98 research outputs found

    A Delphi process to address medication appropriateness for older persons with multiple chronic conditions

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    BACKGROUND: Frameworks exist to evaluate the appropriateness of medication regimens for older patients with multiple medical conditions (MCCs). Less is known about how to translate the concepts of the frameworks into specific strategies to identify and remediate inappropriate regimens. METHODS: Modified Delphi method involving iterative rounds of input from panel members. Panelists (n = 9) represented the disciplines of nursing, medicine and pharmacy. Included among the physicians were two geriatricians, one general internist, one family practitioner, one cardiologist and two nephrologists. They participated in 3 rounds of web-based anonymous surveys. RESULTS: The panel reached consensus on a set of markers to identify problems with medication regimens, including patient/caregiver report of non-adherence, medication complexity, cognitive impairment, medications identified by expert opinion as inappropriate for older persons, excessively tight blood sugar and blood pressure control among persons with diabetes mellitus, patient/caregiver report of adverse medication effects or medications not achieving desired outcomes, and total number of medications. The panel also reached consensus on approaches to address these problems, including endorsement of strategies to discontinue medications with known benefit if necessary because of problems with feasibility or lack of alignment with patient goals. CONCLUSIONS: The results of the Delphi process provide the basis for an algorithm to improve medication regimens among older persons with MCCs. The algorithm will require assessment not only of medications and diagnoses but also cognition and social support, and it will support discontinuation of medications both when risks outweigh benefits and when regimens are not feasible or do not align with goals

    Agreement Between Older Persons and Their Surrogate Decision‐Makers Regarding Participation in Advance Care Planning

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    Objectives: To examine agreement between older persons and their surrogates regarding participation in advance care planning (ACP). Design: Observational cohort study. Setting: Community. Participants: Persons aged 65 and older and the individual they identified as most likely to make treatment decisions on their behalf. Measurements: Older persons were asked about participation in four activities: completion of living will, completion of healthcare proxy, communication regarding views about life‐sustaining treatment, and communication regarding views about quality versus quantity of life. Surrogates were asked whether they believed the older person had completed these activities. Results: Of 216 pairs, 81% agreed about whether a living will had been completed (Îș=0.61, 95% confidence interval (CI) 0.51–0.72). Only 68% of pairs agreed about whether a healthcare proxy had been completed (Îș=0.39, 95% CI 0.29–0.50), 64% agreed about whether they had communicated regarding life‐sustaining treatment (Îș=0.22, 95% CI 0.09–0.35), and 62% agreed about whether they had communicated regarding quality versus quantity of life (Îș=0.23, 95% CI 0.11–0.35). Conclusion: Although agreement between older persons and their surrogates regarding living will completion was good, agreement about participation in other aspects of ACP was fair to poor. Additional study is necessary to determine who is providing the most accurate report of objective ACP components and whether agreement regarding participation in ACP is associated with greater shared understanding of patient preferences

    Feasibility of Delivering a Tailored Intervention for Advance Care Planning in Primary Care Practice

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    Background/Objectives: To determine the feasibility of conducting a cluster randomized controlled trial providing individualized feedback reports to increase advance care planning (ACP) engagement in the primary care setting. Design: Pilot cluster randomized controlled trial. Setting: Two primary care practices selected for geographic colocation. Participants: Adults aged 55 years and older. Intervention: Brief assessment of readiness to engage in (stage of change for) three ACP behaviors (healthcare agent assignment, communication with agent about quality vs quantity of life, and living will completion) generating an individualized feedback report, plus a stage-matched brochure. Measures: Patient recruitment and retention, intervention delivery, baseline characteristics, and stage of change movement. Results: Recruitment rates differed by practice. Several baseline sociodemographic characteristics differed between the 38 intervention and 41 control participants, including employment status, education, and communication with healthcare agent. Feedback was successfully delivered to all intervention participants, and over 90% of participants completed a 2-month follow-up. More intervention participants demonstrated progression in readiness than did control participants, without testing for statistical significance. Conclusions: This pilot demonstrates opportunities and challenges of performing a clustered randomized controlled trial in primary care practices. Differences in the two practice populations highlight the challenges of matching sites. There was a signal for behavior change in the intervention group

    Promoting advance care planning as health behavior change: Development of scales to assess Decisional Balance, Medical and Religious Beliefs, and Processes of Change

