146 research outputs found

    Is there a nonadherent subtype of hypertensive patient? A latent class analysis approach

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    To determine subtypes of adherence, 636 hypertensive patients (48% White, 34% male) reported adherence to medications, diet, exercise, smoking, and home blood pressure monitoring. A latent class analysis approach was used to identify subgroups that adhere to these five self-management behaviors. Fit statistics suggested two latent classes. The first class (labeled “more adherent”) included patients with greater probability of adhering to recommendations compared with the second class (labeled “less adherent”) with regard to nonsmoking (97.7% versus 76.3%), medications (75.5% versus 49.5%), diet (70.7% versus 46.9%), exercise (63.4% versus 27.2%), and blood pressure monitoring (32% versus 3.4%). Logistic regression analyses used to characterize the two classes showed that “more adherent” participants were more likely to report full-time employment, adequate income, and better emotional and physical well-being. Results suggest the presence of a less adherent subtype of hypertensive patients. Behavioral interventions designed to improve adherence might best target these at-risk patients for greater treatment efficiency

    Urinary Incontinence and Health-Seeking Behavior Among White, Black, and Latina Women

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    Fewer than half of women with urinary incontinence (UI) seek care for their condition. Our objective was to qualitatively assess themes surrounding treatment seeking behaviors

    Study protocol: The Adherence and Intensification of Medications (AIM) study - a cluster randomized controlled effectiveness study

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    Abstract Background Many patients with diabetes have poor blood pressure (BP) control. Pharmacological therapy is the cornerstone of effective BP treatment, yet there are high rates both of poor medication adherence and failure to intensify medications. Successful medication management requires an effective partnership between providers who initiate and increase doses of effective medications and patients who adhere to the regimen. Methods In this cluster-randomized controlled effectiveness study, primary care teams within sites were randomized to a program led by a clinical pharmacist trained in motivational interviewing-based behavioral counseling approaches and authorized to make BP medication changes or to usual care. This study involved the collection of data during a 14-month intervention period in three Department of Veterans Affairs facilities and two Kaiser Permanente Northern California facilities. The clinical pharmacist was supported by clinical information systems that enabled proactive identification of, and outreach to, eligible patients identified on the basis of poor BP control and either medication refill gaps or lack of recent medication intensification. The primary outcome is the relative change in systolic blood pressure (SBP) measurements over time. Secondary outcomes are changes in Hemoglobin A1c, low-density lipoprotein cholesterol (LDL), medication adherence determined from pharmacy refill data, and medication intensification rates. Discussion Integration of the three intervention elements - proactive identification, adherence counseling and medication intensification - is essential to achieve optimal levels of control for high-risk patients. Testing the effectiveness of this intervention at the team level allows us to study the program as it would typically be implemented within a clinic setting, including how it integrates with other elements of care. Trial Registration The ClinicalTrials.gov registration number is NCT00495794.http://deepblue.lib.umich.edu/bitstream/2027.42/78258/1/1745-6215-11-95.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78258/2/1745-6215-11-95.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/78258/3/1745-6215-11-95-S1.DOCPeer Reviewe

    Improving Care Coordination for Veterans Within VA and Across Healthcare Systems

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    The VA faces a plethora of care coordination challenges. Many Veterans have multiple conditions and providers, and many get a portion of their care in the community, a number that will only grow as recent legislation expands options for private care. These challenges have spawned new VA initiatives for redesigning care to meet them, described in this supplement in an editorial by Hosenfeld and colleagues. The VA Health Services Research and Development (HSR&D) service, in partnership with VA’s Office of Primary Care, and Office of Community Care, sponsored a State of the Art (SOTA) conference with the goals of (a) summarizing what is known about care coordination relevant to Veterans’ care; (b) identifying care coordination approaches ready for wider dissemination and implementation within VA; and (c) identifying a research agenda and recommendations, as appropriate, for increasing VA’s knowledge and use of evidence-based approaches for coordinating care. Held in March 2018, the SOTA was jointly planned by VA HSR&D and Offices of Primary Care, Community Care, Nursing Services, and Care Management and Social Work, and convened VA and non-VA health services researchers, clinicians, and policy makers. This supplement presents recommendations from the SOTA as well as original research papers on care coordination strategies within VA and between VA and non-VA providers

