Impact of different cover letter content and incentives on non-response bias in a sample of Veterans applying for Department of Veterans Affairs disability benefits: a randomized, 3X2X2 factorial trial.

BACKGROUND: Non-random non-response bias in surveys requires time-consuming, complicated, post-survey analyses. Our goal was to see if modifying cover letter information would prevent non-random non-response bias altogether. Our secondary goal tested whether larger incentives would reduce non-response bias. METHODS: A mailed, survey of 480 male and 480 female, nationally representative, Operations Enduring Freedom, Iraqi Freedom, or New Dawn (OEF/OIF/OND) Veterans applying for Department of Veterans Affairs (VA) disability benefits for posttraumatic stress disorder (PTSD). Cover letters conveyed different information about the survey's topics (combat, unwanted sexual attention, or lifetime and military experiences), how Veterans' names had been selected (list of OEF/OIF/OND Veterans or list of Veterans applying for disability benefits), and what incentive Veterans would receive ($20 or $40). The main outcome, non-response bias, measured differences between survey respondents' and sampling frame's characteristics on 8 administrative variables, including Veterans' receipt of VA disability benefits and exposure to combat or military sexual trauma. Analysis was intention to treat. We used ANOVA for factorial block-design, logistic, mixed-models to assess bias and multiple imputation and expectation-maximization algorithms to assess potential missing mechanisms (missing completely at random, missing at random, or not random) of two self-reported variables: combat and military sexual assault. RESULTS: Regardless of intervention, men with any VA disability benefits, women with PTSD disability benefits, and women with combat exposure were over-represented among respondents. Interventions explained 0.0 to 31.2% of men's variance and 0.6 to 30.5% of women's variance in combat non-response bias and 10.2 to 43.0% of men's variance and 0.4 to 31.9% of women's variance in military sexual trauma non-response bias. Non-random assumptions showed that men's self-reported combat exposure was overestimated by 19.0 to 28.8 percentage points and their self-reported military sexual assault exposure was underestimated by 14.2 to 28.4 percentage points compared to random missingness assumptions. Women's self-reported combat exposure was overestimated by 8.6 to 10.6 percentage points and military sexual assault exposure, by 1.2 to 6.9 percentage points. CONCLUSIONS: Our interventions reduced bias in some characteristics, leaving others unaffected or exacerbated. Regardless of topic, researchers are urged to present estimates that include all three assumptions of missingness.

Post-deployment injury among new combat veterans enrolled in Veterans Affairs (VA) healthcare.

The purpose of this study was to examine prevalence and potential risk factors for post-deployment injury among Iraq and Afghanistan combat veterans enrolled in Veterans Affairs (VA) healthcare. A national, stratified sample of Iraq/Afghanistan combat Veteran VA users was surveyed in 2008. Mental and physical health, including medically-treated injuries sustained since deployment, were self-reported. Injury risk was estimated using survey logistic regression. Stratified ORs and 95% CIs were adjusted for potential confounders and non-response bias and weighted to represent the target population. Nearly half the population reported post-deployment injuries. In multivariate models, veterans with probable post-traumatic stress disorder (OR=2.1; 95% CI 1.3 to 3.5), self-reported diagnosed depression (OR=3.6; 95% CI 1.8 to 7.0) and anger problems (OR=2.4; 95% CI 1.4 to 4.2) had greater odds of post-deployment injury. Deployment-related injuries were also strongly associated with odds of post-deployment injury. Results suggest that mental health disorders increase the odds of post-deployment injury among combat veteran VA users. Longitudinal research examining these associations is warranted.

Mental health, frequency of healthcare visits, and colorectal cancer screening.

BACKGROUND: Research regarding the association between mental health and colorectal cancer (CRC) screening has produced mixed results. Variations may be explained by methodology, including whether potential confounders such as frequency of healthcare visits are considered. OBJECTIVE: We examined the association between mental health and CRC screening, before and after controlling for demographics, comorbidities, and outpatient visit frequency. DESIGN: Observational study based on a retrospective cohort. SUBJECTS: A total of 855 veterans receiving care at a Veterans Affairs Medical Center. MEASURES: Medical record data were used to assess CRC screening rates and mental health status (number of diagnoses and the presence of depression, anxiety, posttraumatic stress disorder, substance, or psychotic disorders). Logistic regression was used to estimate the association between mental health diagnoses and CRC screening, before and after controlling for covariates. RESULTS: Bivariate analyses suggested that CRC screening rates were higher for patients with a history of one or more mental health diagnoses (57% vs. 47%, P < 0.01). However, adjusting for timing of mental health diagnosis and outpatient visit frequency resulted in significant negative associations between CRC screening and all measures of mental health except posttraumatic stress disorder. CONCLUSIONS: Estimates of the association between mental health and CRC screening that do not adjust for outpatient visit frequency may be misleading. Veterans with mental health diagnoses were significantly less likely to be screened for CRC than their counterparts with no mental health diagnoses and an equal number of outpatient visits.

