The prescription of addiction medications after implementation of chronic care management for substance dependence in primary care.
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ABSTRACT:
SUBMITTER: Park TW
PROVIDER: S-EPMC4382414 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
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The prescription of addiction medications after implementation of chronic care management for substance dependence in primary care.
Park Tae Woo TW Samet Jeffrey H JH Cheng Debbie M DM Winter Michael R MR Kim Theresa W TW Fitzgerald Anna A Saitz Richard R
Journal of substance abuse treatment 20141202
People with addictive disorders commonly do not receive efficacious medications. Chronic care management (CCM) is designed to facilitate delivery of effective therapies. Using data from the CCM group in a trial testing its effectiveness for addiction (N=282), we examined factors associated with the prescription of addiction medications. Among participants with alcohol dependence, 17% (95% CI 12.0-22.1%) were prescribed alcohol dependence medications. Among those with drug dependence, 9% (95% CI ...[more]
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Project description:ObjectiveCo-occurring mental and substance use disorders are associated with worse outcomes than a single disorder alone. In this exploratory subgroup analysis of a randomized trial, the authors hypothesized that providing chronic care management (CCM) for substance dependence in a primary care setting would have a beneficial effect among persons with substance dependence and major depressive disorder or posttraumatic stress disorder (PTSD).MethodsAdults (N=563) with alcohol dependence, drug dependence, or both were assigned to CCM or usual primary care. CCM was provided by a nurse care manager, social worker, internist, and psychiatrist. Clinical outcomes (any use of opioids or stimulants or heavy drinking and severity of depressive and anxiety symptoms) and treatment utilization (emergency department use and hospitalization) were measured at three, six, and 12 months after enrollment. Longitudinal regression models were used to compare randomized arms within the subgroups of participants with major depressive disorder or PTSD.ResultsAmong all participants, 79% met criteria for major depressive disorder and 36% met criteria for PTSD at baseline. No significant effect of CCM was observed within either subgroup for any outcome, including any use of opioids or stimulants or heavy drinking, depressive symptoms, anxiety symptoms, and any hospitalizations or number of nights hospitalized. Among participants with depression, those receiving CCM had fewer days in the emergency department compared with the control group, but the finding was of only borderline significance (p=.06).ConclusionsAmong patients with co-occurring substance dependence and mental disorders, CCM was not significantly more effective than usual care for improving clinical outcomes or treatment utilization.
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Project description:Background: Most adolescents who misuse controlled prescription medications acquire them from home settings. However, little is known regarding household management (storage, administration, and disposal) of these medications. Objective: To describe household management of controlled medications. Methods: This was a cross-sectional study with paired data using brief, online, confidential surveys of adolescents and parents via an adolescent medicine clinic associated with a large academic center. Eligible adolescents were 12-18 years with at least one controlled prescription medication in the home. Six core safe management strategies for controlled medications were identified based on current recommendations. Data were collected and analyzed in 2017. Results: Of the 243 adolescent-parent dyads, 78.2% (n = 190) dyads store medication out of sight, 68.7% (n = 167) lock up medications, 78.2% (n = 190) do not store pills besides a school nurse's office or a parent's place of work, 43.6% (n = 106) provide periodic parental monitoring, 64.6% (n = 157) frequently dispose of unused controlled medications (at least every 3-4 months), and 80.2% (n = 195) dispose of controlled medications in a prescription drug take-back program or by flushing. Families with an adolescent prescription for a controlled medication were more likely to use several core management strategies (periodic parental monitoring, frequent disposal, and appropriate disposal location). Families with a household pain reliever were 8.7 times (95% CI 3.3, 23.3) as likely to not keep spare pills in inappropriate locations. Conclusions/Importance: Most families do not practice all recommended safe management strategies for controlled medications. Healthcare professionals should promote safe management to reduce controlled prescription medication misuse.
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Project description:ObjectiveTo examine the roles of facility- and state-level factors in treatment facilities' adoption and diffusion of pharmaceutical agents used in addiction treatment.Data sourcesSecondary data from the National Survey of Substance Abuse Treatment Services (N-SSATS), Substance Abuse and Mental Health Services Administration (SAMHSA), Centers for Medicare and Medicaid Services, Alcohol Policy Information System, and Kaiser Family Foundation.Study designWe estimate ordered logit and multinomial logit models to examine the relationship of state and treatment facility characteristics to the adoption and diffusion of three pharmaceutical agents over 4 years when each was at a different stage of adoption or diffusion.Data collectionN-SSATS data with facility codes, obtained directly from SAMHSA, were linked by state identifiers to the other publicly available, secondary data.Principal findingsThe analysis confirms the importance of awareness and exposure to the adoption behavior of others, dissemination of information about the feasibility and effectiveness of innovations, geographical clustering, and licensing and accreditation in legitimizing facilities' adoption and continued use of pharmacotherapies in addiction treatment.ConclusionsPolicy and administrative levers exist to increase the availability of pharmaceutical technologies and their continued use by substance abuse treatment facilities.
