A major aim of the 21st Century Cures Act is to support patients access to their electronic health data and to prevent information blocking practices by health care organizations and health information technology developers. Prior to the Cures Act, significant variation existed in patient access to laboratory test results, key pieces of health data which enable timely self-management and engagement in care. Although many health care systems began releasing test results immediately through patient portals because of the Cures Act, implementation remains challenging due to variations in state regulations around electronic results release, local interpretations of allowable exceptions to Cures information blocking, concerns about privacy of sensitive laboratory results, and technological limitations. This paper outlines the eight stakeholder groups involved in implementation of electronic laboratory result release to patients and describes recommendations for these groups to consider in achieving the Cures Act goals to support a patients access to their health information and control of their health care.

Background

Colorectal cancer (CRC) screening is effective but underutilized. Although physician recommendation is an important predictor of screening, considerable variation in CRC screening completion remains.

Purpose

To characterize the influence of patient trust in care providers on CRC screening behavior.

Methods

Data were collected as part of a cluster-randomized CRC screening intervention trial performed in the San Francisco Community Health Network from March 2007 to January 2012 (analysis, Spring 2012). All study participants received a recommendation to complete CRC screening from their primary care provider (PCP). Included participants were aged 50-79 years, not current with screening, and completed the Wake Forest Trust Scale (WFTS) measuring trust in PCPs and doctors in general. Primary outcome was CRC screening completion (colonoscopy or fecal occult blood testing) within 12 months following enrollment. Multivariable association adjusted for race/ethnicity, language, and other sociodemographics was estimated using generalized estimating equations with logit link and binomial distribution.

Results

WFTS response was 70.3% (701). Most participants (83%) were Latino, Asian, or black. Most had income <$30,000 (96%) and public health insurance (86%). Higher trust in PCP was associated with screening completion (OR=1.11, 95% CI=1.03, 1.17), but trust in doctors was not (OR=1.02, 95% CI=0.82, 1.28). Race, language, and other sociodemographic factors were not significant in multivariable analysis.

Conclusions

After controlling for traditional factors, trust in PCP remained the only significant driver of CRC screening completion in low-income patients. Interventions to promote CRC screening may be improved by including efforts to enhance patient trust in PCP.

Best possible medication history (BPMH) enhances the care of safety net patients, especially those with limited English proficiency and limited health literacy who are most vulnerable to medication error during the hospital admission process. Our large urban academic safety net centre faced numerous barriers to achieve BPMH among hospitalised patients including communication barriers that increase the time and complexity of eliciting BPMH, frequent provider turnover at our training institution and lack of an electronic health record (EHR) medication reconciliation tool to facilitate BPMH collection and monitoring.Leveraging opportunities afforded by the US federal incentive EHR programme, our multidisciplinary team designed an EHR-facilitated medication reconciliation programme by which pharmacy technicians engaged newly admitted patients and their caregivers at the bedside to develop and electronically document the BPMH.Prior to this intervention, pharmacy technicians had no role in BPMH. Providers collected home medications documented on paper notes without a consistent methodology. With each plan-do-study-act (PDSA) cycle since the programme began, the goal was to increase the per cent of BPMH completed by a pharmacy technician. Individual PDSA cycles targeted either the pharmacy technicians by expanding their pool of eligible patients or provider engagement with the pharmacy technician workflow.By optimising not only the health information technology platform but also the operational processes, the programme achieved a nearly 80% generation of BPMH completed by a highly trained pharmacy technician, surpassing its intended goal of 50% BPMH completion by a pharmacy technician on admission.An EHR-facilitated tool improved BPMH at an urban academic safety net hospital using pharmacy technicians.

Background

Clinicians have difficulty accurately assessing medication non-adherence within chronic disease care settings. Health information technology (HIT) could offer novel tools to assess medication adherence in diverse populations outside of usual health care settings. In a multilingual urban safety net population, we examined the validity of assessing adherence using automated telephone self-management (ATSM) queries, when compared with non-adherence using continuous medication gap (CMG) on pharmacy claims. We hypothesized that patients reporting greater days of missed pills to ATSM queries would have higher rates of non-adherence as measured by CMG, and that ATSM adherence assessments would perform as well as structured interview assessments.

