Comparison of US Oncologist Rurality by Practice Setting and Patients Served.

Importance: Studies of the oncology workforce most often classify physician rurality by their practice location, but this could miss the true extent of physicians involved in rural cancer care. Objective: To compare a method for identifying oncology physicians involved in rural cancer care that uses the proportion of rural patients served with the standard method based on practice location. Design, Setting, and Participants: This cross-sectional study used retrospective Centers for Medicare & Medicaid Services encounter data on medical oncologists, radiation oncologists, and surgeons treating Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer from January 1 to December 31, 2019. Data were analyzed from May to September 2023. Main Outcomes and Measures: The standard method of classifying oncologist physician rurality based on practice location was compared with a novel method of classification based on proportion of rural patients served. Results: The study included 27 870 oncology physicians (71.3% male), of whom 835 (3.0%) practiced in a rural location. Physicians practicing in a rural location treated a high proportion of rural patients (median, 50.0% [IQR, 16.7%-100%]). When considering the rurality of physicians' patient panels, 5123 physicians (18.4%) whose patient panel included at least 20% rural patients, 3199 (11.5%) with at least 33% rural patients, and 1996 (7.2%) with at least 50% rural patients were identified. Using a physician's patient panel to classify physician rurality revealed a higher number and greater spread of oncology physicians involved in rural cancer care in the US than the standard method, while maintaining high performance (area under the curve, 0.857) and fair concordance (κ, 0.346; 95% CI, 0.323-0.369) with the method based on practice setting. Conclusions and Relevance: In this cross-sectional study, classifying oncologist rurality by the proportion of rural patients served identified more oncology physicians treating patients living in rural areas than the standard method of practice location and may more accurately capture the rural cancer physician workforce, as many hospitals have historically been located in more urban areas. This new method may be used to improve future studies of rural cancer care delivery.

Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis.

BACKGROUND: In response to the COVID-19 pandemic, cancer centers rapidly adopted telehealth to deliver care remotely. Telehealth will likely remain a model of care for years to come and may not only affect the way oncologists deliver care to their own patients but also the physicians with whom they share patients. OBJECTIVE: This study aimed to examine oncologist characteristics associated with telehealth use and compare patient-sharing networks before and after the COVID-19 pandemic in a rural catchment area with a particular focus on the ties between physicians at the comprehensive cancer center and regional facilities. METHODS: In this retrospective observational study, we obtained deidentified electronic health record data for individuals diagnosed with breast, colorectal, or lung cancer at Dartmouth Health in New Hampshire from 2018-2020. Hierarchical logistic regression was used to identify physician factors associated with telehealth encounters post COVID-19. Patient-sharing networks for each cancer type before and post COVID-19 were characterized with global network measures. Exponential-family random graph models were performed to estimate homophily terms for the likelihood of ties existing between physicians colocated at the hub comprehensive cancer center. RESULTS: Of the 12,559 encounters between patients and oncologists post COVID-19, 1228 (9.8%) were via telehealth. Patient encounters with breast oncologists who practiced at the hub hospital were over twice as likely to occur via telehealth compared to encounters with oncologists who practiced in regional facilities (odds ratio 2.2, 95% CI 1.17-4.15; P=.01). Patient encounters with oncologists who practiced in multiple locations were less likely to occur via telehealth, and this association was statistically significant for lung cancer care (odds ratio 0.26, 95% CI 0.09-0.76; P=.01). We observed an increase in ties between oncologists at the hub hospital and oncologists at regional facilities in the lung cancer network post COVID-19 compared to before COVID-19 (93/318, 29.3%, vs 79/370, 21.6%, respectively), which was also reflected in the lower homophily coefficients post COVID-19 compared to before COVID-19 for physicians being colocated at the hub hospital (estimate: 1.92, 95% CI 1.46-2.51, vs 2.45, 95% CI 1.98-3.02). There were no significant differences observed in breast cancer or colorectal cancer networks. CONCLUSIONS: Telehealth use and associated changes to patient-sharing patterns associated with telehealth varied by cancer type, suggesting disparate approaches for integrating telehealth across clinical groups within this health system. The limited changes to the patient-sharing patterns between oncologists at the hub hospital and regional facilities suggest that telehealth was less likely to create new referral patterns between these types of facilities and rather replace care that would otherwise have been delivered in person. However, this study was limited to the 2 years immediately following the initial outbreak of COVID-19, and longer-term follow-up may uncover delayed effects that were not observed in this study period.

National cross-sectional cohort study of the relationship between quality of mental healthcare and death by suicide.