Accuracy of teledermatology for nonpigmented neoplasms.

BACKGROUND: Studies of teledermatology utilizing the standard reference of histopathology are lacking. OBJECTIVE: To compare accuracy of store-and-forward teledermatology for non-pigmented neoplasms with in-person dermatology. METHODS: This study was a repeated-measures equivalence trial involving veterans with non-pigmented skin neoplasms. Each lesion was evaluated by an in-person dermatologist and a teledermatologist; both generated a primary diagnosis, up to two differential diagnoses, and management plan. The primary outcome was aggregated diagnostic accuracy (percent correct matches of any chosen diagnosis with histopathology). Secondary outcomes included management plan accuracy (percent correct matches with expert panel management plan). Additional analyses included evaluation of the incremental effect of using polarized light dermatoscopy in addition to standard macro images, and evaluating benign and malignant lesion subgroups separately. RESULTS: Most of the 728 participants were male (97.8%) and Caucasian (98.9%). The aggregated diagnostic accuracy (primary outcome) of teledermatology (macro images) was not equivalent (95% confidence interval [CI] for difference within +/-10%) and was inferior (95% CI lower bound <10%) to in-person dermatology for all lesions and the subgroups of benign and malignant lesions. However, management plan accuracy was equivalent. Teledermatology aggregated diagnostic accuracy using polarized light dermatoscopy was significantly better than for macro images alone (P = .0017). The addition of polarized light dermatoscopy showed the same pattern for malignant lesions, but not for benign lesions. Most interestingly, for malignant lesions, the addition of polarized light dermatoscopy yielded equivalent aggregated diagnostic accuracy rates. LIMITATIONS: Non-diverse study population. CONCLUSIONS: Using macro images, the diagnostic accuracy of teledermatology was inferior to in-person dermatology, but accuracy of management plans was equivalent. The addition of polarized light dermatoscopy yielded significantly better aggregated diagnostic accuracy, but management plan accuracy was not significantly improved. For the important subgroup of malignant lesions, the addition of polarized light dermatoscopy yielded equivalent diagnostic accuracy between teledermatologists and clinic dermatologists.

Accuracy of teledermatology for pigmented neoplasms.

BACKGROUND: Accurate diagnosis and management of pigmented lesions is critical because of the morbidity and mortality associated with melanoma. OBJECTIVE: We sought to compare accuracy of store-and-forward teledermatology for pigmented neoplasms with standard, in-person clinic dermatology. METHODS: We conducted a repeated measures equivalence trial involving veterans with pigmented skin neoplasms. Each lesion was evaluated by a clinic dermatologist and a teledermatologist; both generated a primary diagnosis, up to two differential diagnoses, and a management plan. The primary outcome was aggregated diagnostic accuracy (match of any chosen diagnosis with histopathology). We also compared the severity of inappropriately managed lesions and, for teledermatology, evaluated the incremental change in accuracy when polarized light dermatoscopy or contact immersion dermatoscopy images were viewed. RESULTS: We enrolled 542 patients with pigmented lesions, most were male (96%) and Caucasian (97%). The aggregated diagnostic accuracy rates for teledermatology (macro images, polarized light dermatoscopy, and contact immersion dermatoscopy) were not equivalent (95% confidence interval for difference within +/-10%) and were inferior (95% confidence interval lower bound <10%) to clinic dermatology. In general, the addition of dermatoscopic images did not significantly change teledermatology diagnostic accuracy rates. In contrast to diagnostic accuracy, rates of appropriate management plans for teledermatology were superior and/or equivalent to clinic dermatology (all image types: all lesions, and benign lesions). However, for the subgroup of malignant lesions (n = 124), the rate of appropriate management was significantly worse for teledermatology than for clinic dermatology (all image types). Up to 7 of 36 index melanomas would have been mismanaged via teledermatology. LIMITATIONS: Nondiverse study population and relatively small number of melanomas were limitations. CONCLUSIONS: In general, the diagnostic accuracy of teledermatology was inferior whereas management was equivalent to clinic dermatology. However, for the important subgroup of malignant pigmented lesions, both diagnostic and management accuracy of teledermatology was generally inferior to clinic dermatology and up to 7 of 36 index melanomas would have been mismanaged via teledermatology. Teledermatology and teledermatoscopy should be used with caution for patients with suspected malignant pigmented lesions.

