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ABSTRACT: OBJECTIVE:: To estimate the effect of preventing postoperative complications on readmission rates and costs. BACKGROUND:: Policymakers are targeting readmission for quality improvement and cost savings. Little is known regarding mutable factors associated with postoperative readmissions. METHODS:: Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Risk factors, procedure, and 30-day postoperative complications were determined from ACS-NSQIP. The 30-day postoperative readmission and costs were determined from Medicare. Occurrence of a postoperative complication included surgical site infections and cardiac, pulmonary, neurologic, and renal complications. Multivariate regression models predicted the effect of reducing complication rates on risk-adjusted readmission rates and costs by procedure. RESULTS:: The 30-day postoperative readmission rate was 12.8%. Complication rates for readmitted and nonreadmitted patients were 53% and 16% (P < 0.001). Patients with a postoperative complication had higher predicted probability of readmission and cost of readmission than patients without a complication. For the 20 procedures accounting for the greatest number of readmissions, reducing ACS-NSQIP complication rates by a relative 5% could result in prevention of 2092 readmissions per year and a savings to Medicare of $31.0 million per year. Preventing all ACS-NSQIP complications for these procedures could result in prevention of 41,846 readmissions per year and a savings of $620.3 million per year. CONCLUSIONS:: This study provides substantial evidence that efforts to reduce postoperative readmissions should begin by focusing on postoperative complications that can be reliably and validly measured. Such an approach will not eliminate all postoperative readmissions but will likely have a major effect on readmission rates.
Annals of surgery 04/2013; · 7.90 Impact Factor
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ABSTRACT: BACKGROUND:: Despite the rollout of Medicare Part D, cost-related nonadherence (CRN) among older adults remains a problem. OBJECTIVES:: To examine the rate and correlates of self-reported CRN among a population of older persons with diabetes. RESEARCH DESIGN:: Cross-sectional. SUBJECTS:: A total of 1264 Part D patients with diabetes, who entered the coverage gap in 2006. MEASURES:: Initial administrative medication lists were verified in computer-assisted telephone interviews, in which participants brought their medication bottles to the phone. Medications were classified into cardiometabolic (diabetes, hypertension, cholesterol-lowering), symptom relief, and "other." Participants were asked if they had any CRN during 2006, and if so to which medication/s. We used the person-medication dyad as the unit of analysis, and tested a multivariate random effects logistic regression model to analyze the correlates of CRN. RESULTS:: Approximately 16% of participants reported CRN. CRN was more frequent for cholesterol-lowering medications (relative risk, 1.54; 95% confidence interval, 1.01-2.32) compared with medications taken for symptom relief. CRN was reported less frequently with increasing age above 75 years, compared with patients between 65 and 69. In addition, compared with those with incomes of ≥$40,000, CRN risk for those with incomes of <$25,000 was markedly higher (relative risk, 3.05; 95% confidence interval, 1.99-4.65). CONCLUSIONS:: In summary, we found high rates of CRN among Medicare beneficiaries with diabetes, particularly those with lower incomes. We observed more frequent CRN for cholesterol-lowering medications as compared with medications for symptom relief. Efforts to ensure medication affordability for this population will be important in boosting adherence to key medications.
Medical care 09/2012; · 3.24 Impact Factor
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ABSTRACT: To evaluate the effect of the Medicare benzodiazepine coverage exclusion on psychotropic use of benzodiazepine users.
Pre-post design with concurrent control group.
General community.
Intervention and comparison cohorts of individuals drawn from the same insurer who were prescribed benzodiazepines through the end of 2005. Intervention participants (n = 19,339) were elderly adults from a large, national Medicare Advantage plan subject to benzodiazepine exclusion as a result of the Medicare Modernization Act (MMA). Comparison participants (n = 3,488) were near-elderly individuals enrolled in a managed care plan not subject to the MMA benzodiazepine exclusion.
Any psychotropic drug use and expenditures.
