ABSTRACT
BACKGROUND: Chronic pain is common, disabling, and costly. Few clinical trials have examined cognitive behavioral therapy (CBT) interventions embedded in primary care settings to improve chronic pain among those receiving long-term opioid therapy. OBJECTIVE: To determine the effectiveness of a group-based CBT intervention for chronic pain. DESIGN: Pragmatic, cluster randomized controlled trial. (ClinicalTrials.gov: NCT02113592). SETTING: Kaiser Permanente health care systems in Georgia, Hawaii, and the Northwest. PARTICIPANTS: Adults (aged ≥18 years) with mixed chronic pain conditions receiving long-term opioid therapy. INTERVENTION: A CBT intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorist, nurse, physical therapist, and pharmacist) versus usual care. MEASUREMENTS: Self-reported pain impact (primary outcome, as measured by the PEGS scale [pain intensity and interference with enjoyment of life, general activity, and sleep]) was assessed quarterly over 12 months. Pain-related disability, satisfaction with care, and opioid and benzodiazepine use based on electronic health care data were secondary outcomes. RESULTS: A total of 850 patients participated, representing 106 clusters of primary care providers (mean age, 60.3 years; 67.4% women); 816 (96.0%) completed follow-up assessments. Intervention patients sustained larger reductions on all self-reported outcomes from baseline to 12-month follow-up; the change in PEGS score was -0.434 point (95% CI, -0.690 to -0.178 point) for pain impact, and the change in pain-related disability was -0.060 point (CI, -0.084 to -0.035 point). At 6 months, intervention patients reported higher satisfaction with primary care (difference, 0.230 point [CI, 0.053 to 0.406 point]) and pain services (difference, 0.336 point [CI, 0.129 to 0.543 point]). Benzodiazepine use decreased more in the intervention group (absolute risk difference, -0.055 [CI, -0.099 to -0.011]), but opioid use did not differ significantly between groups. LIMITATION: The inclusion of only patients with insurance in large integrated health care systems limited generalizability, and the clinical effect of change in scores is unclear. CONCLUSION: Primary care-based CBT, using frontline clinicians, produced modest but sustained reductions in measures of pain and pain-related disability compared with usual care but did not reduce use of opioid medication. PRIMARY FUNDING SOURCE: National Institutes of Health.
Subject(s)
Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Cognitive Behavioral Therapy , Opioid-Related Disorders/psychology , Opioid-Related Disorders/therapy , Primary Health Care , Adult , Aged , Female , Humans , Male , Middle Aged , Pain Measurement , Self-ManagementABSTRACT
BACKGROUND: Chronic pain is prevalent and costly; cost-effective nonpharmacological approaches that reduce pain and improve patient functioning are needed. OBJECTIVE: Report the incremental cost-effectiveness ratio (ICER), compared with usual care, of cognitive behavioral therapy aimed at improving functioning and pain among patients with chronic pain on long-term opioid treatment. DESIGN: Economic evaluation conducted alongside a pragmatic cluster randomized trial. SUBJECTS: Adults with chronic pain on long-term opioid treatment (N=814). INTERVENTION: A cognitive behavioral therapy intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorists, nurses) with additional support from physical therapists, and pharmacists. OUTCOME MEASURES: Cost per quality adjusted life year (QALY) gained, and cost per additional responder (≥30% improvement on standard scale assessment of Pain, Enjoyment, General Activity, and Sleep). Costs were estimated as-delivered, and replication. RESULTS: Per patient intervention replication costs were $2145 ($2574 as-delivered). Those costs were completely offset by lower medical care costs; inclusive of the intervention, total medical care over follow-up was $1841 lower for intervention patients. Intervention group patients also had greater QALY and responder gains than did controls. Supplemental analyses using pain-related medical care costs revealed ICERs of $35,000, and $53,000 per QALY (for replication, and as-delivered intervention costs, respectively); the ICER when excluding patients with outlier follow-up costs was $106,000. LIMITATIONS: Limited to 1-year follow-up; identification of pain-related utilization potentially incomplete. CONCLUSION: The intervention was the optimal choice at commonly accepted levels of willingness-to-pay for QALY gains; this finding was robust to sensitivity analyses.
