Education curriculum assessment for teaching electrocardiography: Rationale and design for the prospective, international, randomized controlled EDUCATE trial.

BACKGROUND: Electrocardiogram (ECG) interpretation training is a fundamental component of medical education across disciplines. However, the skill of interpreting ECGs is not universal among medical graduates, and numerous barriers and challenges exist in medical training and clinical practice. An evidence-based and widely accessible learning solution is needed. DESIGN: The EDUcation Curriculum Assessment for Teaching Electrocardiography (EDUCATE) Trial is a prospective, international, investigator-initiated, open-label, randomized controlled trial designed to determine the efficacy of self-directed and active-learning approaches of a web-based educational platform for improving ECG interpretation proficiency. Target enrollment is 1000 medical professionals from a variety of medical disciplines and training levels. Participants will complete a pre-intervention baseline survey and an ECG interpretation proficiency test. After completion, participants will be randomized into one of four groups in a 1:1:1:1 fashion: (i) an online, question-based learning resource, (ii) an online, lecture-based learning resource, (iii) an online, hybrid question- and lecture-based learning resource, or (iv) a control group with no ECG learning resources. The primary endpoint will be the change in overall ECG interpretation performance according to pre- and post-intervention tests, and it will be measured within and compared between medical professional groups. Secondary endpoints will include changes in ECG interpretation time, self-reported confidence, and interpretation accuracy for specific ECG findings. CONCLUSIONS: The EDUCATE Trial is a pioneering initiative aiming to establish a practical, widely available, evidence-based solution to enhance ECG interpretation proficiency among medical professionals. Through its innovative study design, it tackles the currently unaddressed challenges of ECG interpretation education in the modern era. The trial seeks to pinpoint performance gaps across medical professions, compare the effectiveness of different web-based ECG content delivery methods, and create initial evidence for competency-based standards. If successful, the EDUCATE Trial will represent a significant stride towards data-driven solutions for improving ECG interpretation skills in the medical community.

Impact of socioeconomic status on depression clinical outcomes at six months in a Midwestern, United States community.

INTRODUCTION: Lower socioeconomic status (SES) has been associated with poor healthcare outcomes in depression. However, reliable individual-level SES data rarely exists for clinical research. The HOUSES index relies on publicly available data allowing for evaluation of individual-level SES on patient outcomes. HYPOTHESIS: Primary care patients with depression within the lower SES quartile (Quartile 1 vs. Quartile 4, of the HOUSES index) would experience worse clinical outcomes of their symptoms six months after diagnosis. STUDY DESIGN: A retrospective cohort study which followed 4313 adult primary care patients that were diagnosed with depression during the study period of 2008-2015. The outcome measures were the six month PHQ-9 scores. RESULTS: At six months, a higher HOUSES quartile was associated with greater odds of remission of depressive symptoms (RDS) and lower odds of persistent depressive symptoms (PDS), after controlling for covariates. Patients in Quartile 4 had 27% more likelihood of RDS and a 24% lower likelihood of PDS at six months compared to a Quartile 1 patient. LIMITATIONS: As a retrospective study only can observe associations but not causation. Only one institution participated and not all treatments were readily available, limiting the generalizability of these findings. CONCLUSIONS: Lower SES as demonstrated by a lower HOUSES quartile (Quartile 1 versus 4) was associated with lower odds of RDS and increased odds of PDS at six months. HOUSES index is a useful tool for identifying patients at risk for worse clinical outcomes and may help health care systems plan resource allocation for depression care.

Impact of collaborative clinician visits on postdischarge total cost of care in a polypharmacy population.

