Alcohol and Drug Use and Aberrant Drug-Related Behavior Among Patients on Chronic Opioid Therapy

OBJECTIVE

To better identify individuals on chronic opioid therapy (COT) at high risk for aberrant-drug related behavior (ADRB). We examine whether patients with low level alcohol and drug use have similar characteristics to those with alcohol and drug disorders. We then examined the relationship of alcohol and drug use to ADRBs among COT patients.

METHODS

The sample was 972 randomly selected COT patients (age 21-80 years old) from a large health system in Northern California, USA, and interviewed in 2009. Logistic regression models were used to model the dependent variables of: alcohol use, illicit drug use, alcohol disorders, illicit drug disorders, and ADRBs.

RESULTS

The odds of daily/weekly alcohol use were lower for those with a high daily opioid dose (120+ mg/day vs. <20 mg/day) (OR = 0.32, p < 0.010). Illicit drug disorders were associated with depression (OR = 2.31, p < .001) and being on a high daily opioid dose (OR = 5.51, p < .01). Participants with illicit drug use had higher odds of giving (OR = 2.57, p < 0.01) and receiving opioids from friends or family (OR = 3.25, p < 0.001), but disorder diagnoses were not associated with ADRBs.

CONCLUSIONS

Findings reinforce that illicit drug use should be of high concern to clinicians prescribing opioids, and suggest it should be considered separately from alcohol use and alcohol disorders in the evaluation of ADRBs. Frequent alcohol use is low, but not uncommon, and suggests a need to discuss specific issues regarding safe use of opioids among persons who use alcohol that may differ from their risk of drug use.

Association of levels of opioid use with pain and activity interference among patients initiating chronic opioid therapy: a longitudinal study

Little is known about long-term pain and function outcomes among patients with chronic noncancer pain initiating chronic opioid therapy (COT). In the Middle-Aged/Seniors Chronic Opioid Therapy study of patients identified through electronic pharmacy records as initiating COT for chronic noncancer pain, we examined the relationships between level of opioid use (over the 120 days before outcome assessment) and pain and activity interference outcomes at 4- and 12-month follow-ups. Patients aged 45+ years (N = 1477) completed a baseline interview; 1311 and 1157 of these comprised the 4- and 12-month analysis samples, respectively. Opioid use was classified based on self-report and electronic pharmacy records for the 120 days before the 4- and 12-month outcome assessments. Controlling for patient characteristics that predict sustained COT and pain outcomes, patients who had used opioids minimally or not at all, compared with those with intermittent/lower-dose and regular/higher-dose opioid use, had better pain intensity and activity interference outcomes. Adjusted mean (95% confidence interval) pain intensity (0-10 scale) at 12 months was 4.91 (4.68-5.13) for the minimal/no use group and 5.71 (5.50-5.92) and 5.72 (5.51-5.93) for the intermittent/lower-dose and regular/higher-dose groups, respectively. A similar pattern was observed for pain intensity at 4 months and for activity interference at both time points. Better outcomes in the minimal/no use group could reflect pain improvement leading to opioid discontinuation. The similarity in outcomes of regular/higher-dose and intermittent/lower-dose opioid users suggests that intermittent and/or lower-dose use vs higher-dose use may confer risk reduction without reducing benefits.

Evaluation of Health Plan Interventions to Influence Chronic Opioid Therapy Prescribing

OBJECTIVES

Evaluate health plan interventions targeting physician chronic opioid therapy (COT) prescribing.

MATERIALS AND METHODS

In 2006, Group Health's (GH) Integrated Group Practice (IGP) initiated diverse interventions targeting COT prescriber norms and practices. In 2010, the IGP implemented a COT guideline, including a mandated online course for physicians managing COT. These interventions were not implemented in GH's network practices. We compared trends in GH-IGP and network practices for 2006 to 2012 in the percent of patients receiving COT and their opioid dose. We compared physician beliefs before versus after the mandated course and precourse to postcourse changes in COT dosing for IGP physicians who took the course.

