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).

Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis: Implications for Clinical Practice.

BACKGROUND: Patients with repeated hospitalizations represent a group with potentially avoidable utilization. Recent publications have begun to highlight the heterogeneity of this group. Latent class analysis provides a novel methodological approach to utilizing administrative data to identify clinically meaningful subgroups of patients to inform tailored intervention efforts. OBJECTIVE: The objective of the study was to identify clinically distinct subgroups of adult superutilizers. RESEARCH DESIGN: Retrospective cohort analysis. SUBJECTS: Adult patients who had an admission at an urban safety-net hospital in 2014 and 2 or more admissions within the preceding 12 months. MEASURES: Patient-level medical, mental health (MH) and substance use diagnoses, social characteristics, demographics, utilization and charges were obtained from administrative data. Latent class analyses were used to determine the number and characteristics of latent subgroups that best represented these data. RESULTS: In this cohort (N=1515), a 5-class model was preferred based on model fit indices, clinical interpretability and class size: class 1 (16%) characterized by alcohol use disorder and homelessness; class 2 (14%) characterized by medical conditions, MH/substance use disorders and homelessness; class 3 (25%) characterized primarily by medical conditions; class 4 (13%) characterized by more serious MH disorders, drug use disorder and homelessness; and class 5 (32%) characterized by medical conditions with some MH and substance use. Patient demographics, utilization, charges and mortality also varied by class. CONCLUSIONS: The overall cohort had high rates of multiple chronic medical conditions, MH, substance use disorders, and homelessness. However, the patterns of these conditions were different between subgroups, providing important information for tailoring interventions.

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.

For many patients who use large amounts of health care services, the need is intense yet temporary.

Patients who accumulate multiple emergency department visits and hospital admissions, known as super-utilizers, have become the focus of policy initiatives aimed at preventing such costly use of the health care system through less expensive community- and primary care-based interventions. We conducted cross-sectional and longitudinal analyses of 4,774 publicly insured or uninsured super-utilizers in an urban safety-net integrated delivery system for the period May 1, 2011-April 30, 2013. Our analysis found that consistently 3 percent of adult patients met super-utilizer criteria and accounted for 30 percent of adult charges. Fewer than half of super-utilizers identified as such on May 1, 2011, remained in the category seven months later, and only 28 percent remained at the end of a year. This finding has important implications for program design and for policy makers because previous studies may have obscured this instability at the individual level. Our study also identified clinically relevant subgroups amenable to different interventions, along with their per capita utilization and costs before and after being identified as super-utilizers. Future solutions include improving predictive modeling to identify individuals likely to experience sustained levels of avoidable utilization, better classifying subgroups for whom interventions are needed, and implementing stronger program evaluation designs.

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.

Access and care issues in urban urgent care clinic patients.

BACKGROUND: Although primary care should be the cornerstone of medical practice, inappropriate use of urgent care for non-urgent patients is a growing problem that has significant economic and healthcare consequences. The characteristics of patients who choose the urgent care setting, as well as the reasoning behind their decisions, is not well established. The purpose of this study was to determine the motivation behind, and characteristics of, adult patients who choose to access health care in our urgent care clinic. The relevance of understanding the motivation driving this patient population is especially pertinent given recent trends towards universal healthcare and the unclear impact it may have on the demands of urgent care. METHODS: We conducted a cross-sectional survey of patients seeking care at an urgent care clinic (UCC) within a large acute care safety-net urban hospital over a six-week period. Survey data included demographics, social and economic information, reasons that patients chose a UCC, previous primary care exposure, reasons for delaying care, and preventive care needs. RESULTS: A total of 1, 006 patients were randomly surveyed. Twenty-five percent of patients identified Spanish as their preferred language. Fifty-four percent of patients reported choosing the UCC due to not having to make an appointment, 51.2% because it was convenient, 43.9% because of same day test results, 42.7% because of ability to get same-day medications and 15.1% because co-payment was not mandatory. Lack of a regular physician was reported by 67.9% of patients and 57.2% lacked a regular source of care. Patients reported delaying access to care for a variety of reasons. CONCLUSION: Despite a common belief that patients seek care in the urgent care setting primarily for economic reasons, this study suggests that patients choose the urgent care setting based largely on convenience and more timely care. This information is especially applicable to the potential increase in urgent care volume in a universal healthcare system. Additionally, this study adds to the body of literature supporting the important role of timely primary care in healthcare maintenance.