Subject(s)
Chronic Pain , Cognitive Behavioral Therapy , Adult , Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Cognition , Cost-Benefit Analysis , Humans , Primary Health Care , Quality of Life , Quality-Adjusted Life YearsABSTRACT
BACKGROUND: Mail order pharmacy (MOP) use has been linked to improved medication adherence and health outcomes among patients with diabetes. However, no large-scale intervention studies have assessed the effect of encouraging MOP use on medication adherence. OBJECTIVE: To assess an intervention to encourage MOP services to increase its use and medication adherence. DESIGN: Randomized encouragement trial. PATIENTS: 63,012 diabetes patients from three health care systems: Kaiser Permanente Northern California (KPNC), Kaiser Permanente Hawaii (KPHI), and Harvard Pilgrim Health Care (HPHC) who were poorly adherent to at least one class of cardiometabolic medications and had not used MOP in the prior 12 months. INTERVENTION: Patients were randomized to receive either usual care (control arm) or outreach encouraging MOP use consisting of a mailed letter, secure email message, and automated telephone call outlining the potential benefits of MOP use (intervention arm). HPHC intervention patients received the letter only. MEASUREMENTS: We compared the percentages of patients that began using MOP and that became adherent to cardiometabolic medication classes during a 12-month follow-up period. We also conducted a race/ethnicity-stratified analysis. RESULTS: During follow-up, 10.6% of intervention patients began using MOP vs. 9.3% of controls (p < 0.01); the percent of cardiometabolic medication delivered via mail was 42.1% vs. 39.8% (p < 0.01). Metformin adherence improved in the intervention arm relative to control at the two KP sites (52% vs. 49%, p < 0.01). Stratified analyses suggested a significant positive effect of the intervention in White (RR: 1.12, 95% CI: 1.03, 1.22) and Asian (RR: 1.30, 95% CI: 1.17, 1.45) patients. CONCLUSION: This pragmatic trial showed that simple outreach to encourage MOP modestly increased its use and improved adherence measured by refills to a key class of diabetes medications in some settings. Given its minimal cost, clinicians and health systems should consider outreach interventions to actively promote MOP use among diabetes patients. TRIAL REGISTRATION: ClinicalTrials.gov registration number: NCT02621476.
Subject(s)
Diabetes Mellitus , Pharmacy , Diabetes Mellitus/drug therapy , Diabetes Mellitus/epidemiology , Hawaii/epidemiology , Humans , Medication Adherence , Postal ServiceABSTRACT
PURPOSE: To develop and validate an International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM)-based algorithm to identify cases of stillbirth using electronic healthcare data. METHODS: We conducted a retrospective study using claims data from three Data Partners (healthcare systems and insurers) in the Sentinel Distributed Database. Algorithms were developed using ICD-10-CM diagnosis codes to identify potential stillbirths among females aged 12-55 years between July 2016 and June 2018. A random sample of medical charts (N = 169) was identified for chart abstraction and adjudication. Two physician adjudicators reviewed potential cases to determine whether a stillbirth event was definite/probable, the date of the event, and the gestational age at delivery. Positive predictive values (PPVs) were calculated for the algorithms. Among confirmed cases, agreement between the claims data and medical charts was determined for the outcome date and gestational age at stillbirth. RESULTS: Of the 110 potential cases identified, adjudicators determined that 54 were stillbirth events. Criteria for the algorithm with the highest PPV (82.5%; 95% CI, 70.9%-91.0%) included the presence of a diagnosis code indicating gestational age ≥20 weeks and occurrence of either >1 stillbirth-related code or no other pregnancy outcome code (i.e., livebirth, spontaneous abortion, induced abortion) recorded on the index date. We found ≥90% agreement within 7 days between the claims data and medical charts for both the outcome date and gestational age at stillbirth. CONCLUSIONS: Our results suggest that electronic healthcare data may be useful for signal detection of medical product exposures potentially associated with stillbirth.