    Medication adherence: process for implementation

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    Improving medication adherence is a critically important, but often enigmatic objective of patients, providers, and the overall health care system. Increasing medication adherence has the potential to reduce health care costs while improving care quality, patient satisfaction and health outcomes. While there are a number of papers that describe the benefits of medication adherence in terms of cost, safety, outcomes, or quality of life, there are limited reviews that consider how best to seamlessly integrate tools and processes directed at improving medication adherence. We will address processes for implementing medication adherence interventions with the goal of better informing providers and health care systems regarding the safe and effective use of medications

    Recommendations for Providers on Person-Centered Approaches to Assess and Improve Medication Adherence

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    Medication non-adherence is a significant clinical challenge that adversely affects psychosocial factors, costs, and outcomes that are shared by patients, family members, providers, healthcare systems, payers, and society. Patient-centered care (i.e., involving patients and their families in planning their health care) is increasingly emphasized as a promising approach for improving medication adherence, but clinician education around what this might look like in a busy primary care environment is lacking. We use a case study to demonstrate key skills such as motivational interviewing, counseling, and shared decision-making for clinicians interested in providing patient-centered care in efforts to improve medication adherence. Such patient-centered approaches hold considerable promise for addressing the high rates of non-adherence to medications for chronic conditions

    The Role of Home Blood Pressure Telemonitoring in Managing Hypertensive Populations

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    Hypertension is a common chronic disease affecting nearly one-third of the United States population. Many interventions have been designed to help patients manage their hypertension. With the evolving climate of healthcare, rapidly developing technology, and emphasis on delivering patient-centered care, home-based blood pressure telemonitoring is a promising tool to help patients achieve optimal blood pressure (BP) control. Home-based blood pressure telemonitoring is associated with reductions in blood pressure values and increased patient satisfaction. However, additional research is needed to understand cost-effectiveness and long-term clinical outcomes of home-based BP monitoring. We review key interventional trials involving home based BP monitoring, with special emphasis placed on studies involving additionally behavioral modification and/or medication management. Furthermore, we discuss the role of home-based blood pressure telemonitoring within the context of the patient-centered medical home and the evolving role of technology

    Literacy and blood pressure – do healthcare systems influence this relationship? A cross-sectional study

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    <p>Abstract</p> <p>Background</p> <p>Limited literacy is common among patients with chronic conditions and is associated with poor health outcomes. We sought to determine the association between literacy and blood pressure in primary care patients with hypertension and to determine if this relationship was consistent across distinct systems of healthcare delivery.</p> <p>Methods</p> <p>We conducted a cross-sectional study of 1224 patients with hypertension utilizing baseline data from two separate, but similar randomized controlled trials. Patients were enrolled from primary care clinics in the Veterans Affairs healthcare system (VAHS) and a university healthcare system (UHS) in Durham, North Carolina. We compared the association between literacy and the primary outcome systolic blood pressure (SBP) and secondary outcomes of diastolic blood pressure (DBP) and blood pressure (BP) control across the two different healthcare systems.</p> <p>Results</p> <p>Patients who read below a 9<sup>th </sup>grade level comprised 38.4% of patients in the VAHS and 27.5% of the patients in the UHS. There was a significant interaction between literacy and healthcare system for SBP. In adjusted analyses, SBP for patients with limited literacy was 1.2 mmHg lower than patients with adequate literacy in the VAHS (95% CI, -4.8 to 2.3), but 6.1 mmHg higher than patients with adequate literacy in the UHS (95% CI, 2.1 to 10.1); (p = 0.003 for test of interaction). This literacy by healthcare system interaction was not statistically significant for DBP or BP control.</p> <p>Conclusion</p> <p>The relationship between patient literacy and systolic blood pressure varied significantly across different models of healthcare delivery. The attributes of the healthcare delivery system may influence the relationship between literacy and health outcomes.</p
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