No health without access: using a retrospective cohort to model a care continuum for people released from prison at an urban, safety net health system.

BACKGROUND: Release from prison is characterized by discontinuity of healthcare services and results in poor health outcomes, including an increase in mortality. Institutions capable of addressing this gap in care seldom collaborate in comprehensive, data-driven transition of care planning. This study harnesses information from a data exchange between correctional facilities and community-based healthcare agencies in Colorado to model a care continuum after release from prison. METHODS: We merged records from Denver Health (DH), an urban safety-net healthcare system, and the Colorado Department of Corrections (CDOC), for people released from January 1 to June 30, 2021. The study population was either (a) released to the Denver metro area (Denver and its five neighboring counties), or (b) assigned to the DH Regional Accountable Entity, or (c) assigned to the DH medical home based on Colorado Department of Healthcare Policy and Financing attribution methods. Outcomes explored were outpatient, acute care, and inpatient utilization in the first 180 days after release. We used Pearson's chi-squared tests or Fisher exact for univariate comparisons and logistic regression for multivariable analysis. RESULTS: The care continuum describes the healthcare utilization at DH by people released from CDOC. From January 1, 2021, to June 30, 2021, 3242 people were released from CDOC and 2848 were included in the data exchange. 905 individuals of the 2848 were released to the Denver metro area or attributed to DH. In the study population of 905, 78.1% had a chronic medical or psychological condition. Within 180 days of release, 31.1% utilized any health service, 24.5% utilized at least one outpatient service, and 17.1% utilized outpatient services two or more times. 10.1% utilized outpatient services within the first 30 days of release. CONCLUSIONS: This care continuum highlights drop offs in accessing healthcare. It can be used by governmental, correctional, community-based, and healthcare agencies to design and evaluate interventions aimed at improving the health of a population at considerable risk for poor health outcomes and death.

A Mortality Surveillance Collaboration Between a Health System and Public Health Department.

We describe a collaboration between a health system and public health department to create a mortality surveillance system. The collaboration enabled the health system to identify more than six times the number of deaths identified through local system medical records alone. This powerful epidemiological process, combining the nuanced data captured through clinical care in health systems with subsequent data on mortality, drives quality improvement, scientific research, and epidemiology that can be of particular benefit to underserved communities. (Am J Public Health. 2023;113(9):943-946. https://doi.org/10.2105/AJPH.2023.307335).

Total cost of care associated with opioid use disorder treatment.

The opioid epidemic in the United States disproportionately affects Medicaid beneficiaries than other groups. This results in a significant financial burden on state Medicaid programs. In this analysis, we investigate the association of medication for opioid use disorder (MOUD) treatment initiation and linkage to ongoing care on overall healthcare costs of Medicaid Fee-for-Service patients. We conducted a retrospective study among adult patients diagnosed with opioid use disorder (OUD) and who had a clinical encounter at a safety-net institution in Denver Colorado in 2020. Three categories of MOUD status of patients were defined: 1) identified with OUD but did not receive MOUD; 2) initiated MOUD but not linked to ongoing treatment and 3) received MOUD and linked to ongoing treatment. Our outcome variable was per-member per-month total healthcare cost. We estimated a multivariable model to test the association between healthcare cost and MOUD status, while controlling for demographic and risk classification variables. We found that in individuals with OUD who initiated MOUD treatment but were not linked to ongoing care had the highest healthcare cost, while those who were linked to ongoing MOUD treatment had the lowest healthcare cost. MOUD treatment is not only effective at addressing the significant morbidity and mortality burden of OUD but also associated with decreased financial cost, which is disproportionately incurred by Medicaid. Additional policy and care delivery changes are needed to focus efforts to improve linkage to ongoing treatment.

No-Show Rates for Telemedicine Versus In-Person Appointments During the COVID-19 Pandemic: Implications for Medicaid Populations.