In the intervention cohort, benzodiazepine use and expenditures significantly declined from 100% and $134 in 2005 to 74.8% and $59, respectively, in 2007. Nonbenzodiazepine psychotropic drug use and expenditures significantly increased from 35.8% and $163 in 2005 to 39.5% and $207, respectively, in 2007. In the comparison cohort, benzodiazepine use and expenditures also significantly declined from 100% and $173 in 2005 to 57.5% and $105, respectively, in 2007, but nonbenzodiazepine psychotropic drug use and expenditures significantly declined from 55.4% and $647 in 2005 to 45.1% and $572, respectively, in 2007. Changes in antidepressant and anxiolytic use were the primary cause of changes in nonbenzodiazepine psychotropic drugs in both cohorts.
Use of benzodiazepines continued in elderly adults despite negative financial incentives, possibly because of the low costs of such medications. Although some substitution occurred with antidepressants and anxiolytics, the magnitude of this increase did not fully offset the reduction in benzodiazepine use.
Journal of the American Geriatrics Society 06/2012; 60(7):1292-7. · 3.74 Impact Factor
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ABSTRACT: The Medicare Modernization Act (MMA) specifically excluded benzodiazepines from Medicare Part D coverage starting in 2006; however, benzodiazepines are an effective, low-cost treatment for anxiety. This study evaluated the effect of the Medicare Part D benzodiazepine coverage exclusion among patients with new anxiety disorders.
The authors used a quasi-experimental cohort design to study patients with new anxiety diagnoses from a large national health plan during the first six months of 2005, 2006, and 2007. Logistic and zero-truncated negative-binomial regression models using covered claims for behavioral, medical, and pharmaceutical care linked with eligibility files were used to estimate utilization and costs of psychotropic medication and health care utilization among elderly Medicare Advantage enrollees (N=8,397) subject to the MMA benzodiazepine exclusion and a comparison group of near-elderly (ages 60–64) enrollees (N=1,657) of a managed care plan.
Medicare Advantage enrollees diagnosed in 2005 had significantly (p<.05) higher rates of covered claims for benzodiazepines and all psychotropic drugs, lower rates of covered claims for nonbenzodiazepines, and lower expenditures for psychotropic drugs than enrollees diagnosed in 2006 and 2007. There were no significant differences over time in utilization or expenditures related to psychotropic medication among the comparison group. There also were no significant changes over time in outpatient visits for behavioral care by either cohort.
Among elderly patients with new anxiety diagnoses, the MMA benzodiazepine exclusion increased use of nonbenzodiazepine psychotropic drugs without substitution of increased behavioral care. Overall, the exclusion was associated with a modest increase in covered claims for psychotropic medication.
Psychiatric services (Washington, D.C.) 05/2012; 63(7):637-42. · 2.81 Impact Factor
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ABSTRACT: Hospital use near the end of life is often undesirable to patients, represents considerable Medicare cost, and varies widely across regions.
To concurrently examine regional and patient factors, including disability and functional decline, associated with end-of-life hospital use.
We sampled decedents aged 65 and older (n = 2,493) from the Health and Retirement Study (2000-2006), and linked data from individual Medicare claims and the Dartmouth Atlas of Health Care. Two-part regression models estimated the relationship between total hospital days in the last 6 months and patient characteristics including physical function, while adjusting for regional resources and hospital care intensity (HCI).
Median hospital days was 7 (range = 0-183). 53% of respondents had functional decline. Compared with decedents without functional decline, those with severe disability or decline had more regression-adjusted hospital days (range 3.47-9.05, depending on category). Dementia was associated with fewer days (-3.02); while chronic kidney disease (2.37), diabetes (2.40), stroke or transient ischemic attack (2.11), and congestive heart failure (1.74) were associated with more days. African Americans and Hispanics had more days (5.91 and 4.61, respectively). Those with family nearby had 1.62 fewer days and hospice enrollees had 1.88 fewer days. Additional hospital days were associated with urban residence (1.74) and residence in a region with more specialists (1.97) and higher HCI (2.27).
Functional decline is significantly associated with end-of-life hospital use among older adults. To improve care and reduce costs, health care programs and policies should address specific needs of patients with functional decline and disability.