Subject(s)
International Classification of Diseases , Stillbirth , Algorithms , Databases, Factual , Female , Humans , Infant , Pregnancy , Retrospective Studies , Stillbirth/epidemiologyABSTRACT
BACKGROUND: Medication non-adherence is a major contributor to poor outcomes in diabetes. Previous research has shown an association between use of mail order pharmacy delivery and better medication adherence, but little is known about the barriers and facilitators to mail order pharmacy use in diabetes patients. This qualitative study examined factors related to mail order pharmacy use versus traditional "brick and mortar" pharmacies to refill prescriptions. METHODS: We conducted four 90-min focus groups in 2016 among 28 diabetes patients in the Hawaii and Northern California regions of Kaiser Permanente, a large integrated health care delivery system. We queried participants on their preferred mode for refilling prescriptions and perceived barriers and facilitators of mail order pharmacy use. One researcher independently coded each focus group transcript, with two of these transcripts double-coded by a second researcher to promote reliability. We employed thematic analysis guided by the Capability, Opportunity, Motivation, and Behavior (COM-B) framework using NVivo 11 software. RESULTS: A total of 28 diabetes patients participated. Participants' average age was 64.1 years; 57% were female; and racial/ethnic backgrounds included Asian/Native Hawaiian/Pacific Islander (36%), Black/African-American (21%) Hispanic/Latino (7%), and non-Hispanic White (36%). Analysis uncovered 26 themes related to the decision to use mail order pharmacy, with each theme representing a barrier or facilitator mapped to the COM-B framework. Most themes (20/26) fell into the COM-B category of 'Opportunity.' Opportunity barriers to mail order pharmacy use included unpredictability of medication delivery date, concerns about mail security, and difficulty coordinating refill orders for multiple prescriptions. In contrast, facilitators included greater access and convenience (e.g., no need to wait in line or arrange transportation) compared to traditional pharmacies. Motivational facilitators to mail order pharmacy use included receiving a pharmacy benefit plan incentive of a free one-month supply of prescriptions. CONCLUSIONS: This study found that while patients with diabetes may benefit from mail order pharmacy use, they perceive numerous barriers to using the service. These findings will inform the design of interventions and quality improvement initiatives to increase mail order pharmacy use, which in turn may improve medication adherence and outcomes in diabetes patients, across health care systems.
Subject(s)
Diabetes Mellitus/drug therapy , Hypoglycemic Agents/therapeutic use , Pharmaceutical Services/statistics & numerical data , Postal Service/statistics & numerical data , Adult , Aged , Aged, 80 and over , California , Female , Focus Groups , Hawaii , Humans , Male , Medication Adherence/statistics & numerical data , Middle Aged , Qualitative ResearchABSTRACT
BACKGROUND: Risk of hepatocellular carcinoma (HCC) may be difficult to determine in the clinical setting. AIM: Develop a scoring system to forecast HCC risk among patients with chronic hepatitis C. METHODS: Using data from the Chronic Hepatitis Cohort Study collected during 2005-2014, we derived HCC risk scores for males and females using an extended Cox model with aspartate aminotransferase-to-platelet ratio index (APRI) as a time-dependent variables and mean Kaplan-Meier survival functions from patient data at two study sites, and used data collected at two separate sites for external validation. For model calibration, we used the Greenwood-Nam-D'Agostino goodness-of-fit statistic to examine differences between predicted and observed risk. RESULTS: Of 12,469 patients (1628 with a history of sustained viral response [SVR]), 504 developed HCC; median follow-up was 6 years. Final predictors in the model included age, alcohol abuse, interferon-based treatment response, and APRI. Point values, ranging from -3 to 14 (males) and -3 to 12 (females), were established using hazard ratios of the predictors aligned with 1-, 3-, and 5-year Kaplan-Meier survival probabilities of HCC. Discriminatory capacity was high (c-index 0.82 males and 0.84 females) and external calibration demonstrated no differences between predicted and observed HCC risk for 1-, 3-, and 5-year forecasts among males (all p values >0.97) and for 3- and 5-year risk among females (all p values >0.87). CONCLUSION: This scoring system, based on age, alcohol abuse history, treatment response, and APRI, can be used to forecast up to a 5-year risk of HCC among hepatitis C patients before and after SVR.