PURPOSE: To evaluate the impact of a collaborative intervention by pharmacists and primary care clinicians on total cost of care, including costs of inpatient readmissions, emergency department visits, and outpatient care, at 30, 60, and 180 days after hospital discharge in a population of patients at high risk for readmission due to polypharmacy. METHODS: A retrospective study of cost outcomes in a cohort of adult patients discharged from a single institution from July 1, 2013 to March 25, 2016, was conducted. All patients had at least 10 medications listed on their discharge list, including at least 1 drug frequently associated with adverse events leading to hospital readmission. About half of the cohort (n = 496) attended a postdischarge visit involving both a pharmacist and a primary care clinician (a physician, physician assistant, or licensed nurse practitioner); this was designated the pharmacist/clinician collaborative (PCC) group. The remainder of the cohort (n = 500) attended a visit without pharmacist involvement; this was designated as the usual care (UC) group. Costs were compared using a quantile regression to assess the potential heterogeneous impacts of the PCC intervention across different parts of the cost distribution. All outcomes were adjusted for differences in baseline characteristics. RESULTS: At 30 days post index discharge, there was a significant decrease in total costs in the 10th and 90th cost quantiles in the PCC cohort vs the UC cohort, without a statistically significant decrease in the 25th, 50th or 75th quantiles. The difference was significant in the 75th and 90th quantiles at 60 days and in the 25th, 50th, and 75th quantiles at 180 days. There was a nonsignificant cost reduction in all other quantiles. CONCLUSION: Medically complex patients had a significantly lower total cost of care in approximately half of the adjusted cost quantiles at 30, 60, and 180 days after hospital discharge when they had a PCC visit. PCC visits can improve patient clinical outcomes while improving cost metrics.

Impact of rural address and distance from clinic on depression outcomes within a primary care medical home practice.

BACKGROUND: Depression is the second leading cause of death among young adults and a major cause of disability worldwide. Some studies suggest a disparity between rural and urban outcomes for depression. Collaborative Care Management (CCM) is effective in improving recovery from depression, but its effect within rural and urban populations has not been studied. METHODS: A retrospective cohort study of 3870 patients diagnosed with depression in a multi-site primary care practice that provided optional, free CCM was conducted. US Census data classified patients as living in an Urban Area, Urban Cluster, or Rural area and the distance they resided from their primary care clinic was calculated. Baseline demographics, clinical data, and standardized psychiatric assessments were collected. Six month Patient Health Questionnaire (PHQ 9) scores were used to judge remission (PHQ9 < 5) or Persistent Depressive Symptoms (PDS) (PHQ9 ≥ 10) in a multivariate model with interaction terms. RESULTS: Rural patients had improved adjusted odds of remission (AOR = 2.8) and PDS (AOR = 0.36) compared to urban area patients. The natural logarithm transformed distance to primary care clinic was significant for rural patients resulting in a lower odds of remission and increased odds of PDS with increasing distance from clinic. The marginal probability of remission or PDS for rural patients equaled that of urban area patients at a distance of 34 or 40 km respectively. Distance did not have an effect for urban cluster or urban area patients nor did distance interact with CCM. CONCLUSION: Residing in a rural area had a beneficial effect on the recovery from depression. However this effect declined with increasing distance from the primary care clinic perhaps related to greater social isolation or difficulty accessing care. This distance effect was not seen for urban area or urban cluster patients. CCM was universally beneficial and did not interact with distance.

Essential Office Procedures for Medicare Patients in Primary Care: Comparison With Family Medicine Residency Training.

BACKGROUND AND OBJECTIVES: Demographic trends show an increasing older adult population. Therefore, family medicine training programs may need to reevaluate how well their residents perform clinic procedures essential to older adults. Our objective was to compare the rates of the most frequently performed clinic procedures for Medicare patients in a large multiregional health care system (MRHCS) with those in a family medicine residency clinic. METHODS: In this retrospective cohort study, Current Procedural Terminology coding data were queried from the billing systems of an MRHCS (the control group) and a family medicine residency clinic (the study group) for a 3-year period. The primary outcome was the procedural rate ratios per 1,000 office visits for the 10 most common clinic procedures in the MRHCS billed to Medicare. RESULTS: The study group consisted of 19,099 office visits by Medicare patients to the residency clinic; the control group consisted of 2,034,188 visits to the MRHCS. Except for large joint injection, procedural rates were significantly different for the other nine procedures (destruction of benign skin lesions, nail care, punch or shave skin biopsy, removal of impacted cerumen, wound debridement of skin, Unna boot application, excision of skin lesion, paring of corn or callus, and insertion of bladder catheter). The rate of skin excision was higher in the residency clinic than in the MRHCS but lower for the other eight procedures. CONCLUSIONS: These data suggest that teaching programs may need to adapt to meet the current and future practice needs of this increasing patient population.