Journal of General Internal Medicine 03/2012; 27(7):794-800. · 2.83 Impact Factor
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ABSTRACT: Diabetic patients are nearly three times as likely to have depression as their nondiabetic counterparts. Patients with diabetes are already at risk for poor cardiovascular health. Using cross-sectional data from the translating research into action for diabetes (TRIAD) study, the authors tested the association of depression with cardiovascular risk factors in diabetic patients. Depression was measured using the patient health questionnaire (PHQ8). Patients who scored greater than 9 on the PHQ8 were classified as depressed and were compared with those who were not depressed (n = 2,341). Depressed patients did not have significantly different blood pressure levels than those who were not depressed. However, those who were depressed had higher HbA1c levels than those who were not depressed (P < 0.01) and higher BMIs than those who were not depressed (P < 0.01). These results indicate that depressed diabetic patients are at greater risk of having poor control of cardiovascular risk factors and suggest that depression screening should be a standard practice among this patient group.
International Journal of Endocrinology 01/2012; 2012:747460. · 1.87 Impact Factor
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ABSTRACT: To investigate patient-level determinants of in-hospital death, adjusting for patient and regional characteristics.
Using multivariable regression, the relationship between in-hospital death and participants' social, functional, and health characteristics was investigated, controlling for regional Hospital Care Intensity Index (HCI) from the Dartmouth Atlas of Health Care.
The Health and Retirement Study, a longitudinal nationally representative cohort of older adults.
People aged 67 and older who died between 2,000 and 2,006 (N = 3,539) were sampled.
In-hospital death.
Thirty-nine percent (n = 1,380) of participants died in the hospital (range 34% in Midwest to 45% in Northeast). Nursing home residence, functional dependence, and cancer or dementia diagnosis, among other characteristics, were associated with lower adjusted odds of in-hospital death. Being black or Hispanic, living alone, and having more medical comorbidities were associated with greater adjusted odds, as was higher HCI. Sex, education, net worth, and completion of an advance directive did not correlate with in-hospital death.
Black race, Hispanic ethnicity, and other functional and social characteristics are correlates of in-hospital death, even after controlling for the role of HCI. Further work must be done to determine whether preferences, provider characteristics and practice patterns, or differential access to medical and community services drive this difference.
Journal of the American Geriatrics Society 11/2011; 59(12):2321-5. · 3.74 Impact Factor
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ABSTRACT: Although Medicare Part D improved drug benefits for many beneficiaries, its impact on the coverage of Medicare Advantage Part D (MAPD) enrollees depended on their pre-existing benefits and whether they had gap coverage under Part D.
To examine changes in prescription drug utilization and expenditures associated with drug benefit changes resulting from the implementation of Part D.
We studied 248,773 continuously enrolled MAPD patients in eight states. Patients whose insurance product or Census block could not be identified or who had atypical benefits, low-income subsidies or Medicaid coverage were excluded.
The main outcomes were changes in prescription drug days supply and expenditures from 2005 to 2006 and 2005 to 2007.
We linked Census data with 2005-7 MAPD claims, encounter, enrollment, and benefits data and estimated associations of the outcomes with changes in drug benefits, controlling for 2005 comorbidities, demographics, and Census population characteristics.
MAPD enrollees whose drug benefits became potentially less generous after Part D had the smallest increases in drug utilization and expenditures (e.g., drug expenditures increased by $130 between 2005 and 2006), while those who potentially gained the most from Part D experienced the largest increases ($302). The differences in benefit design changes had a stronger association with drug utilization and outcomes among patients at high risk of gap entry than among the entire sample.
Although Medicare Part D unambiguously improved drug coverage for many elderly, it led to heterogeneous changes in drug benefits among MAPD enrollees, who already had generic and sometimes branded drug benefits. After 2006, benefits were worse for individuals who had branded drug coverage in 2005 but now had a coverage gap, but benefits may have improved for individuals who acquired branded drug coverage. Commensurate with these differential changes in benefits following Part D, changes in drug utilization and expenditures varied substantially as well.
