Intentions to Use Cannabis Postpartum: A Qualitative Study of Pregnant Individuals Who Used Cannabis During Early Pregnancy.

Objective: To examine plans for postpartum cannabis use among pregnant individuals who used cannabis during early pregnancy. Materials and Methods: Eighteen virtual focus groups were conducted from November 17, 2021, to December 17, 2021, with 23 Black and 30 White pregnant adults in Kaiser Permanente Northern California, who self-reported prenatal cannabis use during early pregnancy. Focus groups were recorded, transcribed, and analyzed using thematic analysis. Results: The sample (N = 53) had a mean age of 30.3 years (standard deviation = 5.2) at recruitment; 70% reported daily, 25% weekly, and 6% ≤ monthly cannabis use at entrance to prenatal care. Some participants viewed cannabis as critical for coping with postpartum mental and physical health challenges, while others questioned whether cannabis use would fit with their parental lifestyle, and some planned to abstain altogether. Most planned to use cannabis postpartum, but with lower frequency than before pregnancy, and in ways consistent with harm reduction (e.g., smoking outside to avoid secondhand or thirdhand smoke exposure). Many were motivated to abstain from cannabis while breastfeeding, and some desired more data on the safety of cannabis and breastfeeding, or intended to "pump and dump," believing it would reduce potential transfer of Δ9-tetrahydrocannabinol (THC) to their infant. Responses from Black and White participants were generally similar, but White participants were more likely to report plans to use cannabis while breastfeeding and to want information about cannabis and breastfeeding. Conclusions: Pregnant individuals with prenatal cannabis use had varied plans for cannabis use postpartum. Many were motivated to abstain or use cannabis less frequently than pre-pregnancy, especially during lactation.

Exploring preferences for different modes of cannabis use during early pregnancy: A qualitative study.

OBJECTIVE: Rates of prenatal cannabis use are rising, yet little is known about modes of cannabis use during pregnancy. This focus group study with pregnant individuals aimed to examine use patterns and perceptions regarding common modes of prenatal cannabis use. METHOD: Kaiser Permanente Northern California pregnant adult patients who identified as White or Black and self-reported cannabis use during pregnancy were recruited to participate (N = 53; 40% Black, 60% White; Meanage = 30.3, SD = 5.2). Eighteen focus groups with race-concordant facilitators followed a semi-structured format that queried participants on their prenatal cannabis use, including preferred modes of use (e.g., vapes, blunts, dabs, joints, edibles, topicals, pipes). Focus group discussions were coded and analyzed using a general inductive approach. RESULTS: A range of modes were preferred, with no single mode predominant. Participants' preferences aligned with four themes: perceived effects and benefits of cannabis, health and safety, convenience and familiarity, and partner and friend influences. Participants sought modes that were accessible and familiar, provided consistent and quick relief for pregnancy-related symptoms, were aligned with partners or friends, and minimized perceived risks while also providing symptom relief. Participants desired evidence-based information about mode safety to better inform mode selection during pregnancy. CONCLUSIONS: A range of personal and social factors influenced mode preferences during pregnancy. Many participants desired to reduce harms and use cannabis more safely in pregnancy but received little mode-specific information to guide these preferences. Further research identifying mode-specific risks is needed to guide harm reduction approaches during pregnancy.

Patterns of Substance Use During Early Pregnancy and Associations With Behavioral Health Characteristics.

OBJECTIVES: The aims of the study are to identify patterns of early pregnancy substance use and to examine how these patterns relate to behavioral health conditions measured in early pregnancy. METHODS: We conducted a retrospective observational study (N= 265,274 pregnancies) screened for alcohol, cannabis, nicotine, pharmaceutical opioids, and stimulants during the first trimester via self-report and urine toxicology tests in Kaiser Permanente Northern California from January 1, 2012, to December 31, 2019. To identify patterns of prenatal substance use, we conducted latent class analysis. We then calculated the prevalence of depression, anxiety, intimate partner violence, and family drug use history for each prenatal substance use group and compared the prevalences by estimating prevalence ratios using modified Poisson regression, adjusting for sociodemographic characteristics. RESULTS: We identified the following 4 latent groups with different patterns of substance use: ( a ) predominantly alcohol and no other substances (9.30%), ( b ) predominantly cannabis and no other substances (4.88%), ( c ) predominantly nicotine and some pharmaceutical opioids (1.09%), and ( d ) high-polysubstance (alcohol, cannabis, nicotine, and stimulants; 0.36%); these pregnancies were compared with ( e ) no prenatal substance use (84.37%). The prevalence of all behavioral health conditions was elevated in all prenatal substance use groups compared with the no substance use group. Furthermore, the prevalence of depressive and anxiety disorders, intimate partner violence and family drug use history were greater in the high-polysubstance cluster than the alcohol and cannabis clusters. CONCLUSIONS: Results highlight the importance of screening and interventions for all types of substance use during early pregnancy and suggest a particularly high need to prioritize targeting early interventions to pregnant and reproductive age individuals with polysubstance use.