RESULTS

From 2006 to 2012, mean (SE) daily opioid dose among IGP COT patients (intervention setting) declined from 74.1 mg (1.9 mg) morphine equivalent dose (MED) to 48.3 mg (1.0 mg) MED. Dose changes among GH network COT patients (control setting) were modest-88.2 mg (5.0 mg) MED in 2006 to 75.7 mg (2.3 mg) MED in 2012. Among physicians taking the mandated course in 2011, we observed precourse to postcourse changes toward more conservative opioid prescribing beliefs. However, COT dosing trends did not change precourse to postcourse.

DISCUSSION

Following initiatives implemented to alter physician prescribing practices and norms, mean opioid dose prescribed to COT patients declined more in intervention than control practices. Physicians reported more conservative beliefs regarding opioid prescribing immediately after completing an online course in 2011, but the course was not associated with additional reductions in mean daily opioid dose prescribed by physicians completing the course.

Optimizing prediction of back pain outcomes

An accurate means of identifying patients at high risk for chronic disabling pain could lead to more cost-effective care, with more intensive interventions targeted to those likely to benefit most. The Chronic Pain Risk Score is a tool developed to predict risk for chronic pain. The aim of this study was to examine whether its predictive ability could be enhanced by: (1) improved measures of the constructs it assesses (Improved Chronic Pain Risk Model); and (2) adding other predictors (Expanded Chronic Pain Risk Model). Patients initiating primary care for back pain (N=571) completed measures used in the Chronic Pain Risk Score, Improved Model, and Expanded Model, then completed the Graded Chronic Pain Scale (GCPS) 4 months later (n=521; 91% response rate). In predicting 4-month GCPS grade III or IV (moderate or severe pain-related activity interference), the Improved Model performed better than did the Chronic Pain Risk Score (Net Reclassification Index [NRI]=0.32, P=0.003). The Expanded Model improved significantly on the prediction of the Improved Model (NRI=0.56, P<0.001) and demonstrated excellent discriminative ability (AUC=0.84, 95% CI=0.79-0.88). The Improved Model (AUC=0.79, 95% CI=0.75-0.84) and the Chronic Pain Risk Score (AUC=0.76, 95% CI=0.71-0.81) showed acceptable discriminative ability. A limited set of measures may be used to predict risk for future clinically significant pain in patients initiating primary care for back pain, but further evaluation of prognostic models is needed.

Prescribed opioid difficulties, depression and opioid dose among chronic opioid therapy patients

BACKGROUND

Chronic opioid therapy has increased dramatically, as have complications related to prescription opioids. Little is known about the problems and concerns attributed to opioids by patients receiving different opioid doses.

METHODS

We surveyed 1883 patients who were receiving chronic opioid therapy for chronic noncancer pain. Opioid regimen characteristics were ascertained from electronic pharmacy records. Patient-reported opioid-related problems and concerns were measured using the Prescription Opioid Difficulties Scale. Depression was assessed with the Patient Health Questionnaire.

RESULTS

Patients prescribed higher opioid doses reported modestly higher pain intensity and pain impact. After adjustment, patients on higher doses attributed higher levels of psychosocial problems and control concerns to prescribed opioids (P<.0001). They also had higher levels of depression and were more likely to meet criteria for clinical depression. Over 60% of patients receiving 120+ mg daily (morphine equivalent) were clinically depressed, a 2.6-fold higher risk (95% confidence interval: 1.5-4.4) than patients on low-dose regimens (<20 mg daily).

CONCLUSIONS

Higher opioid doses were associated with somewhat higher pain severity and higher levels of patient-reported opioid-related psychosocial problems, control concerns and depression. These findings may result from patient selection for high-dose therapy or problems caused by higher-dose opioids.

Predictors of 1-year change in patient activation in older adults with diabetes mellitus and heart disease

OBJECTIVES

To identify patterns and predictors of 1-year change in patient activation in chronically ill older adults.

DESIGN

Prospective cohort study.

