Christine D Jones

Interventions to Improve Adherence to Self-administered Medications for Chronic Diseases in the United States: A Systematic Review

BACKGROUND Suboptimum medication adherence is common in the United States and leads to serious negative health consequences but may respond to intervention. PURPOSE To assess the comparative effectiveness of patient, provider, systems, and policy interventions that aim to improve medication adherence for chronic health conditions in the United States. DATA SOURCES Eligible peer-reviewed publications from MEDLINE and the Cochrane Library indexed through 4 June 2012 and additional studies from reference lists and technical experts. STUDY SELECTION Randomized, controlled trials of patient, provider, or systems interventions to improve adherence to long-term medications and nonrandomized studies of policy interventions to improve medication adherence. DATA EXTRACTION Two investigators independently selected, extracted data from, and rated the risk of bias of relevant studies. DATA SYNTHESIS The evidence was synthesized separately for each clinical condition; within each condition, the type of intervention was synthesized. Two reviewers graded the strength of evidence by using established criteria. From 4124 eligible abstracts, 62 trials of patient-, provider-, or systems-level interventions evaluated 18 types of interventions; another 4 observational studies and 1 trial of policy interventions evaluated the effect of reduced medication copayments or improved prescription drug coverage. Clinical conditions amenable to multiple approaches to improving adherence include hypertension, heart failure, depression, and asthma. Interventions that improve adherence across multiple clinical conditions include policy interventions to reduce copayments or improve prescription drug coverage, systems interventions to offer case management, and patient-level educational interventions with behavioral support. LIMITATIONS Studies were limited to adults with chronic conditions (excluding HIV, AIDS, severe mental illness, and substance abuse) in the United States. Clinical and methodological heterogeneity hindered quantitative data pooling. CONCLUSION Reduced out-of-pocket expenses, case management, and patient education with behavioral support all improved medication adherence for more than 1 condition. Evidence is limited on whether these approaches are broadly applicable or affect longterm medication adherence and health outcomes. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality.

Transitional care interventions to prevent readmissions for persons with heart failure: a systematic review and meta-analysis.