Pregnant individual's lived experience of cannabis use during the COVID-19 pandemic: a qualitative study.

Introduction: Quantitative studies indicate that the COVID-19 pandemic has contributed to increased rates of prenatal cannabis use. However, little is known about how the pandemic has impacted cannabis use from the perspective of pregnant individuals themselves. Our objective was to characterize COVID-19-related changes in cannabis use among pregnant individuals who used cannabis during the pandemic. Methods: We conducted 18 focus groups (from 11/17/2021 to 12/17/2021) with Black and White pregnant individuals aged 18+ who self-reported prenatal cannabis use during universal screening at entrance to prenatal care (at ~8 weeks gestation) in Kaiser Permanente Northern California. Virtual focus groups were transcribed and analyzed using thematic analysis. Results: The sample of 53 pregnant individuals (23 Black, 30 White) was 30.3 years old (SD = 5.2) on average, and most (70%) self-reported daily versus weekly or monthly prenatal cannabis use. Major themes regarding the impact of the pandemic on cannabis use included increases in use (resulting from depression, anxiety, stress, boredom), and changes in social use (less sharing of smoked cannabis products), modes of use (from smoking to other modes due to respiratory concerns) and source (from storefront retailers to delivery). Conclusion: Coping with mental health symptoms and stress were identified drivers of perceived pandemic-related increases in prenatal cannabis use in 2021. Pregnant individuals adapted their use in ways consistent with public health recommendations to decrease social contact and reduce or quit smoking to mitigate COVID-19 transmission and harms. Proactive, mental health outreach for pregnant individuals during future pandemic waves may reduce prenatal cannabis use.

Trends in Cannabis Polysubstance Use During Early Pregnancy Among Patients in a Large Health Care System in Northern California.

Importance: Rates of prenatal cannabis use are increasing alongside perceptions that cannabis is a harmless therapeutic for pregnancy-related ailments, while rates of prenatal use of alcohol and tobacco are decreasing. It is important to examine whether cannabis use during pregnancy is increasing similarly among patients with and patients without co-occurring substance use. Objectives: To examine trends in cannabis polysubstance use during pregnancy and to test differences in cannabis use over time among pregnant individuals who use only cannabis vs those who use cannabis and other substances. Design, Setting, and Participants: This cross-sectional time-series study used data from 367 138 pregnancies among 281 590 unique pregnant patients universally screened for prenatal substance use as part of standard care in Kaiser Permanente Northern California from January 1, 2009, to December 31, 2018. Statistical analysis was performed from October 5, 2021, to April 18, 2022. Exposures: Time (calendar year). Main Outcomes and Measures: Use of substances during early pregnancy was assessed via universal screening with a self-administered questionnaire (for cannabis, alcohol, stimulants, and nicotine) and/or positive results of a urine toxicology test (for cannabis, alcohol, stimulants, and pharmaceutical opioids), and data were extracted from the electronic health record. Results: The study sample of 367 138 pregnancies from 281 590 unique pregnant patients (median gestation at time of screening, 8.6 weeks [IQR, 7.3-10.6 weeks]) was 25.9% Asian or Pacific Islander, 6.6% Black, 25.8% Hispanic, 38.0% non-Hispanic White, and 3.6% other race or ethnicity; 1.1% were aged 11 to 17 years, 14.9% were aged 18 to 24 years, 61.9% were aged 25 to 34 years, and 22.1% were aged 35 years or older; and the median neighborhood household income was $70 455 (IQR, $51 563-$92 625). From 2009 to 2018, adjusted rates of use of only cannabis during pregnancy (no other substances) increased substantially from 2.39% (95% CI, 2.20%-2.58%) in 2009 to 6.30% (95% CI, 6.00%-6.60%) in 2018, increasing at an annual relative rate of 1.11 (95% CI, 1.10-1.12). The rate of use of cannabis and 1 other substance also increased (annual relative rate, 1.04 [95% CI, 1.03-1.05]), but not as rapidly (P < .001 for difference), while the rate of use of cannabis and 2 or more other substances decreased slightly (annual relative rate, 0.97 [95% CI, 0.96-0.99]). Adjusted rates of prenatal use of cannabis and alcohol (1.04 [95% CI, 1.03-1.06]) and cannabis and stimulants (1.03 [95% CI, 1.01-1.06]) increased over time, while rates of prenatal use of cannabis and nicotine (0.97 [95% CI, 0.96-0.98]) decreased. Conclusions and Relevance: In this cross-sectional time-series study, rates of prenatal cannabis use during early pregnancy increased significantly more rapidly among patients without co-occurring substance use, which could reflect increased acceptability of cannabis and decreased perceptions of cannabis-related harms. Furthermore, increased rates of use of cannabis with alcohol and stimulants warrant continued monitoring.