The objective of this study was to assess no-show rates among in-person and telemedicine visits during the COVID-19 pandemic among Medicaid members. We analyzed data from an urban safety net hospital in Denver, Colorado. Using multivariable binomial regression models, we estimated differences in probability of no shows by patient characteristics and assessed for effect modification by telemedicine use. Overall, the no-show rate was 20.5% with increased probability of no show among Hispanic (2.3%) and non-Hispanic, Black (7.4%) patients compared with their non-Hispanic, White counterparts. Modification by telemedicine was observed, decreasing no-show rates among both groups (P < .0001). Similar patterns were observed among medically complex patients. Audio-only telemedicine significantly impacted no-show rates within certain populations.

Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population.

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Association Between In-Clinic Opioid Administration and Discharge Opioid Prescription in Urgent Care: a Retrospective Cohort Study.

BACKGROUND: Emergency departments increasingly use nonopioid analgesics to manage acute pain and minimize opioid-related harms. Urgent care centers are expanding to lower costs and provide efficient access to healthcare. General internists increasingly work in these acute care settings. Much is known about opioid prescribing in the primary care, inpatient, and emergency department setting. Little is known about opioid prescribing in the urgent care setting and associated outcomes. OBJECTIVES: To assess the association between in-clinic opioid administration and opioid receipt at clinic discharge and on progression to chronic opioid use among urgent care patients. DESIGN: Retrospective cohort study. PARTICIPANTS: Patients, 20 years or older and not on opioid medications, who presented for care to an urgent care clinic within a safety-net healthcare system from June 1, 2016, to April 30, 2019. MAIN MEASURES: We examined the association between the in-clinic administration of oral or intravenous opioids and opioid receipt at clinic discharge. We also examined the association between in-clinic opioid administration and progression to chronic opioid use after six months. KEY RESULTS: The study sample included 34,978 patients, of which 13.8% (n = 4842) received in-clinic opioids and 86.2% (n = 30,136) did not receive in-clinic opioids. After adjusting for age, gender, race/ethnicity, insurance, and pain diagnosis, patients who received in-clinic opioids were more likely to receive opioids at discharge compared to patients who did not receive in-clinic opioids (aOR = 12.30, 95% CI 11.44-13.23). Among a selected cohort of patients, in-clinic opioid administration was associated with progression to chronic opioid use (aOR = 2.12, 95% CI 1.66-2.71). CONCLUSIONS: In-clinic opioid administration was strongly associated with opioid receipt at discharge and progression to chronic opioid use. Increased use of nonopioid analgesics in urgent care could likely reduce this association and limit opioids available for diversion, overdose, and death.

Body Mass Index and Blood Pressure Improvements With a Pediatric Weight Management Intervention at Federally Qualified Health Centers.

OBJECTIVE: The Mind, Exercise, Nutrition, Do It! 7-13 (MEND 7-13) program was adapted in 2016 by 5 Denver Health federally qualified health centers (DH FQHC) into MEND+, integrating clinician medical visits into the curriculum and tracking health measures within an electronic health record (EHR). We examined trajectories of body mass index (BMI, kg/m2) percentile, and systolic and diastolic blood pressures (SBP and DBP) among MEND+ attendees in an expanded age range of 4 to 17 years, and comparable nonattendees. METHODS: Data from April 2015 to May 2018 were extracted from DH FQHC EHR for children eligible for MEND+ referral (BMI ≥85th percentile). The sample included 347 MEND+ attendees and 21,061 nonattendees. Mixed-effects models examined average rate of change for BMI percent of the 95th percentile (%BMIp95), SBP and DBP (mm Hg), after completion of the study period. RESULTS: Most children were ages 7 to 13 years, half were male, and most were Hispanic. An average of 4.2 MEND+ clinical sessions were attended. Before MEND+, %BMIp95 increased by 0.247 units/month among MEND+ attendees. After attending, %BMIp95 decreased by 0.087 units/month (P < .001). Eligible nonattendees had an increase of 0.084/month in %BMIp95. Before MEND+ attendance, SBP and DBP increased by 0.041 and 0.022/month, respectively. After MEND+ attendance, SBP and DBP decreased by 0.254/month (P < .001) and 0.114/month (P < .01), respectively. SBP and DBP increased by 0.033 and 0.032/month in eligible nonattendees, respectively. CONCLUSIONS: %BMIp95, SBP, and DBP significantly decreased among MEND+ attendees when implemented in community-based clinical practice settings at DH FQHC.