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    Objective: To develop measures representing key constructs of the Transtheoretical Model (TTM) of behavior change as applied to advance care planning (ACP) and to examine whether associations between these measures replicate the relationships posited by the TTM. Methods: Sequential scale development techniques were used to develop measures for Decisional Balance (Pros and Cons of behavior change), ACP Values/Beliefs (religious beliefs and medical misconceptions serving as barriers to participation), Processes of Change (behavioral and cognitive processes used to foster participation) based on responses of 304 persons age ≄ 65 years. Results: Items for each scale/subscale demonstrated high factor loading (\u3e.5) and good to excellent internal consistency (Cronbach α .76–.93). Results of MANOVA examining scores on the Pros, Cons, ACP Values/Beliefs, and POC subscales by stage of change for each of the six behaviors were significant, Wilks’ λ = .555–.809, η2 = .068–.178, p ≀ .001 for all models. Conclusion: Core constructs of the TTM as applied to ACP can be measured with high reliability and validity. Practical implications: Cross-sectional relationships between these constructs and stage of behavior change support the use of TTM-tailored interventions to change perceptions of the Pros and Cons of participation in ACP and promote the use of certain Processes of Change in order to promote older persons’ engagement in ACP

    Stages of Change for the Component Behaviors of Advance Care Planning

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    Objectives: To develop stages‐of‐change measures for advance care planning (ACP), conceptualized as a group of interrelated but separate behaviors, and to use these measures to characterize older persons\u27 engagement in and factors associated with readiness to participate in ACP. Design: Observational cohort study. Setting: Community. Participants: Persons aged 65 and older recruited from physician offices and a senior center. Measurements: Stages of change for six ACP behaviors: completion of a living will and healthcare proxy, communication with loved ones regarding use of life‐sustaining treatments and quantity versus quality of life, and communication with physicians about these same issues. Results: Readiness to participate in ACP varied widely across behaviors. Whereas between approximately 50% and 60% of participants were in the action or maintenance stage for communicating with loved ones about life‐sustaining treatment and completing a living will, 40% were in the precontemplation stage for communicating with loved ones about quantity versus quality of life, and 70% and 75% were in the precontemplation stage for communicating with physicians. Participants were frequently in different stages for different behaviors. Few sociodemographic, health, or psychosocial factors were associated with stages of change for completing a living will, but a broader range of factors was associated with stages of change for communication with loved ones about quantity versus quality of life. Conclusion: Older persons show a range of readiness to engage in different aspects of ACP. Individualized assessment and interventions targeted to stage of behavior change for each component of ACP may be an effective strategy to increase participation in ACP

    Increasing Engagement in Advance Care Planning Using a Behaviour Change Model: Study Protocol for the STAMP Randomised Controlled Trials

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    Introduction Advance care planning (ACP) is a key component of high-quality end-of-life care but is underused. Interventions based on models of behaviour change may fill an important gap in available programmes to increase ACP engagement. Such interventions are designed for broad outreach and flexibility in delivery. The purpose of the Sharing and Talking about My Preferences study is to examine the efficacy of three behaviour change approaches to increasing ACP engagement through two related randomised controlled trials being conducted in different settings (Veterans Affairs (VA) medical centre and community). Methods and analysis Eligible participants are 55 years or older. Participants in the community are being recruited in person in primary care and specialty outpatient practices and senior living sites, and participants in the VA are recruited by telephone. In the community, randomisation is at the level of the practice or site, with all persons at a given practice/ site receiving either computer-tailored feedback with a behaviour stage-matched brochure (computer-tailored intervention (CTI)) or usual care. At the VA, randomisation is at the level of the participant and is stratified by the number of ACP behaviours completed at baseline. Participants are randomised to one of four groups: CTI, motivational interviewing, motivational enhancement therapy or usual care. The primary outcome is completion of four key ACP behaviours: identification of a surrogate decision maker, communication about goals, completing advance directives and ensuring documents are in the medical record. Analysis will be conducted using mixed effects models, taking into account the clustered randomisation for the community study. Ethics and randomisation The studies have been approved by the appropriate Institutional Review Boards and are being overseen by a Safety Monitoring Committee. The results of these studies will be disseminated to academic audiences and leadership in in the community and VA sites. Trial registration numbers NCT03137459 and NCT03103828

    Characteristics of Adults in the Hepatitis B Research Network in North America Reflect Their Country of Origin and Hepatitis B Virus Genotype

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    Chronic hepatitis B virus (HBV) infection is an important cause of cirrhosis and hepatocellular carcinoma worldwide; populations that migrate to the US and Canada might be disproportionately affected. The Hepatitis B Research Network (HBRN) is a cooperative network of investigators from the United States and Canada, created to facilitate clinical, therapeutic, and translational research in adults and children with hepatitis B. We describe the structure of the network and baseline characteristics of adults with hepatitis B enrolled in the network
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