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Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration.

ABSTRACT: OBJECTIVES:Polypharmacy is associated with adverse medication effects. One potential solution is deprescribing, which is the intentional, proactive, rational discontinuation of a medication that is no longer indicated or for which the potential harms outweigh the potential benefits. We identified patient characteristics, attitudes, and health care experiences associated with medication discontinuation. DESIGN, SETTING, AND PARTICIPANTS:We conducted a national mail survey, with the use of the Patient Perceptions of Discontinuation (PPoD) instrument, of 1600 veterans receiving primary care at Veterans Affairs (VA) medical centers and prescribed 5 or more concurrent medications. MAIN OUTCOME MEASURES:The primary outcome was the response to: "Have you ever stopped taking a medicine (with or without your doctor's knowledge)?" The primary predictors of interest were 8 validated attitudinal scales. Other predictors included demographics, health status, and health care experiences. RESULTS:Respondents (n = 803; adjusted response rate 52%) were predominantly male (85%); non-Hispanic white (68%), 65 years of age or older (60%), and with poor (16%) or fair (45%) health. Participant attitudes toward medications and their providers were generally favorable. One in 3 patients (34%) reported having stopped a medicine in the past. In a multivariable logistic regression model (P < 0.001; pseudo-R2 = 0.31; c-statistic = 0.82), factors associated with discontinuation included being told or asking to stop a medicine, greater interest in deprescribing and shared decision making, and higher education. Factors associated with decreased discontinuation were more prescriptions, higher trust in provider, and seeing a VA clinical pharmacist. CONCLUSION:More highly educated patients with interest in deprescribing and shared decision making may be more receptive to discontinuation discussions. Future research evaluating how to incorporate this survey and these findings into clinical workflow through the design of clinical interventions may help to promote safe and rational medication use.

SUBMITTER: Linsky A

PROVIDER: S-EPMC6788281 | biostudies-literature | 2018 Jan - Feb

REPOSITORIES: biostudies-literature

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Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration.

Linsky Amy A Simon Steven R SR Stolzmann Kelly K Meterko Mark M

Journal of the American Pharmacists Association : JAPhA 20171116 1

<h4>Objectives</h4>Polypharmacy is associated with adverse medication effects. One potential solution is deprescribing, which is the intentional, proactive, rational discontinuation of a medication that is no longer indicated or for which the potential harms outweigh the potential benefits. We identified patient characteristics, attitudes, and health care experiences associated with medication discontinuation.<h4>Design, setting, and participants</h4>We conducted a national mail survey, with the ...[more]

PMID: 29154017

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Project description:BackgroundUS healthcare organizations increasingly use physician satisfaction and attitudes as a key performance indicator. Further, many health care organizations also have an academically oriented mission. Physician involvement in research and teaching may lead to more positive workplace attitudes, with subsequent decreases in turnover and beneficial impact on patient care. This article aimed to understand the influence of time spent on academic activities and perceived quality of care in relation to job attitudes among internal medicine physicians in the Veterans Health Administration (VHA).MethodsA cross-sectional survey was conducted with inpatient attending physicians from 36 Veterans Affairs Medical Centers. Participants were surveyed regarding demographics, practice settings, workplace staffing, perceived quality of care, and job attitudes. Job attitudes consisted of three measures: overall job satisfaction, intent to leave the organization, and burnout. Analysis used a two-level hierarchical model to account for the nesting of physicians within medical centers. The regression models included organizational-level characteristics: inpatient bed size, urban or rural location, hospital teaching affiliation, and performance-based compensation.ResultsA total of 373 physicians provided useable survey responses. The majority (72%) of respondents reported some level of teaching involvement. Almost half (46%) of the sample reported some level of research involvement. Degree of research involvement was a significant predictor of favorable ratings on physician job satisfaction and intent to leave. Teaching involvement did not have a significant impact on outcomes. Perceived quality of care was the strongest predictor of physician job satisfaction and intent to leave. Perceived levels of adequate physician staffing was a significant contributor to all three job attitude measures.ConclusionsExpanding opportunities for physician involvement with research may lead to more positive work experiences, which could potentially reduce turnover and improve system performance.