Modes of cannabis administration in the year prior to conception among patients in Northern California.

Cannabis use among individuals before and during pregnancy is increasing alongside the proliferation of new products with various modes of administration. Preconception cannabis use is a strong predictor of prenatal cannabis use. Yet little is known about how individuals administer cannabis during the preconception period, particularly in socioeconomically vulnerable populations. This study examined the prevalence and correlates of modes of cannabis administration (smoke, vape, blunts, edible/oral, dabs/wax, lotion/topical) during the year before conception, among patients who self-reported preconception cannabis use during universal screening in prenatal care. Descriptive statistics included sociodemographic characteristics, preconception cannabis use frequency, and modes of administration. Chi-square tests examined whether mode was associated with sociodemographic characteristics and use frequency. The sample (N = 11,936, screened from February 2020-May 2021) was 59.8% non-White and 26.1% were < 26 years old; 50.7% reported monthly or less, 21.8% weekly, and 27.4% daily preconception cannabis use; 69.7% smoked (any method), 34.5% smoked blunts, 53.4% used edibles/oral, 28.2% vaped, 9.9% used lotion/topical; 54.2% reported 1 mode, 30.4% reported 2 modes, 15.4% reported 3+ modes. Smoking was more common among daily users, younger patients, those with greater neighborhood deprivation, and Black and Hispanic patients, while edibles/oral were more common among ≤ monthly users, older patients, those with less neighborhood deprivation, and Asian patients. Use of other modes also varied by sociodemographic characteristics and use frequency. Research is needed to understand preconception cannabis use in vulnerable subpopulations, continuation of use during pregnancy, and whether health risks associated with preconception and prenatal cannabis use differ by administration mode.

Nicotine and cannabis vaping among adolescents in treatment for substance use disorders.

This study examined nicotine and cannabis vaping among adolescents in treatment for substance use disorders. Participants were 363 adolescents aged 12-17 (66% male, mean age = 15.5 [SD = 1.3], 46% non-Hispanic white) seen for a specialty addiction intake evaluation between 2017 and 2019 at one of six medical offices of a large, integrated health care system in Northern California. Multivariable logistic regression models tested for associations of sociodemographics, cigarette smoking, and substance use disorders with vaping behaviors. A majority of adolescents reported ever (68%) or current vaping (60%) of nicotine and/or cannabis; current vaping was similar for nicotine (50%) and cannabis (51%); 40% reported current vaping of both. Current smokers (6% of the sample) had higher odds of ever vaping (aOR = 3.95, 95%CI: 1.04-14.95). Black (versus non-Hispanic white) adolescents had lower odds of current nicotine vaping (aOR = 0.08, 95%CI: 0.02-0.37) and current vaping of both nicotine and cannabis (aOR = 0.12, 95%CI: 0.03-0.60). Having an alcohol use disorder was associated with current vaping (aOR = 2.14, 95%CI: 1.06-4.33). Those who endorsed that most friends get drunk/high (aOR = 1.87, 95%CI: 1.02-3.42) or that cannabis was their substance of choice (aOR = 2.36, 95%CI: 1.16-4.81) had higher odds of current cannabis vaping. Higher neighborhood household income ($80,000-$120,000 and >$120,000 vs. <$80,000, aORs = 2.05-9.48), never versus ever blunt use (aORs = 2.47-8.68), and intakes in 2018 and 2019 versus 2017 (aORs = 2.18-5.38) were associated with higher odds of all vaping outcomes. Vaping was common among adolescents in addiction treatment and varied with sociodemographics and substance-related factors. Research should assess how vaping impacts the development of substance use disorders and whether it interferes with addiction treatment.

