Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening.

BACKGROUND: Patients and their loved ones often report symptoms or complaints of cognitive decline that clinicians note in free clinical text, but no structured screening or diagnostic data are recorded. These symptoms/complaints may be signals that predict who will go on to be diagnosed with mild cognitive impairment (MCI) and ultimately develop Alzheimer's Disease or related dementias. Our objective was to develop a natural language processing system and prediction model for identification of MCI from clinical text in the absence of screening or other structured diagnostic information. METHODS: There were two populations of patients: 1794 participants in the Adult Changes in Thought (ACT) study and 2391 patients in the general population of Kaiser Permanente Washington. All individuals had standardized cognitive assessment scores. We excluded patients with a diagnosis of Alzheimer's Disease, Dementia or use of donepezil. We manually annotated 10,391 clinic notes to train the NLP model. Standard Python code was used to extract phrases from notes and map each phrase to a cognitive functioning concept. Concepts derived from the NLP system were used to predict future MCI. The prediction model was trained on the ACT cohort and 60% of the general population cohort with 40% withheld for validation. We used a least absolute shrinkage and selection operator logistic regression approach (LASSO) to fit a prediction model with MCI as the prediction target. Using the predicted case status from the LASSO model and known MCI from standardized scores, we constructed receiver operating curves to measure model performance. RESULTS: Chart abstraction identified 42 MCI concepts. Prediction model performance in the validation data set was modest with an area under the curve of 0.67. Setting the cutoff for correct classification at 0.60, the classifier yielded sensitivity of 1.7%, specificity of 99.7%, PPV of 70% and NPV of 70.5% in the validation cohort. DISCUSSION AND CONCLUSION: Although the sensitivity of the machine learning model was poor, negative predictive value was high, an important characteristic of models used for population-based screening. While an AUC of 0.67 is generally considered moderate performance, it is also comparable to several tests that are widely used in clinical practice.

Estimation of Benefits, Burden, and Harms of Colorectal Cancer Screening Strategies: Modeling Study for the US Preventive Services Task Force.

IMPORTANCE: The US Preventive Services Task Force (USPSTF) is updating its 2008 colorectal cancer (CRC) screening recommendations. OBJECTIVE: To inform the USPSTF by modeling the benefits, burden, and harms of CRC screening strategies; estimating the optimal ages to begin and end screening; and identifying a set of model-recommendable strategies that provide similar life-years gained (LYG) and a comparable balance between LYG and screening burden. DESIGN, SETTING, AND PARTICIPANTS: Comparative modeling with 3 microsimulation models of a hypothetical cohort of previously unscreened US 40-year-olds with no prior CRC diagnosis. EXPOSURES: Screening with sensitive guaiac-based fecal occult blood testing, fecal immunochemical testing (FIT), multitarget stool DNA testing, flexible sigmoidoscopy with or without stool testing, computed tomographic colonography (CTC), or colonoscopy starting at age 45, 50, or 55 years and ending at age 75, 80, or 85 years. Screening intervals varied by modality. Full adherence for all strategies was assumed. MAIN OUTCOMES AND MEASURES: Life-years gained compared with no screening (benefit), lifetime number of colonoscopies required (burden), lifetime number of colonoscopy complications (harms), and ratios of incremental burden and benefit (efficiency ratios) per 1000 40-year-olds. RESULTS: The screening strategies provided LYG in the range of 152 to 313 per 1000 40-year-olds. Lifetime colonoscopy burden per 1000 persons ranged from fewer than 900 (FIT every 3 years from ages 55-75 years) to more than 7500 (colonoscopy screening every 5 years from ages 45-85 years). Harm from screening was at most 23 complications per 1000 persons screened. Strategies with screening beginning at age 50 years generally provided more LYG as well as more additional LYG per additional colonoscopy than strategies with screening beginning at age 55 years. There were limited empirical data to support a start age of 45 years. For persons adequately screened up to age 75 years, additional screening yielded small increases in LYG relative to the increase in colonoscopy burden. With screening from ages 50 to 75 years, 4 strategies yielded a comparable balance of screening burden and similar LYG (median LYG per 1000 across the models): colonoscopy every 10 years (270 LYG); sigmoidoscopy every 10 years with annual FIT (256 LYG); CTC every 5 years (248 LYG); and annual FIT (244 LYG). CONCLUSIONS AND RELEVANCE: In this microsimulation modeling study of a previously unscreened population undergoing CRC screening that assumed 100% adherence, the strategies of colonoscopy every 10 years, annual FIT, sigmoidoscopy every 10 years with annual FIT, and CTC every 5 years performed from ages 50 through 75 years provided similar LYG and a comparable balance of benefit and screening burden.

