least one of four cancer risk behaviors: smoking, diet, sun exposure, and/or mammography screening, at baseline and 24 months. Patients reported receipt of 4A's (Ask, Advise, Assist, Arrange follow-up); responses were weighted and combined to reflect more thorough counseling (Ask=1, Advise=2, Assist=3, Arrange=4, score range 0-10) for each target behavior. A series of linear-regression models, controlling for office clustering, examined patient, physician and other situational predictors at 24 months. RESULTS: Risk behavior topics were brought up more often for mammography (90%) and smoking (79%) than diet (56%) and sun protection (30%). Assisting and Arranging follow-up were reported at low frequencies across all behaviors. More thorough counseling for all behaviors was associated with multiple visits and higher satisfaction with care. Prior counseling predicted further counseling on all behaviors except smoking, which was already at high levels. Other predictors varied by risk behavior. CONCLUSIONS: More thorough risk behavior counseling can be delivered opportunistically across multiple visits; doing so is associated with more satisfaction with care.

Determining the cost-effectiveness of a computer-based smoking cessation intervention in primary care.

PURPOSE: To evaluate the incremental effectiveness and cost-effectiveness of a staged-based, computerized smoking cessation intervention relative to standard care in an urban managed care network of primary care physicians. DESIGN: Decision-analytic model based on results of a randomized clinical trial. METHODOLOGY: Patient outcomes and cost estimates were derived from clinical trial data. Effectiveness was measured in terms of 7-day point-prevalence abstinence at 6 months post-intervention. Quality-adjusted life years (QALYs) and cost-effectiveness (CE) were calculated, with CE measured as cost per patient per life year saved and per quality-adjusted life years saved. CE estimates were adjusted to account for partial behavior change as measured in terms of progression in stage of readiness to quit. Sensitivity analyses were conducted to evaluate the robustness of key model assumptions. PRINCIPAL FINDINGS: Intervention patients were 1.77 times more likely to be smoke-free at 6 months follow-up than those in standard care (p=.078). The intervention generated an additional 3.24 quitters per year. Annualized incremental costs were $5,570 per primary care practice, and $40.83 per smoker. The mean incremental cost-effectiveness ratio was $1,174 per life year saved ($869 per QALY). When the intervention impact on progression in stage of readiness to quit was also considered, the mean incremental cost-effectiveness ratio declined to $999 per life year saved ($739 per QALY). CONCLUSIONS: From a physician's practice perspective, the stage-based computer tailored intervention was cost-effective relative to standard care. Incorporation of partial behavior change into the model further enhanced favorability of the cost-effectiveness ratio.

Providence school asthma partnership: school-based asthma program for inner-city families.

Over 3 years, 972 families participated in an after-school asthma program at their child's school. Parents and children attended concurrent 2(1/2)-hour workshops. Parents were 74% Latino; 45% non-English speaking, with 77% of children on Medicaid. Asthma symptoms were significantly reduced, from multiple times per week to less than once per week on average. Oral steroid use decreased to one third of baseline use. Hospital days decreased from 11% to 2%; emergency visits decreased 35% to 4%; and school days missed decreased 48% to 20%. This program has now become sustainable with both private and Medicaid insurance coverage.

Assessment of parents' smoking behaviors at a pediatric emergency department.

The pediatric emergency department is an important source of treatment for children with complaints related to environmental tobacco smoke (ETS) and may provide a teachable moment to address parent smoking. Parents who smoke were recruited from a pediatric emergency department waiting room and completed an interview assessment used to develop intervention messages. Of the 715 parents in the final sample, 77% were women, 60% White, and 60% low income (

Randomized controlled trial of a computer-based, tailored intervention to increase smoking cessation counseling by primary care physicians.