Journal of General Internal Medicine 06/2011; 26(10):1195-200. · 2.83 Impact Factor
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ABSTRACT: Few studies examine the link between measured process of care and outcome.
To evaluate the relationship of claims-based assessment of process of care to subsequent function and survival.
Retrospective cohort study using claims from 1999 to assess performance on 41 quality indicators (QIs) from the Assessing Care of Vulnerable Elders (ACOVE) measurement set on functional decline and death in 2000.
Community-dwelling individuals.
All persons ≥75 years enrolled in Medicare and Medicaid in 19 California counties in 1998 and 1999 who received In Home Supportive Services.
Quality of care index, activities of daily living, and instrumental activities of daily living (IADL) need indices, mortality.
Total 21,310 persons were eligible for a mean of 7.1 QIs; and received 46% of recommended care. The ADL index increased from 8.1 to 11.6 between baseline and follow-up. The IADL index increased from 13.6 to 14.1. Fifteen percent of the cohort died in 2000. After accounting for number of QIs triggered, baseline function and other covariates, better quality was associated with better function at follow-up. Ten percent better quality was associated at follow-up with 0.21 lower ADL need score [95% confidence interval (CI), 0.25-0.17], 0.022 lower IADL need score (95% CI, 0.032-0.013), and lower odds of death (0.91; 95% CI, 0.89 to 0.93).
Routinely collected data implementing ACOVE measures for community vulnerable elders generate quality scores that are directly related to patient functional and survival outcomes. These findings suggest that population-based assessment of care is feasible for vulnerable older persons.
Medical care 06/2011; 49(6):553-9. · 3.24 Impact Factor
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ABSTRACT: To design a bundled case rate for Collaborative Care for Depression (CCD) that aligns incentives with evidence-based depression care in primary care.
A clinical information system used by all care managers in a randomized controlled trial of CCD for older primary care patients.
We conducted an empirical investigation of factors accounting for variation in CCD resource use over time and across patients. CCD resource use at the patient-episode and patient-month levels was measured by number of care manager contacts and direct patient contact time and analyzed with count data (Poisson or negative binomial) models.
Episode-level resource use varies substantially with patient's time in the program. Monthly use declines sharply in the first 6 months regardless of treatment response or remission status, but it remains stable afterwards. An adjusted episode or monthly case rate design better matches payment with variation in resource use compared with a fixed design.
Our findings lend support to an episode payment adjusted by number of months receiving CCD and a monthly payment adjusted by the ordinal month. Nonpayment tools including program certification and performance evaluation and reward systems are needed to fully align incentives.
Health Services Research 05/2011; 46(5):1436-51. · 2.16 Impact Factor
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ABSTRACT: To determine whether competing demands for time affect diabetes self-care behaviors, processes of care, and intermediate outcomes.
We used survey and medical record data from 5,478 participants in Translating Research Into Action for Diabetes (TRIAD) and hierarchical regression models to examine the cross-sectional associations between competing demands for time and diabetes outcomes, including self-management, processes of care, and intermediate health outcomes.
Fifty-two percent of participants reported no competing demands, 7% reported caregiving responsibilities only, 36% reported employment responsibilities only, and 6% reported both caregiving and employment responsibilities. For both women and men, employment responsibilities (with or without caregiving responsibilities) were associated with lower rates of diabetes self-care behaviors, worse processes of care, and, in men, worse HbA(1c).
Accommodations for competing demands for time may promote self-management and improve the processes and outcomes of care for employed adults with diabetes.
Diabetes care 04/2011; 34(5):1180-2. · 8.09 Impact Factor
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ABSTRACT: When a patient is expected to die, the ideal plan of care focuses on comfort. Prior investigation of application of one institution's end-of-life symptom management order (ESMO) protocol suggested that comfort measures were often instituted too late and sometimes not at all. We studied patient factors associated with missed opportunities for use of an ESMO protocol and protocol adherence in order to identify areas for quality improvement.