Personalizing age of cancer screening cessation based on comorbid conditions: model estimates of harms and benefits.

BACKGROUND: Harms and benefits of cancer screening depend on age and comorbid conditions, but reliable estimates are lacking. OBJECTIVE: To estimate the harms and benefits of cancer screening by age and comorbid conditions to inform decisions about screening cessation. DESIGN: Collaborative modeling with 7 cancer simulation models and common data on average and comorbid condition level-specific life expectancy. SETTING: U.S. population. PATIENTS: U.S. cohorts aged 66 to 90 years in 2010 with average health or 1 of 4 comorbid condition levels: none, mild, moderate, or severe. INTERVENTION: Mammography, prostate-specific antigen testing, or fecal immunochemical testing. MEASUREMENTS: Lifetime cancer deaths prevented and life-years gained (benefits); false-positive test results and overdiagnosed cancer cases (harms). For each comorbid condition level, the age at which harms and benefits of screening were similar to that for persons with average health having screening at age 74 years. RESULTS: Screening 1000 women with average life expectancy at age 74 years for breast cancer resulted in 79 to 96 (range across models) false-positive results, 0.5 to 0.8 overdiagnosed cancer cases, and 0.7 to 0.9 prevented cancer deaths. Although absolute numbers of harms and benefits differed across cancer sites, the ages at which to cease screening were consistent across models and cancer sites. For persons with no, mild, moderate, and severe comorbid conditions, screening until ages 76, 74, 72, and 66 years, respectively, resulted in harms and benefits similar to average-health persons. LIMITATION: Comorbid conditions influenced only life expectancy. CONCLUSION: Comorbid conditions are an important determinant of harms and benefits of screening. Estimates of screening benefits and harms by comorbid condition can inform discussions between providers and patients about personalizing screening cessation decisions. PRIMARY FUNDING SOURCE: National Cancer Institute and Centers for Disease Control and Prevention.

Evaluation of the Safer Use of Antipsychotics in Youth Study on Population Level Antipsychotic Initiation: An Interrupted Time Series Analysis.

Background: Antipsychotics carry a higher-risk profile than other psychotropic medications and may be prescribed for youth with conditions in which other first-line treatments are more appropriate. This study aimed to evaluate the population-level effect of the Safer Use of Antipsychotics in Youth (SUAY) trial, which aimed to reduce person-days of antipsychotic use among participants. Methods: We conducted an interrupted time series analysis using segmented regression to measure changes in prescribing trends of antipsychotic initiation rates pre-SUAY and post-SUAY trial at four U.S. health systems between 2013 and 2020. Results: In our overall model, adjusted for age and insurance type, antipsychotic initiation rates decreased by 0.73 (95% confidence interval [CI]: 0.30, 1.16, p = 0.002) prescriptions per 10,000 person-months before the SUAY trial. In the first quarter following the start of the trial, there was an immediate decrease in the rate of antipsychotic initiations of 6.57 (95% CI: 0.99, 12.15) prescriptions per 10,000 person-months. When comparing the posttrial period to the pretrial period, there was an increase of 1.09 (95% CI: 0.32, 1.85) prescriptions per 10,000 person-months, but the increasing rate in the posttrial period alone was not statistically significant (0.36 prescriptions per 10,000 person-months, 95% CI: -0.27, 0.99). Conclusion: The declining trend of antipsychotic initiation seen between 2013 and 2018 (pre-SUAY trial) may have naturally reached a level at which prescribing was clinically warranted and appropriate, resulting in a floor effect. The COVID-19 pandemic, which began in the final three quarters of the posttrial period, may also be related to increased antipsychotic medication initiation.

