Prospective Investigation of Factors Associated with Prescription Opioid Dose Escalation among Patients in Integrated Health Systems.

BACKGROUND: Prior research has identified factors associated with prescription opioid initiation, but little is known about the prevalence or predictors of dose escalation among patients already prescribed long-term opioid therapy (LTOT). OBJECTIVE: This was a 2-year prospective cohort study to examine patient and clinician factors associated with opioid dose escalation. DESIGN: A prospective cohort study. Participants were seen at baseline and every 6 months for a total of 2 years. PARTICIPANTS: Patients prescribed a stable dose of LTOT for musculoskeletal pain were recruited from two integrated health systems (Kaiser Permanente and the Department of Veterans Affairs, respectively). MAIN MEASURES: The prescription opioid dose was based on pharmacy records and self-report. Administrative data were gathered on characteristics of the opioid-prescribing clinician and healthcare utilization. Participants completed measures of pain, functioning, and quality of life. KEY RESULTS: Of enrolled participants (n = 517), 19.5% had an opioid dose increase. In multivariate analyses, patient variables associated with dose escalation were lower opioid dose (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.79-0.94, for every 10-mg increase in baseline dose) and greater pain catastrophizing (HR = 1.03, 95% CI = 1.01-1.05). Other variables associated with dose escalation were as follows: receiving medications from a nurse practitioner primary care provider (HR = 2.10, 95% CI = 1.12-3.96) or specialty physician (HR = 3.18, 95% CI = 1.22-8.34), relative to a physician primary care provider, and having undergone surgery within the past 6 months (HR = 1.80, 95% CI = 1.10-2.94). Other variables, including pain intensity, pain disability, or depression, were not associated with dose escalation. CONCLUSIONS: In this 2-year prospective cohort study, variables associated with opioid dose escalation were lower opioid dose, higher pain catastrophizing, receiving opioids from a medical specialist (rather than primary care clinician) or nurse practitioner, and having recently undergone surgery. Study findings highlight intervention points that may be helpful for reducing the likelihood of future prescription opioid dose escalation.

Patient characteristics associated with treatment initiation and engagement among individuals diagnosed with alcohol and other drug use disorders in emergency department and primary care settings.

Background: Treatment initiation and engagement rates for alcohol and other drug (AOD) use disorders differ depending on where the AOD use disorder was identified. Emergency department (ED) and primary care (PC) are 2 common settings where patients are identified; however, it is unknown whether characteristics of patients who initiate and engage in treatment differ between these settings. Methods: Patients identified with an AOD disorder in ED or PC settings were drawn from a larger study that examined Healthcare Effectiveness Data and Information Set (HEDIS) AOD treatment initiation and engagement measures across 7 health systems using electronic health record data (n = 54,321). Multivariable generalized linear models, with a logit link, clustered on health system, were used to model patient factors associated with initiation and engagement in treatment, between and within each setting. Results: Patients identified in the ED had higher odds of initiating treatment than those identified in PC (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI] = 1.73-2.07), with no difference in engagement between the settings. Among those identified in the ED, compared with patients aged 18-29, older patients had higher odds of treatment initiation (age 30-49: aOR = 1.25, 95% CI = 1.12-1.40; age 50-64: aOR = 1.42, 95% CI = 1.26-1.60; age 65+: aOR = 1.27, 95% CI = 1.08-1.49). However, among those identified in PC, compared with patients aged 18-29, older patients were less likely to initiate (age 30-49: aOR = 0.81, 95% CI = 0.71-0.94; age 50-64: aOR = 0.68, 95% CI = 0.58-0.78; age 65+: aOR = 0.47, 95% CI = 0.40-0.56). Women identified in ED had lower odds of initiating treatment (aOR = 0.80, 95% CI = 0.72-0.88), whereas sex was not associated with treatment initiation in PC. In both settings, patients aged 65+ had lower odds of engaging compared with patients aged 18-29 (ED: aOR = 0.61, 95% CI = 0.38-0.98; PC: aOR = 0.42, 95% CI = 0.26-0.68). Conclusion: Initiation and engagement in treatment differed by sex and age depending on identification setting. This information could inform tailoring of future AOD interventions.

The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems.