OBJECTIVE: The primary care visit represents an important venue for intervening with a large population of smokers. However, physician adherence to the Smoking Cessation Clinical Guideline (5As) remains low. We evaluated the effectiveness of a computer-tailored intervention designed to increase smoking cessation counseling by primary care physicians. METHODS: Physicians and their patients were randomized to either intervention or control conditions. In addition to brief smoking cessation training, intervention physicians and patients received a one-page report that characterized the patients' smoking habit and history and offered tailored recommendations. Physician performance of the 5As was assessed via patient exit interviews. Quit rates and smoking behaviors were assessed 6 months postintervention via patient phone interviews. Intervention effects were tested in a sample of 70 physicians and 518 of their patients. Results were analyzed via generalized and mixed linear modeling controlling for clustering. MEASUREMENTS AND MAIN RESULTS: Intervention physicians exceeded controls on "Assess" (OR 5.06; 95% CI 3.22, 7.95), "Advise" (OR 2.79; 95% CI 1.70, 4.59), "Assist-set goals" (OR 4.31; 95% CI 2.59, 7.16), "Assist-provide written materials" (OR 5.14; 95% CI 2.60, 10.14), "Assist-provide referral" (OR 6.48; 95% CI 3.11, 13.49), "Assist-discuss medication" (OR 4.72;95% CI 2.90, 7.68), and "Arrange" (OR 8.14; 95% CI 3.98, 16.68), all p values being < 0.0001. Intervention patients were 1.77 (CI 0.94, 3.34,p = 0.078) times more likely than controls to be abstinent (12 versus 8%), a difference that approached, but did not reach statistical significance, and surpassed controls on number of days quit (18.4 versus 12.2, p < .05) but not on number of quit attempts. CONCLUSIONS: The use of a brief computer-tailored report improved physicians' implementation of the 5As and had a modest effect on patients' smoking behaviors 6 months postintervention.

Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms.

BACKGROUND: Treating multiple health behavior risks on a population basis is one of the most promising approaches to enhancing health and reducing health care costs. Previous research demonstrated the efficacy of expert system interventions for three behaviors in a population of parents. The interventions provide individualized feedback that guides participants through the stages of change for each of their risk behaviors. This study extended that research to a more representative population of patients from primary care practice and to targeting of four rather than three behaviors. METHODS: Stage-based expert systems were applied to reduce smoking, improve diet, decrease sun exposure, and prevent relapse from regular mammography. A randomized clinical controlled trial recruited 69.2% of primary care patients (N = 5407) at home via telephone. Three intervention contacts were delivered for each risk factor at 0, 6, and 12 months. The primary outcome measures were the percentages of at-risk patients at baseline who progressed to the action or maintenance stages at 24-month follow-up for each of the risk behaviors. RESULTS: Significant treatment effects were found for each of the four behaviors, with 25.4% of intervention patients in action or maintenance for smoking, 28.8% for diet, and 23.4% for sun exposure. The treatment group had less relapse from regular mammography than the control group (6% vs. 10%). CONCLUSION: Proactive, home-based, and stage-matched expert systems can produce relatively high population impacts on multiple behavior risks for cancer and other chronic diseases.

Multiple behavioral risk factor interventions in primary care. Summary of research evidence.

BACKGROUND: An important barrier to the delivery of health behavior change interventions in primary care settings is the lack of an integrated screening and intervention approach that can cut across multiple risk factors and help clinicians and patients to address these risks in an efficient and productive manner. METHODS: We review the evidence for interventions that separately address lack of physical activity, an unhealthy diet, obesity, cigarette smoking, and risky/harmful alcohol use, and evidence for interventions that address multiple behavioral risks drawn primarily from the cardiovascular and diabetes literature. RESULTS: There is evidence for the efficacy of interventions to reduce smoking and risky/harmful alcohol use in unselected patients, and evidence for the efficacy of medium- to high-intensity dietary counseling by specially trained clinicians in high-risk patients. There is fair to good evidence for moderate, sustained weight loss in obese patients receiving high-intensity counseling, but insufficient evidence regarding weight loss interventions in nonobese adults. Evidence for the efficacy of physical activity interventions is limited. Large gaps remain in our knowledge about the efficacy of interventions to address multiple behavioral risk factors in primary care. CONCLUSIONS: We derive several principles and strategies for delivering behavioral risk factor interventions in primary care from the research literature. These principles can be linked to the "5A's" construct (assess, advise, agree, assist, and arrange-follow up) to provide a unifying conceptual framework for describing, delivering, and evaluating health behavioral counseling interventions in primary healthcare settings. We also provide recommendations for future research.