Heart failure (HF) is a leading cause of hospitalization and health care costs in the United States (1). Up to 25% of patients hospitalized with HF are readmitted within 30 days (25). Readmissions after an index hospitalization for HF are related to various conditions. An analysis of Medicare claims data from 2007 to 2009 found that 35% of readmissions within 30 days were for HF; the remainder were for diverse indications (for example, renal disorders, pneumonia, and arrhythmias) (2). To reduce rehospitalization of Medicare patients, in October 2012, the Centers for Medicare & Medicaid Services began decreasing reimbursements to hospitals with excessive risk-standardized readmission (6). This policy incentivizes hospitals to develop programs to reduce readmission rates for persons with HF. Despite advances in the quality of acute and chronic HF disease management, knowledge gaps remain about effective interventions to support the transition of care for persons with HF. Interventions designed to prevent readmissions among populations transitioning from one care setting to another are often called transitional care interventions (7, 8). They aim to avoid poor outcomes caused by uncoordinated care, such as preventable readmissions (9). Although no clear set of components defines transitional care interventions, they focus on patient or caregiver education, medication reconciliation, and coordination among health professionals involved in the transition. We conducted a systematic review of transitional care interventions for persons with HF for the Effective Health Care Program of the Agency for Healthcare Research and Quality (AHRQ) (10). We included a broad range of intervention types (Table 1) applicable to adults transitioning from hospital to home that aimed to prevent readmissions. Although 30-day readmissions are the focus of quality measures, we also included readmissions measured over 3 to 6 months because these are common, costly, and potentially preventable (5). The full technical report addressed 5 questions (Appendix Table 1). For this article, we focused on readmission and mortality outcomes. Table 1. Transitional Care Interventions Appendix Table 1. Scope and Key Questions* Methods We developed and followed a standard protocol. A technical report that details methods and includes complete search strategies and additional evidence tables is available at www.effectivehealthcare.ahrq.gov/reports/final.cfm. Data Sources and Searches We searched MEDLINE, the Cochrane Library, and CINAHL for English-language and human-only studies published from 1 July 2007 to late October 2013, and we used a previous technology assessment on a similar topic to identify randomized, controlled trials (RCTs) published before 1 July 2007 (11). An experienced Evidence-based Practice Center librarian conducted the searches, and a second librarian reviewed them. We manually searched reference lists of pertinent reviews, included trials, and background articles on this topic to look for relevant citations our searches might have missed. We searched for relevant unpublished studies using ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform. Study Selection We developed inclusion and exclusion criteria with respect to populations, interventions, comparators, outcomes, timing, settings, and study designs (Appendix Table 2). We included studies of adults recruited during or within 1 week of an index hospitalization for HF that compared a transitional care intervention with another eligible intervention or with usual care (that is, routine or standard care, as defined by the primary studies). We required that interventions include 1 or more of the following components: education of patient or caregiver delivered before or after discharge, planned or scheduled outpatient clinic visits (primary care or multidisciplinary heart failure [MDS-HF] clinic), home visits, telemonitoring, structured telephone support (STS), transition coach or case management, or interventions to increase provider continuity. We required studies to report a readmission rate, mortality rate, or the composite outcome (all-cause readmission or mortality). In the full report, we also assessed emergency department visits, acute care visits, hospital days of subsequent readmissions, quality of life, functional status, and caregiver or self-care burden (10). Appendix Table 2. Inclusion and Exclusion Criteria for Studies of Transitional Care Interventions for Patients Hospitalized for HF Data Extraction and Risk-of-Bias Assessment One team member extracted relevant data from each article, and a second team member reviewed all data extractions for completeness and accuracy. We used predefined criteria based on the AHRQ Methods Guide for Comparative Effectiveness Reviews (12) to rate studies as having low, medium, high, or unclear risk of bias. Two reviewers independently assessed risk of bias for each study, and disagreements were resolved by consensus. Data Synthesis and Analysis We categorized intervention types primarily on the basis of the method and environment of delivery, as defined in Table 1. One investigator categorized the intervention, and a second team member reviewed the categorization. Disagreements were resolved by consensus. Given heterogeneity of the clinic-based interventions, we subcategorized these by clinic setting: MDS-HF, nurse-led HF, or primary care. We used DerSimonianLaird random-effects models (13) for meta-analyses of outcomes reported by multiple studies that were sufficiently similar to justify combining results. We ran meta-analyses of trials that reported the number of deaths or number of persons readmitted in each group (and not total readmissions per group). When only the total number of readmissions per group was available, we contacted authors for additional data. When we could not obtain the number of persons readmitted, we did not include the results in meta-analyses; instead, we included the results in qualitative syntheses and considered them when grading the strength of evidence (SOE). For readmission and mortality rates, we calculated risk ratios (RRs). We stratified analyses for each intervention category by outcome timing and separated rates reported at 30 days from those after 30 days (that is, rates reported over 3 to 6 months were combined). We did not include studies rated as high or unclear risk of bias in our main analyses but included them in sensitivity analyses, which are available in the technical report (10); we describe them here only when they differed from primary analyses. We assessed statistical heterogeneity using the chi-square and I 2 statistics (14, 15). We calculated the number needed to treat (NNT) for readmission and mortality outcomes when we had statistically significant findings based on our primary analyses of trials rated as low or medium risk of bias, and we found at least low SOE for benefit. The NNT was derived from the RR and median usual care event rate using methods described in the Cochrane Handbook (16). We conducted meta-analyses using Stata, version 11.1 (StataCorp, College Station, Texas). We did meta-analysis stratified by intensity in each intervention category when variation existed. The results of these subgroup analyses are available in the main report (10); we describe them here only when we found a difference in efficacy based on level of intensity. Given the heterogeneity of included interventions, we could not develop a single measure of intensity that could be applied to all intervention categories. For most interventions, we defined intensity as the duration, frequency, or periodicity of patient contact and categorized each intervention as low-, medium-, or high-intensity. We reserved the low-intensity category for interventions that included 1 episode of patient contact or few resources. We graded SOE as high, moderate, low, or insufficient based on guidance established for the Evidence-based Practice Center program (17). The approach incorporates 4 key domains: risk of bias, consistency, directness, and precision. When only 1 study reported an outcome of interest, we usually graded the SOE as insufficient (primarily due to unknown consistency and imprecision); however, when similar interventions had consistent results at other time points, we graded the SOE as low. Two reviewers assessed each domain for each outcome, and differences were resolved by consensus. Role of the Funding Source The AHRQ funded this review, and AHRQ staff participated in the development of the scope of the work and reviewed draft manuscripts. Approval from AHRQ was required before the manuscript could be submitted for publication, but the authors are solely responsible for the content and the decision to submit it for publication. Results Searches of all sources identified 2419 potentially relevant citations. We included 47 RCTs (Appendix Figure 1). Trial characteristics are shown in Appendix Table 3. Most trials compared a transitional care intervention with usual care; 2 directly compared more than 1 intervention (both rated high risk of bias) (18, 19). In general, trials included adults with a mean age of 70 years who were hospitalized with a primary diagnosis of HF. Most reported HF disease severity based on the New York Heart Association classification and included persons with moderate to severe HF. Twenty-nine trials reported mean ejection fraction. Of these, 27 enrolled persons with a mean ejection fraction less than 0.50 and 7 trials specified a reduced ejection fraction as an inclusion criterion. Across most trials, the majority of patients were prescribed an angiotensin-converting enzyme inhibitor or angiotensin-receptor blocker. The percentages of patients who were prescribed -blockers at discharge varied widely across trials. Trials were conducted in a range of settings: academic medical centers, Department of Veterans Affairs hospitals,

