Andrea López

Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access

The authors investigated use of the internet-based patient portal, kp.org, among a well-characterized population of adults with diabetes in Northern California. Among 14,102 diverse patients, 5671 (40%) requested a password for the patient portal. Of these, 4311 (76%) activated their accounts, and 3922 (69%), logged on to the patient portal one or more times; 2990 (53%) participants viewed laboratory results, 2132 (38%) requested medication refills, 2093 (37%) sent email messages, and 835 (15%) made medical appointments. After adjustment for age, gender, race/ethnicity, immigration status, educational attainment, and employment status, compared to non-Hispanic Caucasians, African-Americans and Latinos had higher odds of never logging on (OR 2.6 (2.3 to 2.9); OR 2.3 (1.9 to 2.6)), as did those without an educational degree (OR compared to college graduates, 2.3 (1.9 to 2.7)). Those most at risk for poor diabetes outcomes may fall further behind as health systems increasingly rely on the internet and limit current modes of access and communication.

The Literacy Divide: Health Literacy and the Use of an Internet-Based Patient Portal in an Integrated Health System—Results from the Diabetes Study of Northern California (DISTANCE)

Internet-based patient portals are intended to improve access and quality, and will play an increasingly important role in health care, especially for diabetes and other chronic diseases. Diabetes patients with limited health literacy have worse health outcomes, and limited health literacy may be a barrier to effectively utilizing internet-based health access services. We investigated use of an internet-based patient portal among a well characterized population of adults with diabetes. We estimated health literacy using three validated self-report items. We explored the independent association between health literacy and use of the internet-based patient portal, adjusted for age, gender, race/ethnicity, educational attainment, and income. Among 14,102 participants (28% non-Hispanic White, 14% Latino, 21% African-American, 9% Asian, 12% Filipino, and 17% multiracial or other ethnicity), 6099 (62%) reported some limitation in health literacy, and 5671 (40%) respondents completed registration for the patient portal registration. In adjusted analyses, those with limited health literacy had higher odds of never signing on to the patient portal (OR 1.7, 1.4 to 1.9) compared with those who did not report any health literacy limitation. Even among those with internet access, the relationship between health literacy and patient portal use persisted (OR 1.4, 95% CI 1.2 to 1.8). Diabetes patients reporting limited health literacy were less likely to both access and navigate an internet-based patient portal than those with adequate health literacy. Although the internet has potential to greatly expand the capacity and reach of health care systems, current use patterns suggest that, in the absence of participatory design efforts involving those with limited health literacy, those most at risk for poor diabetes health outcomes will fall further behind if health systems increasingly rely on internet-based services.

Food Insecurity and Glycemic Control Among Low-Income Patients With Type 2 Diabetes

OBJECTIVE To determine whether food insecurity—the inability to reliably afford safe and nutritious food—is associated with poor glycemic control and whether this association is mediated by difficulty following a healthy diet, diabetes self-efficacy, or emotional distress related to diabetes. RESEARCH DESIGN AND METHODS We used multivariable regression models to examine the association between food insecurity and poor glycemic control using a cross-sectional survey and chart review of 711 patients with diabetes in safety net health clinics. We then examined whether difficulty following a diabetic diet, self-efficacy, or emotional distress related to diabetes mediated the relationship between food insecurity and glycemic control. RESULTS The food insecurity prevalence in our sample was 46%. Food-insecure participants were significantly more likely than food-secure participants to have poor glycemic control, as defined by hemoglobin A1c ≥8.5% (42 vs. 33%; adjusted odds ratio 1.48 [95% CI 1.07–2.04]). Food-insecure participants were more likely to report difficulty affording a diabetic diet (64 vs. 49%, P < 0.001). They also reported lower diabetes-specific self-efficacy (P < 0.001) and higher emotional distress related to diabetes (P < 0.001). Difficulty following a healthy diet and emotional distress partially mediated the association between food insecurity and glycemic control. CONCLUSIONS Food insecurity is an independent risk factor for poor glycemic control in the safety net setting. This risk may be partially attributable to increased difficulty following a diabetes-appropriate diet and increased emotional distress regarding capacity for successful diabetes self-management. Screening patients with diabetes for food insecurity may be appropriate, particularly in the safety net setting.