STAR-Caregivers Virtual Training and Follow-up: a cultural adaptation for Latino caregivers of people with dementia.

STAR-Caregivers Virtual Training and Follow-up (STAR-VTF) is an evidence-based intervention that teaches family caregivers how to manage behavioral and psychological symptoms of dementia. The study objective was to identify what adaptations to STAR-VTF are needed to improve cultural relevance for Latino caregivers. A qualitative research study was conducted that interviewed Spanish- and English-speaking caregivers of people with dementia who self-identify as Hispanic/Latino (N = 30) and healthcare and social service providers of older Latino clients and/or Latino family caregivers (N = 14). Thematic analysis methods were applied to code and analyze interview transcripts. The codebook was theory-driven, relying mainly on codes that directly represented components of the Cultural Treatment Adaptation Framework. Based on the content of the excerpts, the codes were sorted into themes that represented opportunities to culturally adapt STAR-VTF. Three themes were identified: (i) there was a need to increase awareness about dementia and decrease stigma; (ii) semantics mattered as certain words and phrases could be stigmatizing, offensive, or culturally inappropriate; and (iii) there was a need to incorporate into program materials the traditional family structure and nature of caregiving in Latino families. Based on findings, adaptations were performed on STAR-VTF that included expanding content to improve understanding of dementia, revising language that was viewed as problematic, and adding cultural examples to reflect the range of family involvement in caring for people living with dementia and multigenerational living. Findings from this qualitative research study advance understanding of the Latino caregiver experience and how to modify programs to better serve their needs.

STAR-Caregivers Virtual Training and Follow-up (STAR-VTF) is an evidence-based intervention that teaches family caregivers how to manage behavioral and psychological symptoms of dementia. The study objective was to identify what adaptations to STAR-VTF are needed to improve cultural relevance for Latino caregivers. Thirty Spanish- and English-speaking caregivers of people living with dementia who self-identify as Hispanic/Latino and 14 providers of healthcare and social services were interviewed. Interview transcripts were analyzed using thematic analysis methods. The Cultural Treatment Adaptation Framework guided data collection and analysis. Three themes were identified: (i) there was a need to increase awareness about dementia and decrease stigma; (ii) semantics mattered as certain words and phrases could be stigmatizing, offensive, or culturally inappropriate; and (iii) there was a need to incorporate into program materials the traditional family structure and nature of caregiving in Latino families. Adaptations were performed on STAR-VTF, including expanding content to improve understanding of dementia, revising language that was viewed as problematic, and adding cultural examples to reflect the range of family involvement in caring for people living with dementia and multigenerational living. Findings from this study advance understanding of the Latino caregiver experience and how to modify programs to better serve their needs.

Randomized trial of depression follow-up care by online messaging.

BACKGROUND: Quality of antidepressant treatment remains disturbingly poor. Rates of medication adherence and follow-up contact are especially low in primary care, where most depression treatment begins. Telephone care management programs can address these gaps, but reliance on live contact makes such programs less available, less timely, and more expensive. OBJECTIVE: Evaluate the feasibility, acceptability, and effectiveness of a depression care management program delivered by online messaging through an electronic medical record. DESIGN: Randomized controlled trial comparing usual primary care treatment to primary care supported by online care management SETTING: Nine primary care clinics of an integrated health system in Washington state PARTICIPANTS: Two hundred and eight patients starting antidepressant treatment for depression. INTERVENTION: Three online care management contacts with a trained psychiatric nurse. Each contact included a structured assessment (severity of depression, medication adherence, side effects), algorithm-based feedback to the patient and treating physician, and as-needed facilitation of follow-up care. All communication occurred through secure, asynchronous messages within an electronic medical record. MAIN MEASURES: An online survey approximately five months after randomization assessed the primary outcome (depression severity according to the Symptom Checklist scale) and satisfaction with care, a secondary outcome. Additional secondary outcomes (antidepressant adherence and use of health services) were assessed using computerized medical records. KEY RESULTS: Patients offered the program had higher rates of antidepressant adherence (81% continued treatment more than 3 months vs. 61%, p = 0.001), lower Symptom Checklist depression scores after 5 months (0.95 vs. 1.17, p = 0.043), and greater satisfaction with depression treatment (53% "very satisfied" vs. 33%, p = 0.004). LIMITATIONS: The trial was conducted in one integrated health care system with a single care management nurse. Results apply only to patients using online messaging. CONCLUSIONS: Our findings suggest that organized follow-up care for depression can be delivered effectively and efficiently through online messaging.