Multisite Randomized Trial of a Single-Session Versus Multisession Literacy-Sensitive Self-Care Intervention for Patients With Heart Failure

Background— Self-care training can reduce hospitalization for heart failure (HF), and more intensive intervention may benefit more vulnerable patients, including those with low literacy. Methods and Results— A 1-year, multisite, randomized, controlled comparative effectiveness trial with 605 patients with HF was conducted. Those randomized to a single session received a 40-minute in-person, literacy-sensitive training; the multisession group received the same initial training and then ongoing telephone-based support. The primary outcome was combined incidence of all-cause hospitalization or death; secondary outcomes included HF-related hospitalization and HF-related quality of life, with prespecified stratification by literacy. Overall, the incidence of all-cause hospitalization and death did not differ between intervention groups (incidence rate ratio, 1.01; 95% confidence interval, 0.83–1.22). The effect of multisession training compared with single-session training differed by literacy group: Among those with low literacy, the multisession training yielded a lower incidence of all-cause hospitalization and death (incidence rate ratio, 0.75; 95% confidence interval, 0.45–1.25), and among those with higher literacy, the multisession intervention yielded a higher incidence (incidence rate ratio, 1.22; 95% confidence interval, 0.99–1.50; interaction P=0.048). For HF-related hospitalization, among those with low literacy, multisession training yielded a lower incidence (incidence rate ratio, 0.53; 95% confidence interval, 0.25–1.12), and among those with higher literacy, it yielded a higher incidence (incidence rate ratio, 1.32; 95% confidence interval, 0.92–1.88; interaction P=0.005). HF-related quality of life improved more for patients receiving multisession than for those receiving single-session interventions at 1 and 6 months, but the difference at 12 months was smaller. Effects on HF-related quality of life did not differ by literacy. Conclusions— Overall, an intensive multisession intervention did not change clinical outcomes compared with a single-session intervention. People with low literacy appear to benefit more from multisession interventions than people with higher literacy. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00378950.

Orthostatic Hypotension as a Risk Factor for Incident Heart Failure: The Atherosclerosis Risk in Communities Study

Heart failure causes significant morbidity and mortality. Distinguishing risk factors for incident heart failure can help identify at-risk individuals. Orthostatic hypotension may be a risk factor for incident heart failure; however, this association has not been fully explored, especially in nonwhite populations. The Atherosclerosis Risk in Communities Study included 12363 adults free of prevalent heart failure with baseline orthostatic measurements. Orthostatic hypotension was defined as a decrease of systolic blood pressure ≥20 mmHg or diastolic blood pressure ≥10 mmHg with position change from supine to standing. Incident heart failure was identified from hospitalization or death certificate disease codes. Over 17.5 years of follow-up, orthostatic hypotension was associated with incident heart failure with multivariable adjustment (hazard ratio: 1.54 [95% CI: 1.30–1.82]). This association was similar across race and sex groups. A stronger association was identified in younger individuals ⩽55 years old (hazard ratio: 1.90 [95% CI: 1.41–2.55]) than in older individuals >55 years old (hazard ratio: 1.37 [95% CI: 1.12–1.69]; interaction P=0.034). The association between orthostatic hypotension and incident heart failure persisted with exclusion of those with diabetes mellitus, coronary heart disease, and those on antihypertensives or psychiatric or Parkinson disease medications. However, exclusion of those with hypertension somewhat attenuated the association (hazard ratio: 1.34 [95% CI: 1.00–1.80]). We identified orthostatic hypotension as a predictor of incident heart failure among middle-aged individuals, particularly those 45 to 55 years of age. This association may be partially mediated through hypertension. Orthostatic measures may enhance risk stratification for future heart failure development.