SETTING

Integrated healthcare delivery system.

PARTICIPANTS

Members of an integrated delivery system from 2007 to 2009 in western Washington state aged 65 and older with diabetes mellitus or heart disease; participants responded to baseline and 1-year follow-up mailed surveys about their health and health care (N = 2,341).

MEASUREMENTS

Patient activation was measured using the 13-item Patient Activation Measure (PAM) at baseline and follow-up. Automated diagnoses and procedure data were extracted from databases. Multinomial logistic regression, stratified according to baseline activation stage, was used to estimate the odds ratios for increasing or decreasing activation stage associated with participant characteristics and serious adverse health events.

RESULTS

Fifty-two percent of participants changed activation stage between baseline and follow-up. Of people who changed stage, 54% increased, and 46% decreased. Older age and worse baseline self-reported health were independent predictors of activation change in multivariate models. Changes in health status or serious adverse health events such as the occurrence of hospitalizations, new major diagnoses, or procedures were not related to changes in activation in this age group.

CONCLUSION

Patient activation, as measured using the PAM, changes over time in elderly adults with chronic diseases. Clinicians and researchers who use the PAM for patient care or as an outcome measure in research studies should be aware of its fluctuation over time in chronically ill older persons.

Depression and prescription opioid misuse among chronic opioid therapy recipients with no history of substance abuse

PURPOSE

Opioid misuse in the context of chronic opioid therapy (COT) is a growing concern. Depression may be a risk factor for opioid misuse, but it has been difficult to tease out the contribution of co-occurring substance abuse. This study aims to examine whether there is an association between depression and opioid misuse in patients receiving COT who have no history of substance abuse.

METHODS

A telephone survey was conducted at Group Health Cooperative and Kaiser Permanente of Northern California. We interviewed 1,334 patients on COT for noncancer pain who had no history of substance abuse. Patients were asked about 3 forms of opioid misuse: (1) self-medicating for symptoms other than pain, (2) self-increasing doses, and (3) giving to or getting opioids from others. Depression was evaluated by the 8-item Patient Health Questionnaire (PHQ-8).

RESULTS

Compared with patients who were not depressed (PHQ-8 score 0 to 4), patients with moderate depression (PHQ-8 score 10 to 14) and severe depression (PHQ-8 score 15 or higher) were 1.8 and 2.4 times more likely, respectively, to misuse their opioid medications for non-pain symptoms. Patients with mild (PHQ-8 score 5 to 9), moderate, and severe depression were 1.9, 2.9, and 3.1 times more likely, respectively, to misuse their opioid medications by self-increasing their dose. There was no statistically significant association between depression and giving opioids to or getting them from others.

CONCLUSION

In patients with no substance abuse history, depressive symptoms are associated with increased rates of some forms of self-reported opioid misuse. Clinicians should be alert to the risk of patients with depressive symptoms using opioids to relieve these symptoms and thereby using more opioids than prescribed.

Concurrent use of alcohol and sedatives among persons prescribed chronic opioid therapy: prevalence and risk factors

Taking opioids with other central nervous system (CNS) depressants can increase risk of oversedation and respiratory depression. We used telephone survey and electronic health care data to assess the prevalence of, and risk factors for, concurrent use of alcohol and/or sedatives among 1,848 integrated care plan members who were prescribed chronic opioid therapy (COT) for chronic noncancer pain. Concurrent sedative use was defined by receiving sedatives for 45+ days of the 90 days preceding the interview; concurrent alcohol use was defined by consuming 2+ drinks within 2 hours of taking an opioid in the prior 2 weeks. Some analyses were stratified by substance use disorder (SUD) history (alcohol or drug). Among subjects with no SUD history, 29% concurrently used sedatives versus 39% of those with an SUD history. Rates of concurrent alcohol use were similar (12 to 13%) in the 2 substance use disorder strata. Predictors of concurrent sedative use included SUD history, female gender, depression, and taking opioids at higher doses and for more than 1 pain condition. Male gender was the only predictor of concurrent alcohol use. Concurrent use of CNS depressants was common among this sample of COT users regardless of substance use disorder status.