BACKGROUND: Patient safety-based interventions aimed at lethal means restriction are effective at reducing death by suicide in inpatient mental health settings but are more challenging in the outpatient arena. As an alternative approach, we examined the association between quality of mental healthcare and suicide in a national healthcare system. METHODS: We calculated regional suicide rates for Department of Veterans Affairs (VA) Healthcare users from 2013 to 2017. To control for underlying variation in suicide risk in each of our 115 mental health referral regions (MHRRs), we calculated standardised rate ratios (SRRs) for VA users compared with the general population. We calculated quality metrics for outpatient mental healthcare in each MHRR using individual metrics as well as an Overall Quality Index. We assessed the correlation between quality metrics and suicide rates. RESULTS: Among the 115 VA MHRRs, the age-adjusted, sex-adjusted and race-adjusted annual suicide rates varied from 6.8 to 92.9 per 100 000 VA users, and the SRRs varied between 0.7 and 5.7. Mean regional-level adherence to each of our quality metrics ranged from a low of 7.7% for subspecialty care access to a high of 58.9% for care transitions. While there was substantial regional variation in quality, there was no correlation between an overall index of mental healthcare quality and SRR. CONCLUSION: There was no correlation between overall quality of outpatient mental healthcare and rates of suicide in a national healthcare system. Although it is possible that quality was not high enough anywhere to prevent suicide at the population level or that we were unable to adequately measure quality, this examination of core mental health services in a well-resourced system raises doubts that a quality-based approach alone can lower population-level suicide rates.

Influence of contextual factors on death by suicide in rural and urban settings.

PURPOSE: To examine the association between contextual factors, represented by geographic and community health variables, and suicide among rural and urban Department of Veterans Affairs health care users (VA users). METHODS: We performed a retrospective cohort study of 12,700,847 VA users between 2003 and 2017. We assigned contextual factors based on individuals' home address at the ZIP Code (area deprivation), county (sunlight exposure, altitude, and community health), and state level (firearm ownership), using publicly available data sources. We grouped contextual factors by quintiles or prespecified thresholds, depending on the nature of each variable. We obtained mortality data from the National Death Index. We measured the effect of living in a place with the highest versus lowest level of each contextual factor on odds of suicide using logistic regression, adjusting for individual compositional factors abstracted from VA electronic medical records data. We used random forest modeling to build prediction models for suicide based on contextual factors among rural and urban veterans. FINDINGS: Almost all contextual factors we examined were significantly associated with suicide among rural and urban VA users, even after adjusting for individual compositional factors. However, no contextual variables were strong protective or risk factors (0.52.0), and prediction models leveraging these contextual factors had poor accuracy among both rural (0.51, 95% CI: 0.48-0.54) and urban (0.53, 95% CI: 0.51-0.55) VA users. CONCLUSIONS: A wide variety of contextual factors is significantly associated with suicide among rural and urban VA users. However, the factors we measured contributed very little to individual-level suicide risk.

Patient and Clinical Factors Associated With Response to Medications for Posttraumatic Stress Disorder.

Objective: Fluoxetine, paroxetine, sertraline, topiramate, and venlafaxine have previously shown efficacy for posttraumatic stress disorder (PTSD) in randomized clinical trials. Two prior studies using Department of Veterans Affairs (VA) medical records data show these medications are also effective in routine practice. Using an expanded retrospective cohort, we assessed the possibility of differential patterns of response based on patient and clinical factors.Methods: We identified 6,839 VA outpatients with clinical diagnoses of PTSD between October 1999 and September 2019 who initiated one of the medications and met pre-specified criteria for treatment duration and dose, combined with baseline and endpoint PTSD checklist (PCL) measurements. We compared 12-week changes in PCL score within clinical subgroups defined by sex, race and ethnicity, and military exposures, as well as comorbidities. Comorbidities were identified using International Classification of Diseases diagnostic codes and grouped according to major diagnostic classifications in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (eg, Psychotic Disorders, Depressive Disorders). We used a propensity score weighting approach to balance covariates among medication arms within each clinical subgroup. In our exploratory analyses using unweighted data for the overall cohort, we built penalized logistic regression models to identify covariates that predicted meaningful improvement.Results: There were no significant differences between medications in our weighted subgroup analyses. In unweighted exploratory analyses, higher baseline PCL scores and concurrent receipt of evidence-based psychotherapy predicted meaningful improvement, while high levels of disability predicted not realizing meaningful improvement.Conclusions: In the largest real-world study of medications for PTSD to date, we did not observe a pattern of differential response among clinical subgroups. All patients taking medications for PTSD, especially those with the highest levels of disability, should consider combined treatment with evidence-based psychotherapy.