Background: Cannabis use disorders (CUDs) have increased with more individuals using cannabis, yet few receive treatment. Health systems have adopted the Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of initiation and engagement in alcohol and other drug (AOD) dependence treatment, but little is known about the performance of these among patients with CUDs. Methods: This cohort study utilized electronic health records and claims data from 7 health care systems to identify patients with documentation of a new index CUD diagnosis (no AOD diagnosis ≤60 days prior) from International Classification of Diseases, Ninth revision, codes (October 1, 2014, to August 31, 2015). The adjusted prevalence of each outcome (initiation, engagement, and a composite of both) was estimated from generalized linear regression models, across index identification settings (inpatient, emergency department, primary care, addiction treatment, and mental health/psychiatry), AOD comorbidity (patients with CUD only and CUD plus other AOD diagnoses), and patient characteristics. Results: Among 15,202 patients with an index CUD diagnosis, 30.0% (95% confidence interval [CI]: 29.2-30.7%) initiated, 6.9% (95% CI: 6.2-7.7%) engaged among initiated, and 2.1% (95% CI: 1.9-2.3%) overall both initiated and engaged in treatment. The adjusted prevalence of outcomes varied across index identification settings and was highest among patients diagnosed in addiction treatment, with 25.0% (95% CI: 22.5-27.6%) initiated, 40.9% (95% CI: 34.8-47.0%) engaged, and 12.5% (95% CI: 10.0-15.1%) initiated and engaged. The adjusted prevalence of each outcome was generally highest among patients with CUD plus other AOD diagnosis at index diagnosis compared with those with CUD only, overall and across index identification settings, and was lowest among uninsured and older patients. Conclusion: Among patients with a new CUD diagnosis, the proportion meeting HEDIS criteria for initiation and/or engagement in AOD treatment was low and demonstrated variation across index diagnosis settings, AOD comorbidity, and patient characteristics, pointing to opportunities for improvement.

Correlates of Benzodiazepine Use and Adverse Outcomes Among Patients with Chronic Pain Prescribed Long-term Opioid Therapy.

OBJECTIVE: To examine the correlates and odds of receiving overlapping benzodiazepine and opioid prescriptions and whether co-prescription was associated with greater odds of falling or visiting the emergency department. DESIGN: Cross-sectional study. SETTING: A large private integrated health system and a Veterans Health Administration integrated health system. SUBJECTS: Five hundred seventeen adults with musculoskeletal pain and current prescriptions for long-term opioid therapy. METHODS: A multivariate logistic regression model examined correlates of having overlapping benzodiazepine and opioid prescriptions in the year before enrollment in the cross-sectional study. Negative binomial models analyzed the number of falls in the past three months and past-year emergency department visits. In addition to propensity score adjustment, models controlled for demographic characteristics, psychiatric diagnoses, medications, overall comorbidity score, and opioid morphine equivalent dose. RESULTS: Twenty-five percent (N = 127) of participants had co-occurring benzodiazepine and opioid prescriptions in the prior year. Odds of receiving a benzodiazepine prescription were significantly higher among patients with the following psychiatric diagnoses: anxiety disorder (adjusted odds ratio [AOR] = 4.71, 95% confidence interval [CI] = 2.67-8.32, P < 0.001), post-traumatic stress disorder (AOR = 2.24, 95% CI = 1.14-4.38, P = 0.019), and bipolar disorder (AOR = 3.82, 95% CI = 1.49-9.81, P = 0.005). Past-year overlapping benzodiazepine and opioid prescriptions were associated with adverse outcomes, including a greater number of falls (risk ratio [RR] = 3.27, 95% CI = 1.77-6.02, P = 0.001) and emergency department visits (RR = 1.66, 95% CI = 1.08-2.53, P = 0.0194). CONCLUSIONS: Among patients with chronic pain prescribed long-term opioid therapy, one-quarter of patients had co-occurring prescriptions for benzodiazepines, and dual use was associated with increased odds of falls and emergency department visits.

Patient perspectives on how living with a mental illness affects making and maintaining healthy lifestyle changes.