Impact of Personality Disorder Cluster on Depression Outcomes Within Collaborative Care Management Model of Care.

BACKGROUND: Previous studies have suggested that having a comorbid personality disorder (PD) along with major depression is associated with poorer depression outcomes relative to those without comorbid PD. However, few studies have examined the influence of specific PD cluster types. The purpose of the current study is to compare depression outcomes between cluster A, cluster B, and cluster C PD patients treated within a collaborative care management (CCM), relative to CCM patients without a PD diagnosis. The overarching goal was to identify cluster types that might confer a worse clinical prognosis. METHODS: This retrospective chart review study examined 2826 adult patients with depression enrolled in CCM. The cohort was divided into 4 groups based on the presence of a comorbid PD diagnosis (cluster A/nonspecified, cluster B, cluster C, or no PD). Baseline clinical and demographic variables, along with 6-month follow-up Patient Health Questionnaire-9 (PHQ-9) scores were obtained for all groups. Depression remission was defined as a PHQ-9 score <5 at 6 months, and persistent depressive symptoms (PDS) was defined as a PHQ-9 score ≥10 at 6 months. Adjusted odds ratios (AORs) were determined for both remission and PDS using logistic regression modeling for the 6-month PHQ-9 outcome, while retaining all study variables. RESULTS: A total of 59 patients (2.1%) had a cluster A or nonspecified PD diagnosis, 122 patients (4.3%) had a cluster B diagnosis, 35 patients (1.2%) had a cluster C diagnosis, and 2610 patients (92.4%) did not have any PD diagnosis. The presence of a cluster A/nonspecified PD diagnosis was associated with a 62% lower likelihood of remission at 6 months (AOR = 0.38; 95% CI 0.20-0.70). The presence of a cluster B PD diagnosis was associated with a 71% lower likelihood of remission at 6 months (AOR = 0.29; 95% CI 0.18-0.47). Conversely, having a cluster C diagnosis was not associated with a significantly lower likelihood of remission at 6 months (AOR = 0.83; 95% CI 0.42-1.65). Increased odds of having PDS at 6-month follow-up were seen with cluster A/nonspecified PD patients (AOR = 3.35; 95% CI 1.92-5.84) as well as cluster B patients (AOR = 3.66; 95% CI 2.45-5.47). However, cluster C patents did not have significantly increased odds of experiencing persistent depressive symptoms at 6-month follow-up (AOR = 0.95; 95% CI 0.45-2.00). CONCLUSIONS: Out of the 3 clusters, the presence of a cluster B PD diagnosis was most significantly associated with poorer depression outcomes at 6-month follow-up, including reduced remission rates and increased risk for PDS. The cluster A/nonspecified PD group also showed poor outcomes; however, the heterogeneity of this subgroup with regard to PD features must be noted. The development of novel targeted interventions for at-risk clusters may be warranted in order to improve outcomes of these patients within the CCM model of care.

Personality Disorders in Primary Care: Impact on Depression Outcomes Within Collaborative Care.