We abstracted the terminal hospitalization medical record for all adult decedents hospitalized for at least 3 days between April 2005 and April 2006 (n = 496) at a university medical center. Detailed information was collected about ESMO use and opiate titration at the end of life. Among patients expected to die, we used multivariate logistic regression to evaluate factors associated with whether patients were placed on the ESMO protocol prior to death.
Half of patients who died received ESMO protocol care (n = 248). All had documentation of a do-not-resuscitate (DNR) order (a requirement of the protocol). An opiate drip was used for 95% of patients placed on the ESMO protocol and it was titrated up at least once for 67% of those patients. Patients had a mean of 4 opiate titrations, but for only a mean of 2.2 was a justification documented (symptom documentation is required for each titration per the protocol). In a multivariable regression accounting for other demographic, clinical and provider variables, uninsured patients (risk ratio [RR] 0.25, 95% confidence interval [CI] 0.06-0.62), patients admitted from a nursing home (RR 0.57, 95% CI 0.30-0.99), and patients considered for transplant (RR 0.60, 95% CI 0.40-0.85) were significantly less likely to be placed on the ESMO protocol prior to death.
Evaluation of implementation of a standardized order set can identify areas for quality improvement and missed opportunities for use.
Journal of palliative medicine 03/2011; 14(4):407-12. · 1.84 Impact Factor
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Eric M Cheng,
William E Cunningham,
Amytis Towfighi,
Nerses Sanossian,
Robert J Bryg,
Thomas L Anderson,
Jeffrey J Guterman,
Sandra G Gross-Schulman,
Sylvia Beanes,
Andrea S Jones,
Honghu Liu, Susan L Ettner,
Jeffrey L Saver,
Barbara G Vickrey
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ABSTRACT: Stroke is the leading cause of adult disability. Inpatient programs optimize secondary stroke prevention care at the time of hospital discharge, but such care may not be continued after hospital discharge.
To improve the delivery of secondary stroke preventive services after hospital discharge, we have designed a chronic care model-based program called SUSTAIN (Systemic Use of STroke Averting INterventions). This care intervention includes group clinics, self-management support, report cards, decision support through care guides and protocols, and coordination of ongoing care. The first specific aim is to test, in a randomized, controlled trial, whether SUSTAIN improves blood pressure control among an analytic sample of 268 patients with a recent stroke or transient ischemic attack discharged from 4 Los Angeles County public hospitals. Secondary outcomes consist of control of other stroke risk factors, lifestyle habits, medication adherence, patient perceptions of care quality, functional status, and quality of life. A second specific aim is to conduct a cost analysis of SUSTAIN from the perspective of the Los Angeles County Department of Health Services by using direct costs of the intervention, cost equivalents of associated utilization of county system resources, and cost equivalents of the observed and predicted averted vascular events.
If SUSTAIN is effective, we will have the expertise and findings to advocate for its continued support at Los Angeles County hospitals and to disseminate the SUSTAIN program to other settings serving indigent, minority populations. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00861081.
Circulation Cardiovascular Quality and Outcomes 03/2011; 4(2):229-34. · 4.91 Impact Factor
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ABSTRACT: End-of-life medical expenditures exceed costs of care during other years, vary across regions, and are likely to be unsustainable. Identifying determinants of expenditure variation may reveal opportunities for reducing costs.
To identify patient-level determinants of Medicare expenditures at the end of life and to determine the contributions of these factors to expenditure variation while accounting for regional characteristics. It was hypothesized that race or ethnicity, social support, and functional status are independently associated with treatment intensity and controlling for regional characteristics, and that individual characteristics account for a substantial proportion of expenditure variation.
Using data from the Health and Retirement Study, Medicare claims, and The Dartmouth Atlas of Health Care, relationships were modeled between expenditures and patient and regional characteristics.
United States, 2000 to 2006.
2394 Health and Retirement Study decedents aged 65.5 years or older.
Medicare expenditures in the last 6 months of life were estimated in a series of 2-level multivariable regression models that included patient, regional, and patient and regional characteristics.