OBJECTIVE: To understand the ways that mental health symptoms interfere with achieving health goals. METHODS: Individuals with mental illness diagnoses and varying levels of preventive service use were recruited from federally qualified health centers and an integrated health care delivery system and interviewed. Thematic analysis was used to characterize descriptions of how mental illness experiences influenced lifestyle change efforts. RESULTS: Three themes described patients' (n = 163) perspectives on barriers to making healthy lifestyle changes: 1) Thinking about making lifestyle changes is overwhelming for individuals already managing the burdens of mental illnesses; 2) Depression makes it difficult to care about a healthy future; and 3) When mental illness symptoms are not adequately treated unhealthy behaviors that provide relief are unlikely to be discontinued. Participants also made suggestions for improving health care delivery to facilitate positive behavior change. CONCLUSION: Patients with mental illnesses need their clinicians to be empathic, help them envision a healthier future, address unmet mental health needs, and provide resources. PRACTICE IMPLICATIONS: Primary care clinicians should encourage their patients with mental illnesses to make healthy lifestyle changes within the context of a supportive relationship. Lifestyle change can be overwhelming; clinicians should acknowledge progress and provide ongoing tangible support.

Self-Reported Suicidal Ideation as a Predictor of Suicidal Behavior Among Outpatients With Diagnoses of Psychotic Disorders.

OBJECTIVE: Individuals with psychotic disorders are at high risk of suicidal behavior. The study examined whether response to item 9 of the Patient Health Questionnaire (PHQ-9), which asks about thoughts of death or self-harm, predicts suicidal behavior among outpatients with diagnoses of psychotic disorders. METHODS: Electronic health records (EHRs) from seven large integrated health systems were used to identify all outpatient visits by adults with a diagnosis of schizophrenia spectrum psychosis or unspecified psychosis from January 1, 2009, to June 30, 2015, during which a PHQ-9 was completed (N=32,982 visits by 5,947 patients). Suicide attempts over the 90 days following each visit were ascertained from EHRs and insurance claims. Suicide deaths were ascertained from state death certificate files. RESULTS: Risk of suicide attempt within 90 days of an outpatient visit was .8% among patients reporting no thoughts of death or self-harm and 3.5% among those reporting such thoughts "nearly every day." Over 90 days of follow-up, 47% of suicide attempts occurred among those who reported any recent thoughts of death or self-harm at the sampled visit. Also, 59% of attempts occurred among those reporting thoughts of death or self-harm at the index visit or any visit in the prior year. The number of suicide deaths within 90 days (N=10) was too small to accurately assess the relationship between PHQ-9 item 9 response and subsequent suicide death. CONCLUSIONS: Among outpatients with psychotic disorders, response to item 9 of the PHQ-9 accurately identified those at increased short-term risk of a suicide attempt.

Preliminary evidence is promising, but challenges remain in providing service dogs to veterans: Commentary on preliminary efficacy of service dogs as a complementary treatment for posttraumatic stress disorder in military members and veterans (O'Haire & Rodriguez, 2018).

OBJECTIVE: Veterans with posttraumatic stress disorder (PTSD) are interested in service dogs to manage or reduce symptoms. Until recently, evidence was anecdotal with few research studies documenting the feasibility or benefits of service dogs for veterans. In the past year, new studies have presented preliminary evidence on the benefits of service dogs. METHOD: Comment on O'Haire and Rodriguez (2018). RESULTS: Positive findings presented in O'Haire and Rodriguez (2018) and Yarborough et al. (2017) included reduced self-reported PTSD symptoms, decreased depression symptoms, improvements in relationships, and increased activity levels. In addition to the benefits, Yarborough, Stumbo, Yarborough, Owen-Smith, and Green (2018) described challenges that veterans had not expected, including the demands of long, intensive training sessions required to receive a service animal, and an increase in unwanted public attention. In light of this preliminary evidence, a critical appraisal and identification of next steps for future research are in order. In this commentary we argue that rigorous randomized controlled trials comparing veterans who receive service dogs with those who do not are due. Such trials should account for self-selection bias and some veterans' overly optimistic expectations for service dogs, both of which have not previously been controlled for in non-randomized studies to date and may present a challenge to trial validity. We also argue that future research needs an adequate long-term follow-up evaluation period and should investigate the specific mechanisms of action at work (i.e. how do service dogs improve PTSD symptoms and quality of life). CONCLUSIONS: Additional trials are needed to establish the efficacy of service dogs for veterans with PTSD. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Benefits and challenges of using service dogs for veterans with posttraumatic stress disorder.