BACKGROUND: Individuals with personality disorders (PDs) are high utilizers of primary care and mental health services; however, they struggle to utilize the care effectively and studies have shown a strong association between having a PD and higher impairment in social role functioning. This is especially important because PDs are highly comorbid with a wide range of other mental health disorders. The collaborative care model (CCM) for depression was developed with an emphasis on patient engagement and aimed to reduce health care utilization, while improving treatment outcomes in primary care. We hypothesized that the diagnosis of a personality disorder in primary care patients will negatively affect 6-month depression outcomes after enrollment into a CCM. METHODS: This retrospective chart review study was conducted on patients enrolled into CCM over a period of 7 years with collection of 6-month follow-up data. A total of 2826 patients were enrolled into CCM with a clinical diagnosis of depression and a baseline Patient Health Questionnaire-9 (PHQ-9) ≥10 were included in the study cohort. Using the depression database, baseline and 6-month follow-up data were obtained. Adjusted odds ratios (AORs) were determined for both remission and persistent depressive symptoms using logistic regression modeling for the 6-month PHQ-9 outcome; while retaining all the study variables. RESULTS: Of the 2826 CCM patients with depression in our study, 216 (7.6%) were found to have a PD. Patients with PD were younger (37.7 vs 42.5 years, P < .001) and more likely to be unmarried (36.1% vs 55.6%, P < .001) than patients without a PD. While age, marital status, clinical diagnosis, and Mood Disorders Questionnaire (MDQ) score were significant predictors of remission; anxiety symptoms, gender, and race were not. The presence of a PD diagnosis was associated with a 60% lower likelihood of remission at 6 months (AOR = 0.39; 95% CI 0.28-0.54). Conversely, patients without a PD were 2.5 times as likely to experience remission at 6-month remission compared to patients with PD (AOR =2.57; 95% CI 1.85-3.56). CONCLUSION: Patients with a personality disorder were more likely to have a recurrent depressive disorder diagnosis, an abnormal MDQ score, increased anxiety symptoms, and higher baseline PHQ-9 score. Patients with PD had worse CCM outcomes at 6 months with only 25.0% able to achieve remission versus 54.3% ( P < .001) without a PD. The presence of a PD with depression was associated with poor outcomes (reduced remission rates and increased persistent depressive symptoms rates) in comparison to patients without a diagnosis of PD, while treated within CCM.

Prediction of Primary Care Depression Outcomes at Six Months: Validation of DOC-6 ©.

BACKGROUND: The goal of this study was to develop and validate an assessment tool for adult primary care patients diagnosed with depression to determine predictive probability of clinical outcomes at 6 months. METHODS: We retrospectively reviewed 3096 adult patients enrolled in collaborative care management (CCM) for depression. Patients enrolled on or before December 31, 2013, served as the training set (n = 2525), whereas those enrolled after that date served as the preliminary validation set (n = 571). RESULTS: Six variables (2 demographic and 4 clinical) were statistically significant in determining clinical outcomes. Using the validation data set, the remission classifier produced the receiver operating characteristics (ROC) curve with a c-statistic or area under the curve (AUC) of 0.62 with predicted probabilities than ranged from 14.5% to 79.1%, with a median of 50.6%. The persistent depressive symptoms (PDS) classifier produced an ROC curve with a c-statistic or AUC of 0.67 and predicted probabilities that ranged from 5.5% to 73.1%, with a median of 23.5%. CONCLUSIONS: We were able to identify readily available variables and then validated these in the prediction of depression remission and PDS at 6 months. The DOC-6 tool may be used to predict which patients may be at risk for worse outcomes.

Family Medicine Panel Size with Care Teams: Impact on Quality.

PURPOSE: The demand for comprehensive primary health care continues to expand. The development of team-based practice allows for improved capacity within a collective, collaborative environment. Our hypothesis was to determine the relationship between panel size and access, quality, patient satisfaction, and cost in a large family medicine group practice using a team-based care model. METHODS: Data were retrospectively collected from 36 family physicians and included total panel size of patients, percentage of time spent on patient care, cost of care, access metrics, diabetic quality metrics, patient satisfaction surveys, and patient care complexity scores. We used linear regression analysis to assess the relationship between adjusted physician panel size, panel complexity, and outcomes. RESULTS: The third available appointments (P < .01) and diabetic quality (P = .03) were negatively affected by increased panel size. Patient satisfaction, cost, and percentage fill rate were not affected by panel size. A physician-adjusted panel size larger than the current mean (2959 patients) was associated with a greater likelihood of poor-quality rankings (≤25th percentile) compared with those with a less than average panel size (odds ratio [OR], 7.61; 95% confidence interval [CI], 1.13-51.46). Increased panel size was associated with a longer time to the third available appointment (OR, 10.9; 95% CI, 1.36-87.26) compared with physicians with panel sizes smaller than the mean. CONCLUSIONS: We demonstrated a negative impact of larger panel size on diabetic quality results and available appointment access. Evaluation of a family medicine practice parameters while controlling for panel size and patient complexity may help determine the optimal panel size for a practice.