The Effect of Meteorological, Pollution, and Geographic Exposures on Death by Suicide: A Scoping Review.

Suicide is a significant public health concern worldwide and in the United States. Despite the far-reaching impact of suicide, risk factors are still not well understood and efforts to accurately assess risk have fallen short. Current research has highlighted how potentially modifiable environmental exposures (i.e., meteorological, pollution, and geographic exposures) can affect suicide risk. A scoping review was conducted to evaluate the strength of the historical and current literature on the environment's effect on suicide and suicide risk. Three databases (i.e., Medline, Embase, and PsychInfo) were reviewed to identify relevant studies and two authors independently reviewed studies considering pre-determined inclusion criteria. A total of 46 meteorological studies were included as well as 23 pollution studies and 12 geographic studies. Descriptive statistics, including counts, percentages, review of studies' sample size (minimum, maximum, median, and interquartile range), were calculated using Excel and SAS 9.4. Overall, strong evidence supports that exposure to sunlight, temperature, air pollution, pesticides, and high altitude increases suicide risk, although effect sizes range from very small to small.

Recent trends in the rural-urban suicide disparity among veterans using VA health care.

There is an elevated risk of suicide among people living in rural areas, and the rural-urban disparity in death by suicide is growing in the general United States population. The department of Veterans Affairs (VA) implemented programs targeting rural health in 2007 and suicide prevention in 2008. Rural-urban differences in suicide rates among VA users have not been examined since 2010. We sought to understand whether the rural-urban disparity in suicide risk among VA users decreased during a time of contemporaneous VA efforts to improve access to mental health care for rural Veterans and to improve the effectiveness of mental health services at preventing suicide. We performed a retrospective cohort study examining differences in the raw and adjusted annual suicide rate among rural and urban VA users between 2003 and 2017. All VHA users 2003-2017. Descriptive statistics are presented for all VHA users in 2017. This includes 6,120,355 unique VA users, 32.0% (n = 1,955,935) of whom lived at a rural address. Raw rates of death by suicide were higher in rural VA users than urban VA users overall (33.3 vs. 29.1 deaths per 100,000 population) and across years, but the age, sex, and race-adjusted rates converged in 2005. White VA users had over triple the rate of death by suicide as black VA users, and lived disproportionally in rural areas. The rural-urban suicide disparity among VA users persists. However, the disparity appears to be driven by differences in the racial composition of rural and urban patients, which were not accounted for in prior studies.

Comparing Medications for DSM-5 PTSD in Routine VA Practice.

OBJECTIVE: Fluoxetine, paroxetine, sertraline, topiramate, and venlafaxine have previously shown efficacy for posttraumatic stress disorder (PTSD). One prior study using US Department of Veterans Affairs (VA) medical records data to compare these agents found no differences in symptom reduction in clinical practice. The current study addresses several weaknesses in that study, including limited standardization of treatment duration, inability to account for prior treatment receipt, use of an outdated symptomatic assessment for PTSD, and lack of functional outcome. METHODS: A total of 834 VA outpatients were identified with DSM-5 clinical diagnoses of PTSD between October 2016 and March 2018 who initiated one of the medications and met prespecified criteria for treatment duration and dose, combined with baseline and endpoint DSM-5 PTSD Checklist (PCL-5) measurements. Twelve-week acute-phase changes in PCL-5 score and remission of PTSD symptoms were compared among patients receiving the different medications, as was use of acute psychiatric services in the subsequent 6-month continuation phase. RESULTS: In the acute phase, patients improved by a mean of 6.8-10.1 points on the PCL-5 and 0.0%-10.9% achieved remission of PTSD symptoms. Those taking venlafaxine were significantly more likely to achieve remission (P = .008 vs fluoxetine and P < .0001 vs paroxetine, sertraline, and topiramate). In the continuation phase, there were no differences in acute psychiatric care use between medications. Those who continued their medication were less likely to use acute psychiatric services (HR = 0.55; P = .03). CONCLUSIONS: There may be an advantage to venlafaxine over other agents in achieving acute-phase remission for DSM-5 PTSD in routine clinical practice, but this finding requires further study. Regardless of the agent chosen, medication cessation during the continuation phase is associated with a higher risk of acute psychiatric care use.

Associations between Medication Assisted Therapy Services Delivery and Mortality in a National Cohort of Veterans with Posttraumatic Stress Disorder and Opioid Use Disorder.