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Project description:BackgroundSubstance use, a leading cause of illness and death, is underidentified in medical practice.ObjectiveThe Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool was developed to address the need for a brief screening and assessment instrument that includes all commonly used substances and fits into clinical workflows. The goal of this study was to assess the performance of the TAPS tool in primary care patients.DesignMultisite study, conducted within the National Drug Abuse Treatment Clinical Trials Network, comparing the TAPS tool with a reference standard measure. (ClinicalTrials.gov: NCT02110693).Setting5 adult primary care clinics.Participants2000 adult patients consecutively recruited from clinic waiting areas.MeasurementsInterviewer- and self-administered versions of the TAPS tool were compared with a reference standard, the modified World Mental Health Composite International Diagnostic Interview (CIDI), which measures problem use and substance use disorder (SUD).ResultsInterviewer- and self-administered versions of the TAPS tool had similar diagnostic characteristics. For identifying problem use (at a cutoff of 1+), the TAPS tool had a sensitivity of 0.93 (95% CI, 0.90 to 0.95) and specificity of 0.87 (CI, 0.85 to 0.89) for tobacco and a sensitivity of 0.74 (CI, 0.70 to 0.78) and specificity of 0.79 (CI, 0.76 to 0.81) for alcohol. For problem use of illicit and prescription drugs, sensitivity ranged from 0.82 (CI, 0.76 to 0.87) for marijuana to 0.63 (CI, 0.47 to 0.78) for sedatives; specificity was 0.93 or higher. For identifying any SUD (at a cutoff of 2+), sensitivity was lower.LimitationsThe low prevalence of some drug classes led to poor precision in some estimates. Research assistants were not blinded to participants' TAPS tool responses when they administered the CIDI.ConclusionIn a diverse population of adult primary care patients, the TAPS tool detected clinically relevant problem substance use. Although it also may detect tobacco, alcohol, and marijuana use disorders, further refinement is needed before it can be recommended broadly for SUD screening.Primary funding sourceNational Institute on Drug Abuse.
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Project description:BackgroundGuideline recommendations to reduce prescription opioid misuse among patients with chronic noncancer pain include the routine use of urine toxicology tests for high-risk patients. Yet little is known about how the implementation of urine toxicology tests among patients with co-occurring chronic noncancer pain and substance use impacts primary care providers' management of misuse. Clinicians' perspectives on the benefits and challenges of implementing urine toxicology tests in the monitoring of opioid misuse and substance use in safety net health care settings are presented in this paper.MethodsTwenty-three primary care providers from 6 safety net health care settings whose patients had a diagnosis of co-occurring chronic noncancer pain and substance use were interviewed. Interviews were transcribed, coded, and analyzed using grounded theory methodology.ResultsThe benefits of implementing urine toxicology tests for primary care providers included less reliance on intuition to assess for misuse and the ability to identify unknown opioid misuse and/or substance use. The challenges of implementing urine toxicology tests included insufficient education and training about how to interpret and implement tests, and a lack of clarity on how and when to act on tests that indicated misuse and/or substance use.ConclusionsThese data suggest that primary care clinicians' lack of education and training to interpret and implement urine toxicology tests may impact their management of patient opioid misuse and/or substance use. Clinicians may benefit from additional education and training about the clinical implementation and use of urine toxicology tests. Additional research is needed on how primary care providers implementation and use of urine toxicology tests impacts chronic noncancer pain management in primary care and safety net health care settings among patients with co-occurring chronic non cancer pain and substance use.