The Impact of Posttraumatic Stress Disorder on the 6-Month Outcomes in Collaborative Care Management for Depression.

Posttraumatic stress disorder (PTSD) has symptoms that exist along a spectrum that includes depression and the 2 disorders may coexist. Collaborative care management (CCM) has been successfully used in outpatient mental health management (especially depression and anxiety) with favorable outcomes. Despite this, there exist limited data on clinical impact of a diagnosis of PTSD on depression outcomes in CCM. The present study used a retrospective cohort design to examine the association of PTSD with depression outcomes among 2121 adult patients involved in CCM in a primary care setting. Using standardized self-report measures, baseline depression scores and 6-month outcome scores were evaluated. Seventy-six patients had a diagnosis of PTSD documented in their electronic medical record. Patients with PTSD reported more severe depressive symptoms at baseline (Patient Health Questionnaire-9 score of 17.9 vs 15.4, P < .001) than those without PTSD. Controlling for sociodemographic and clinical characteristics, a clinical diagnosis of PTSD was associated with lower odds (AOR = 0.457, CI = 0.274-0.760, P = .003) of remission at 6 months and was also associated with higher odds (AOR = 3.112, CI = 1.921-5.041, P < .001) of persistent depressive symptoms at 6 months after CCM. When coexisting with depression, a diagnosis of PTSD was associated with worse depression outcomes, when managed with CCM in primary care. Opportunities still exist for more aggressive management of depression in these patients to help improve remission as well as reduce persistent depressive symptoms.

Increased medical cost metrics for patients 50 years of age and older in the collaborate care model of treatment for depression.

BACKGROUND: The collaborative care model (CCM) has been consistently shown to achieve effectiveness in depression management compared to usual care. In the present study, we aimed to determine the impact of age on cost metrics in patients who were treated with CCM for 6 months after a diagnosis of depression. METHODS: The upper quartile of age was 50 years and older (n = 56), and the comparison group was composed of patients in the three younger quartiles, aged 18-49 years (n = 163). RESULTS: Patients in the older age group had an elevated median Current Procedure Terminology cost rank of 255.5 compared to 168.0 for the younger patients (P < 0.001). Multiple logistic regression analysis revealed that being in the upper quartile of age (≥ 50 years) (odds ratio = 2.272, 95% confidence interval: 1.064-4.851; P = 0.034) and having higher numbers of clinical visits 6 months prior to index (odds ratio = 1.209, 95% confidence interval: 1.118-1.307; P < 0.001) were significant predictor variables of being cost rank outliers (>80th percentile) in patients with CCM. CONCLUSION: Medical cost utilization in the 6 months after diagnosis of depression was significantly higher in patients in the upper age quartile (≥ 50 years) enrolled in CCM than those in the lower quartiles (age < 50).

Teaching residents electronic fetal monitoring: a national needs assessment.