Trends and correlates of self-reported alcohol and nicotine use among women before and during pregnancy, 2009-2017.

OBJECTIVE: To examine trends and correlates of frequency of self-reported alcohol and nicotine use among pregnant women. METHODS: Cross-sectional study of 363,240 pregnancies from 2009 to 2017 screened for self-reported substance use at their first prenatal visit in Kaiser Permanente Northern California. Poisson regression with a log link function was used to estimate the annual prevalences of self-reported daily, weekly, and ≤ monthly alcohol and nicotine use, adjusting for socio-demographics. Generalized estimating equation models were used to estimate the adjusted odds ratios (aOR) of any self-reported prenatal alcohol or nicotine use among those who self-reported use in the year prior to pregnancy, by frequency of pre-pregnancy substance use and socio-demographics. RESULTS: The sample was 64 % non-White [mean (SD) age = 30.1 (5.6)]. From 2009-2017, alcohol use before pregnancy increased from 63.4%-65.9% (trend p-value = .008), and prenatal alcohol use decreased from 11.6%-8.8% (trend p-value<.0001). Nicotine use before pregnancy decreased from 12.7 % to 7.7 % (trend p-value<.0001), and prenatal use decreased from 4.3 % to 2.0 % (trend p-value<.0001). Trends by use frequency were similar to overall trends. The odds of continued use of alcohol and nicotine during pregnancy were higher among those who used daily or weekly (versus monthly or less) in the year before pregnancy and varied with socio-demographics. DISCUSSION: Prenatal alcohol and nicotine use decreased from 2009 to 2017. More frequent pre-pregnancy use predicted higher odds of prenatal use. Results suggest that interventions and education about the harms of prenatal substance use for frequent users prior to conception may reduce substance use during pregnancy.

Routes of cannabis administration among females in the year before and during pregnancy: Results from a pilot project.

Use of cannabis during pregnancy is on the rise, yet little is known about how women administer cannabis during the perinatal period. This study examined self-reported modes of cannabis administration among women in the year before and during pregnancy, and their association with self-reported cannabis use frequency using data from 585 women screened in 2018-2019 for cannabis use during standard prenatal care in two medical centers in Northern California. The prevalence of cannabis use was 12% before pregnancy and 3% during pregnancy. Among the 71 women who reported cannabis use before pregnancy and the 19 women who reported cannabis use during pregnancy, smoking was the most common mode of administration (58% and 42%), followed by edibles (27% and 16%), vaping (23% and 16%), lotions (11% and 5%), and other (10% and 0%). In the year before pregnancy and during pregnancy, monthly or less use was most common (56% and 58%), followed by weekly use (24% and 26%) and daily use (20% and 16%). Among cannabis users, 43% used more than one mode before pregnancy compared to 15% during pregnancy. Daily cannabis use was most common among women who reported smoking only or smoking in combination with other modes. These novel results indicate that while smoking is the most common mode of cannabis administration during the perinatal period, there is variation in use and co-use of alternative modes. Future studies are needed to understand the relative health effects associated with individual and combined modes of cannabis administration during pregnancy.

Disparities in knowledge and use of tobacco treatment among smokers in California following healthcare reform.

The Affordable Care Act (ACA) promised to narrow smoking disparities by expanding access to healthcare and mandating comprehensive coverage for tobacco treatment starting in 2014. We examined whether two years after ACA implementation disparities in receiving clinician advice to quit and smokers' knowledge and use of treatment resources remained. We conducted telephone interviews in 2016 with a stratified random sample of self-reported smokers newly enrolled in the Kaiser Permanente Northern California's (KPNC) integrated healthcare delivery system in 2014 (N = 491; 50% female; 53% non-white; 6% Spanish language). We used Poisson regression with robust standard errors to test whether sociodemographics, insurance type, comorbidities, smoking status in 2016 (former, light/nondaily [<5 cigarettes per day], daily), and preferred language (English or Spanish) were associated with receiving clinician advice to quit and knowledge and use of tobacco treatment. We included an interaction between smoking status and language to test whether the relation between smoking status and key outcomes varied with preferred language. Overall, 80% of respondents received clinician advice to quit, 84% knew that KPNC offers cessation counseling, 54% knew that cessation pharmacotherapy is free, 54% used pharmacotherapy, and 6% used counseling. In multivariate models, Spanish-speaking light/nondaily smokers had significantly lower rates of all outcomes, while there was no association with other demographic and clinical characteristics. Following ACA implementation, most smokers newly enrolled in KPNC received clinician advice to quit and over half used pharmacotherapy, yet counseling utilization was low. Spanish-language outreach efforts and treatment services are recommended, particularly for adults who are light/nondaily smokers.