A failure to communicate: a qualitative exploration of care coordination between hospitalists and primary care providers around patient hospitalizations.

BackgroundCare coordination between adult hospitalists and primary care providers (PCPs) is a critical component of successful transitions of care from hospital to home, yet one that is not well understood.ObjectiveThe purpose of this study was to understand the challenges in coordination of care, as well as potential solutions, from the perspective of hospitalists and PCPs in North Carolina.Design and ParticipantsWe conducted an exploratory qualitative study with 58 clinicians in four hospitalist focus groups (n = 32), three PCP focus groups (n = 19), and one hybrid group with both hospitalists and PCPs (n = 7).ApproachInterview guides included questions about care coordination, information exchange, follow-up care, accountability, and medication management. Focus group sessions were recorded, transcribed verbatim, and analyzed in ATLAS.ti. The constant comparative method was used to evaluate differences between hospitalists and PCPs.Key ResultsHospitalists and PCPs were found to encounter similar care coordination challenges, including (1) lack of time, (2) difficulty reaching other clinicians, (3) lack of personal relationships with other clinicians, (4) lack of information feedback loops, (5) medication list discrepancies, and (6) lack of clarity regarding accountability for pending tests and home health. Hospitalists additionally noted difficulty obtaining timely follow-up appointments for after-hours or weekend discharges. PCPs additionally noted (1) not knowing when patients were hospitalized, (2) not having hospital records for post-hospitalization appointments, (3) difficulty locating important information in discharge summaries, and (4) feeling undervalued when hospitalists made medication changes without involving PCPs. Hospitalists and PCPs identified common themes of successful care coordination as (1) greater efforts to coordinate care for “high-risk” patients, (2) improved direct telephone access to each other, (3) improved information exchange through shared electronic medical records, (4) enhanced interpersonal relationships, and (5) clearly defined accountability.ConclusionsHospitalists and PCPs encounter similar challenges in care coordination, yet have important experiential differences related to sending and receiving roles for hospital discharges. Efforts to improve coordination of care between hospitalists and PCPs should aim to understand perspectives of clinicians in each setting.

Self-Care Confidence Mediates the Relationship Between Perceived Social Support and Self-Care Maintenance in Adults With Heart Failure

BACKGROUND Social support may be associated with heart failure (HF) self-care; however, the mechanisms are not well understood. We examined the association between perceived support and self-care behaviors and whether self-care confidence mediates these relationships. METHODS Cross-sectional survey of HF patients seen in outpatient clinic settings. Our outcome (HF self-care maintenance and self-care management) and mediator (HF self-care confidence) variables were assessed with the Self-Care of Heart Failure Index. Perceived emotional/informational support was assessed with the Medical Outcomes Study social support survey. We performed regression analyses to examine associations between perceived support and HF self-care behaviors. Mediation analysis was performed according to the Baron and Kenny method. RESULTS We surveyed 150 HF patients (mean age 61 y; 51% female; 43% black). More emotional/informational support was associated with better self-care maintenance (β = 0.13; P = .04). More emotional/information support was associated with better self-care management in unadjusted (β = 0.23; P = .04), but not adjusted (β = 0.20, P = .10), analysis. Self-care confidence mediates the association between perceived support and self-care maintenance (percent change in β coefficient was 32%) and management (percent change in β coefficient was 20%). CONCLUSION Perceived emotional/informational support is associated with better self-care maintenance and possibly better self-care management. Greater self-care confidence is one mediating mechanism.

Is adherence to weight monitoring or weight-based diuretic self-adjustment associated with fewer heart failure-related emergency department visits or hospitalizations?

BACKGROUND Heart failure (HF) self-care interventions can improve outcomes, but less than optimal adherence may limit their effectiveness. We evaluated if adherence to weight monitoring and diuretic self-adjustment was associated with HF-related emergency department (ED) visits or hospitalizations. METHODS AND RESULTS We performed a case-control analysis nested in a HF self-care randomized trial. Participants received HF self-care training, including weight monitoring and diuretic self-adjustment, which they were to record in a diary. We defined case time periods as HF-related ED visits or hospitalizations in the 7 preceding days; control time periods were defined as 7-day periods free of ED visits and hospitalizations. We used logistic regression to compare weight monitoring and diuretic self-adjustment adherence in case and control time periods, adjusted for demographic and clinical covariates. Among 303 participants, we identified 81 HF-related ED visits or hospitalizations (cases) in 54 patients over 1 year of follow-up. Weight monitoring adherence (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.23-0.76) and diuretic self-adjustment adherence (OR 0.44, 95% CI 0.19-0.98) were both associated with lower adjusted odds of HF-related ED visits or hospitalizations. CONCLUSIONS Adherence to weight monitoring and diuretic self-adjustment was associated with lower odds of HF-related ED visits or hospitalizations. Adherence to these activities may reduce HF-related morbidity.