PERSPECTIVE

Risks associated with concurrent use of CNS depressants are not restricted to COT users who abuse those substances. And, the increased risk of concurrently using CNS depressants is not restricted to opioid users with a prior SUD history. COT requires close monitoring, regardless of substance use disorder history.

Patient-reported care coordination: associations with primary care continuity and specialty care use

PURPOSE

Care coordination is increasingly recognized as a necessary element of high-quality, patient-centered care. This study investigated (1) the association between care coordination and continuity of primary care, and (2) differences in this association by level of specialty care use.

METHODS

We conducted a cross-sectional study of Medicare enrollees with select chronic conditions in an integrated health care delivery system in Washington State. We collected survey information on patient experiences and automated health care utilization data for 1 year preceding survey completion. Coordination was defined by the coordination measure from the short form of the Ambulatory Care Experiences Survey (ACES). Continuity was measured by primary care visit concentration. Patients who had 10 or more specialty care visits were classified as high users. Linear regression was used to estimate the association between coordination and continuity, controlling for potential confounders and clustering within clinicians. We used a continuity-by-specialty interaction term to determine whether the continuity-coordination association was modified by high specialty care use.

RESULTS

Among low specialty care users, an increase of 1 standard deviation (SD) in continuity was associated with an increase of 2.71 in the ACES coordination scale (P <.001). In high specialty care users, we observed no association between continuity and reported coordination (P= .77).

CONCLUSIONS

High use of specialty care may strain the ability of primary care clinicians to coordinate care effectively. Future studies should investigate care coordination interventions that allow for appropriate specialty care referrals without diminishing the ability of primary care physicians to manage overall patient care.

Relationship of opioid use and dosage levels to fractures in older chronic pain patients

BACKGROUND

Opioids have been linked to increased risk of fractures, but little is known about how opioid dose affects fracture risk.

OBJECTIVE

To assess whether risk of fracture increases with opioid dose among older patients initiating sustained use of opioids for chronic non-cancer pain.

DESIGN

A cohort study that uses Cox proportional hazards models to compare fracture risk among current opioid users vs. persons no longer using opioids.

PARTICIPANTS

Members of an integrated health care plan (N = 2,341) age 60 years and older who received 3+ opioid prescriptions within a 90-day period for chronic, non-cancer pain between 2000 and 2005.

MEASUREMENTS

Time-varying measures of opioid use and average daily dose in morphine equivalents were calculated from automated data. Fractures were identified from automated data and then validated through medical record review.

RESULTS

Compared with persons not currently using opioids, opioid use was associated with a trend towards increased fracture risk (1.28 (95% CI (0.99, 1.64 )). Higher dose opioid use (>or=50 mg/day) was associated with a 9.95% annual fracture rate and a twofold increase in fracture risk (2.00 (95% CI (1.24, 3.24)). Of the fractures in the study cohort, 34% were of the hip or pelvis, and 37% were associated with inpatient care.

CONCLUSIONS

Higher doses (>or=50 mg/day) of opioids for chronic non-cancer pain were associated with a 2.00 increase in risk of fracture confirmed by medical record review. Clinicians should consider fracture risk when prescribing higher-dose opioid therapy for older adults.

Opioid prescriptions for chronic pain and overdose: a cohort study

BACKGROUND

Long-term opioid therapy for chronic noncancer pain is becoming increasingly common in community practice. Concomitant with this change in practice, rates of fatal opioid overdose have increased. The extent to which overdose risks are elevated among patients receiving medically prescribed long-term opioid therapy is unknown.

OBJECTIVE

To estimate rates of opioid overdose and their association with an average prescribed daily opioid dose among patients receiving medically prescribed, long-term opioid therapy.

DESIGN

Cox proportional hazards models were used to estimate overdose risk as a function of average daily opioid dose (morphine equivalents) received at the time of overdose.

SETTING

HMO.