Evaluation of a Pilot Perioperative Smoking Cessation Program: A Pre-Post Study.

BACKGROUND: Surgical clinic and perioperative settings are critical touchpoints for treating smoking, yet health care systems have not typically prioritized smoking cessation among surgical patients. We evaluated the implementation of a pilot smoking cessation intervention integrated into standard perioperative care. MATERIALS AND METHODS: English-speaking adult smokers undergoing elective surgery in Kaiser Permanente San Francisco before (2015) and after (2016-2017) the implementation of a smoking cessation intervention were included. Provider outcomes included counseling referrals, cessation medication orders (between surgery scheduling and surgery), and preoperative carbon monoxide testing. Patient outcomes included counseling and medication use, smoking status at surgery and 30 d after discharge, and surgical complications. Multivariable logistic regression analyses examined pre-to-post intervention changes in outcomes using electronic health record data and 30-d postdischarge telephone surveys. RESULTS: The sample included 276 patients (70% male; 59% non-Hispanic white; mean age = 50 y). There were significant pre-to-post increases in tobacco cessation counseling referrals (3% to 28%, adjusted odds ratio [AOR] = 11.12, 95% confidence interval [CI] = 3.78-32.71) and preoperative carbon monoxide testing (38% to 50%, AOR = 1.83, 95% CI = 1.10-3.06). At ∼30 d after discharge, patients in the postintervention period were more likely to report smoking abstinence in the previous 7 d (24% pre, 44% post; AOR = 2.39, 95% CI = 1.11-5.13) and since hospital discharge (18% pre, 39% post; AOR = 3.20, 95% CI = 1.42-7.23). Cessation medication orders and patient use of counseling and medications increased, whereas surgical complications decreased, but pre-to-post differences were not significant. CONCLUSIONS: A perioperative smoking cessation program integrated into standard care demonstrated positive smoking-related outcomes; however, larger studies are needed to evaluate the effectiveness of these programs.

Evaluating the Impact of Eliminating Copayments for Tobacco Cessation Pharmacotherapy.

OBJECTIVES: We examined the impact of the Affordable Care Act-mandated elimination of tobacco cessation pharmacotherapy (TCP) copayments on patient use of TCP, overall and by income. METHODS: Electronic health record data captured any and combination (eg, nicotine gum plus patch) TCP use among adult smokers newly enrolled in Kaiser Permanente Northern California (KPNC). KPNC eliminated TCP copayments in 2015. We included current smokers newly enrolled in the first 6 months of 2014 (before copayment elimination, N=16,199) or 2015 (after elimination, N=16,469). Multivariable models estimated 1-year changes in rates of any TCP fill, and of combination TCP fill, and tested for differences by income (<$50k, $50≥75k, ≥$75k). Through telephone surveys in 2016 with a subset of smokers newly enrolled in 2014 (n=306), we assessed barriers to TCP use, with results stratified by income. RESULTS: Smokers enrolled in KPNC in 2015 versus 2014 were more likely to have a TCP fill (9.1% vs. 8.2%; relative risk, 1.19; 95% confidence interval, 1.11-1.27), and combination TCP fill, among those with any fill (42.3% vs. 37.9%; relative risk, 1.12; 95% confidence interval, 1.02-1.23); findings were stronger for low-income smokers. Low-income patients (<$50k) were less likely to report that clinicians discussed smoking treatments with them (58%) compared with higher income smokers ($50≥75k, 67%; ≥$75k, 83%), and were less aware that TCP was free (40% vs. 53% and 69%, respectively, P-values<0.05). CONCLUSIONS: The Affordable Care Act's copayment elimination was associated with a modest increase in TCP use and a greater effect among low-income smokers. Uptake may have been enhanced if promoted to patients directly and via providers.

Influence of a New Diabetes Diagnosis on the Health Behaviors of the Patient's Partner.