Family Caregiver Needs and Preferences for Virtual Training to Manage Behavioral and Psychological Symptoms of Dementia: Interview Study.

BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) are associated with increased stress, burden, and depression among family caregivers of people with dementia. STAR-Caregivers Virtual Training and Follow-up (STAR-VTF) is adapted from an evidence-based, in-person program that trains family caregivers to manage BPSD. We used a human-centered design approach to obtain feedback from family caregivers about STAR-VTF. The program will be evaluated using a pragmatic randomized trial. OBJECTIVE: The objective of the study was to understand the needs of family caregivers for improving BPSD management and the extent to which caregivers perceived that STAR-VTF could address those needs. METHODS: Between July and September 2019, we conducted 15 semistructured interviews with family caregivers of people with dementia who receive care at Kaiser Permanente Washington in the Seattle metropolitan area. We identified participants from electronic health records, primarily based on a prescription for antipsychotic medication for the person with dementia (a proxy for caregivers dealing with BPSD). We showed caregivers low-fidelity prototypes of STAR-VTF online self-directed materials and verbally described potential design elements. We obtained caregiver feedback on these elements, focusing on their needs and preferences and perceived barriers to using STAR-VTF. We used a hybrid approach of inductive and deductive coding and aggregated codes to develop themes. RESULTS: The idea of a virtual training program for learning to manage BPSD appealed to caregivers. They said health care providers did not provide adequate education in the early disease stages about the personality and behavior symptoms that can affect people with dementia. Caregivers found it unexpected and frustrating when the person with dementia began experiencing BPSD, symptoms they felt unprepared to manage. Accordingly, caregivers expressed a strong desire for the health care organization to offer programs such as STAR-VTF much sooner. Caregivers had already put considerable effort into problem solving challenging behaviors. They anticipated deriving less value from STAR-VTF at that point. Nonetheless, many were interested in the virtual aspect of the training due to the convenience of receiving help from home and the perception that help from a virtual program would be timelier than traditional service modalities (eg, face to face). Given caregivers' limited time, they suggested dividing the STAR-VTF content into chunks to review as time permitted. Caregivers were interested in having a STAR-VTF provider for additional support in managing challenging behaviors. Caregivers reported a preference for having the same coach for the program duration. CONCLUSIONS: Caregivers we interviewed would likely accept a virtual training program such as STAR-VTF to obtain information about BPSD and receive help managing it. Family caregivers anticipated deriving more value if STAR-VTF was offered earlier in the disease course.

Immediate and short-term impact of a brief motivational smoking intervention using a biomedical risk assessment: the Get PHIT trial.

INTRODUCTION: Providing smokers with biologically based evidence of smoking-related disease risk or physical impairment may be an effective way to motivate cessation. METHODS: Smokers were recruited for a free health risk assessment and randomized to receive personally tailored feedback based on their lung functioning, carbon monoxide (CO) exposure, and smoking-related health conditions or generic information about the risks of smoking and personalized counseling based on their diet, body mass index, and physical activity. All (n = 536) were advised to quit smoking and offered access to a free telephone cessation program. Participants were surveyed immediately after intervention and 1 month later to assess the impact on various indices of motivation to quit. RESULTS: Immediately posttreatment, experimental participants rated themselves as more likely to try to quit (p = .02) and reported a greater mean increase in their motivation to quit than controls (p = .04). At 1-month follow-up, however, we found no significant group differences on any motivational indices. In post-hoc analyses comparing smokers in the experimental group with and without lung impairment, persons with impaired lung functioning had a greater change from baseline in posttreatment motivation to quit (adjusted p = .05) and perceived risk of developing a smoking-related disease (p = .03) compared with persons with no lung impairment, but we found no significant treatment effect on any motivational indices at 1 month. DISCUSSION: The results suggest that the intervention had a small, temporary effect, but we found no clear evidence that the intervention increased motivation to quit smoking during the first month postintervention.