Subject(s)
Carcinoma, Hepatocellular/virology , Decision Support Techniques , Hepatitis C, Chronic/complications , Liver Neoplasms/virology , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Alcohol Drinking/adverse effects , Aspartate Aminotransferases/blood , Biomarkers/blood , Blood Platelets , Carcinoma, Hepatocellular/diagnosis , Clinical Enzyme Tests , Hepatitis C, Chronic/blood , Hepatitis C, Chronic/diagnosis , Humans , Kaplan-Meier Estimate , Liver Neoplasms/diagnosis , Middle Aged , Platelet Count , Predictive Value of Tests , Prognosis , Proportional Hazards Models , Reproducibility of Results , Risk Assessment , Risk Factors , Time Factors , United States , Young AdultABSTRACT
Among 2338 chronic hepatitis B patients followed during 2006-2013 in the Chronic Hepatitis Cohort Study, 78% had ≥1 alanine aminotransferase and 37% had ≥1 hepatitis B virus DNA level assessed annually. Among cirrhotic patients, 46% never had hepatic imaging. Patients in this cohort were insufficiently monitored for disease activity and hepatocellular carcinoma.
Subject(s)
Delivery of Health Care , Hepatitis B, Chronic/therapy , Adolescent , Adult , Antiviral Agents/therapeutic use , Cohort Studies , Continuity of Patient Care , Female , Follow-Up Studies , Hepatitis B, Chronic/complications , Hepatitis B, Chronic/drug therapy , Hepatitis B, Chronic/physiopathology , Humans , Liver Cirrhosis/virology , Male , Middle Aged , United States , Young AdultABSTRACT
BACKGROUND: A key question in care of patients with chronic hepatitis C virus (HCV) infection is beginning treatment immediately vs delaying treatment. Risks of mortality and disease progression in "real world" settings are important to assess the implications of delaying HCV treatment. METHODS: This was a cohort study of HCV patients identified from 4 integrated health systems in the United States who had liver biopsies during 2001-2012. The probabilities of death and progression to hepatocellular carcinoma, hepatic decompensation (hepatic encephalopathy, esophageal varices, ascites, or portal hypertension) or liver transplant were estimated over 1, 2, or 5 years by fibrosis stage (Metavir F0-F4) determined by biopsy at beginning of observation. RESULTS: Among 2799 HCV-monoinfected patients who had a qualifying liver biopsy, the mean age at the time of biopsy was 50.7 years. The majority were male (58.9%) and non-Hispanic white (66.9%). Over a mean observation of 5.0 years, 261 (9.3%) patients died and 34 (1.2%) received liver transplants. At 5 years after biopsy, the estimated risk of progression to hepatic decompensation or hepatocellular carcinoma was 37.2% in stage F4, 19.6% in F3, 4.7% in F2, and 2.3% in F0-F1 patients. Baseline biopsy stage F3 or F4 and platelet count below normal were the strongest predictors of progression to hepatic decompensation or hepatocellular carcinoma. CONCLUSIONS: The risks of death and progression to liver failure varied greatly by fibrosis stage. Clinicians and policy makers could use these progression risk data in prioritization and in determining the timing of treatment for patients in early stages of liver disease.