OBJECTIVE: Veterans with posttraumatic stress disorder (PTSD) are increasingly seeking service dogs to help them manage trauma-related symptoms, yet literature describing service dog use in this population is scant. The goal of this study was to document the benefits and challenges experienced by veterans with service dogs trained to assist with PTSD-related needs. METHOD: Participants were veterans (N = 41) with service dogs, and their caregivers (n = 8), recruited through community-based service dog training agencies. We conducted in-depth interviews and observed training sessions as part of a larger study, and used thematic analysis to characterize data. RESULTS: Veterans reported that service dogs reduced hypervigilance by alerting and creating boundaries, and disrupted nightmares, improving sleep quality and duration. Dogs also helped veterans turn their attention away from invasive trauma-related thoughts. Additional reported benefits included improved emotional connections with others, increased community participation and physical activity, and reduced suicidal impulses and medication use. Demands of training, adjustment to life with a service dog, and delayed benefits were challenging for many veterans and caregivers. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Veterans report that service dogs help reduce PTSD symptoms and facilitate recovery and realization of meaningful goals. Service dogs may be a reasonable option for veterans who are reluctant to pursue or persist with traditional evidence-based treatments. Additional rigorous research on the effectiveness of service dogs for this population is warranted. (PsycINFO Database Record

Correlates of Use and Perceived Effectiveness of Non-pharmacologic Strategies for Chronic Pain Among Patients Prescribed Long-term Opioid Therapy.

OBJECTIVE: Non-pharmacologic treatments (NPTs) are recommended for chronic pain. Information is limited on patient use or perceptions of NPTs. We examined the frequency and correlates of use and self-rated helpfulness of NPTs for chronic pain among patients who are prescribed long-term opioid therapy (LTOT). METHODS: Participants (n = 517) with musculoskeletal pain who were prescribed LTOT were recruited from two integrated health systems. They rated the frequency and utility of six clinician-directed and five self-directed NPTs for chronic pain. We categorized NPT use at four levels based on number of interventions used and frequency of use (none, low, moderate, high). Analyses examined clinical and demographic factors that differed among groups for both clinician-directed and self-directed NPTs. RESULTS: Seventy-one percent of participants reported use of any NPT for pain within the prior 6 months. NPTs were rated as being helpful by more than 50% of users for all treatments assessed (range 51-79%). High users of clinician-directed NPTs were younger than non-users or low-frequency users and had the most depressive symptoms. In both clinician-directed and self-directed categories, high NPT users had significantly higher pain disability compared to non-NPT users. No significant group differences were detected on other demographic or clinical variables. In multivariable analyses, clinician-directed NPT use was modestly associated with younger age (OR = 0.97, 95% CI = 0.96-0.98) and higher pain disability (OR = 1.01, 95% CI = 1.00-1.02). Variables associated with greater self-directed NPT use were some college education (OR = 1.80, 95% CI = 1.13-2.84), college graduate or more (OR = 2.02, 95% CI = 1.20-3.40), and higher pain disability (OR = 1.01, 95% CI = 1.01-1.02). CONCLUSIONS: NPT use was associated with higher pain disability and younger age for both clinician-directed and self-directed NPTs and higher education for self-directed NPTs. These strategies were rated as helpful by those that used them. These results can inform intervention implementation and be used to increase engagement in NPTs for chronic pain.

Perspectives on Providing And Receiving Preventive Health Care From Primary Care Providers and Their Patients With Mental Illnesses.

PURPOSE: Individuals with mental illnesses have higher morbidity rates and reduced life expectancy compared to the general population. Understanding how patients and providers perceive the need for prevention, as well as the barriers and beliefs that may contribute to insufficient care, are important for improving service delivery tailored to this population. DESIGN: Cross-sectional; mixed methods. SETTING: An integrated health system and a network of federally qualified health centers and safety net clinics. PARTICIPANTS: Interviews (n = 30) and surveys (n = 249) with primary care providers. Interviews (n = 158) and surveys (n = 160) with patients diagnosed with schizophrenia, bipolar, anxiety, or major depressive disorders. MEASURES: Semi-structured interviews and surveys. ANALYSIS: Thematic analysis for qualitative data; frequencies for quantitative data. RESULTS: More than half (n = 131, 53%) of clinicians believed patients with mental illnesses care less about preventive care than the general population, yet 88% (n = 139) of patients reported interest in improving health. Most providers (n = 216, 88%) lacked confidence that patients with mental illnesses would follow preventive recommendations; 82% (n = 129) of patients reported they would try to change lifestyles if their doctor recommended. Clinicians explained that their perception of patients' chaotic lives and lack of interest in preventive care contributed to their fatalistic attitudes on care delivery to this population. Clinicians and patients agreed on substantial need for additional support for behavior changes. Clinicians reported providing informational support by keeping messages simple; patients reported a desire for more detailed information on reasons to complete preventive care. Patients also detailed the need for assistive and tangible support to manage behavioral health changes. CONCLUSIONS: Our results suggest a few clinical changes could help patients complete preventive care recommendations and improve health behaviors: improving clinician-patient collaboration on realistic goal setting, increasing visit time or utilizing behavioral health consultants that bridge primary and specialty mental health care, and increasing educational and tangible patient support services.