Self-reported recall and daily diary-recorded measures of weight monitoring adherence: Associations with heart failure-related hospitalization

BackgroundWeight monitoring is an important element of HF self-care, yet the most clinically meaningful way to evaluate weight monitoring adherence is uncertain. We conducted this study to evaluate the association of (1) self-reported recall and (2) daily diary-recorded weight monitoring adherence with heart failure-related (HF-related) hospitalization.MethodsWe conducted a prospective cohort study among 216 patients within a randomized trial of HF self-care training. All patients had an initial self-care training session followed by 15 calls (median) to reinforce educational material; patients were also given digital scales, instructed to weigh daily, record weights in a diary, and mail diaries back monthly. Weight monitoring adherence was assessed with a self-reported recall question administered at 12 months and dichotomized into at least daily versus less frequent weighing. Diary-recorded weight monitoring was evaluated over 12 months and dichotomized into ≥80% and <80% adherence. HF-related hospitalizations were ascertained through patient report and confirmed through record review.ResultsOver 12 months in 216 patients, we identified 50 HF-related hospitalizations. Patients self-reporting daily or more frequent weight monitoring had an incidence rate ratio of 1.34 (95% CI 0.24-7.32) for HF-related hospitalizations compared to those reporting less frequent weight monitoring. Patients who completed ≥80% of weight diaries had an IRR of 0.37 (95% CI 0.18-0.75) for HF-related hospitalizations compared to patients who completed <80% of weight diaries.ConclusionsSelf-reported recall of weight monitoring adherence was not associated with fewer HF hospitalizations. In contrast, diary-recorded adherence ≥80% of days was associated with fewer HF-related hospitalizations. Incorporating diary-based measures of weight monitoring adherence into HF self-care training programs may help to identify patients at risk for HF-related hospitalizations.

Family member accompaniment to routine medical visits is associated with better self-care in heart failure patients.

Objectives To examine the association between frequency of family member accompaniment to medical visits and heart failure (HF) self-care maintenance and management and to determine whether associations are mediated through satisfaction with provider communication. Methods Cross-sectional survey of 150 HF patients seen in outpatient clinics. HF self-care maintenance and management were assessed using the Self-Care of Heart Failure Index. Satisfaction with provider communication was assessed using a single question originally included in the American Board of Internal Medicine Patient Satisfaction Questionnaire. Frequency of family member accompaniment to visits was assessed using a single-item question. We performed regression analyses to examine associations between frequency of accompaniment and outcomes. Mediation analysis was conducted using MacKinnon’s criteria. Results Overall, 61% reported accompaniment by family members to some/most/every visit. Accompaniment to some/most/every visit was associated with higher self-care maintenance (β = 6.4, SE 2.5; p = 0.01) and management (β = 12.7, SE 4.9; p = 0.01) scores. Satisfaction with provider communication may mediate the association between greater frequency of accompaniment to visits and self-care maintenance (1.092; p = 0.06) and self-care management (1.428; p = 0.13). Discussion Accompaniment to medical visits is associated with better HF self-care maintenance and management, and this effect may be mediated through satisfaction with provider communication.

Satisfaction with electronic health records is associated with job satisfaction among primary care physicians.

OBJECTIVE To evaluate the association between electronic health record (EHR) satisfaction and job satisfaction in primary care physicians (PCPs). METHOD Cross-sectional survey of PCPs at 825 primary care practices in North Carolina. RESULTS Surveys were returned from 283 individuals across 214 practices (26% response rate for practices), of whom 122 were physicians with EHRs and no missing information. We found that for each point increase in EHR satisfaction, job satisfaction increased by ∼0.36 points both in an unadjusted and an adjusted model (β 0.359 unadjusted, 0.361 adjusted; p < 0.001 for both models). CONCLUSION We found that EHR satisfaction was associated with job satisfaction in a cross-sectional survey of PCPs. Our conclusions are limited by suboptimum survey response rate, but if confirmed may have substantial implications for how EHR vendors develop their product to support the needs of PCPs.