Subject(s)
Carcinoma, Hepatocellular/epidemiology , Hepatitis C, Chronic/complications , Hepatitis C, Chronic/mortality , Liver Failure/epidemiology , Adult , Aged , Biopsy , Cohort Studies , Disease Progression , Female , Humans , Liver Cirrhosis/pathology , Male , Middle Aged , Risk Assessment , Severity of Illness Index , Survival Analysis , United States/epidemiology , Young AdultABSTRACT
BACKGROUND: Guidelines for the treatment of HCV-infected persons were updated in August 2015 with new recommendations for patients with renal impairment. Treatment is imperative for patients with severe, renal-associated extrahepatic manifestations of HCV infection. AIMS: We sought to describe the prevalence of these conditions among current HCV-infected patients in a population-based prospective, observational cohort study at four large US health systems. METHODS: Data from cohort patients with chronic HCV infection during 2012 were analyzed for the period from 2006 to 2013. We determined the prevalence of mild to moderately impaired renal function defined as having the most recent estimated glomerular filtration rate [eGFR] ≤ 80 ml/min/1.73 m(2), with severe impairment defined as eGFR < 30 ml/min/1.73 m(2), based on the treatment guidelines. Prevalence of extrahepatic conditions was ascertained using ICD9-codes. RESULTS: Among 5772 persons, the prevalence of eGFR ≤ 80 was 33 % and eGFR < 30 was 2 %, including among patients with hepatic fibrosis. Diagnosed extrahepatic renal manifestations were rare: vasculitis- 0.2 %, nephrotic syndrome- 0.3 %, and cryoglobulinemia- 0.9 %. CONCLUSIONS: While the prevalence of severe renal impairment and diagnosed extrahepatic manifestations was low, mild-to-moderate renal impairment was common in HCV patients, including those with advanced liver fibrosis for whom the need for treatment is urgent.
Subject(s)
Hepatitis C, Chronic/complications , Renal Insufficiency/complications , Adult , Aged , Female , Humans , Male , Middle Aged , PrevalenceABSTRACT
BACKGROUND: Linking persons with hepatitis C virus (HCV) to care and treatment is critical to reduction in disease burden; typically, this entailed referral to a specialist. However, data regarding the frequency and factors associated with referral among patients in healthcare organizations (HCOs) are lacking. METHODS: Among persons in four US HCOs with newly diagnosed HCV during 2006-2011, we determined the frequency of liver-related specialist care after diagnosis. We also identified sociodemographic and clinical characteristics associated with such care by multivariate analysis, adjusted for all variables. RESULTS: Among 3592 patients with newly diagnosed HCV, 57 % (range among sites 45-90 %) received specialist care; of these, 57 % received care within 90 days of diagnosis. Patient characteristics associated with receipt of specialist care included: affiliation with one of the study sites [adjusted odds ratio (aOR) 4.8 vs. the referent site); having Medicare plus private insurance (aOR 1.6 vs. Medicaid); and having elevated alanine aminotransferase (ALT) (aOR 1.6 vs. normal ALT) or lower platelet values (aOR 1.4 vs. normal platelet level). Specialist care within 90 days of diagnosis was associated with private insurance (aOR 1.5 vs. Medicaid), elevated ALT levels (aOR 1.3-2.3 vs. normal), and having ≥2 comorbid conditions (aOR 1.4 vs. no comorbid conditions). Compared to patients not referred, those referred were more likely to be treated (aOR 3.5). CONCLUSIONS: Receipt of specialist care among persons with newly diagnosed HCV varied among HCOs. Clinical evidence of liver disease and having private insurance were associated with prompt receipt of specialist care and HCV treatment.