Understanding Why Patients May Not Report Suicidal Ideation at a Health Care Visit Prior to a Suicide Attempt: A Qualitative Study.

OBJECTIVE: The authors sought to understand why patients may not report suicidal ideation at a health care visit prior to a suicide attempt. METHODS: Electronic health record data from Kaiser Permanente Washington were used to identify patients who reported having no suicidal ideation on question 9 of the nine-item Patient Health Questionnaire and who subsequently made a suicide attempt (≤60 days). Semistructured interviews were audio-recorded, transcribed, and analyzed by using a combination of directed (deductive) and conventional (inductive) content analysis to validate and further explore reasons why patients may not report suicidal ideation prior to a suicide attempt. RESULTS: Of 42 adults sampled, 26 agreed to be interviewed, of whom about half were women (N=15) and a majority was white (N=20), with ages ranging from 18 to 63. Key themes were that patients who attempted suicide after having reported no thoughts of self-harm were either not experiencing suicidal ideation at the time of screening or feared the outcome of disclosure, including stigma, overreaction, and loss of autonomy. An additional theme that emerged from the interviews included reports of heavy episodic drinking at the time of the suicide attempt, particularly when suicide was completely unplanned. Patients also identified important aspects of interactions with health care system providers that may facilitate disclosure about suicidal ideation. CONCLUSIONS: Nonjudgmental listening and expressions of caring without overreaction among providers may help patients overcome fear of reporting suicidal ideation. Screening for heavy episodic drinking may help identify individuals who make unplanned suicide attempts.

Cost-effectiveness of a multitarget stool DNA test for colorectal cancer screening of Medicare beneficiaries.

BACKGROUND: In 2014, the Centers for Medicare and Medicaid Services (CMS) began covering a multitarget stool DNA (mtSDNA) test for colorectal cancer (CRC) screening of Medicare beneficiaries. In this study, we evaluated whether mtSDNA testing is a cost-effective alternative to other CRC screening strategies reimbursed by CMS, and if not, under what conditions it could be. METHODS: We use three independently-developed microsimulation models to simulate a cohort of previously unscreened US 65-year-olds who are screened with triennial mtSDNA testing, or one of six other reimbursed screening strategies. Main outcome measures are discounted life-years gained (LYG) and lifetime costs (CMS perspective), threshold reimbursement rates, and threshold adherence rates. Outcomes are expressed as the median and range across models. RESULTS: Compared to no screening, triennial mtSDNA screening resulted in 82 (range: 79-88) LYG per 1,000 simulated individuals. This was more than for five-yearly sigmoidoscopy (80 (range: 71-89) LYG), but fewer than for every other simulated strategy. At its 2017 reimbursement rate of $512, mtSDNA was the most costly strategy, and even if adherence were 30% higher than with other strategies, it would not be a cost-effective alternative. At a substantially reduced reimbursement rate ($6-18), two models found that triennial mtSDNA testing was an efficient and potentially cost-effective screening option. CONCLUSIONS: Compared to no screening, triennial mtSDNA screening reduces CRC incidence and mortality at acceptable costs. However, compared to nearly all other CRC screening strategies reimbursed by CMS it is less effective and considerably more costly, making it an inefficient screening option.

Validation of Models Used to Inform Colorectal Cancer Screening Guidelines: Accuracy and Implications.