Child characteristics and early intervention referral and receipt of services: a retrospective cohort study.

BACKGROUND: Early Intervention (EI) is a federally mandated, state-administered system of care for children with developmental delays and disabilities under the age of three. Gaps exist in the process of accessing EI through pediatric primary care, and low rates of EI access are well documented and disproportionately affect poor and minority children. The aims of this paper are to examine child characteristics associated with gaps in EI (1) referral, (2) access and (3) service use. To our knowledge, this is the first study to leverage linked safety net health system pediatric primary care and EI records data to follow EI-referred children longitudinally to understand EI service use gaps from EI referral to EI service utilization. METHODS: In a retrospective cohort design (14,710 children with developmental disability or delay), we linked pediatric primary care records between a large, integrated safety net health system in metro Denver and its corresponding EI program (2014-2016). Using adjusted marginal effects [ME, (95% CI)], we estimated gaps in EI referral, access, and service type (i.e., physical [PT], occupational [OT], speech therapy [ST] and developmental intervention [DI]). Analyses accounted for child characteristics including socio-demographics, diagnosis, condition severity, and baseline function. RESULTS: Only 18.7% of EI-eligible children (N = 2726) received a referral; 26% of those (N = 722) received services for a net enrollment rate of 5% among EI-eligible children. Having the most severe developmental condition was positively associated with EI referral [ME = 0.334 [0.249, 0.420]) and Individualized Family Services Plan (IFSP) receipt [ME = 0.156 [0.088, 0.223]). Children less likely to be EI-referred were Black, non-Hispanic (BNH) [ME = -0.029 (- 0.054, - 0.004)] and had a diagnosed condition ([ME = - 0.046 (- 0.087, - 0.005)]. Children with a diagnosis and those with higher income were more likely to receive PT or OT. Higher baseline cognitive and adaptive skills were associated with lower likelihood of PT [ME = -0.029 (- 0.054, - 0.004)], OT [ME = -0.029 (- 0.054, - 0.004)], and ST [ME = -0.029 (- 0.054, - 0.004)]. CONCLUSIONS: We identified and characterized gaps in EI referral, access, and service use in an urban safety-net population of children with high rates of developmental delay. Interventions are needed to improve integrated systems of care affecting primary care and EI processes and coordination.

Antimicrobial resistance patterns in urinary E. coli isolates after a change in a single center's guidelines for uncomplicated cystitis in ambulatory settings.

Recommending nitrofurantoin to treat uncomplicated cystitis was associated with increased nitrofurantoin use from 3.53 to 4.01 prescriptions per 1,000 outpatient visits, but nitrofurantoin resistance in E. coli isolates remained stable at 2%. Concomitant levofloxacin resistance was a significant risk for nitrofurantoin resistance in E. coli isolates (odds ratio [OR], 2.72; 95% confidence interval [CI], 1.04-7.17).

The impact of tailored intervention services on charges and mortality for adult super-utilizers.