PURPOSE: When a person is given a diagnosis of diabetes, the changes in his or her health behaviors may influence the behaviors of his or her partner. The diabetes diagnosis may affect household members' perceptions of their own health risks, which could trigger behavioral change. The purpose of this study was to assess whether partners of persons with newly diagnosed diabetes changed their health behaviors compared with partners of persons without diabetes. METHODS: The study population consisted of Kaiser Permanente Northern California health plan members from 2007 to 2011. This cohort study assessed differences in change of 8 health behaviors. The study compared coresiding partners of persons with newly diagnosed diabetes before and after a diabetes diagnosis with a 5 to 1 matched sample of coresiding partners of persons without diabetes. RESULTS: A total of 180,910 couples were included in the analysis. After adjusting for baseline characteristics, partners of persons with newly diagnosed diabetes had significantly higher rates of participation in weight management-related health education classes (risk ratio [RR] = 1.50; 95% CI, 1.39-1.63); smoking cessation medication use (RR = 1.25; 95% CI, 1.05-1.50); glucose screening (RR = 1.07; 95% CI, 1.05-1.08); clinically meaningful weight loss (RR = 1.06; 95% CI, 1.02-1.11); lipid screening (RR = 1.05; 95% CI, 1.04-1.07); influenza vaccination (RR = 1.03; 95% CI, 1.02-1.04); and blood pressure screening (RR = 1.02; 95% CI, 1.02-1.03) compared with partners of persons without diabetes. CONCLUSIONS: There were small but significant differences in health-related behavioral changes among partners of persons with newly diagnosed diabetes compared with partners of persons without diabetes, even when no intervention occurred. This finding suggests a diabetes diagnosis within a family may be a teachable moment to improve health behaviors at the household level.

Personal and clinical social support and adherence to adjuvant endocrine therapy among hormone receptor-positive breast cancer patients in an integrated health care system.

PURPOSE: We evaluated associations between personal and clinical social support and non-adherence to adjuvant endocrine therapy (AET) in a large, Northern California breast cancer (BC) cohort from an integrated healthcare network. METHODS: This study included 3382 women from the Pathways Study diagnosed from 2005 to 2013 with stages I-III hormone receptor-positive BC and who responded to the Medical Outcomes Study Social Support and Interpersonal Processes of Care surveys, approximately 2 months post-diagnosis. We used logistic regression to evaluate associations between tertiles of social support and non-initiation (< 2 consecutive prescription fills within a year after diagnosis). Among those who initiated treatment, we used proportional hazards regression to evaluate associations with discontinuation (≥ 90 day gap) and non-adherence (< 80% medical possession ratio). RESULTS: Of those who initiated AET (79%), approximately one-fourth either discontinued AET or were non-adherent. AET non-initiation was more likely in women with moderate (adjusted OR 1.18, 95% CI 0.96-1.46) or low (OR 1.30, 95% CI 1.05-1.62) versus high personal social support (P trend = 0.02). Women with moderate (HR 1.20, 95% CI 0.99-1.45) or low (HR 1.32, 95% CI 1.09-1.60) personal social support were also more likely to discontinue treatment (P trend = 0.01). Furthermore, women with moderate (HR 1.25, 95% CI 1.02-1.53) or low (HR 1.38, 95% CI 1.12-1.70) personal social support had higher non-adherence (P trend = 0.007). Associations with clinical social support and outcomes were similar. Notably, high clinical social support mitigated the risk of discontinuation when patients' personal support was moderate or low (P value = 0.04). CONCLUSIONS: Women with low personal or clinical social support had higher AET non-adherence. Clinician teams may need to fill support gaps that compromise treatment adherence.

Telephone-Based Coaching.

PURPOSE: Many Americans continue to smoke, increasing their risk of disease and premature death. Both telephone-based counseling and in-person tobacco cessation classes may improve access for smokers seeking convenient support to quit. Little research has assessed whether such programs are effective in real-world clinical populations. DESIGN: Retrospective cohort study comparing wellness coaching participants with two groups of controls. SETTING: Kaiser Permanente Northern California, a large integrated health care delivery system. SUBJECTS: Two hundred forty-one patients who participated in telephonic tobacco cessation coaching from January 1, 2011, to March 31, 2012, and two control groups: propensity-score-matched controls, and controls who participated in a tobacco cessation class during the same period. Wellness coaching participants received an average of two motivational interviewing-based coaching sessions that engaged the patient, evoked their reason to consider quitting, and helped them establish a quit plan. MEASURES: Self-reported quitting of tobacco and fills of tobacco cessation medications within 12 months of follow-up. ANALYSIS: Logistic regressions adjusting for age, gender, race/ethnicity, and primary language. RESULTS: After adjusting for confounders, tobacco quit rates were higher among coaching participants vs. matched controls (31% vs. 23%, p < .001) and comparable to those of class attendees (31% vs. 29%, p = .28). Coaching participants and class attendees filled tobacco-cessation prescriptions at a higher rate (47% for both) than matched controls (6%, p < .001). CONCLUSION: Telephonic wellness coaching was as effective as in-person classes and was associated with higher rates of quitting compared to no treatment. The telephonic modality may increase convenience and scalability for health care systems looking to reduce tobacco use and improve health.