Impact of prescription size on statin adherence and cholesterol levels.

BACKGROUND: Therapy with 3-Hydroxy-3-methylglutaryl Co-enzyme A reductase inhibitors (statins) improve outcomes in a broad spectrum of patients with hyperlipidemia. However, effective therapy requires ongoing medication adherence; restrictive pharmacy policies may represent a barrier to successful adherence, particularly among vulnerable patients. In this study we sought to assess the relationship between the quantity of statin dispensed by the pharmacy with patient adherence and total cholesterol. METHODS: We analyzed a cohort of 3,386 patients receiving more than one fill of statin medications through an integrated, inner-city health care system between January 1, 2000 and December 31, 2002. Our measure of adherence was days of drug acquisition divided by days in the study for each patient, with adequate adherence defined as > or = 80%. Log-binomial regression was used to determine the relative risk of various factors, including prescription size, on adherence. We also assessed the relationship between adherence and total cholesterol using multiple linear regression. RESULTS: After controlling for age, gender, race, co-payment, comorbidities, and insurance status, patients who obtained a majority of fills as 60-day supply compared with 30-day supply were more likely to be adherent to their statin medications (RR 1.41, 95% CI 1.28-1.55, P < 0.01). We found that statin non-adherence less than 80% was predictive of higher total serum cholesterol by 17.23 +/- 1.64 mg/dL (0.45 +/- 0.04 mmol/L). CONCLUSION: In a healthcare system serving predominantly indigent patients, the provision of a greater quantity of statin medication at each prescription fill contributes to improved adherence and greater drug effectiveness.

Papanicolaou screening in an urgent care setting.

OBJECTIVE: This study was undertaken to determine the efficacy of Papanicolaou (Pap) screening in an urgent care setting, and to compare the rates of cervical intraepithelial neoplasia (CIN), and follow-up in patients with and without established primary care. STUDY DESIGN: All patients presenting with a complaint warranting pelvic examination between December 2000 and September 2001 underwent Pap screening. All patients were scheduled an appointment or follow-up visit when an abnormal Pap test was found. Charts were reviewed for cytologic interpretation, age, chief complaint, ethnicity, history of prior Pap smear in the institution, total visit history (includes urgent care and primary care clinics). SAS 8.1 was used for statistical analysis with the use of the Fisher exact test. RESULTS: A total of 673 Pap smears were performed. Of those, 660 were analyzed and 13 were discarded because of inadequate slides. The mean age was 29.6 years; the ethnic distribution was 0.2% Native American, 1.2% Asian, 17% black, 62.4% Hispanic, 18.2% white, and 1.1% other. In the study population, only 40.6% of the patients had a prior Pap screen and 59.4% had not. There were 318 (48.2%) patients who had accessed care only through the urgent care clinic, and 342 (51.8%) patients who had established some kind of primary care in the past. The overall follow-up rate was 56% for any abnormal Pap smear, regardless of visit history. CONCLUSION: Patients accessing medical care through an urgent care clinic exclusively had identical rates of CIN and follow-up when compared with patients with established care. Therefore, when a system exists to centrally process and triage cervical cytology, it is efficacious to screen for CIN in an urgent care setting.

Sudden Infant Death Syndrome and prenatal maternal smoking: rising attributed risk in the Back to Sleep era.