BACKGROUND AND OBJECTIVES: Competence and standardization in Electronic Fetal Monitoring (EFM) interpretation are important elements for improving intrapartum fetal outcomes. Computer-based learning modules constitute a tool that can facilitate access and standardize education of EFM interpretation in family medicine residencies. The goals of this study were to determine current practices related to EFM education strategies in family medicine residency programs as well as evaluate the perceptions of residents' EFM competency and need for computer-based EFM learning. METHODS: We surveyed obstetrics curriculum directors at 423 family medicine residency programs using a 10-question, web-based survey. RESULTS: A total of 208 programs participated (49% response rate); 74% (151/204) of obstetrics curriculum directors reported a need for a new computer-based EFM tutorial. This need was reported while 33% (68/204) of programs reported already using a computer-based EFM resource, and 91% (178/196) reported having resident trainees with competent EFM interpretation skills. CONCLUSIONS: This national study of family medicine obstetrics curriculum directors identified a perceived need for computer-based EFM learning to enhance family medicine obstetrics training.

Minority Primary Care Patients With Depression: Outcome Disparities Improve With Collaborative Care Management.

BACKGROUND/OBJECTIVES: Racial and ethnic disparities in depression incidence, prevalence, treatment, and outcomes still persist. The hypothesis of this study was that use of collaborative care management (CCM) in treating depressed primary care patients would decrease racial disparities in 6-month clinical outcomes compared with those patients treated with usual primary care (UC). RESEARCH DESIGN/SUBJECTS: In a retrospective chart review analysis, 3588 (51.2%) patients received UC and 3422 (48.8%) patients were enrolled in CCM. Logistic regression analyses were used to examine disparities in 6-month outcomes. RESULTS: Minority patients enrolled in CCM were more likely to be participating in depression care at 6 months than minority patients in UC (61.8% vs. 14.4%; P≤0.001). After adjustment for demographic and clinical covariates, this difference remained statistically significant (odds ratio=9.929; 95% CI, 6.539-15.077, P≤0.001).The 568 minority UC patients with 6-month follow-up PHQ-9 data demonstrated a much lower odds ratio of a PHQ-9 score of <5 (0.220; 95% CI, 0.085-0.570; P=0.002) and a much higher odds ratio of PHQ-9 score of ≥10 (3.068; 95% CI, 1.622-5.804; P<0.001) when compared with the white, non-Hispanic patients. In contrast, the 2329 patients treated with CCM, the odds ratio for a PHQ-9 score of <5 or ≥10 after 6 months, demonstrated no significance of minority status. CONCLUSIONS: Utilization of CCM for depression was associated with a significant reduction of the disparities for outcomes of compliance, remission, or persistence of depressive symptoms for minority patients with depression versus those treated with UC.

Impact of symptom remission on outpatient visits in depressed primary care patients treated with collaborative care management and usual care.

Depression symptoms contribute to significant morbidity and health care utilization. The aim of this study was to determine the impact of symptom improvement (to remission) on outpatient clinical visits by depressed primary care patients. This study was a retrospective chart review analysis of 1733 primary care patients enrolled into collaborative care management (CCM) or usual care (UC) with 6-month follow-up data. Baseline data (including demographic information, clinical diagnosis, and depression severity) and 6-month follow-up data (Patient Health Questionnaire scores and the number of outpatient visits utilized) were included in the data set. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured as was the presence of medical comorbidities. Multiple logistic regression analysis demonstrated that clinical remission at 6 months was an independent predictor of outpatient visit outlier status (>8 visits) (odds ratio [OR] 0.609, confidence interval (CI) 0.460-0.805, P<0.01) when controlling for all other independent variables including enrollment into CCM or UC. The OR of those patients not in remission at 6 months having outpatient visit outlier status was the inverse of this at 1.643 (CI 1.243-2.173). The most predictive variable for determining increased outpatient visit counts after diagnosis of depression was increased outpatient visits prior to diagnosis (OR 4.892, CI 3.655-6.548, P<0.01). In primary care patients treated for depression, successful treatment to remission at 6 months decreased the likelihood of the patient having more than 8 visits during the 6 months after diagnosis.

Cervical cancer screening: a prospective cohort study of the effects of historical patient compliance and a population-based informatics prompted reminder on screening rates.