BACKGROUND: Microsimulation models synthesize evidence about disease processes and interventions, providing a method for predicting long-term benefits and harms of prevention, screening, and treatment strategies. Because models often require assumptions about unobservable processes, assessing a model's predictive accuracy is important. METHODS: We validated 3 colorectal cancer (CRC) microsimulation models against outcomes from the United Kingdom Flexible Sigmoidoscopy Screening (UKFSS) Trial, a randomized controlled trial that examined the effectiveness of one-time flexible sigmoidoscopy screening to reduce CRC mortality. The models incorporate different assumptions about the time from adenoma initiation to development of preclinical and symptomatic CRC. Analyses compare model predictions to study estimates across a range of outcomes to provide insight into the accuracy of model assumptions. RESULTS: All 3 models accurately predicted the relative reduction in CRC mortality 10 years after screening (predicted hazard ratios, with 95% percentile intervals: 0.56 [0.44, 0.71], 0.63 [0.51, 0.75], 0.68 [0.53, 0.83]; estimated with 95% confidence interval: 0.56 [0.45, 0.69]). Two models with longer average preclinical duration accurately predicted the relative reduction in 10-year CRC incidence. Two models with longer mean sojourn time accurately predicted the number of screen-detected cancers. All 3 models predicted too many proximal adenomas among patients referred to colonoscopy. CONCLUSION: Model accuracy can only be established through external validation. Analyses such as these are therefore essential for any decision model. Results supported the assumptions that the average time from adenoma initiation to development of preclinical cancer is long (up to 25 years), and mean sojourn time is close to 4 years, suggesting the window for early detection and intervention by screening is relatively long. Variation in dwell time remains uncertain and could have important clinical and policy implications.

Response to past depression treatments is not accurately recalled: comparison of structured recall and patient health questionnaire scores in medical records.

OBJECTIVE: Assessing response to prior depression treatments is common in research and clinical practice, but few data are available regarding accuracy of patient recall. Data from a population-based survey were linked to electronic medical records to examine agreement between patients' recalled treatment response and depression severity scores in the medical records. METHOD: Electronic medical records from a large health system identified 1,878 adult patients with 2 or more episodes of clinician-diagnosed major depressive disorder or dysthymia between January 2005 and December 2009 (diagnoses had been recorded using ICD-9 codes). These potential participants were mailed an invitation letter, and, of these, 578 completed an online or mailed survey including structured recall of response to each prior depression treatment, rating both global improvement during treatment and improvement specifically attributed to treatment. For 269 of the survey participants, at least 1 treatment episode could be unambiguously linked to both pretreatment and posttreatment Patient Health Questionnaire (PHQ-9) depression scores in the electronic medical records. Analyses examined the agreement between patients' recall of treatment response and response according to PHQ-9 scores from the medical records. RESULTS: Agreement between recall and the medical records was poor for both overall improvement following treatment (κ = 0.10; 95% CI, 0.00-0.19) and improvement attributed to treatment (κ = 0.12; 95% CI, 0.00-0.25). Agreement remained poor when the sample was limited to medication treatment episodes, episodes lasting 3 months or more, or episodes for which the participant was "very sure" of his or her ability to recall. Agreement reached a fair level only for episodes in the 6 months prior to the survey, for both overall improvement (κ = 0.23; 95% CI, 0.08-0.39) and improvement attributed to treatment (κ = 0.36; 95% CI, 0.12-0.59). CONCLUSIONS: Patients' recall of response to past depression treatments agrees poorly with data from medical records. Interview assessment of prior treatment response may not be a useful tool for research or clinical practice.

Impact of deductibles on initiation and continuation of psychotherapy for treatment of depression.

OBJECTIVE: To estimate the impact of deductibles on the initiation and continuation of psychotherapy for depression. DATA SOURCES/STUDY SETTING: Data from health care encounters and claims from Group Health Cooperative, a large integrated health care system in Washington State, was merged with information from a centralized behavioral health triage call center to conduct study analyses. STUDY DESIGN: A retrospective observational design using a hierarchical logistic regression model was used to estimate initiation and continuation probabilities for use of psychotherapy, adjusting for key sociodemographic/economic factors and prior use of behavioral health services relevant to individual decisions to seek mental health care. DATA COLLECTION/EXTRACTION METHODS: Analyses were based on merged datasets on patient enrollment, insurance benefits, use of mental health and general medical services and information collected by a triage specialist at a centralized behavioral health call center. PRINCIPAL FINDINGS: Among individuals with unmet deductibles between $100 and $500, we found a statistically significant lower likelihood of making an initial visit, but there was no statistically significant effect on making an initial or subsequent visit among individuals that had met their deductible. CONCLUSIONS: Unmet deductibles appear to influence the likelihood of initiating psychotherapy for treating depression.

