Telephone or Visit-Based Community Health Worker Care Management for Uncontrolled Diabetes Mellitus: A Longitudinal Study.

Community health workers (CHWs) can reduce health disparities for low income patients but type of contact and outcomes has had limited study. Low-income Hispanic primary care patients with hemoglobin A1c [HbA1c] ≥ 9% received care managment (CM) over 6 months classified as: (CM1) telephone only; (CM2) clinic visit but no calls; (CM3) clinic visit with calls; and (CM4) ≥ 2 visits ± calls. Type of CM delivery and time to DM control (HbA1c < 9%) examined in Cox proportional hazards model and more rapid control within 6 months using logistic regression. Models adjusted for demographics, clinical, and health care variables. At baseline, 523 patients had mean HbA1c 10.9% (SD = 1.7%), mean age 57.9 years (SD = 10), 58.5% women, 87.6% Hispanic, and 55.5% uninsured. CM types for patients: 51 (9.8%) CM1; 192 (36.7%) CM2; 44 (8.4%) CM3; and 236 (45.4%) CM4. Median time to HbA1c control was 197 days (95% CI [71, 548]) and 41.5% achieved control within 6 months. Compared with CM1, control was more rapid for CM2 (Hazard ratio [HR] 1.45, 95% CI [1.01, 2.09], p = 0.043) and CM4 but not significant (HR [95% CI] 1.29 [0.91, 1.83], p = 0.15). Adjusted odds of more rapid control within 6 months were twofold higher for CM2 (p = 0.04) and CM4 (p = 0.055), respectively, versus CM1. CM2 did not differ from CM1. DM control was less likely for CM by telephone only than face-to-face in clinic. To benefit vulnerable patients with uncontrolled DM, in-person engagement may be required.

Explaining Breast Density Recommendations: An Introductory Workshop for Breast Health Providers.

Introduction: High breast density is an independent risk factor for breast cancer and can decrease the sensitivity of mammography. However, evidence surrounding recommendations for patient risk stratification and supplemental screening is evolving, and providers receive limited training on breast density counseling. Methods: We implemented an introductory, interactive workshop about breast density including current evidence behind supplemental screening and risk stratification. Designed for providers who counsel women on breast health, this workshop was evaluated with internal medicine providers, primary care residents, and radiology residents. We surveyed participants about knowledge and attitudes at baseline, postintervention (residents and providers), and 3-month follow-up (providers only). We compared baseline and postintervention scores and postintervention and 3-month follow-up scores using paired t tests and McNemar's tests. Results: Internal medicine providers had significant gains in knowledge when comparing baseline to postintervention surveys (6.5-8.5 on a 10-point scale, p < .0001), with knowledge gains maintained when comparing postintervention to 3-month follow-up surveys (p = .06). Primary care and radiology residents also had significant gains in knowledge when comparing baseline to postintervention surveys (p < .004 for both). All learner groups reported increases in their confidence regarding counseling women about breast density and referring for supplemental screening. Discussion: Through this breast density session, we showed trends for increased knowledge and change in attitudes for multiple learner groups. Because we aim to prepare providers with the best currently available recommendations, these materials will require frequent updating as breast density evidence and national consensus evolve.

Barriers to health care contribute to delays in follow-up among women with abnormal cancer screening: Data from the Patient Navigation Research Program.

BACKGROUND: There is limited understanding of the association between barriers to care and clinical outcomes within patient navigation programs. METHODS: Secondary analyses of data from the intervention arms of the Patient Navigation Research Program were performed, which included navigated participants with abnormal breast and cervical cancer screening tests from 2007 to 2010. Independent variables were: 1) the number of unique barriers to care (0, 1, 2, or ≥3) documented during patient navigation encounters; and 2) the presence of socio-legal barriers originating from social policy (yes/no). The median time to diagnostic resolution of index screening abnormalities was estimated using Kaplan-Meier cumulative incidence curves. Multivariable Cox proportional hazards regression examined the impact of barriers on time to resolution, controlling for sociodemographics and stratifying by study center. RESULTS: Among 2600 breast screening participants, approximately 75% had barriers to care documented (25% had 1 barrier, 16% had 2 barriers, and 34% had ≥3 barriers). Among 1387 cervical screening participants, greater than one-half had barriers documented (31% had 1 barrier, 11% had 2 barriers, and 13% had ≥3 barriers). Among breast screening participants, the presence of barriers was associated with less timely resolution for any number of barriers compared with no barriers. Among cervical screening participants, only the presence of ≥2 barriers was found to be associated with less timely resolution. Both types of barriers, socio-legal and other barriers, were found to be associated with delay among breast and cervical screening participants. CONCLUSIONS: Navigated women with barriers resolved cancer screening abnormalities at a slower rate compared with navigated women with no barriers. Further innovations in navigation care are necessary to maximize the impact of patient navigation programs nationwide.