Mortality Rates After the First Diagnosis of Psychotic Disorder in Adolescents and Young Adults.

Importance: Individuals with psychotic disorders have increased mortality, and recent research suggests a marked increase shortly after diagnosis. Objective: To use population-based data to examine overall and cause-specific mortality after first diagnosis of a psychotic disorder. Design, Setting, and Participants: This cohort study used records from 5 integrated health systems that serve more than 8 million members in 5 states. Members aged 16 through 30 years who received a first lifetime diagnosis of a psychotic disorder from September 30, 2009, through September 30, 2015, and 2 comparison groups matched for age, sex, health system, and year of diagnosis were selected from all members making an outpatient visit (general outpatient group) and from all receiving a first diagnosis of unipolar depression (unipolar depression group). Exposures: First recorded diagnosis of schizophrenia, schizoaffective disorder, mood disorder with psychotic symptoms, or other psychotic disorder in any outpatient, emergency department, or inpatient setting. Main Outcomes and Measures: Death within 3 years after the index diagnosis or visit date, ascertained from health system electronic health records, insurance claims, and state mortality records. Results: A total of 11 713 members with first diagnosis of a psychotic disorder (6976 [59.6%] men and 4737 [40.4%] women; 2368 [20.2%] aged 16-17 and 9345 [79.8%] aged 18-30 years) were matched to 35 576 outpatient service users and 23 415 members with a first diagnosis of unipolar depression. During the year after the first diagnosis, all-cause mortality was 54.6 (95% CI, 41.3-68.0) per 10 000 in the psychotic disorder group compared with 20.5 (95% CI, 14.7-26.3) per 10 000 in the unipolar depression group and 6.7 (95% CI, 4.0-9.4) per 10 000 in the general outpatient group. After adjustment for race, ethnicity, and preexisting chronic medical conditions, the relative hazard of death in the psychotic disorder group compared with the general outpatient group was 34.93 (95% CI, 8.19-149.10) for self-inflicted injury or poisoning and 4.67 (95% CI, 2.01-10.86) for other type of injury or poisoning. Risk of death due to heart disease or diabetes did not differ significantly between the psychotic disorder and the general outpatient groups (hazard ratio, 0.78; 95% CI, 0.15-3.96). Between the first and third years after diagnosis, all-cause mortality in the psychotic disorder group decreased from 54.6 to 27.1 per 10 000 persons and injury and poisoning mortality decreased from 30.6 to 15.1 per 10 000 persons. Both rates, however, remained 3 times as high as in the general outpatient group (9.0 per 10 000 for all causes; 4.8 per 10 000 for injury or poisoning). Conclusions and Relevance: Increases in early mortality underscore the importance of systematic intervention for young persons experiencing the first onset of psychosis. Clinicians should attend to the elevated suicide risk after the first diagnosis a psychotic disorder.

Care Pathways Before First Diagnosis of a Psychotic Disorder in Adolescents and Young Adults.