PATIENTS

9940 persons who received 3 or more opioid prescriptions within 90 days for chronic noncancer pain between 1997 and 2005.

MEASUREMENTS

Average daily opioid dose over the previous 90 days from automated pharmacy data. Primary outcomes--nonfatal and fatal overdoses--were identified through diagnostic codes from inpatient and outpatient care and death certificates and were confirmed by medical record review.

RESULTS

51 opioid-related overdoses were identified, including 6 deaths. Compared with patients receiving 1 to 20 mg/d of opioids (0.2% annual overdose rate), patients receiving 50 to 99 mg/d had a 3.7-fold increase in overdose risk (95% CI, 1.5 to 9.5) and a 0.7% annual overdose rate. Patients receiving 100 mg/d or more had an 8.9-fold increase in overdose risk (CI, 4.0 to 19.7) and a 1.8% annual overdose rate.

LIMITATIONS

Increased overdose risk among patients receiving higher dose regimens may be due to confounding by patient differences and by use of opioids in ways not intended by prescribing physicians. The small number of overdoses in the study cohort is also a limitation.

CONCLUSION

Patients receiving higher doses of prescribed opioids are at increased risk for overdose, which underscores the need for close supervision of these patients.

PRIMARY FUNDING SOURCE

National Institute of Drug Abuse.

Opioid prescriptions for chronic pain and overdose: a cohort study

BACKGROUND

Long-term opioid therapy for chronic noncancer pain is becoming increasingly common in community practice. Concomitant with this change in practice, rates of fatal opioid overdose have increased. The extent to which overdose risks are elevated among patients receiving medically prescribed long-term opioid therapy is unknown.

OBJECTIVE

To estimate rates of opioid overdose and their association with an average prescribed daily opioid dose among patients receiving medically prescribed, long-term opioid therapy.

DESIGN

Cox proportional hazards models were used to estimate overdose risk as a function of average daily opioid dose (morphine equivalents) received at the time of overdose.

SETTING

HMO.

PATIENTS

9940 persons who received 3 or more opioid prescriptions within 90 days for chronic noncancer pain between 1997 and 2005.

MEASUREMENTS

Average daily opioid dose over the previous 90 days from automated pharmacy data. Primary outcomes--nonfatal and fatal overdoses--were identified through diagnostic codes from inpatient and outpatient care and death certificates and were confirmed by medical record review.

RESULTS

51 opioid-related overdoses were identified, including 6 deaths. Compared with patients receiving 1 to 20 mg/d of opioids (0.2% annual overdose rate), patients receiving 50 to 99 mg/d had a 3.7-fold increase in overdose risk (95% CI, 1.5 to 9.5) and a 0.7% annual overdose rate. Patients receiving 100 mg/d or more had an 8.9-fold increase in overdose risk (CI, 4.0 to 19.7) and a 1.8% annual overdose rate.

LIMITATIONS

Increased overdose risk among patients receiving higher dose regimens may be due to confounding by patient differences and by use of opioids in ways not intended by prescribing physicians. The small number of overdoses in the study cohort is also a limitation.

CONCLUSION

Patients receiving higher doses of prescribed opioids are at increased risk for overdose, which underscores the need for close supervision of these patients.

PRIMARY FUNDING SOURCE

National Institute of Drug Abuse.

Supernumerary Spacing of Rainbows Produced by an Elliptical-Cross-Section Cylinder. II. Experiment

We measured the supernumerary spacing parameter of the first- and second-order rainbows of two glass rods, each having an approximately elliptical cross section, as a function of the rod's rotation angle. We attribute large fluctuations in the supernumerary spacing parameter to small local inhomogeneities in the rod's refractive index. The low-pass filtered first-order rainbow experimental data agree with the prediction of ray-tracing-wave-front modeling to within a few percent, and the second-order rainbow data exhibit additional effects that are due to rod nonellipticity.