Initial results of a lung cancer screening demonstration project: a local program evaluation.

OBJECTIVES: To describe participation rates, results, and lessons learned from a lung cancer screening (LCS) demonstration project. STUDY DESIGN: Prospective observational study at 1 of 8 centers participating in a national Veterans Health Administration LCS demonstration project. METHODS: An electronic health record (EHR) algorithm and tobacco pack-year (TPY) information prompt identified patients potentially eligible for LCS. LCS invitation was planned to consist of shared decision-making materials, an invitation letter to call the LCS manager, a reminder letter, and an outreach phone call for nonresponders. The outreach call was subsequently dropped due to time constraints on the LCS manager. Lung nodules and incidental findings on LCS low-dose computed tomography (LDCT) were recorded in templated radiology reports and tracked with EHR notes. RESULTS: Of 6133 potentially eligible patients, we identified 1388 patients with eligible TPY information: 918 were invited for LCS and 178 (19%) completed LCS. LCS completion was more likely in patients in the mailing-plus-call outreach group (phase I) compared with the mail-only group (phase II) (22% vs 9%; P <.001). Among those completing an LDCT, 61% had lung nodules requiring follow-up: 43% of the nodules were less than 4 mm in diameter, 12 patients required further diagnostic evaluation, and 2 had lung malignancies. There were 179 incidental LDCT findings in 116 patients, and 20% were clinically significant. CONCLUSIONS: Important considerations in LCS are accurate identification of eligible patients, balancing invitation approaches with resource constraints, and establishing standardized methods for tracking numerous small lung nodules and incidental findings detected by LDCT.

Evaluation of prospectively collected presenting signs/symptoms of biopsy-proven melanoma, basal cell carcinoma, squamous cell carcinoma, and seborrheic keratosis in an elderly male population.

BACKGROUND: Presenting signs/symptoms of skin cancer may aid in earlier detection and diagnosis. OBJECTIVE: We sought to compare prospectively collected, presenting signs/symptoms of malignant melanoma (MM), basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and seborrheic keratosis (SK). METHODS: This analysis was part of a larger study on teledermatology involving 3039 skin neoplasms in 2152 patients at a Department of Veterans Affairs medical center. At presentation, participants were asked about signs/symptoms of specific skin lesions. In all, 912 biopsy-proven MM (39), BCC (411), SCC (238), and SK (224) were included in this analysis. Pearson chi(2) analyses were used to test associations of lesion type and specific signs/symptoms in pairwise comparisons. RESULTS: "No symptoms" was reported more often with MM (82%) as compared with BCC (relative risk [RR] 2.26, confidence interval [CI] 1.86, 2.75), SCC (RR 3.31, CI 2.54, 4.32), or SK (RR 2.0, CI 1.61, 2.48; all P < .0001). Tenderness was more commonly reported with SCC (40%) as compared with MM (RR 15.9, CI 2.28, 110.69), SK (RR 3.0, CI 2.11, 4.39), or BCC (RR 2.6, CI 1.97, 3.38; all P < .0001). Bleeding was more commonly reported with BCC (37%) as compared with SK (RR 2.3, CI 1.67, 3.20), SCC (RR 1.6, CI 1.22, 2.05), or MM (RR 29.8, CI 1.89, 469.65; all P

U.S. Veteran Health Care Utilization Increases after Caregivers' Use of National Caregiver Telephone Support Line.

The U.S. Department of Veterans Affairs (VA) established the national Caregiver Support Line (CSL) in February 2011. The CSL is operated by licensed master's degree social workers who provide caregivers of veterans with information about caregiver benefits and services, counseling, and referrals to a caregiver support coordinator at the nearest VA medical center. The authors compared differences in veteran health care utilization patterns in the six months before and after a caregiver call to the CSL, hypothesizing that veterans with caregivers using the CSL had improved access to health care services and improved access increased utilization of health care. A pre- and posttest design was used. CSL calls that resulted in referrals to VA health care services or to local VA caregiver support coordinators were included in the sample. Data were extracted from the CSL database and matched to veteran care utilization data using veteran medical record data. Veteran inpatient stays for general medicine, hospice, respite, and long-term care significantly increased after the CSL call, but other inpatient stays (surgery, neurology) did not. Outpatient services for home health, respite, and mental health all significantly increased. Caregivers' use of the national CSL may help facilitate access for veterans to needed care services.