Association of visit-to-visit variability of hemoglobin A1c and medication adherence.

BACKGROUND: Medication nonadherence is widespread, but there are few efficient means of detecting medication nonadherence at the point of care. Visit-to-visit variability in clinical biomarkers has shown inconsistent efficiency to predict medication adherence. OBJECTIVE: To examine the performance of visit-to-visit variability (VVV) of hemoglobin A1c to predict nonadherence to antidiabetic medications. METHODS: In this cross-sectional study using a clinical and administrative database, adult members of a managed care plan at a safety-net medical center from 2008 to 2012 were included if they had ≥ 3 noninsulin antidiabetic prescription fills within the same class and ≥ 3 A1c measurements between the first and last prescription fills. The independent variable was VVV of A1c (within-subject standard deviation of A1c), and the dependent variable was medication adherence (defined by medication possession ratio) determined from pharmacy claims. Unadjusted and adjusted multivariate logistic regression models were created to examine the relationship between VVV of A1c and medication nonadherence. Receiver-operating characteristic (ROC) curves assessed the performance of the adjusted model at discriminating adherence from nonadherence. RESULTS: Among 632 eligible subjects, mean A1c was 7.7% ± 1.3%, and 83% of the sample was nonadherent to antidiabetic medications. Increasing quintiles of VVV of A1c and medication nonadherence were both associated with increased within-subject mean A1c and younger subject age. The logistic regression model (adjusted for age, sex, race/ethnicity, within-subject mean A1c, number of A1c measurements, number of days between the first and last antidiabetic medication prescription fills, and rate of primary care visits during the study period) showed a nonsignificant association of VVV of A1c and medication nonadherence (OR = 1.19, 95% CI = 0.42-3.38 for the highest quintile of VVV). Adding VVV of A1c to a model including age, sex, and race only modestly improved the C-statistic of the ROC curve from 0.6786 to 0.7064. CONCLUSIONS: VVV of A1c is not a robust predictor of antidiabetic medication nonadherence. Further innovation is needed to develop novel methods of detecting nonadherence.

Provision of family planning to women with cardiovascular risk factors.

BACKGROUND: Cardiovascular risk factors (CVRFs) in reproductive-aged women can lead to pregnancy complications and fetal anomalies. METHODS: We performed a cross-sectional analysis using data from the National Ambulatory Medical Care Survey, 2009-2010. The study sample included visits by reproductive-aged women with CVRFs diabetes, hypertension, hyperlipidemia, obesity, or tobacco use. The comparison group was visits by reproductive-aged women with no chronic disease. Family planning action was defined as counseling, medication, or procedure. RESULTS: Among an estimated 223,407,070 ambulatory visits, 30.8% were associated with at least 1 CVRF, and 17.2% had at least 1 family planning action. There was no increased frequency of family planning for visits by women with CVRFs compared with those with no chronic disease (17.4% vs 17.1%, respectively). In the multivariable model, the odds ratio (OR) of a woman with a CVRF receiving family planning was 1.2 (95% confidence interval [CI], 0.9-1.5). Visits for preventive care (OR, 2.3; 95% CI, 1.8-3.1), as well as gynecologic and sexual health care (OR, 2.6; 95% CI, 1.9-3.7), were significantly associated with increased odds of family planning. CONCLUSION: There are low rates of family planning during visits by reproductive-aged women overall, with no significant difference for visits by women with CVRFs. Comprehensive preventive visits in primary care may especially benefit women of reproductive age with CVRFs, reducing the risk of poor pregnancy outcomes.

Multiple barriers delay care among women with abnormal cancer screening despite patient navigation.