Assessing the transtheoretical model of change constructs for physicians counseling smokers.

Baseline data from a population-based sample of 259 primary care physicians were used to examine the interrelations of 3 central constructs of the Transtheoretical Model of Change (TTM; stages of change, self-efficacy, and decisional balance) in regard to smoking cessation counseling behavior. In this article we explore the potential use of the TTM for future interventions to help understand and guide physicians' behavior change toward increasing adoption of smoking cessation interventions with their patients. It was hypothesized that self-efficacy and the decisional balance of counseling would be significantly related to physicians' stages of change, which in turn would be related to self-reported physician counseling behavior. Principal components analyses were conducted to examine the self-efficacy and decisional balance constructs. Coefficient alphas were.90 for self-efficacy and.84 and.78 for the pros and cons scales, respectively. Consistent with the TTM, analyses of variance revealed that later stages of physicians' readiness to provide smoking cessation counseling were associated with higher self-efficacy scores. Earlier stages showed significantly higher cons and lower pros of smoking cessation counseling. Structural equation modeling procedures supported the hypothesized path analysis model in which 3 constructs related to stage of readiness, which in turn related to reported physicians' counseling behavior.

An academic detailing intervention to disseminate physician-delivered smoking cessation counseling: smoking cessation outcomes of the Physicians Counseling Smokers Project.

BACKGROUND: Little is known about the effectiveness of interventions to disseminate smoking cessation interventions among a population of primary care physicians. This study's objective was to determine the effect of a community-based academic detailing intervention on the quit rates of a population-based sample of smokers. METHODS: This community-based, quasi-experimental study involved representative samples of 259 primary care physicians and 4295 adult smokers. An academic detailing intervention was delivered to physicians in intervention areas over a period of 15 months. Analyses were performed on the data from the 2346 subjects who reported at least one physician visit over 24 months. Multivariate regression analyses were conducted to determine the impact of the intervention on self-reported smoking quit rates, reported by adjusted odds ratios. RESULTS: Among smokers reporting a physician visit during the study period, there was a borderline significant effect for those residing in intervention areas versus control areas (OR = 1.35; 95% CI.99-1.83; P = 0.057). Among a subgroup of 819 smokers who reported a visit with an enrolled physician, we observed a significant effect for those residing in intervention areas (OR = 1.80; 95% CI 1.16-2.75; P = 0.008). CONCLUSION: An academic detailing intervention to enhance physician delivered smoking cessation counseling is an effective strategy for disseminating smoking cessation interventions among community-based practices.

Physician recruitment for a community-based smoking cessation intervention.

OBJECTIVE: Our goal was to describe a strategy to recruit a population-based sample of physicians into a trial to test an approach to disseminate physician-delivered smoking cessation interventions. STUDY DESIGN: The 3-phase population-based recruitment trial included: (1) a print-based promotional appeal, (2) in-person presentations with by the principal investigator (PI), and (3) follow-up calls by the PI and paid physician recruiters. Participation requirements were kept minimal to facilitate recruitment. POPULATION: All primary care physicians statewide were targeted; 3 counties were chosen as intervention areas and 2 counties as control areas. A subsample of physicians was targeted in the larger control areas through a matching process. OUTCOME MEASURED: We measured physician recruitment rate. RESULTS: Eighty-one percent (n=259) of all eligible physicians were successfully recruited into our study. CONCLUSIONS: The full multistep process was important in getting participation agreement. By using an intensive recruitment strategy and minimizing research demands, it is possible to recruit community-based primary care physicians for research projects that will help them enhance the preventive services they provide to their patients.