Validation of Self-Reported Health Literacy Questions Among Diverse English and Spanish-Speaking Populations

BackgroundLimited health literacy (HL) contributes to poor health outcomes and disparities, and direct measurement is often time-intensive. Self-reported HL questions have not been validated among Spanish-speaking and diverse English-speaking populations.ObjectiveTo evaluate three self-reported questions:1 “How confident are you filling out medical forms?”;2 “How often do you have problems learning about your medical condition because of difficulty understanding written information?”; and3 “How often do you have someone help you read hospital materials?” Answers were based on a 5-point Likert scale.DesignThis was a validation study nested within a trial of diabetes self-management support in the San Francisco Department of Public Health.ParticipantsEnglish and Spanish-speaking adults with type 2 diabetes receiving primary care.MethodsUsing the Test of Functional Health Literacy in Adults (s-TOFHLA) in English and Spanish as the reference, we classified HL as inadequate, marginal, or adequate. We calculated the C-index and test characteristics of the three questions and summative scale compared to the s-TOFHLA and assessed variations in performance by language, race/ethnicity, age, and education.Key ResultsOf 296 participants, 48% were Spanish-speaking; 9% were White, non-Hispanic; 47% had inadequate HL and 12% had marginal HL. Overall, 57% reported being confident with forms “somewhat” or less. The “confident with forms” question performed best for detecting inadequate (C-index = 0.82, (0.77-0.87)) and inadequate plus marginal HL (C index = 0.81, (0.76-0.86); p < 0.01 for differences from other questions), and performed comparably to the summative scale. The “confident with forms” question and scale also performed best across language, race/ethnicity, educational attainment, and age.ConclusionsA single self-reported HL question about confidence with forms and a summative scale of three questions discriminated between Spanish and English speakers with adequate HL and those with inadequate and/or inadequate plus marginal HL. The “confident with forms” question or the summative scale may be useful for estimating HL in clinical research involving Spanish-speaking and English-speaking, chronically-ill, diverse populations.

What patients say about their doctors online: a qualitative content analysis.

ABSTRACTBACKGROUNDDoctor rating websites are a burgeoning trend, yet little is known about their content.OBJECTIVETo explore the content of Internet reviews about primary care physicians.DESIGNQualitative content analysis of 712 online reviews from two rating websites. We purposively sampled reviews of 445 primary care doctors (internists and family practitioners) from four geographically dispersed U.S. urban locations. We report the major themes, and because this is a large sample, the frequencies of domains within our coding scheme.RESULTSMost reviews (63%) were positive, recommending the physician. We found a major distinction between global reviews, “Dr. B is a great doctor.” vs. specific descriptions which included interpersonal manner, “She always listens to what I have to say and answers all my questions.”; technical competence “No matter who she has recommended re: MD specialists, this MD has done everything right.”; and/or systems issues such as appointment and telephone access. Among specific reviews, interpersonal manner “Dr. A is so compassionate.” and technical competence “He is knowledgeable, will research your case before giving you advice.” comments tended to be more positive (69% and 80%, respectively), whereas systems-issues comments “Staff is so-so, less professional than should be…” were more mixed (60% positive, 40% negative).CONCLUSIONSThe majority of Internet reviews of primary care physicians are positive in nature. Our findings reaffirm that the care encounter extends beyond the patient–physician dyad; staff, access, and convenience all affect patient’s reviews of physicians. In addition, negative interpersonal reviews underscore the importance of well-perceived bedside manner for a successful patient–physician interaction.

Adverse drug events in U.S. adult ambulatory medical care.

OBJECTIVE To estimate the incidence of adverse drug events (ADEs) associated with health care visits among U.S. adults across all ambulatory settings. DATA SOURCE We analyzed data from two nationally representative probability sample surveys: the National Ambulatory Medical Care Survey and the National Hospital and Ambulatory Medical Care Survey. From 2005 to 2007, the presence of an ADE was specifically defined, requested, and recorded in these surveys. STUDY DESIGN Secondary data analysis. PRINCIPAL FINDINGS An estimated 13.5 million ADE-related visits occurred between 2005 and 2007 (0.5 percent of all visits), the large majority (72 percent) occurring in outpatient practice settings, and the remaining in emergency departments. Older patients (age ≥65 years) had the highest age-specific ADE rate, 3.8 ADEs per 10,000 persons per year. In adjusted analyses of outpatient visits, there was an increased odds of an ADE-related visit with increased medication burden (odds ratio [OR] for six to eight medications compared with no medications, OR 3.83 [2.20, 6.65]), and increased odds of ADEs associated with primary care visits compared with specialty visits (OR 2.22 [1.70, 2.89]). CONCLUSIONS Approximately 4.5 million ambulatory visits related to ADEs occur each year, the majority of these in outpatient office practices. A greater focus on ADE prevention and detection is warranted among patients receiving multiple medications in primary care practices.