Subject(s)
Antiviral Agents/therapeutic use , Gastroenterology/statistics & numerical data , Hepatitis C, Chronic/therapy , Referral and Consultation/statistics & numerical data , Adolescent , Adult , Aged , Alanine Transaminase/blood , Cohort Studies , Comorbidity , Disease Management , Female , Hepatitis C, Chronic/blood , Humans , Insurance, Health , Male , Medicaid , Medicare , Medicine , Middle Aged , Multivariate Analysis , Odds Ratio , Platelet Count , Time Factors , United States , Young AdultABSTRACT
BACKGROUND: The use of lipid-lowering agents is suboptimal among dual enrollees, particularly blacks. OBJECTIVES: To determine whether the removal of restrictive drug caps under Medicare Part D reduced racial differences among dual enrollees with diabetes. RESEARCH DESIGN: An interrupted time series with comparison series design (ITS) cohort study. SUBJECTS: A total of 8895 black and white diabetes patients aged 18 years and older drawn from a nationally representative sample of fee-for-service dual enrollees (January 2004-December 2007) in states with and without drug caps before Part D. MEASURES: We examined the monthly (1) proportion of patients with any use of lipid-lowering therapies; and (2) intensity of use. Stratification measures included age (less than 65, 65 y and older), race (white vs. black), and sex. RESULTS: At baseline, lipid-lowering drug use was higher in no drug cap states (drug cap: 54.0% vs. nondrug cap: 66.8%) and among whites versus blacks (drug cap: 58.5% vs. 44.9%, no drug cap: 68.4% vs. 61.9%). In strict drug cap states only, Part D was associated with an increase in the proportion with any use [nonelderly: +0.07 absolute percentage points (95% confidence interval, 0.06-0.09), P<0.001; elderly: +0.08 (0.06-0.10), P<0.001] regardless of race. However, we found no evidence of a change in the white-black gap in the proportion of users despite the removal of a significant financial barrier. CONCLUSIONS: Medicare Part D was associated with increased use of lipid-lowering drugs, but racial gaps persisted. Understanding non-coverage-related barriers is critical in maximizing the potential benefits of coverage expansions for disparities reduction.
Subject(s)
Black or African American/statistics & numerical data , Diabetes Mellitus/drug therapy , Hypolipidemic Agents/administration & dosage , Medicaid/statistics & numerical data , Medicare Part D/statistics & numerical data , White People/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Comorbidity , Diabetes Mellitus/ethnology , Female , Humans , Hypolipidemic Agents/economics , Male , Medication Adherence/statistics & numerical data , Middle Aged , Polypharmacy , Sex Factors , United States , Young AdultABSTRACT
BACKGROUND: Adherence to oral antidiabetic medications is often suboptimal. Adherence differences may contribute to health disparities for black diabetes patients, including higher microvascular event rates, greater complication-related disability, and earlier mortality. METHODS: In this longitudinal retrospective cohort study, we used 10 years of patient-level claims and electronic medical record data (1/1/1992-12/31/2001) to assess differences in short- and long-term adherence to oral antidiabetic medication among 1906 newly diagnosed adults with diabetes (26% black, 74% white) in a managed care setting in which all members have prescription drug coverage. Four main outcome measures included: (1) time from diabetes diagnosis until first prescription of oral antidiabetic medication; (2) primary adherence (time from first prescription to prescription fill); (3) time until discontinuation of oral antidiabetic medication from first prescription; and (4) long-term adherence (amount dispensed versus amount prescribed) over a 24-month follow-up from first oral antidiabetic medication prescription. RESULTS: Black patients were as likely as whites to initiate oral therapy and fill their first prescription, but experienced higher rates of medication discontinuation (HR: 1.8, 95% CI: 1.2, 2.7) and were less adherent over time. These black-white differences increased over the first six months of therapy but stabilized thereafter for patients who initiated on sulfonylureas. Significant black-white differences in adherence levels were constant throughout follow-up for patients initiated on metformin therapy. CONCLUSION: Racial differences in adherence to oral antidiabetic drug therapy persist even with equal access to medication. Early and continued emphasis on adherence from initiation of therapy may reduce persistent racial differences in medication use and clinical outcomes.