An online recovery plan program: can peer coaching increase participation?

OBJECTIVE: A pilot study evaluated whether the addition of online coaching from a peer specialist increased participation in an online program featuring educational and interactive modules to promote self-management of bipolar disorder. METHODS: A total of 118 participants with bipolar disorder recruited from online and in-person support groups and clinical settings were enrolled in MyRecoveryPlan. Half the group was randomly assigned to receive online coaching support from a certified peer specialist. RESULTS: Participants offered online peer coaching were more likely to return to the program after registration (71% versus 44%, p=.005) and to continue using the program after three weeks (38% versus 9%, p<.001). This pattern was consistent for all program elements. CONCLUSIONS: The addition of online coaching from a peer specialist significantly increased engagement and retention in the program, but further research is needed to evaluate the program's effects on clinical and recovery outcomes.

Impact of spirometry feedback and brief motivational counseling on long-term smoking outcomes: a comparison of smokers with and without lung impairment.

OBJECTIVE: We compared long-term outcomes among smokers with and without impaired lung functioning who received brief counseling highlighting their spirometric test results. METHODS: Participants in this analysis all received a brief motivational intervention for smoking cessation including spirometric testing and feedback ( approximately 20 min), were advised to quit smoking, offered free access to a phone-based smoking cessation program, and followed for one year. Outcomes were analyzed for smokers with (n=99) and without (n=168) impaired lung function. RESULTS: Participants with lung impairment reported greater use of self-help cessation materials at 6 months, greater use of non-study-provided counseling services at 6 and 12 months, higher 7-day PPA rates at 6 months, and were more likely to talk with their doctor about their spirometry results. CONCLUSION: Further research is warranted to determine if spirometry feedback has a differential treatment effect among smokers with and without lung impairment. PRACTICE IMPLICATIONS: It is premature to make practice recommendations based on these data.

Impact of a brief motivational smoking cessation intervention the Get PHIT randomized controlled trial.

BACKGROUND: Few studies have rigorously evaluated whether providing biologically based health-risk feedback is more effective than standard interventions in increasing smokers' motivation to quit and their long-term abstinence. DESIGN: An RCT was conducted from 2005 to 2008. Data were analyzed in 2008. SETTING/PARTICIPANTS: Smokers (N=536) were recruited from the community, regardless of their interest in quitting smoking. INTERVENTION: Smokers either received brief ( approximately 20 minutes), personally tailored counseling sessions based on their lung functioning, carbon monoxide (CO) exposure, and smoking-related health conditions, or they received generic smoking-risk information and personalized counseling about their diet, BMI, and physical activity. All were advised to quit smoking and were offered access to a free phone-counseling program. MAIN OUTCOME MEASURES: Treatment utilization and abstinence at 6 and 12 months post-intervention. RESULTS: Participants who received the experimental treatment demonstrated no greater motivation to quit, use of treatment services, or abstinence compared to controls at either follow-up assessment. In fact, controls reported greater motivation to quit at 12 months (M 3.42 vs 3.20, p=0.03), greater use of pharmacotherapy at 6 months (37.8% vs 28.0%, p=0.02), and greater 30-day point prevalent abstinence at 6 months, after controlling for relevant covariates (10.8% vs 6.4%, adjusted p=0.04). CONCLUSIONS: The present study found no support for adding a personalized health-risk assessment emphasizing lung health and CO exposure to generic cessation advice and counseling for community-based smokers not otherwise seeking treatment. TRIAL REGISTRATION: NCT00169260.