Decline in function (rate ratio [RR], 1.64 [95% CI, 1.46 to 1.83]); Hispanic ethnicity (RR, 1.50 [CI, 1.22 to 1.85]); black race (RR, 1.43 [CI, 1.25 to 1.64]); and certain chronic diseases, including diabetes (RR, 1.16 [CI, 1.06 to 1.27]), were associated with higher expenditures. Nearby family (RR, 0.90 [CI, 0.82 to 0.98]) and dementia (RR, 0.78 CI, 0.71 to 0.87]) were associated with lower expenditures, and advance care planning had no association. Regional characteristics, including end-of-life practice patterns (RR, 1.09 [CI, 1.06 to 1.14]) and hospital beds per capita (RR, 1.01 [CI, 1.00 to 1.02]), were associated with higher expenditures. Patient characteristics explained 10% of overall variance and retained statistically significant relationships with expenditures after regional characteristics were controlled for.
The study limitations include the decedent sample, proxy informants, and a large proportion of unexplained variation.
Patient characteristics, such as functional decline, race or ethnicity, chronic disease, and nearby family, are important determinants of expenditures at the end of life, independent of regional characteristics.
The Brookdale Foundation.
Annals of internal medicine 02/2011; 154(4):235-42. · 16.73 Impact Factor
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ABSTRACT: Despite recent interest in how psychiatric disorders affect work outcomes, little is known about the role of personality disorders (PDs), which are poorly understood yet prevalent (15%) and impairing. We used nationally representative data for 12,457 men and 16,061 women to examine associations of PDs with any employment, full-time employment, chronic unemployment, being fired or laid off, and having trouble with a boss or co-worker. Antisocial, paranoid, and obsessive-compulsive PDs demonstrated the broadest patterns of associations with adverse outcomes. Findings suggest that PDs may have implications for the productivity of co-workers as well as that of the disordered employees themselves.
Industrial Relations A Journal of Economy and Society 01/2011; 50(1):149-173. · 1.48 Impact Factor
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ABSTRACT: This study described the association of general medical and psychiatric comorbidities with receipt of guideline-concordant depression care.
Pharmacy, medical, and behavioral claims and enrollment data from OptumHealth in 2003-2006 were linked for 1,835 adults with a new depression diagnosis or a new antidepressant fill. Multiple logistic regression was used to estimate the association of comorbidities with receipt of guideline-concordant pharmacotherapy, guideline-concordant psychotherapy, and any guideline-concordant therapy.
Eleven percent of patients received guideline-concordant psychotherapy; 23%, guideline-concordant pharmacotherapy; and 33%, any guideline-concordant therapy. Having a psychiatric but no medical comorbidity was associated with higher rates of guideline-concordant psychotherapy and overall guideline concordance; conversely, having a general medical but no psychiatric comorbidity was associated with lower rates of guideline-concordant psychotherapy. Comorbidities were associated with the probability of receiving any guideline-concordant therapy, but they were not associated with improved guideline concordance among patients already receiving therapy.
Patients with general medical comorbidities may not receive psychotherapy referrals, perhaps because of well-established relationships with their primary care providers.
Psychiatric services (Washington, D.C.) 12/2010; 61(12):1255-9. · 2.81 Impact Factor
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Beth Waitzfelder,
Robert B Gerzoff,
Andrew J Karter,
Stephen Crystal,
Mathew J Bair, Susan L Ettner,
Arleen F Brown,
Usha Subramanian,
Shou-En Lu,
David Marrero,
William H Herman,
Joseph V Selby,
R Adams Dudley
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ABSTRACT: The broad objective of this study was to examine multiple dimensions of depression in a large, diverse population of adults with diabetes. Specific aims were to measure the association of depression with: (1) patient characteristics; (2) outcomes; and (3) diabetes-related quality of care.
Cross-sectional analyses were performed using survey and chart data from the Translating Research Into Action for Diabetes (TRIAD) study, including 8790 adults with diabetes, enrolled in 10 managed care health plans in 7 states. Depression was measured using the Patient Health Questionnaire (PHQ-8). Patient characteristics, outcomes and quality of care were measured using validated survey items and chart data.