BACKGROUND: Interventions designed to improve care and reduce costs for patients with the highest rates of hospital utilization (super-utilizers) continue to proliferate, despite conflicting evidence of cost savings. METHODS: We evaluated a practice transformation intervention that implemented team-based care and risk-stratification to match specific primary care resources based on need. This included an intensive outpatient clinic for super-utilizers. We used multivariate regression and a difference-in-differences approach to compare changes in mortality, utilization, and charges between the intervention group and a historical control. Sensitivity analyses tested the robustness of findings and revealed the inherent challenges associated with quasi-experimental designs. RESULTS: Observed charges for the intervention group were significantly lower than expected charges as derived by the trend of the historical control (p<0.04) resulting in total charge avoidance of approximately $26 million. While inpatient admissions were significantly higher (p<0.01), charges associated with total inpatient (p=0.01), intensive-care unit (p<0.05, not robust to sensitivity analyses), and surgery (p<0.01) were significantly lower than expected in the intervention group. One year mortality was significantly less in the intervention group (12.6% vs 11.5%, p<0.01). CONCLUSIONS: The use of tailored services, including a dedicated intensive outpatient clinic, for super-utilizers within a larger primary care practice transformation reduced mortality and provided significant savings, even while total hospitalizations increased. These savings were achieved through a reduction in the intensity of inpatient services. The unexpected finding of a reduction in ICU charges deserves further exploration. IMPLICATIONS: These findings suggest that intensity of inpatient service, and not merely volume of services, should be considered a focus for future intervention design and evaluated as an outcome. LEVEL OF EVIDENCE: Level III (Quasi-Experimental Design).

Appointment reminders by text message in a safety net health care system: a pragmatic investigation.

INTRODUCTION: Short Message Service (SMS) appointment reminders may provide a wide-reaching, low cost approach to reducing operational inefficiencies and improving access to care. Previous studies indicate this modality may improve attendance rates, yet there is a need for large-scale, pragmatic studies that include unintended consequences and operational costs. METHODS: This pragmatic investigation was a before-after analysis that compared visit attendance outcomes among patients who opted into SMS appointment reminders with outcomes among those who declined over an 18-month evaluation period from March 25, 2013, to September 30, 2014. Eligibility in our integrated safety net health care system included age greater than 17, English or Spanish as a primary language, and a cell phone number in our scheduling system. RESULTS: 47,390 patients were invited by SMS to participate, of which 20,724 (43.7 percent) responded with 18,138 opting in (81.5 percent of respondents). Participants received SMS reminders for 77,783 scheduled visits; comparison group patients (N=72,757) were scheduled for 573,079 visits during the evaluation period. Intervention and comparison groups had, respectively, attendance rates of 72.8 percent versus 66.1 percent (p<0.001), cancellation rates of 13.2 percent versus 18.6 percent (p<0.001), and no show rates of 14.0 percent versus 15.3 percent. Patient satisfaction with text messaging ranged from 77 percent to 96 percent. Implementation challenges included a low rate of inaccurate reminders due to non-standard use of the scheduling system across clinical departments. DISCUSSION: SMS appointment reminders improve patient satisfaction and provide a low operating cost approach to reducing operational inefficiencies through improved attendance rates in an integrated safety net health care system.

Augmenting Predictive Modeling Tools with Clinical Insights for Care Coordination Program Design and Implementation.

CONTEXT: The Center for Medicare and Medicaid Innovation (CMMI) awarded Denver Health's (DH) integrated, safety net health care system $19.8 million to implement a "population health" approach into the delivery of primary care. This major practice transformation builds on the Patient Centered Medical Home (PCMH) and Wagner's Chronic Care Model (CCM) to achieve the "Triple Aim": improved health for populations, care to individuals, and lower per capita costs. CASE DESCRIPTION: This paper presents a case study of how DH integrated published predictive models and front-line clinical judgment to implement a clinically actionable, risk stratification of patients. This population segmentation approach was used to deploy enhanced care team staff resources and to tailor care-management services to patient need, especially for patients at high risk of avoidable hospitalization. Developing, implementing, and gaining clinical acceptance of the Health Information Technology (HIT) solution for patient risk stratification was a major grant objective. FINDINGS: In addition to describing the Information Technology (IT) solution itself, we focus on the leadership and organizational processes that facilitated its multidisciplinary development and ongoing iterative refinement, including the following: team composition, target population definition, algorithm rule development, performance assessment, and clinical-workflow optimization. We provide examples of how dynamic business intelligence tools facilitated clinical accessibility for program design decisions by enabling real-time data views from a population perspective down to patient-specific variables. CONCLUSIONS: We conclude that population segmentation approaches that integrate clinical perspectives with predictive modeling results can better identify high opportunity patients amenable to medical home-based, enhanced care team interventions.