Employer-Based Screening for Diabetes and Prediabetes in an Integrated Health Care Delivery System: A Natural Experiment for Translation in Diabetes (NEXT-D) Study.

OBJECTIVE: This study evaluates an employer-based diabetes/prediabetes screening intervention that invited at-risk employees via letters, secure e-mails, and automated voice messages to complete blood glucose testing at a health plan facility. METHODS: Quasi-experimental cohort study among health plan members insured by two employers that received the intervention and three employers that were selected as control sites. RESULTS: The proportion of at-risk members that completed a screening was higher in the intervention group than in the control group (36% vs 13%, P < 0.001, adjusted for patient characteristics). Among those screened in the intervention group, the presence of obesity, hypertension, hyperlipidemia, and tobacco use were significant predictors of having a result that indicated diabetes or prediabetes (P < 0.05, all comparisons). CONCLUSIONS: A low-intensity, employer-based intervention conducted in collaboration with a health care delivery system effectively increased screening for diabetes/prediabetes.

Patient satisfaction and perceived success with a telephonic health coaching program: the Natural Experiments for Translation in Diabetes (NEXT-D) Study, Northern California, 2011.

INTRODUCTION: Health coaching can improve lifestyle behaviors known to prevent or manage chronic conditions such as diabetes. However, little is known about the patient experience with telephonic coaching programs in real-world care settings. We examined patient satisfaction, patient's perceived success in achieving program goals, and the patient-level correlates of these outcomes in a voluntary telephonic coaching program at a large integrated health care delivery system in northern California. METHODS: Kaiser Permanente Northern California patients who participated in a telephonic coaching program in 2011 were sent a cross-sectional survey about their satisfaction with health coaching and perceived success with program goals. We examined associations with patient characteristics. RESULTS: The survey response rate was 34%; analyses were based on the 32% who completed the survey. Of those who had completed 2 or more sessions (n = 232 [52%]), most reported being satisfied (70%) or neutral (20%) with the program, and 71% would recommend health coaching. Healthy weight, healthful eating, and physical activity were the most common topics discussed (88%). Adjusting for demographic characteristics, 73% of those who had 2 or more sessions reported that health coaching helped achieve their weight-related goal. Outcomes were positively correlated with patient activation but not consistently correlated with patient demographic characteristics. CONCLUSION: Levels of satisfaction and perceived success with telephonic health coaching provided by a health plan were high and positively correlated with the number of sessions completed and patient activation. Voluntary telephonic health coaching programs should promote retention and assess patients' activation levels.

Screening for impaired fasting glucose and diabetes using available health plan data.

AIMS: To develop and validate prediction equations to identify individuals at high risk for type 2 diabetes using existing health plan data. METHODS: Health plan data from 2005 to 2009 from 18,527 members of a Midwestern HMO without diabetes, 6% of whom had fasting plasma glucose (FPG) ≥110mg/dL, and health plan data from 2005 to 2006 from 368,025 members of a West Coast-integrated delivery system without diabetes, 13% of whom had FPG ≥110mg/dL were analyzed. Within each health plan, we used multiple logistic regression to develop equations to predict FPG ≥110mg/dL for half of the population and validated the equations using the other half. We then externally validated the equations in the other health plan. RESULTS: Areas under the curve for the most parsimonious equations were 0.665 to 0.729 when validated internally. Positive predictive values were 14% to 32% when validated internally and 14% to 29% when validated externally. CONCLUSION: Multivariate logistic regression equations can be applied to existing health plan data to efficiently identify persons at higher risk for dysglycemia who might benefit from definitive diagnostic testing and interventions to prevent or treat diabetes.