Experimental observation of rainbow scattering by a coated cylinder: twin primary rainbows and thin-film interference

We experimentally examine the primary rainbow created by the illumination of a coated cylinder. We present a simple technique for varying the coating thickness over a wide range of values, and we see evidence for two different scattering regimes. In one, where the coating thickness is large, twin rainbows are produced. In the second, where the coating is thin enough to act as a thin film, a single rainbow is produced whose intensity varies periodically as the coating thickness varies. We find good agreement with previous theoretical predictions.

Predictors of participation in primary care group-format back pain self-care interventions

OBJECTIVE

The goal of this study was to explain how primary care back pain patients who volunteer for a group-format self-care intervention differ from nonvolunteers. This is relevant to the generalizability of studies that rely on volunteers as well as the characteristics of patients who do not seek out self-care interventions.

SETTING

This study was conducted at a large health maintenance organization in western Washington state.

PATIENTS

"Volunteers" (n = 481) were primary care back pain patients participating in randomized trials of a self-management intervention who were recruited through passive nonintensive means (a mailed invitation). "Nonvolunteers" (n = 967) consisted of a representative sample of consecutive back pain patients. We compared the baseline characteristics of these two groups.

RESULTS

The relatively small percentage (8%) of primary care back pain patients who volunteered for, and ultimately participated in, group self-management classes tended to be white, older, better educated, and more likely to be retired than nonvolunteers. The two groups did not differ significantly on most clinical measures, including pain intensity and persistence. Patients experiencing the highest (and lowest) levels of pain-related activity interference were less likely to volunteer than those with moderate activity limitations, however.

CONCLUSIONS

Those individuals volunteering to participate in a group-format self-care intervention in a primary care setting differed from nonvolunteers primarily on demographic measures as opposed to clinical measures. Back pain patients experiencing the highest levels of activity limitations were somewhat less likely to participate than those with moderate activity limitations. Recruitment for effective self-care interventions is an important issue in determining their impact on a population basis.

Prediction of physician visits and prescription medicine use for back pain

The primary purpose of this study was to examine the extent to which specific patient attitudes and beliefs about medical care and self-care for back pain predict future healthcare use. An automated database allowed examination of the predictive relationships in two primary care patient samples. In general, beliefs that physicians should find a definitive cause and permanent cure for back pain predicted neither physician visits nor prescription medication fills. Patient attitudes endorsing the benefits of medical treatment for back pain (as opposed to a permanent cure) predicted the use of these specific healthcare services. In a third sample of primary care back pain patients, we assessed whether a four-session self-care intervention modified those attitudes and beliefs shown to predict future healthcare use. The group intervention was associated with changes in attitudes about use of physician services but not medication use. A secondary purpose was to examine initial psychometric properties of a proposed back pain Self-Care Orientation Scale made up of the original 11 items. Factor analyses of the item set yielded three factors, but inconclusive results; the internal consistency of the identified sub-scales was only moderate. However, findings that a subset of items predicted physician visits and prescriptions medication fills, and was sensitive to change following a self-care intervention, suggest avenues for improving measurement of self-care orientation. These findings help clarify specific patient attitudes and beliefs that are related to healthcare utilization and suggest that a subset of these beliefs can be modified through a brief educational intervention.

Achieving guidelines for the treatment of depression in primary care: is physician education enough?

OBJECTIVES

The authors examine whether physician education has enduring effects on treatment of depression.

METHODS

Depressed primary care patients initiating antidepressant treatment from primary care clinics of a staff-model health maintenance organization were studied. Quasi-experimental and before-and-after comparisons of physician practices, supplemented with patient surveys, were used to compare the process of care and depression outcomes. Intervention consisted of extensive physician education that spanned a 12-month period. This included case-by-case consultations, didactics, academic detailing (eg, clearly stating the educational and behavioral objectives to individual physicians), and role-play of optimal treatment. Main outcome measures were divided into two groups. Quasi-experimental samples included: (1) antidepressant medication selection and (2) adequacy (dosage and duration) of pharmacotherapy. Survey samples included: (3) intensity of follow-up; (4) physician delivered educational messages regarding depression treatment; (5) patient satisfaction; and (6) depression outcomes.