Pediatric influenza immunization in an integrated safety net health care system.

OBJECTIVE: In 2008 the Advisory Committee on Immunization Practices (ACIP) of the Centers for Disease Control and Prevention (CDC) recommended that all children aged 6 months to 18 years receive annual influenza vaccine. Full pediatric influenza administration has proven difficult. We compared rates of full influenza immunization between a safety net health care system and CDC sentinel sites and evaluated sociodemographic factors associated with full influenza immunization. PATIENTS AND METHODS: We matched influenza immunization data for 2008-2009 from a health care system immunization registry with patient demographic/billing data and compared rates to CDC sentinel sites using bivariate analysis. We evaluted immunization rates by patient characteristics using multivariate analysis. RESULTS: Full influenza immunization was achieved in 32% of Denver Health (DH) children compared to 12% at the CDC sites (p<0.001). The largest differences occurred in children aged 11-12 and 13-18 years, 47% DH vs 12% CDC sites, and 33% DH vs 9% CDC sites respectively, (p<0.001 for both). In multivariate analysis, DH children were more likely to be immunized if they were Asian, Odds Ratio (OR) 1.59 95%CI (CI) 1.32-1.91, or Hispanic OR 1.18 CI 1.07-1.30, compared to white, spoke Spanish OR 1.19 CI 1.13-1.26, or other non-English language OR 2.05 CI 1.80-2.34, and had a greater number of visits for well care OR 2.86 CI 2.74-2.98 and sick/follow-up care OR 1.59 CI 1.56-1.62, during the influenza season. They were less likely to be immunized if they had commercial insurance OR 0.68 CI 0.62-0.75 or were uninsured OR 0.77 CI 0.72-0.80, compared to Medicaid/SCHIP. CONCLUSIONS: Using immunization registry prompts, standing orders, multiple sites and visit types for immunization, an integrated safety net health care system had higher full influenza immunization rates than the CDC sentinel sites singularly or collectively. These procedures can be applied elsewhere to improve influenza immunization rates.

Nurse-run, telephone-based outreach to improve lipids in people with diabetes.

BACKGROUND: There is a need for randomized, prospective trials of case management interventions with resource utilization analyses. OBJECTIVES: To determine whether algorithm-driven telephone care by nurses improves lipid control in patients with diabetes. DESIGN: Prospective, randomized, controlled trial. PARTICIPANTS: Adults with diabetes at a federally funded community health center were randomly assigned to intervention (n = 381) or usual-care (n = 381) groups. INTERVENTIONS: Nurses independently initiated and titrated lipid therapy and promoted behavioral change through motivational interviewing and self-management techniques. Other parameters of diabetes care were addressed based on time constraints. MAIN MEASURES: The primary outcome was the proportion of patients with a low-density lipoprotein (LDL) less than 100 mg/dL. Secondary outcomes included the number of hospital admissions, total hospital charges per patient, and the proportion of patients meeting other lipid, glycemic, and blood pressure guidelines. KEY RESULTS: The percent of patients with an LDL < 100 mg/dL increased from 52.0% to 58.5% in the intervention group and decreased from 55.6% to 46.7% in the control group (P < .01). Average cost per patient to the healthcare system was less for the intervention group ($6600 vs $9033, P = .03). Intervention patients trended toward fewer hospital admissions (P = .06). The intervention did not affect glycemic and blood pressure outcomes. CONCLUSIONS: Nurses can improve lipid control in patients with diabetes in a primarily indigent population through telephone care using moderately complex algorithms, but a more targeted approach is warranted. Telephone-based outreach may decrease resource utilization, but more study is needed.