OBJECTIVE: The authors sought to describe patterns of health care use prior to first diagnosis of a psychotic disorder in a population-based sample. METHOD: Electronic health records and insurance claims from five large integrated health systems were used to identify 624 patients 15-29 years old who received a first diagnosis of a psychotic disorder in any care setting and to record health services received, diagnoses assigned, and medications dispensed during the previous 36 months. Patterns of utilization were compared between patients receiving a first diagnosis of a psychotic disorder and matched samples of general health system members and members receiving a first diagnosis of unipolar depression. RESULTS: During the year before a first psychotic disorder diagnosis, 29% of patients had mental health specialty outpatient care, 8% had mental health inpatient care, 24% had emergency department mental health care, 29% made a primary care visit with a mental health diagnosis, and 60% received at least one mental health diagnosis (including substance use disorders). Compared with patients receiving a first diagnosis of unipolar depression, those with a first diagnosis of a psychotic disorder were modestly more likely to use all types of health services and were specifically more likely to use mental health inpatient care (odds ratio=2.96, 95% CI=1.97-4.43) and mental health emergency department care (rate ratio=3.74, 95% CI=3.39-4.53). CONCLUSIONS: Most patients receiving a first diagnosis of a psychotic disorder had some indication of mental health care need during the previous year. General use of primary care or mental health services, however, does not clearly distinguish people who later receive a diagnosis of a psychotic disorder from those who later receive a diagnosis of unipolar depression. Use of inpatient or emergency department mental health care is a more specific indicator of risk.

Patterns and correlates of medical cannabis use for pain among patients prescribed long-term opioid therapy.

OBJECTIVE: Little is known about co-occurring long-term opioid therapy (LTOT) and medical cannabis use. We compared characteristics of patients prescribed LTOT who endorsed using medical cannabis for pain to patients who did not report cannabis use. METHOD: Participants (n=371) prescribed LTOT completed self-report measures about pain, substance use, and mental health. RESULTS: Eighteen percent of participants endorsed using medical cannabis for pain. No significant differences were detected on pain-related variables, depression, or anxiety between those who endorsed medical cannabis use and those who did not. Medical cannabis users had higher scores of risk for prescription opioid misuse (median=17.0 vs. 11.5, p<0.001), rates of hazardous alcohol use (25% vs. 16%, p<0.05), and rates of nicotine use (42% vs. 26%, p=0.01). Multivariable analyses indicated that medical cannabis use was significantly associated with risk of prescription opioid misuse (ß=0.17, p=0.001), but not hazardous alcohol use (aOR=1.96, 95% CI=0.96-4.00, p=0.06) or nicotine use (aOR=1.61, 95% CI=0.90-2.88, p=0.11). CONCLUSION: There are potential risks associated with co-occurring LTOT and medical cannabis for pain. Study findings highlight the need for further clinical evaluation in this population. Future research is needed to examine the longitudinal impact of medical cannabis use on pain-related and substance use outcomes.

An Observational Study of Service Dogs for Veterans With Posttraumatic Stress Disorder.

OBJECTIVES: This study examined needs related to posttraumatic stress disorder (PTSD), assistance by service dogs, and feasibility of data collection among veterans receiving service dogs. METHODS: Questionnaires assessed PTSD-related needs and services performed or expected to be performed by service dogs among 78 veterans who had or were on a wait list for a service dog (average age, 42; women, 31%). Analyses compared pre-post characteristics among 22 veterans who received a service dog as part of the study (91% follow-up; average follow-up=3.37±2.57 months). RESULTS: Veterans reported that the most important services performed were licking or nudging veterans to help them "stay present," preventing panic, and putting space between veterans and strangers. High follow-up rates and improvements in outcomes with moderate to large effect sizes among recipients of study-provided dogs suggest further study is warranted. CONCLUSIONS: Service dogs may be feasible supports for veterans with PTSD; randomized clinical trials are needed to assess effectiveness.

Higher Prescription Opioid Dose is Associated With Worse Patient-Reported Pain Outcomes and More Health Care Utilization.

Some previous research has examined pain-related variables on the basis of prescription opioid dose, but data from studies involving patient-reported outcomes have been limited. This study examined the relationships between prescription opioid dose and self-reported pain intensity, function, quality of life, and mental health. Participants were recruited from 2 large integrated health systems, Kaiser Permanente Northwest (n = 331) and VA Portland Health Care System (n = 186). To be included, participants had to have musculoskeletal pain diagnoses and be receiving stable doses of long-term opioid therapy. We divided participants into 3 groups on the basis of current prescription opioid dose in daily morphine equivalent dose (MED): low dose (5-20 mg MED), moderate dose (20.1-50 mg MED), and higher dose (50.1-120 mg MED) groups. A statistically significant trend emerged where higher prescription opioid dose was associated with moderately sized effects including greater pain intensity, more impairments in functioning and quality of life, poorer self-efficacy for managing pain, greater fear avoidance, and more health care utilization. Rates of potential alcohol and substance use disorders also differed among groups. Findings from this evaluation reveal significant differences in pain-related and substance-related factors on the basis of prescription opioid dose. PERSPECTIVE: This study included 517 patients who were prescribed long-term opioid therapy and compared differences on pain- and mental health-related variables on the basis of prescription opioid dose. Findings reveal small- to medium-sized differences on pain-related variables, alcohol and substance use, and health care utilization on the basis of the dose of opioid prescribed.