AIMS AND OBJECTIVES: The aim of this study was to assess the impact of historical screening compliance with the effectiveness of patient reminder letters on cervical cancer screening rates. METHOD: Using population-based informatics systems, women with no cervical cancer screening in the prior 3 years were identified in two primary care clinics, Mayo Family Clinic Northeast (NE; n = 1613) and Northwest (NW; n = 1088). Patients were divided into two compliance groups: overdue/unknown screening status at study start or previously compliant. The NE Clinic sent reminder letters over a 6 months window to patients eligible for screening at the study start or during the study that were also identified as employees/dependents (E/D). There were 795 intervention (NE Clinic E/D patients) and 1906 control subjects. Using an intent-to-treat analysis, differences in screening rates were assessed. RESULTS: A higher unadjusted screening rate was observed for the E/D group than the non-E/D group at both sites (32.7 versus 18.2% at NW, P < 0.001; 39.0 versus 14.7% at NE, P < 0.001). For the historically compliant group, unadjusted screening rates were higher for those who received letters (E/D subjects at NE) versus those who did not (E/D subjects at NW; 56.1 versus 44.5%, P = 0.01). No difference was observed between E/D subjects at NE (received letters) and NW (no letters) for the overdue/unknown group (27.4 versus 25.9%, P = 0.62). There was no difference in screening rates for non-E/D subjects at NE versus at NW (none of whom received letters) for both the compliant (24.2 versus 30.6%, P = 0.18) and the overdue/unknown groups (11.9 versus 13.0%, P = 0.59). Multivariate logistic regression models showed a significant overall effect of E/D status (P = 0.006), compliance group (P < 0.001), and the interaction between clinic site and E/D status (P = 0.04). CONCLUSION: Among insured women, reminder letters appear to improve cervical cancer screening rates for those with a history of screening compliance. Reminder letters appear insufficient to motivate women if screening is overdue. Further investigation of the cohort of women overdue for screening is needed to develop interventions to successfully target this group.

Effects of concurrent low back conditions on depression outcomes.

CONTEXT: Depression and low back problems are common issues in primary care. OBJECTIVE: To compare 6-month depression outcomes (specifically, clinical results and number of outpatient visits) in patients with or without comorbid low back conditions (LBCs). The authors hypothesized that the presence of an LBC within 3 months of the diagnosis of depression would negatively affect clinical outcomes of depression treatment after 6 months. DESIGN: Retrospective record review. SETTING: Collaborative care management program in a large primary care practice. PARTICIPANTS: Patients with a diagnosis of depression enrolled in collaborative care management (N=1326), including 172 with and 1154 without evidence of an LBC within 3 months of enrollment. MAIN OUTCOME MEASURES: Clinical depression outcomes (remission and persistent depressive symptoms) and number of outpatient visits at 6 months. RESULTS: Regression modeling for clinical remission and persistent depressive symptoms at 6 months demonstrated that LBCs were not an independent factor affecting clinical remission (P=.24) but were associated with persistent depressive symptoms (odds ratio, 1.559; 95% confidence interval, 1.065-2.282; P=.02); LBCs remained an independent predictor of outlier status for outpatient visits (≥8 clinical visits after 6 months of enrollment), with an odds ratio of 1.581 (95% confidence interval, 1.086-2.30; P=.02). CONCLUSION: Increased odds of persistent depressive symptoms and increased number of outpatient visits were found in patients with depression and concomitant LBCs 6 months after enrollment into collaborative care management, compared with those in patients with depression and without LBCs. The data suggest that temporally related LBCs could lead to worse outcomes in primary care patients being treated for depression, encouraging closer observation and possible therapeutic changes in this cohort.

Prolonged care management for depression: a case-controlled study of those enrolled for more than one year.