Addressing adolescent immunization disparities: a retrospective analysis of school-based health center immunization delivery.

OBJECTIVES: We compared completion rates for adolescent immunization series administered at school-based health centers (SBHCs) to completion rates for series administered at community health centers (CHCs) within a single integrated delivery system. METHODS: We performed a retrospective analysis of data from an immunization registry for patients aged 12-18 years. Patients were assigned to either an SBHC or a CHC during the study interval based on utilization. We used bivariate analysis to compare immunization series completion rates between the 2 groups and multivariate analysis to compare risk factors for underimmunization. We performed subanalyses by ages 12-15 years versus ages 16-18 years for human papillomavirus (HPV) and for the combination of HPV; tetanus, diptheria, and pertussis (Tdap); and tetravalent meningococcus virus. RESULTS: SBHC users had significantly higher completion rates (P<.001) for hepatitis B, Tdap, inactivated poliovirus, varicella, measles/mumps/rubella, and HPV for ages 16-18 years, and for the combination of HPV, Tdap, and MCV4 for ages 16-18 years. CHC users had higher completion rates for tetanus and diphtheria. CONCLUSIONS: SBHCs had higher completion rates than did CHCs for immunization series among those aged 12-18 years, despite serving a population with limited insurance coverage.

Evaluating the cost-effectiveness of cancer patient navigation programs: conceptual and practical issues.

Patient navigators-individuals who assist patients through the healthcare system to improve access to and understanding of their health and healthcare-are increasingly used for underserved individuals at risk for or with cancer. Navigation programs can improve access, but it is unclear whether they improve the efficiency and efficacy of cancer diagnostic and therapeutic services at a reasonable cost, such that they would be considered cost-effective. In the current study, the authors outline a conceptual model for evaluating the cost-effectiveness of cancer navigation programs. They describe how this model is being applied to the Patient Navigation Research Program, a multicenter study supported by the National Cancer Institute's Center to Reduce Cancer Health Disparities. The Patient Navigation Research Program is testing navigation interventions that aim to reduce time to delivery of quality cancer care (noncancer resolution or cancer diagnosis and treatment) after identification of a screening abnormality. Examples of challenges to evaluating cost-effectiveness of navigation programs include the heterogeneity of navigation programs, the sometimes distant relation between navigation programs and outcome of interest (eg, improving access to prompt diagnostic resolution and life-years gained), and accounting for factors in underserved populations that may influence both access to services and outcomes. In this article, the authors discuss several strategies for addressing these barriers. Evaluating the costs and impact of navigation will require some novel methods, but will be critical in recommendations concerning dissemination of navigation programs.

Emergence of fluoroquinolone resistance in outpatient urinary Escherichia coli isolates.

BACKGROUND: Because of high rates of trimethoprim-sulfamethoxazole resistance in Escherichia coli, Denver Health switched to levofloxacin as the initial therapy for urinary tract infections (UTIs) in 1999. We evaluated the effects of that switch 6 years later. METHODS: Levofloxacin prescriptions per 1000 outpatient visits and levofloxacin resistance in outpatient E. coli were evaluated over time. E. coli isolated in 2005 were further characterized by specimen source and antimicrobial susceptibilities. Risk factors for levofloxacin-resistant E. coli UTI among nonpregnant adult outpatients were evaluated in a case-control study. RESULTS: Between 1998 and 2005, levofloxacin use increased from 3.1 to 12.7 prescriptions per 1000 visits (P<.01) and resistance in outpatients increased from 1% to 9% (P<.01). Although prescriptions for sulfonamide antibiotics decreased by half during the same period, E. coli resistance to trimethoprim-sulfamethoxazole increased from 26.1% to 29.6%. Levofloxacin-resistant E. coli were more likely resistant to other antibiotics than levofloxacin-susceptible isolates (90% vs 43%, P<.0001). Risk factors for levofloxacin-resistant E. coli UTI were hospitalization (odds ratio for each week of hospitalization, 2.0; 95% confidence interval, 1.0-3.9) and use of levofloxacin (odds ratio, 5.6; 95% confidence interval, 2.1-27.5) within the previous year. CONCLUSION: Fluoroquinolone prescriptions increased markedly after an institutional policy change for empiric treatment of UTI, and a rapid increase in fluoroquinolone resistance among outpatient E. coli followed. Risk factors for infection with resistant E. coli were recent hospitalization and levofloxacin use. Risk factors should be considered before initiating empiric treatment with a fluoroquinolone.