Food Insecurity and Hypoglycemia Among Safety Net Patients With Diabetes

In 2008, 1 in every 7 US households was food insecure, or at risk of going hungry because of an inability to afford food.(1) Food insecurity generally occurs cyclically and episodically, with periods of food adequacy followed by food scarcity; the average food insecure household experiences seven episodes of food scarcity annually.(2) We hypothesized that the cyclic nature of food insecurity, and its associated fluctuations in dietary intake, would predispose patients with diabetes to wide variations in blood glucose levels, including clinically significant hypoglycemia.

Challenges of making a diagnosis in the outpatient setting: a multi-site survey of primary care physicians

Background Although misdiagnosis in the outpatient setting leads to significant patient harm and wasted resources, it is not well studied. The authors surveyed primary care physicians (PCPs) about barriers to timely diagnosis in the outpatient setting and assessed their perceptions of diagnostic difficulty. Methods Surveys of PCPs practicing in an integrated health system across 10 geographically dispersed states in 2005. The survey elicited information on key cognitive failures (including in clinical knowledge or judgement) for a specific case, and solicited strategies for reducing diagnostic delays. Content analysis was used to categorise cognitive failures and strategies for improvement. The authors examined the extent and predictors of diagnostic difficulty, defined as reporting >5% patients difficult to diagnose. Results Of 1817 physicians surveyed, 1054 (58%) responded; 848 (80%) respondents primarily practiced in outpatient settings and had an assigned patient panel (inclusion sample). Inadequate knowledge (19.9%) was the most commonly reported cognitive factor. Half reported >5% of their patients were difficult to diagnose; more experienced physicians reported less diagnostic difficulty. In adjusted analyses, problems with information processing (information availability and time to review it) and the referral process were associated with greater diagnostic difficulty. Strategies for improvement most commonly involved workload issues (panel size, non-visit tasks). Conclusions PCPs report a variety of reasons for diagnostic difficulties in primary care practice. In this study, knowledge gaps appear to be a prominent concern. Interventions that address these gaps as well as practice level issues such as time to process diagnostic information and better subspecialty input may reduce diagnostic difficulties in primary care.

Our Environment, Our Health A Community-Based Participatory Environmental Health Survey in Richmond, California

This study presents a health survey conducted by a community-based participatory research partnership between academic researchers and community organizers to consider environmental health and environmental justice issues in four neighborhoods of Richmond, California, a low-income community of color living along the fence line of a major oil refinery and near other industrial and mobile sources of pollution. The Richmond health survey aimed to assess local concerns and perceptions of neighborhood conditions, health problems, mobile and stationary hazards, access to health care, and other issues affecting residents of Richmond. Although respondents thought their neighborhoods were good places to live, they expressed concerns about neighborhood stressors and particular sources of pollution, and identified elevated asthma rates for children and long-time Richmond residents. The Richmond health survey offers a holistic, community-centered perspective to understanding local environmental health issues, and can inform future environmental health research and organizing efforts for community–university collaboratives.

Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients

Background The extent of outpatient adverse drug events (ADEs) remains unclear. Trigger tools are used as a screening method to identify care episodes that may be ADEs, but their value in a population with high chronic-illness burden remains unclear. Methods The authors used six abnormal laboratory triggers for detecting ADEs among adults in outpatient care. Eligible patients were included if they were >18 years, sought primary or urgent care between November 2008 and November 2009 and were prescribed at least one medication. The authors then used the clinical / administrative database to identity patients with these triggers. Two physicians conducted in-depth chart review of any medical records with identified triggers. Results The authors reviewed 1342 triggers representing 622 unique episodes among 516 patients. The trigger tool identified 91 (15%) ADEs. Of the 91 ADEs included in the analysis, 49 (54%) occurred during medication monitoring, 41 (45%) during patient self-administration, and one could not be determined. 96% of abnormal international normalised ratio triggers were ADEs, followed by 12% of abnormal blood urea nitrogen triggers, 9% of abnormal alanine aminotransferase triggers, 8% of abnormal serum creatinine triggers and 3% of aspartate aminotransferase triggers. Conclusions The findings imply that other tools such as text triggers or more complex automated screening rules, which combine data hierarchically are needed to effectively screen for ADEs in chronically ill adults seen in primary care.