Understanding opioid overdose characteristics involving prescription and illicit opioids: A mixed methods analysis.

BACKGROUND: Opioid abuse and misuse are significant public health issues. The CDC estimated 72% of pharmaceutical-related overdose deaths in the US in 2012 involved opioids. While studies of opioid overdoses have identified sociodemographic characteristics, agents used, administration routes, and medication sources associated with overdoses, we know less about the context and life circumstances of the people who experience these events. METHODS: We analyzed interviews (n=87) with survivors of opioid overdoses or family members of decedents. Individuals experiencing overdoses were members of a large integrated health system. Using ICD codes for opioid overdoses and poisonings, we identified participants from five purposefully derived pools of health-plan members who had: 1) prescriptions for OxyContin(®) or single-ingredient sustained-release oxycodone, 2) oxycodone single-ingredient immediate release, 3) other long-acting opioids, 4) other short-acting opioids, or 5) no active opioid prescriptions. RESULTS: Individuals who experienced opioid overdoses abused and misused multiple medications/drugs; experienced dose-related miscommunications or medication-taking errors; had mental health and/or substance use conditions; reported chronic pain; or had unstable resources or family/social support. Many had combinations of these risks. Most events involved polysubstance use, often including benzodiazepines. Accidental overdoses were commonly the result of abuse or misuse, some in response to inadequately treated chronic pain or, less commonly, medication-related mistakes. Suicide attempts were frequently triggered by consecutive negative life events. CONCLUSIONS: To identify people at greater risk of opioid overdose, efforts should focus on screening for prescribed and illicit polysubstance use, impaired cognition, and changes in life circumstances, psychosocial risks/supports, and pain control.

Methadone, buprenorphine and preferences for opioid agonist treatment: A qualitative analysis.

BACKGROUND: Patients and clinicians have begun to recognize the advantages and disadvantages of buprenorphine relative to methadone, but factors that influence choices between these two medications remain unclear. For example, we know little about how patients' preferences and previous experiences influence treatment decisions. Understanding these issues may enhance treatment engagement and retention. METHODS: Adults with opioid dependence (n=283) were recruited from two integrated health systems to participate in interviews focused on prior experiences with treatment for opioid dependence, knowledge of medication options, preferences for treatment, and experiences with treatment for chronic pain in the context of problems with opioids. Interviews were audio-recorded, transcribed verbatim, and coded using Atlas.ti. RESULTS: Our analysis revealed seven areas of consideration for opioid agonist treatment decision-making: (1) awareness of treatment options; (2) expectations and goals for duration of treatment and abstinence; (3) prior experience with buprenorphine or methadone; (4) need for accountability and structured support; (5) preference to avoid methadone clinics or associated stigma; (6) fear of continued addiction and perceived difficulty of withdrawal; and (7) pain control. CONCLUSION: The availability of medication options increases the need for clear communication between clinicians and patients, for additional patient education about these medications, and for collaboration and patient influence over choices in treatment decision-making. Our results suggest that access to both methadone and buprenorphine will increase treatment options and patient choice and may enhance treatment adherence and outcomes.

Getting by, getting back, and getting on: Matching mental health services to consumers' recovery goals.