RESULTS

No lasting educational effect was observed consistently in any of the outcomes measured.

CONCLUSIONS

There was no enduring improvement in the treatment of depression for primary care patients. Depression treatment guidelines were achieved contemporaneously, however, for intervention patients enrolled in a multifaceted program of collaborative care during the training period. These results suggest that continuing programs of reorganized service delivery to support the role of a primary care physician (eg, on-site mental health personnel, close monitoring of patient progress and adherence), in addition to physician training, are essential for the success of guideline implementation.

The impact of smoking and quitting on health care use

BACKGROUND

The magnitude and timing of the impact of effects of smoking cessation on inpatient and outpatient health care use are uncertain.

METHODS

Comparison of the use of outpatient and hospital services over time of 2440 persistent smokers and 244 biochemically verified quitters, all of whom were participants in two independent randomized trials of smoking cessation interventions.

RESULTS

Continued smokers in both trials experienced a 7% to 15% increase in outpatient visits and a 30% to 45% increase in hospital admissions over 5 to 6 years of follow-up. The positive slopes approached or reached statistical significance for all use variables in both trial populations. Among quitters, all health care use rates significantly increased during the year in which they quit; after that, the rates declined progressively. By the fourth year after quitting, all use rates among quitters were lower than those for smokers. The increase in hospitalizations during the year of quitting was more often a cause rather than a consequence of successful smoking cessation.

CONCLUSION

Successful smoking cessation appears to halt the progressive increase in the use of health services associated with continued smoking within a 4-year period.

Chronic pain and use of ambulatory health care

Chronic pain status and health care utilization were assessed in a probability sample of 1016 adult HMO enrollees, and among 242 HMO enrollees seeking treatment for Temporomandibular Disorder (TMD) pain. Likelihood of health care contact for a painful symptom: Among persons reporting back pain, headache, chest pain, abdominal pain or temporomandibular pain in the prior six months, we evaluated whether (1) pain characteristics (severity, persistence, recency of onset), and (2) psychological distress were associated with the likelihood of recent use of health care for each pain symptom. Severity, persistence, and recency of onset of pain were generally associated with recent health care contact for a pain symptom. Females with a pain symptom were no more likely than males to report recent health care contact for the symptom after controlling for pain characteristics. The presence of psychological distress did not increase the likelihood of health care contact for individual pain symptoms. However, psychologically distressed persons were more likely to report pain at multiple anatomical sites and to report recent health care contact for one or more of the five pain symptoms (as a group). Chronic pain status and total use of ambulatory health care: Total number of health care visits (irrespective of reason for visit) was measured by automated data. Chronic pain status (summarized across all five anatomical sites) showed a modest correlation with the volume of health care use. Persons with recurrent pain and severe-persistent pain with no pain-related disability days used ambulatory care at rates close to population means. Persons with severe-persistent pain and seven or more pain related disability days used health care at rates substantially above population means. There was a statistically significant association between the volume of health care use and chronic pain after controlling for age, sex, self-rated health status, and psychological distress.

Participation in a smoking cessation program: a population-based perspective

We examined factors associated with participation in an HMO-based, self-help smoking cessation trial by comparing participants with nonparticipating smokers who responded to a prior health survey. Recruitment to the trial was accomplished through the HMO's monthly magazine sent to all enrollee households, and the health survey involved a random sample of the enrollee population. Participants were more likely to be female, older, better educated, and heavier smokers with more attempts to quit in the past. Participants consistently reported poorer levels of health status (self-perceived health and energy, life satisfaction, depression, and symptoms), less healthy lifestyles (exercise and dietary fat), and a greater conviction that smoking cessation would improve how they feel than nonparticipants. These findings confirm previous suggestions that formal cessation programs attract those with a more extensive history of addiction, prior failure, and pathophysiologic effects and may provide clues to increasing motivation among smokers with a greater likelihood of treatment success.