Design of a nurse-run, telephone-based intervention to improve lipids in diabetics.

This randomized, controlled trial tested the effectiveness of a nurse-run, telephone-based intervention to improve lipid control in patients with diabetes. Our patient population is predominantly low-income and Latino. Using our diabetes registry, we randomly assigned 381 patients to continue with their usual care and 381 to participate in our nurse-run program. Three registered nurses learned algorithms for diabetes care. These algorithms address management of lipids, glycemic control, blood pressure, nephropathy, aspirin use, eye screening, pneumovax and influenza vaccines, obesity, and cigarette smoking. The nurses were also trained in motivational interviewing techniques and facilitation of patient self-management. The primary goal was to improve lipid control in our diabetic population. Secondary outcomes address blood pressure control, glycemic control, renal function, and medication adherence. In addition, a cost-effective analysis is being performed. This article summarizes the design of the intervention.

Lack of ethnic disparities in adult immunization rates among underserved older patients in an urban public health system.

BACKGROUND: In some settings, immunization rates for ethnic minorities are less than those of non-Hispanic white populations. This study examines demographic differences in the rate of pneumococcal and influenza immunization in an ethnically diverse older patient population seeking care at an urban primary care clinic system. METHODS: The setting is an integrated system of 11 federally qualified community health centers serving approximately 100,000 unduplicated patients annually. We linked data from chart audits performed in 2001-2003 for quality assurance purposes with patient registration data to evaluate vaccination rates in 740 patients age 66 years and older who had at least 3 primary care visits in the previous 2 years. RESULTS: Factors significantly associated with receipt of pneumococcal vaccination in multivariable analysis were Hispanic ethnicity (odds ratio [OR] 1.66-1.77, P = 0.01), medical comorbidities (OR 1.48, P = 0.03), psychiatric comorbidities (OR 2.0, P = 0.001), use of a family medicine versus internal medicine clinic (OR 2.3, P < 0.001), and age (OR 1.04 for 1 year increase, P = 0.004). Factors significantly associated with influenza vaccination were having insurance (OR 2.25, P = 0.014), medical comorbidities (OR 1.71, P = 0.036), age (OR 1.03 for 1 year increase, P = 0.045), later year of audit (OR 1.68-1.73, P = 0.015), and a greater number of clinic visits (OR 1.69, P = 0.006). CONCLUSIONS: Among older regular users of our public community health centers, minority populations have equal or higher immunization rates compared with non-Hispanic whites.

Measuring return on investment of outreach by community health workers.

Community health workers (CHWs) are effective in improving access to health care, promoting client knowledge and behavior change, and contributing to improved health status of individuals. However, few outreach programs have evaluated the financial impact of CHWs on health care systems and policies. A longitudinal repeated measures design was used to assess the return on investment (ROI) of outreach by CHWs employed by Denver Health Community Voices. Service utilization, charges and reimbursements for 590 underserved men were analyzed 9 months before and after interaction with a CHW. Primary and specialty care visits increased and urgent care, inpatient, and outpatient behavioral health care utilization decreased, resulting in a reduction of monthly uncompensated costs by $14,244. Program costs were $6,229 per month and the ROI was 2.28:1.00, a savings of $95,941 annually. These data provide evidence of economic contributions that CHWs make to a public safety net system and inform policy making regarding program sustainability.