BACKGROUND: While there is widespread dissemination of patient navigation programs in an effort to reduce delays in cancer care, little is known about the impact of barriers to care on timely outcomes. METHODS: We conducted a secondary analysis of the Boston Patient Navigation Research Program (PNRP) to examine the effect that the presence of barriers had on time to diagnostic resolution of abnormal breast or cervical cancer screening tests. We used multivariable Cox proportional hazards regression with time to diagnostic resolution as the outcome to examine the effect of the number of barriers, controlling for demographic covariates and clustered by patients' primary navigator. RESULTS: There were 1481 women who received navigation; mean age was 39 years; 32% were White, 27% Black, and 31% Hispanic; 28% had private health insurance; and 38% did not speak English. Overall, half (n=745, 50%) had documentation of one or more barriers to care. Women with barriers were more likely to be older, non-White, non-English language speakers, and on public or no health insurance compared with women without barriers. In multivariable analyses, we found less timely diagnostic resolution as the number of barriers increased (one barrier, adjusted hazard ratio [aHR] 0.81 [95% CI 0.56-1.17], p=0.26; two barriers, aHR 0.55 [95% CI 0.37-0.81], p=0.0025; three or more barriers, aHR 0.31 [95% CI 0.21-0.46], p<0.0001)]. CONCLUSION: Within a patient navigation program proven to reduce delays in care, we found that navigated patients with documented barriers to care experience less timely resolution of abnormal cancer screening tests.

What do primary care prediabetes patients need? A baseline assessment of patients engaging in a technology-enhanced lifestyle intervention.

OBJECTIVE: This study assessed the baseline knowledge, perceptions, attitudes and behaviors of prediabetes patients in order to tailor a new technology-enhanced primary care-based lifestyle modification intervention. METHODS: Patients with a diagnosis of prediabetes were enrolled in a randomized, controlled pilot study, Avoiding Diabetes Thru Action Plan Targeting (ADAPT), a technology-based intervention to promote action plan discussions around patient-selected behavior change goals. RESULTS: A total of 54 adults (82% female) were enrolled in the pilot study. Most (89%) had comorbid conditions and mean BMI was 36. Participants exhibited high risk of diabetes knowledge (knowledge score 20 on a 32 point scale) and high levels of willingness to make changes to decrease diabetes risk. Number of daily steps was inversely correlated with perceived physical activity (r=-0.35082, p<0.001). Poorer scores on diet quality were inversely correlated with BMI. CONCLUSION: Participants in this sample demonstrated requisite levels of knowledge, self-efficacy, motivation and risk perception for effective behavior change. These data suggest that primary care-based prediabetes interventions can move beyond educational goals and focus on enhancing patients' ability to select, plan and enact action plans.

Social service barriers delay care among women with abnormal cancer screening.

BACKGROUND: Inequity in cancer outcomes for minorities and vulnerable populations has been linked to delays in cancer care that arise from barriers to accessing care. Social service barriers represent those obstacles related to meeting life's most basic needs, like housing and income, which are often supported by public policy, regulation and services. OBJECTIVE: To examine the association between social service barriers and timely diagnostic resolution after a cancer screening abnormality. DESIGN: Secondary analysis of the intervention arm of Boston Patient Navigation Research Program (2007-2008) conducted across six urban community health centers. Subjects with no barriers, other barriers, and social service barriers were compared on their time to diagnostic resolution. SUBJECTS: Women ≥ 18 years of age with a breast or cervical cancer screening abnormality. MAIN MEASURES: Social service barriers included: income supports, housing and utilities, education and employment, and personal/family stability and safety. Time to event analyses compared across five groups: those with no barriers, one barrier (other), one barrier (social service), two or more barriers (all other), and two or more barriers (at least one social service). KEY RESULTS: 1,481 navigated women; 31 % Hispanic, 27 % Black, 32 % White; 37 % non-English speakers and 28 % had private health insurance. Eighty-eight women (6 %) had social service barriers. Compared to those without social service barriers, those with were more likely to be Hispanic, younger, have public/no health insurance, and have multiple barriers. Those with two or more barriers (at least one social service barrier), had the longest time to resolution compared to the other four groups (aHR resolution < 60 days = 0.27, ≥ 60 days = 0.37). CONCLUSION: Vulnerable women with multiple barriers, when at least one is a social service barrier, have delays in care despite navigation. The impact of patient navigation may never be fully realized if social service barriers persist without being identified or addressed.

Posterior reversible encephalopathy syndrome (PRES) after combination chemotherapy for lymphoma.

Posterior reversible encephalopathy syndrome (PRES) is a serious neurologic disorder marked by acute neurologic symptoms and classic neuroimaging lesions. It occurs in the setting of certain medications and predisposing clinical conditions. We present a case of PRES in a patient with mantle cell lymphoma treated with systemic and intrathecal chemotherapy. The literature suggests a propensity for PRES to arise from the combination of malignancy, intensive induction chemotherapy, and intrathecal administration. PRES is an uncommon and underappreciated complication of certain chemotherapy regimens. The risk of PRES in this setting needs to be considered in managing patients with hematologic malignancies.