BACKGROUND: Parental smoking and prone sleep positioning are recognized causal features of Sudden Infant Death. This study quantifies the relationship between prenatal smoking and infant death over the time period of the Back to Sleep campaign in the United States, which encouraged parents to use a supine sleeping position for infants. METHODS: This retrospective cohort study utilized the Colorado Birth Registry. All singleton, normal birth weight infants born from 1989 to 1998 were identified and linked to the Colorado Infant Death registry. Multivariable logistic regression was used to analyze the relationship between outcomes of interest and prenatal maternal cigarette use. Potential confounders analyzed included infant gender, gestational age, and birth year as well as maternal marital status, ethnicity, pregnancy interval, age, education, and alcohol use. RESULTS: We analyzed 488,918 birth records after excluding 5835 records with missing smoking status. Smokers were more likely to be single, non-Hispanic, less educated, and to report alcohol use while pregnant (p < 0.001). The study included 598 SIDS cases of which 172 occurred in smoke-exposed infants. Smoke exposed infants were 1.9 times (95% CI 1.6 to 2.3) more likely to die of SIDS. The attributed risk associating smoking and SIDS increased during the study period from approximately 50% to 80%. During the entire study period 59% (101/172) of SIDS deaths in smoke-exposed infants were attributed to maternal smoking. CONCLUSIONS: Due to a decreased overall rate of SIDS likely due to changing infant sleep position, the attributed risk associating maternal smoking and SIDS has increased following the Back to Sleep campaign. Mothers should be informed of the 2-fold increased rate of SIDS associated with maternal cigarette consumption.

Off-site percutaneous coronary intervention reduces hospital length of stay in vulnerable patients with acute myocardial infarction.

Primary percutaneious coronary intervention (PCI) is rapidly becoming the preferred therapy for acute ST-segment elevation myocardial infarction (AMI) because of a lower mortality rate and decreased hospital length of stay (LOS) compared with thrombolysis. However, generalizability of these findings beyond randomized trials involving specialized centers has not been well described. Many urban county hospitals care for disadvantaged patients and lack on-site PCI capabilities. Moreover, treatment delays and worse clinical outcomes have been demonstrated in this population. We sought to determine whether a shift from uniform on-site thrombolysis to off-site PCI for disadvantaged AMI patients reduces hospital LOS. We retrospectively reviewed 91 AMI patients presenting to an inner-city hospital without PCI capabilities, comparing 47 consecutive patients treated with off-site PCI with 44 historical controls who received thrombolysis. The primary end point was hospital LOS. Multivariable regression was used to adjust for baseline differences between the groups. Unadjusted median LOS was lower in the PCI group than the thrombolytic group (4 versus 6 days, P = 0.004). These differences remained after adjusting for variation in baseline sociodemographic and clinical characteristics including the presence of cardiogenic shock. Fifteen patients (34%) in the thrombolytic group required urgent catheterization during index hospitalization versus none in the PCI group (P < 0.001). No differences in death or nonfatal reinfarction were noted 6 months after index event. This study supports the usefulness of primary PCI beyond highly selected populations in randomized controlled trials. Specifically, PCI significantly decreases hospital LOS among vulnerable AMI patients.

Conventional and molecular epidemiology of trimethoprim-sulfamethoxazole resistance among urinary Escherichia coli isolates.

BACKGROUND: Antibiotic resistance is increasing in Escherichia coli, the most common cause of urinary tract infections, but its epidemiology has not been well described. We evaluated the epidemiology of trimethoprim-sulfamethoxazole-resistant E. coli in a large, public health care system in Denver, Colorado. METHODS: Outpatients with E. coli urinary tract infections during the first 6 months of 1998 were evaluated retrospectively. A prospective study was then performed to confirm the rate of trimethoprim-sulfamethoxazole resistance. We used several strain-typing methods (pulsed-field gel electrophoresis, ribotyping, serotyping) to evaluate the molecular epidemiology of the resistance. RESULTS: The rate of trimethoprim-sulfamethoxazole resistance was similar in the retrospective (24% [161/681]) and prospective (23% [30/130]) phases of the study (P = 0.89). Almost all trimethoprim-sulfamethoxazole-resistant strains (98%) were resistant to at least one other antibiotic. Risk factors for infection with a resistant strain included age < or =3 years, Hispanic ethnicity, recent travel outside the United States, and a prior urinary tract infection. However, rates of resistance were >15% among nearly all of the subgroups. Most strains had high-level resistance (>1000 microg/mL) to trimethoprim-sulfamethoxazole. Of the 23 resistant isolates evaluated, 10 (43%) belonged to the clone A group. There was no correlation between conventional epidemiologic characteristics and the molecular mechanism of resistance or strain type. CONCLUSION: Resistance to trimethoprim-sulfamethoxazole among E. coli isolates among patients in a Denver public health care system is common, with high rates of resistance even among patients without risk factors.