OBJECTIVE: The goal of this study was to better understand mental health recovery from the point of view of mental health consumers to identify opportunities for practice improvements that closely align services with consumer goals and consumer-preferred outcomes. METHOD: As part of an exploratory study of recovery, semistructured interviews were conducted with 177 integrated health plan members diagnosed with schizophrenia, schizoaffective disorder, bipolar disorder, or affective psychosis. Transcripts of in-depth interviews were coded using Atlas.ti, and definitions of recovery were further subcoded. A qualitative analysis using a modified grounded theory approach and constant comparative method identified common themes and less common but potentially important recovery-related experiences and perspectives. RESULTS: Three primary and 2 cross-cutting themes emerged. "Getting by" meant coping and meeting basic needs. "Getting back" meant learning to live with mental illness. "Getting on" meant living a life where mental illness was no longer prominent. Regaining control and recouping losses were cross-cutting themes. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Mental health recovery is complex and dynamic; individuals' recovery goals can be expected to change over time. Person-centered care must accommodate changing consumer priorities, services must be flexible and responsive, and outcomes need to match consumers' objectives. Clinicians can assist in (a) identifying recovery goals, (b) monitoring progress toward and recognizing movement away from goals, (c) tailoring support to different phases/stages, and (d) supporting transitions between phases/stages. (PsycINFO Database Record

A qualitative analysis of family involvement in prescribed opioid medication monitoring among individuals who have experienced opioid overdoses.

BACKGROUND: Little is known about the role, extent, or effects of family member involvement in monitoring and managing opioid analgesics. Knowing when or how family members monitor prescribed opioid medication taking, whether it is acceptable to patients, or how family relationships may be affected by monitoring, are not well documented. METHODS: The study was conducted at Kaiser Permanente Northwest, an integrated health plan in Oregon and Washington. Semistructured in-depth interviews (N = 87) assessed circumstances surrounding overdose events among individuals who either experienced an opioid-related overdose or were family members of patients who died as a result of such an overdose. A subset of participants (n = 20) described family members' roles in monitoring opioid medications before or after overdoses. Interviews were transcribed verbatim and coded using Atlas.ti. We used a modified grounded theory approach to categorize emergent data and to identify common themes. RESULTS: When family members played roles in monitoring and managing opioid medications, clinicians were often unaware of their involvement. Patients and family members reported better outcomes when the patient, caregiver, and clinician developed a shared treatment plan. Negative outcomes included relationship stress, particularly when patients and caregivers had differing perspectives about what constituted effective pain management versus misuse and abuse. CONCLUSIONS: When families are concerned about opioid medications, coordination between clinicians, patients, and family carers appears to clarify roles and foster better outcomes. Increased stress and worse outcomes were reported when clinicians were not actively involved and when they did not attend to carers' concerns.

Dual recovery among people with serious mental illnesses and substance problems: a qualitative analysis.

OBJECTIVE: Individuals with serious mental illnesses are more likely to have substance-related problems than those without mental health problems. They also face more difficult recovery trajectories as they cope with dual disorders. Nevertheless, little is known about individuals' perspectives regarding their dual recovery experiences. METHODS: This qualitative analysis was conducted as part of an exploratory mixed-methods study of mental health recovery. Members of Kaiser Permanente Northwest (a group-model, not-for-profit, integrated health plan) who had serious mental illness diagnoses were interviewed four times over two years about factors affecting their mental health recovery. Interviews were recorded, transcribed, and coded with inductively derived codes. Themes were identified by reviewing text coded "alcohol or other drugs." RESULTS: Participants (N = 177) had diagnosed schizophrenia/schizoaffective disorder (n = 75, 42%), bipolar I/II disorder (n = 84, 48%), or affective psychosis (n = 18, 10%). At baseline, 63% (n = 112) spontaneously described addressing substance use as part of their mental health recovery. When asked at follow-up, 97% (n = 171) provided codeable answers about substances and mental health. We identified differing pathways to recovery, including through formal treatment, self-help groups or peer support, "natural" recovery (without the help of others), and continued but controlled use of alcohol. We found three overarching themes in participants' experiences of recovering from serious mental illnesses and substance-related problems: Learning about the effects of alcohol and drugs provided motivation and a foundation for sobriety; achieving sobriety helped people to initiate their mental health recovery processes; and achieving and maintaining sobriety built self-efficacy, self-confidence, improved functioning and a sense of personal growth. Non-judgmental support from clinicians adopting chronic disease approaches also facilitated recovery. CONCLUSIONS: Irrespective of how people achieved sobriety, quitting or severely limiting use of substances was important to initiating and continuing mental health recovery processes. Substance abuse treatment approaches that are flexible, reduce barriers to engagement, support learning about effects of substances on mental health and quality of life, and adopt a chronic disease model of addiction may increase engagement and success. Peer-based support like Alcoholics or Narcotics Anonymous can be helpful for people with serious mental illnesses, particularly when programs accept use of mental health medications.