Subject(s)
Hypoglycemic Agents/administration & dosage , Patient Compliance , Racial Groups , Administration, Oral , Adult , Aged , Diabetes Mellitus/drug therapy , Female , Humans , Longitudinal Studies , Male , Medical Audit , Middle Aged , Retrospective StudiesABSTRACT
Social and behavioral determinants of health, such as poverty, homelessness, and limited social support, account for an estimated 40% of health burdens and predict critical health outcomes. Many clinical-community linkages specifically focus on addressing such challenges. Given its distinctive history, culture, and location, Hawai'i has unique social factors impacting population health. Local health systems are striving to address these issues to meet their patients' health needs. Yet the evidence on precisely how health care systems and communities may work together to achieve these goals are limited both generally and specifically in the Hawai'i context. This article describes real-world efforts by 3 local health care delivery systems that integrate the identification of social needs into clinical care using the electronic health record (EHR). One health care system collects and assesses social challenges and interpersonal needs to improve the care for its frail seniors (aged 65 and older). Another system added key data fields around social support and inpatient mobility in the EHR to identify whether patients needed additional help during hospitalization and post-discharge. A third added a social needs screening tool (eg, housing instability, food insecurity, transportation needs) to its EHR to ensure that patient-specific needs can be appropriately addressed by the care team. Successful integration of this information into the EHR can identify, direct, and support clinical-community linkages and integrate such relationships into the care team. Many lessons can be learned from the implementation of these programs, including the importance of clinical relevance and ensuring capacity for social work liaisons trained for this work to address identified needs.
Subject(s)
Cooperative Behavior , Delivery of Health Care/methods , Electronic Health Records/trends , Social Determinants of Health/standards , Vulnerable Populations/classification , Community Health Services/methods , Community Health Services/trends , Delivery of Health Care/standards , Humans , Social Determinants of Health/statistics & numerical dataABSTRACT
OBJECTIVES: To examine the use of electronic medical record (EMR) data to ascertain falls and develop a fall risk prediction model in an older population. DESIGN: Retrospective longitudinal study using 10 years of EMR data (2004-2014). A series of 3-year cohorts included members continuously enrolled for a minimum of 3 years, requiring 2 years pre-fall (no previous record of a fall) and a 1-year fall risk period. SETTING: Kaiser Permanente Hawaii, an ambulatory setting. PARTICIPANTS: A total of 57 678 adults, age 60 years and older. MEASUREMENTS: Initial EMR searches were guided by current literature and geriatricians to understand coding sources of falls as our outcome. Falls were captured by two coding sources: International Classification of Diseases, Ninth Revision (ICD-9) codes (E880-889) and/or a fall listed as a "primary reason for visit." A comprehensive list of EMR predictors of falls were included into prediction models enabling statistical subset selection from many variables and modeling by logistic regression. RESULTS: Although 72% of falls in the training data set were coded as "primary reason for visit," 22% of falls were coded as ICD-9 and 6% coded as both. About 80% were reported in face-to-face encounters (eg, emergency department). A total of 2164 individuals had a fall in the risk period. Using the 13 key predictors (age, comorbidities, female sex, other mental disorder, walking issues, Parkinson's disease, urinary incontinence, depression, polypharmacy, psychotropic and anticonvulsant medications, osteoarthritis, osteoporosis) identified through LASSO regression, the final model had a sensitivity of 67%, specificity of 69%, positive predictive value of 8%, negative predictive value of 98%, and area under the curve of .74. CONCLUSION: This study demonstrated how the EMR can be used to ascertain falls and develop a fall risk prediction model with moderate sensitivity/specificity. Concurrent work with clinical providers to enhance fall documentation will improve the ability of the EMR to capture falls and consequently may improve the model to predict fall risk.