INTRODUCTION: Collaborative care management (CCM) for the treatment of depression has been shown to be an effective therapy. CCM can be seen as a resource intensive treatment. Early identification of patients who would not be effectively treated with CCM could allow for alteration of therapy or change in modality. METHODS: A retrospective case-controlled study used 132 patients with prolonged enrollment (>1 year) in CCM (cases) and 396 randomized CCM patients who achieved remission within 6 months (controls). The hypothesis was that by studying the epidemiology of patients in prolonged care management (PCM), characteristics could be determined to help define this group. RESULTS: With regression modeling, the odds of a patient having PCM at 1 year was highly significant for those unmarried patients (odds ratio [OR] = 1.736, confidence interval [CI] = 1.115-2.703, P = .015) with dysthymia (OR = 2.362, CI = 1.104-5.052, P = .027) and severe depression (OR = 2.856, CI = 1.551-5.260, P = .001). The adjusted baseline Patient Health Questionnaire-9 (PHQ-9) score showed a difference of 16.0 for the cases versus 14.8 for the controls (P < .001). By 10 weeks, the difference is much larger at (10.7 vs 4.9, P < .001). At 26 weeks, the control group had an adjusted average PHQ-9 score of 2.0, whereas the case group was still elevated at 10.2 (P < .001). CONCLUSIONS: Case-controlled analysis of PCM patients demonstrated independent predictors (such as unmarried status, diagnosis of dysthymia or severe depression), however, no baseline data was of sufficient clarity to suggest changes in clinical practice. The trend of the patient's PHQ-9 over time was strongly suggestive of allowing differentiation between the groups.

Family medicine patients who use retail clinics have lower continuity of care.

PURPOSE: The purpose of this study was to compare continuity of care for family medicine patients using retail medicine clinics to continuity for patients not using retail clinics. Retail medicine clinics have become popular in some markets. However, their impact on continuity of care has not been studied. METHODS: Electronic medical records of adult primary care patients seen in a large group practice in Minnesota in 2011 were analyzed for this study. Two randomly chosen groups of patients were selected (N = 400): those using 1 of 3 retail walk-in clinics staffed by nurse practitioners in addition to standard office care and a comparison group that only used standard office care. Continuity was measured as the percentage of visits that involved the primary care provider. We also compared patients who made zero visits to their primary care providers with those who made some visits to their primary care providers. RESULTS: Continuity of care was lower for patients who used retail clinics than for patients who did not use retail clinics (0.17 vs 0.44, mean difference 0.27). The percentage of patients who made zero visits to their primary care providers was 54.5 for users of retail clinics versus 31.0 for those who did not use retail clinics. CONCLUSIONS: Continuity of care should be monitored as retail medicine continues to expand.

Patient self-assessment factors predictive of persistent depressive symptoms 6 months after enrollment in collaborative care management.

BACKGROUND: Collaborative care management (CCM) is effective for improving depression outcomes. However, a subset of patients will still have symptoms after 6 months. This study sought to determine whether routinely obtained baseline clinical, demographic, and self-assessment variables would predict which patients endorse persistent depressive symptoms (PDS) after 6 months. By estimating the relative risk associated with the patient variables, we aimed to outline the combinations of factors predictive of PDS after CCM enrollment. METHODS: We retrospectively reviewed 1,110 adult primary care patients with the diagnosis of major depressive disorder enrolled in a CCM program and evaluated those with PDS (defined as patient health questionnaire-9score ≥10) 6 months after enrollment. RESULTS: At baseline, an increased depression severity, worsening symptoms of generalized anxiety, an abnormal screening on the mood disorder questionnaire (MDQ) and the diagnosis of recurrent episode of depression were independent predictors of PDS. A patient with severe, recurrent depression, an abnormal MDQ screen, and severe anxiety at baseline had a predicted 42.1% probability of PDS at 6 months. In contrast, a patient with a moderate, first episode of depression, normal MDQ screen, and no anxiety symptoms had a low probability of PDS at 6.6%. CONCLUSIONS: This study identified several patient self-assessment scores and clinical diagnosis that markedly predicted the probability of PDS 6 months after diagnosis and enrollment into CCM. Knowledge of these high-risk attributes should alert the clinician to monitor select patients more closely and consider altering therapy appropriately.