Nearly 18% of patients had major depression, with prevalence 2-3 times higher among patients with low socioeconomic status. Pain and limited mobility were strongly associated with depression, controlling for other patient characteristics. Depression was associated with slightly worse glycemic control, but not other intermediate clinical outcomes. Depressed patients received slightly fewer recommended diabetes-related processes of care.
In a large, diverse cohort of patients with diabetes, depression was most prevalent among patients with low socioeconomic status and those with pain, and was associated with slightly worse glycemic control and quality of care.
Primary care diabetes. 12/2010; 4(4):215-22.
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ABSTRACT: To identify predictors of alcohol-related patient-physician discussions.
Cross-sectional study using baseline data from a randomized controlled trial.
Community-based group practice.
Thirty-one physicians in Project Senior Health and Alcohol Risk Education and 3,305 of their patients aged 60 and older who use alcohol and completed a survey that included the Comorbidity Alcohol Risk Evaluation Tool (CARET).
At study baseline, older adults were asked whether alcohol-related discussions with a physician had occurred in the prior year. This outcome was modeled using logistic regression models with physician random effects. Predictor variables included patient-level variables such as demographics and seven CARET-defined risk factors, specifically a medical or psychiatric comorbidity that alcohol might worsen, a potentially alcohol-related symptom, use of a medication that may interact negatively with alcohol, excessive quantity or frequency of alcohol use, binge drinking, concern from others about drinking, and drinking and driving. Physician-level predictors (age, sex, years since graduation, specialty) were also included.
The probability of reporting alcohol-related discussions declined with patient age (e.g., odds ratio (OR)=0.40 for patients aged ≥80) and was significantly lower for Latinos (OR=0.38). Drinking and driving (OR=1.69) or concern from others (OR=6.04) were significantly associated with alcohol-related discussions; having comorbidities or using medications that may interact with alcohol were not.
Although patient demographics, including age and ethnicity, are associated with the occurrence of alcohol-related discussions, clinical factors that may negatively interact with alcohol to increase risk are not. This suggests that physicians may not be attuned to the entire spectrum of alcohol-related risks for older adults.
Journal of the American Geriatrics Society 11/2010; 58(12):2369-74. · 3.74 Impact Factor
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ABSTRACT: This descriptive study used stakeholder input to prioritize evidence-based strategies for improving depression care and to select incentives for mental health clinicians to adopt those strategies, and to conduct a feasibility test of an incentive-based program in a managed behavioral healthcare organization (MBHO). In two rounds of interviews and a stakeholder meeting, MBHO administrators and clinicians selected increasing combination treatment (antidepressant plus psychotherapy) rates as the program goal; and paying a bonus for case reviews, clinician feedback, and clinician education as incentives. We assessed program feasibility with case review and clinician surveys from a large independent practice association that contracts with the MBHO. Findings suggest that providing incentives for mental health clinicians is feasible and the incentive program did increase awareness. However, adoption may be challenging because of administrative barriers and limited clinical data available to MBHOs.
Administration and Policy in Mental Health 10/2010; 38(3):193-202. · 2.09 Impact Factor
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ABSTRACT: HIV triply-diagnosed adults (those with chronic mental illness and substance abuse disorders) must rely heavily on public insurance to cover high annual medical costs (approximately $50,000). This study examines the nature and determinants of insurance coverage (including managed care) for this population, along with annual transitions in coverage. Relative to people living with HIV/AIDS in general, fewer triply-diagnosed adults rely on private coverage (3% vs. 30%), but their rate of being uninsured is only slightly lower (16% vs. 20%). More than one third of such adults below poverty are uninsured-a matter of significant policy concern since the annual income of this group is less than 10% of the amount needed to cover their expected medical expenses. Those with the lowest mental health status were disproportionately represented in managed care. While coverage appears relatively stable over time, those with low incomes and moderate mental health status may face barriers in securing Medicaid.
Journal of Health Care for the Poor and Underserved 08/2010; 21(3):1006-30. · 1.10 Impact Factor