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Project description:IMPORTANCE:Prescription opioid dependence is increasing and creates a significant public health burden, but primary care physicians lack evidence-based guidelines to decide between tapering doses followed by discontinuation of buprenorphine hydrochloride and naloxone hydrochloride therapy (hereinafter referred to as buprenorphine therapy) or ongoing maintenance therapy. OBJECTIVE:To determine the efficacy of buprenorphine taper vs ongoing maintenance therapy in primary care-based treatment for prescription opioid dependence. DESIGN, SETTING, AND PARTICIPANTS:We conducted a 14-week randomized clinical trial that enrolled 113 patients with prescription opioid dependence from February 17, 2009, through February 1, 2013, in a single primary care site. INTERVENTIONS:Patients were randomized to buprenorphine taper (taper condition) or ongoing buprenorphine maintenance therapy (maintenance condition). The buprenorphine taper was initiated after 6 weeks of stabilization, lasted for 3 weeks, and included medications for opioid withdrawal, after which patients were offered naltrexone treatment. The maintenance group received ongoing buprenorphine therapy. All patients received physician and nurse support and drug counseling. MAIN OUTCOMES AND MEASURES:Illicit opioid use via results of urinanalysis and patient report, treatment retention, and reinitiation of buprenorphine therapy (taper group only). RESULTS:During the trial, the mean percentage of urine samples negative for opioids was lower for patients in the taper group (35.2% [95% CI, 26.2%-44.2%]) compared with those in the maintenance group (53.2% [95% CI, 44.3%-62.0%]). Patients in the taper group reported more days per week of illicit opioid use than those in the maintenance group once they were no longer receiving buprenorphine (mean use, 1.27 [95% CI, 0.60-1.94] vs 0.47 [95% CI, 0.19-0.74] days). Patients in the taper group had fewer maximum consecutive weeks of opioid abstinence compared with those in the maintenance group (mean abstinence, 2.70 [95% CI, 1.72-3.75] vs 5.20 [95% CI, 4.16-6.20] weeks). Patients in the taper group were less likely to complete the trial (6 of 57 [11%] vs 37 of 56 [66%]; P?<?.001). Sixteen patients in the taper group reinitiated buprenorphine treatment after the taper owing to relapse. CONCLUSIONS AND RELEVANCE:Tapering is less efficacious than ongoing maintenance treatment in patients with prescription opioid dependence who receive buprenorphine therapy in primary care. TRIAL REGISTRATION:clinicaltrials.gov Identifier: NCT00555425.
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Project description:ObjectiveTo develop a short, patient-administered screening tool that will allow for earlier assessment of prescription opioid dependence (often referred to as addiction) in primary care settings.Design and settingCross-sectional analysis (N = 1,134) from the two-year time point of the Pain and Opioids IN Treatment (POINT) cohort was used in the scale development.SubjectsParticipants who completed two-year interviews in the POINT study, a prospective cohort study that followed people with chronic noncancer pain over a five-year period, and who were prescribed strong opioids for a minimum of six weeks at baseline.MethodsAn advisory committee provided advice on wording and content for screening in primary care settings. Univariate logistic regression identified individual items that were significantly associated with meeting ICD-11 criteria for prescription opioid dependence. Exploratory and confirmatory factor analysis (EFA and CFA) were conducted, and items were reduced to identify a small item set that were discriminative and shared a simple underlying structure.ResultsSixty-four variables associated with ICD-11 criteria for prescription opioid dependence were initially identified. Four rounds of EFA were performed, resulting in five items remaining. CFA identified two possible four-item combinations, with the final combination chosen based on greater item endorsement and the results of goodness-of-fit indices.ConclusionsAddressing prescription opioid dependence is an important part of the global public health challenge surrounding rising opioid-related harm. This study addresses an important initial requisite step to develop a brief screening tool. Further studies are required to validate the tool in clinical settings.
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Project description:BACKGROUND:Healthcare reform in the United States is encouraging Federally Qualified Health Centers and other primary-care practices to integrate treatment for addiction and other behavioral health conditions into their practices. The potential of mobile health technologies to manage addiction and comorbidities such as HIV in these settings is substantial but largely untested. This paper describes a protocol to evaluate the implementation of an E-Health integrated communication technology delivered via mobile phones, called Seva, into primary-care settings. Seva is an evidence-based system of addiction treatment and recovery support for patients and real-time caseload monitoring for clinicians. METHODS/DESIGN:Our implementation strategy uses three models of organizational change: the Program Planning Model to promote acceptance and sustainability, the NIATx quality improvement model to create a welcoming environment for change, and Rogers's diffusion of innovations research, which facilitates adaptations of innovations to maximize their adoption potential. We will implement Seva and conduct an intensive, mixed-methods assessment at three diverse Federally Qualified Healthcare Centers in the United States. Our non-concurrent multiple-baseline design includes three periods - pretest (ending in four months of implementation preparation), active Seva implementation, and maintenance - with implementation staggered at six-month intervals across sites. The first site will serve as a pilot clinic. We will track the timing of intervention elements and assess study outcomes within each dimension of the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, including effects on clinicians, patients, and practices. Our mixed-methods approach will include quantitative (e.g., interrupted time-series analysis of treatment attendance, with clinics as the unit of analysis) and qualitative (e.g., staff interviews regarding adaptations to implementation protocol) methods, and assessment of implementation costs. DISCUSSION:If implementation is successful, the field will have a proven technology that helps Federally Qualified Health Centers and affiliated organizations provide addiction treatment and recovery support, as well as a proven strategy for implementing the technology. Seva also has the potential to improve core elements of addiction treatment, such as referral and treatment processes. A mobile technology for addiction treatment and accompanying implementation model could provide a cost-effective means to improve the lives of patients with drug and alcohol problems. TRIAL REGISTRATION:ClinicalTrials.gov (NCT01963234).
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