Objective: Opioid use disorder (OUD) is a notable concern in the United States (US) and strongly associated with mortality. There is a high prevalence of OUD in patients with posttraumatic stress disorder (PTSD) and the mortality associated with OUD may be exacerbated in patients with PTSD. Medication-assisted treatment (MAT) for OUD has become standard of care for OUD and has been shown to reduce mortality. However, there has been little study of MAT and mortality in patients with PTSD and OUD. Methods: We conducted a retrospective cohort study in U.S. veterans who had newly engaged in PTSD treatment, were diagnosed with OUD and were provided MAT for at least one day between 2004 and 2013. We assessed mortality for one year following the index diagnosis date. We calculated all-cause mortality as well as death by external cause, overdose plus suicide, overdose, and suicide rates per 100,000. We used hazard ratios (HR) and 95% confidence intervals (CI) to compare death rates between patients with high versus low adherence to MAT. We evaluated the impact of high versus low exposure to general substance abuse care. We considered a confidence interval that did not cross one to be significant. Results: A total of 5,901 patients met inclusion criteria. Most patients were men and the average age was 43.3 years (SD = 13.8). The all-cause mortality rate was 1,370 per 100,000 patients. High adherence to MAT resulted in a non-significant, decreased risk for death due to all-cause (HR = 0.73, 95% CI [0.47, 1.13]), external cause (HR = 0.71, 95% CI [0.38, 1.35]), and overdose or suicide (HR = 0.66, 95% CI [0.33, 1.35]). Patients with high exposure (≥ 60 days) to general substance abuse care were significantly less likely to die due to external cause (HR = 0.39, 95% CI [0.18, 0.85]) and overdose or suicide (HR = 0.31, 95% CI [0.12, 0.77]). Conclusions: In patients with PTSD and OUD, improved adherence to MAT and greater exposure to general substance abuse care may result in lower mortality. Studies with longer follow-up and larger sample sizes to assess the impact of MAT on suicide are needed to confirm our findings.

Using patient-reported outcomes to understand the effectiveness of guideline-concordant care for post-traumatic stress disorder in clinical practice.

RATIONALE: Identifying predictors of improvement amongst patients receiving routine treatment for post-traumatic stress disorder (PTSD) could provide information about factors that influence the clinical effectiveness of guideline-concordant care. This study builds on prior work by accounting for delivery of specific evidence-based treatments (EBTs) for PTSD while identifying potential predictors of clinical improvement using patient-reported outcomes measurement. METHOD: Our sample consisted of 2 643 US Department of Veterans Affairs (VA) outpatients who initiated treatment for PTSD between 2008 and 2013 and received at least four PTSD checklist (PCL) measurements over 12 weeks. We obtained PCL data as well as demographic, diagnostic, and health services use information from the VA corporate data warehouse. We used latent trajectory analysis to identify classes of patients based on PCL scores, then determined demographic, diagnostic, and treatment predictors of membership in each class. RESULTS: Patients who met our PCL-based inclusion criteria were far more likely than those who did not receive EBTs. We identified two latent trajectories of PTSD symptoms. Patients in the substantial improvement group (25.9%) had a mean decrease in PCL score of 16.24, whereas patients in the modest improvement group improved by a mean of 8.09 points. However, there were few differences between the groups, and our model to predict group membership was only slightly better than chance (area under the curve [AUC] = 0.55). Of the 64 covariates we tested, the only robust individual predictor of improvement was gender, with men having lower odds of being in the substantial improvement group compared with women (odds ratio [OR] 0.76; 95% confidence interval [CI] 0.58-0.96). CONCLUSION: VA patients with PTSD can realize significant improvement in routine clinical practice. Although available medical records-based variables were generally insufficient to predict improvement trajectory, this study did indicate that men have lower odds of substantial improvement than women.

Hypoxia-related risk factors for death by suicide in a national clinical sample.

The relationship between three markers of chronic hypoxia (altitude, smoking and chronic obstructive pulmonary disease (COPD)) and suicide risk has not been well-studied. We conducted a population-based cohort study evaluating the association between chronic hypoxia and suicide risk. Patients entered the cohort in their first year with a documented healthcare encounter and remained in the cohort until their death or the end of the study period. Generalized estimating equation (GEE) methodology was used to assess the association between suicide and three risk markers of chronic hypoxia. Findings were summarized using odds ratio (OR) and 95% confidence intervals (CI). Among the 9,620,944 patients in the cohort, there were 22,403 suicide deaths. There was a statistically significant progression of suicide risk as altitude rose in increments of 1000 m (OR: 1.22). There was a strong association between the number of hypoxic conditions and the odds of suicide. Patients with three markers of chronic hypoxia was nearly four times more likely to die by suicide than patients with no markers (OR: 3.96). Chronic hypoxia is a risk factor for suicide and having multiple indicators of hypoxia confers a greater risk for suicide, indicating a dose-response relationship.