Methods

As part of an ATSM-facilitated diabetes self-management program, low-income health plan members typed numeric responses to rotating weekly ATSM queries: "In the last 7 days, how many days did you MISS taking your …" diabetes, blood pressure, or cholesterol pill. Research assistants asked similar questions in computer-assisted structured telephone interviews. We measured continuous medication gap (CMG) by claims over 12 preceding months. To evaluate convergent validity, we compared rates of optimal adherence (CMG ≤ 20%) across respondents reporting 0, 1, and ≥ 2 missed pill days on ATSM and on structured interview.

Results

Among 210 participants, 46% had limited health literacy, 57% spoke Cantonese, and 19% Spanish. ATSM respondents reported ≥1 missed day for diabetes (33%), blood pressure (19%), and cholesterol (36%) pills. Interview respondents reported ≥1 missed day for diabetes (28%), blood pressure (21%), and cholesterol (26%) pills. Optimal adherence rates by CMG were lower among ATSM respondents reporting more missed days for blood pressure (p = 0.02) and cholesterol (p < 0.01); by interview, differences were significant for cholesterol (p = 0.01).

Conclusions

Language-concordant ATSM demonstrated modest potential for assessing adherence. Studies should evaluate HIT assessments of medication beliefs and concerns in diverse populations.

Trial registration

NCT00683020 , registered May 21, 2008.

Purpose

To describe use of complementary health approaches (CHAs) among patients with type 2 diabetes, and independent associations between CHA use and Hemoglobin A1c (A1C) and lower-density lipoprotein (LDL) cholesterol.

Methods

Participants were enrolled onto the SMARTSteps Program, a diabetes self-management support program conducted between 2009 and 2013 in San Francisco. At the 6-month interview, CHA use in the prior 30 days was estimated using a 12-item validated instrument. Demographic and diabetes-related measures A1C were assessed at baseline and 6-month followup. AIC and LDL values were ascertained from chart review over the study period. Medication adherence was measured using pharmacy claims data at 6 and 12 months.

Results

Patients (n = 278) completed 6-month interviews: 74% were women and 71.9% were non-English speaking. Any CHA use was reported by 51.4% overall. CHA modalities included vitamins/nutritional supplements (25.9%), spirituality/prayer (21.2%), natural remedies/herbs (24.5%), massage/acupressure (11.5%), and meditation/yoga/tai chi (10.4%). CHA costs per month were $43.86 (SD = 118.08). Nearly one third reported CHA (30.0%) specifically for their type 2 diabetes. In regression models, elevated A1C (>8.0%) was not significantly associated with overall CHA use (odds ratio [OR] = 1.78; 95% confidence interval [CI], 0.7 to 4.52) whereas elevated LDL was (OR = 3.93; 95% CI, 1.57 to 9.81). With medication adherence added in exploratory analysis, these findings were not significant.

Conclusions

CHA use is common among patients with type 2 diabetes and may be associated with poor cardiometabolic control and medication adherence.

The objective was to determine whether automated telephone self-management support (ATSM) for low-income, linguistically diverse health plan members with diabetes affects health care utilization or cost. A government-sponsored managed care plan for low-income patients implemented a demonstration project between 2009 and 2011 that involved a 6-month ATSM intervention for 362 English-, Spanish-, or Cantonese-speaking members with diabetes from 4 publicly funded clinics. Participants were randomized to immediate intervention or a wait-list. Medical and pharmacy claims used in this analysis were obtained from the managed care plan. Medical claims included hospitalizations, ambulance use, emergency department visits, and outpatient visits. In the 6-month period following enrollment, intervention participants generated half as many emergency department visits and hospitalizations (rate ratio 0.52, 95% CI 0.26, 1.04) compared to wait-listed participants, but these differences did not reach statistical significance (P=0.06). With adjustment for prior year cost, intervention participants also had a nonsignificant reduction of $26.78 in total health care costs compared to wait-listed individuals (P=0.93). The observed trends suggest that ATSM could yield potential health service benefits for health plans that provide coverage for chronic disease patients in safety net settings. ATSM should be further scaled up to determine whether it is associated with a greater reduction in health care utilization and costs.