Subject(s)
Accidental Falls/statistics & numerical data , Electronic Health Records , Risk Assessment/methods , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Retrospective Studies , Risk FactorsABSTRACT
BACKGROUND: Chronic pain is one of the most common, disabling, and expensive public health problems in the United States. Interdisciplinary pain management treatments that employ behavioral approaches have been successful in helping patients with chronic pain reduce symptoms and regain functioning. However, most patients lack access to such treatments. We are conducting a pragmatic clinical trial to test the hypothesis that patients who receive an interdisciplinary biopsychosocial intervention, the Pain Program for Active Coping and Training (PPACT), at their primary care clinic will have a greater reduction in pain impact in the year following than patients receiving usual care. METHODS/DESIGN: This is an effectiveness-implementation hybrid pragmatic clinical trial in which we randomize clusters of primary care providers and their patients with chronic pain who are on long-term opioid therapy to 1) receive an interdisciplinary behavioral intervention in conjunction with their current health care or 2) continue with current health care services. Our primary outcome is pain impact (a composite of pain intensity and pain-related interference) measured using the PEG, a validated three-item assessment. Secondary outcomes include pain-related disability, patient satisfaction, opioids dispensed and health care utilization. An economic evaluation assesses the resources and costs necessary to deliver the intervention and its cost-effectiveness compared with usual care. A formative evaluation employs mixed methods to understand the context for implementation in the participating health care systems. DISCUSSION: This trial will inform the feasibility of implementing interdisciplinary behavioral approaches to pain management in the primary care setting, potentially providing a more effective, safer, and more satisfactory alternative to opioid-based chronic pain treatment. Clinical Trials Registration Number: NCT02113592.
Subject(s)
Behavior Control/methods , Chronic Pain , Low Back Pain , Quality of Life , Adaptation, Psychological , Adult , Analgesics, Opioid/administration & dosage , Chronic Pain/diagnosis , Chronic Pain/drug therapy , Chronic Pain/psychology , Female , Humans , Low Back Pain/diagnosis , Low Back Pain/drug therapy , Low Back Pain/psychology , Male , Pain Management/methods , Pain Measurement/methods , Patient Care Team , Patient Preference/psychology , Patient Preference/statistics & numerical data , Primary Health Care/methods , Recovery of Function/drug effects , Treatment OutcomeABSTRACT
BACKGROUND: Prior authorization is a popular, but understudied, strategy for reducing medication costs. We evaluated the impact of a controversial prior authorization policy in Michigan Medicaid on antidepressant use and health outcomes among dual Medicaid and Medicare enrollees with a Social Security Disability Insurance designation of permanent disability. METHODS: We linked Medicaid and Medicare (2000-2003) claims for dual enrollees in Michigan and a comparison state, Indiana. Using interrupted time-series and longitudinal data analysis, we estimated the impact of the policy on antidepressant medication use, treatment initiation, disruptions in therapy, and adverse health events among continuously enrolled (Michigan, n = 28 798; Indiana, n = 21 769) and newly treated (Michigan, n = 3671; Indiana, n = 2400) patients. RESULTS: In Michigan, the proportion of patients starting nonpreferred agents declined from 53% prepolicy to 20% postpolicy. The prior authorization policy was associated with a small sustained decrease in therapy initiation overall (9 per 10,000 population; P = .007). We also observed a short-term increase in switching among established users of nonpreferred agents overall (risk ratio, 2.88; 95% confidence interval, 1.87-4.42) and among those with depression (2.04; 1.22-3.42). However, we found no evidence of increased disruptions in treatment or adverse events (ie, hospitalization, emergency department use) among newly treated patients. CONCLUSIONS: Prior authorization was associated with increased use of preferred agents with no evidence of disruptions in therapy or adverse health events among new users. However, unintended effects on treatment initiation and switching among patients already taking the drug were also observed, lending support to the state's previous decision to discontinue prior approval for antidepressants in 2003.