Optimizing antibiotic prescribing for acute respiratory tract infections in an urban urgent care clinic.

OBJECTIVE: To decrease unnecessary antibiotic use for acute respiratory tract infections in adults in a point-of-service health care setting. DESIGN: Prospective, nonrandomized controlled trial. SETTING: An urban urgent care clinic associated with the major indigent care hospital in Denver, Colorado between October 2000 and April 2001. PATIENTS/PARTICIPANTS: Adults diagnosed with acute respiratory tract infections (bronchitis, sinusitis, pharyngitis, and nonspecific upper respiratory infection). A total of 554 adults were included in the baseline period (October to December 2000) and 964 adults were included in the study period (January to April 2001). INTERVENTIONS: A provider educational session on recommendations for appropriate antibiotic use recently published by the Centers for Disease Control and Prevention, and placement of examination room posters were performed during the last week of December 2000. Study period patients who completed a brief, interactive computerized education (ICE) module were classified as being exposed to the full intervention, whereas study period patients who did not complete the ICE module were classified as being exposed to the limited intervention. MEASUREMENTS AND MAIN RESULTS: The proportion of patients diagnosed with acute bronchitis who received antibiotics decreased from 58% during the baseline period to 30% and 24% among patients exposed to the limited and full intervention, respectively (P <.001 for intervention groups vs baseline). Antibiotic prescriptions for nonspecific upper respiratory tract infections decreased from 14% to 3% and 1% in the limited- and full-intervention groups, respectively (P <.001 for intervention groups vs baseline). CONCLUSION: Antibiotic use for adults diagnosed with acute respiratory tract infections can be reduced in a point-of-service health care setting using a combination of patient and provider educational interventions.

Effect of Spanish interpretation method on patient satisfaction in an urban walk-in clinic.

OBJECTIVE: To examine the effect of Spanish interpretation method on satisfaction with care. DESIGN: Self-administered post-visit questionnaire. SETTING: Urban, university-affiliated walk-in clinic. PARTICIPANTS: Adult, English- and Spanish-speaking patients presenting for acute care of non-emergent medical problems. MEASUREMENTS AND MAIN RESULTS: Satisfaction with overall clinic visit and with 7 provider characteristics was evaluated by multiple logistic regression, controlling for age, gender, ethnicity, education, insurance status, having a routine source of medical care, and baseline health. "Language-concordant" patients, defined as Spanish-speaking patients seen by Spanish-speaking providers and English-speaking patients, and patients using AT&T telephone interpreters reported identical overall visit satisfaction (77%; P = .57), while those using family or ad hoc interpreters were significantly less satisfied (54% and 49%; P < .01 and P = .007, respectively). AT&T interpreter use and language concordance also yielded similar satisfaction rates for provider characteristics (P > .2 for all values). Compared to language-concordant patients, patients who had family members interpret were less satisfied with provider listening (62% vs 85%; P = .003), discussion of sensitive issues (60% vs 76%; P = .02), and manner (62% vs 89%; P = .005). Patients who used ad hoc interpreters were less satisfied with provider skills (60% vs 83%; P = .02), manner (71% vs 89%; P = .02), listening (54% vs 85%; P = .002), explanations (57% vs 84%; P = .02), answers (57% vs 84%; P = .05), and support (63% vs 84%; P = .02). CONCLUSIONS: Spanish-speaking patients using AT&T telephone interpretation are as satisfied with care as those seeing language-concordant providers, while patients using family or ad hoc interpreters are less satisfied. Clinics serving a large population of Spanish-speaking patients can enhance patient satisfaction by avoiding the use of untrained interpreters, such as family or ad hoc interpreters.