Project description:BackgroundPrior opioid discontinuation studies have focused on one of two characteristics of opioid prescribing, its duration (long term vs not) or dosage (high vs low). Questions remain about the experience of patients with high-dose, long-term opioid therapy (HLOT) prescriptions who are likely to be at the highest risk for adverse events.ObjectiveWe address the following questions among the Veterans Health Administration (VHA) patients receiving HLOT: 1), How has the prevalence of discontinuation of opioids changed over time? 2), How do patient characteristics vary between those who do and do not discontinue? And 3), how does the prevalence of discontinuation vary geographically?DesignA retrospective observational study of VHA patients with HLOT between fiscal year (FY) 2014 and FY2018.ParticipantsWe identified 1,281,330 patients from VHA outpatient opioid prescription data with at least a 1-day opioid supply between FY2014 and FY2018. We identified and excluded those receiving palliative care or diagnosed with metastatic cancer.Main measuresFor a given patient and month, a patient having a 3-month moving average of ≥ 90 daily morphine milligram equivalent (MME) was defined as having HLOT. Similarly, we used a three-month average MME of zero as discontinuation.Key resultsThe prevalence of discontinuation among patients with HLOT increased from 6.3% in FY2014 to 7.8% in FY2018. Across the years, patients who discontinued were younger, less likely to be married, and more likely to have comorbidities related to substance use disorders compared with patients who continued to receive HLOT. Incidence of discontinuation among those with HLOT increased in more than half (64%) of the 129 VHA medical centers.ConclusionPrevalence of patients receiving HLOT in the VHA decreased as the incidence of discontinuation increased. Further research is needed to understand the process by which patients are discontinued and to assess the relationship between discontinuation and health outcomes.

Project description:Health services researchers within the Veterans Health Administration (VA) seek to improve the delivery of care to the Veteran population, whose medical needs often differ from the general population. The COVID-19 pandemic and restricted access to medical centers and offices forced VA researchers and staff to transition to remote work. This study aimed to characterize the work experience of health service researchers during the COVID-19 pandemic. A REDCap survey developed from the management literature was distributed in July 2020 to 800 HSR&D researchers and staff affiliated with VA Centers of Innovation. We requested recipients to forward the survey to VA colleagues. Descriptive analyses and logistic regression modeling were conducted on multiple choice and Likert scaled items. Manifest content analysis was conducted on open-text responses. Responses were received from 473 researchers and staff from 37 VA Medical Centers. About half (48%; n = 228) of VA HSR&D researchers and staff who responded to the survey experienced some interference with their research due to the COVID-19 pandemic, yet 55% (n = 260) reported their programs of research did not slow or stop. Clinician investigators reported significantly greater odds of interference than non-clinician investigators and support staff. The most common barriers to working remotely were loss of face-to-face interactions with colleagues (56%; n = 263) and absence of daily routines (25%; n = 118). Strategies teams used to address COVID-19 related remote work challenges included videoconferencing (79%; n = 375), virtual get-togethers (48%; n = 225), altered timelines (42%; n = 199), daily email updates (30%; n = 143) and virtual team huddles (16%; n = 74). Pre-pandemic VA information technology structures along with systems created to support multidisciplinary research teams working across a national healthcare system maintained and enhanced staff engagement and well-being. This study identifies how the VA structures and systems put in place prior to the COVID-19 pandemic to support a dispersed workforce enabled the continuation of vital scientific research, staff engagement and well-being during a global pandemic. These findings can inform remote work policies and practices for researchers during the current and future crises.

Project description:ImportanceElevated blood glucose levels are common in hospitalized older adults and may lead clinicians to intensify outpatient diabetes medications at discharge, risking potential overtreatment when patients return home.ObjectiveTo assess how often hospitalized older adults are discharged with intensified diabetes medications and the likelihood of benefit associated with these intensifications.Design, setting, and participantsThis retrospective cohort study examined patients aged 65 years and older with diabetes not previously requiring insulin. The study included patients who were hospitalized in a Veterans Health Administration hospital for common medical conditions between 2011 and 2013.Main outcomes and measuresIntensification of outpatient diabetes medications, defined as receiving a new or higher-dose medication at discharge than was being taken prior to hospitalization. Mixed-effect logistic regression models were used to control for patient and hospitalization characteristics.ResultsOf 16 178 patients (mean [SD] age, 73 [8] years; 15 895 [98%] men), 8535 (53%) had a preadmission hemoglobin A1c (HbA1c) level less than 7.0%, and 1044 (6%) had an HbA1c level greater than 9.0%. Overall, 1626 patients (10%) were discharged with intensified diabetes medications including 781 (5%) with new insulins and 557 (3%) with intensified sulfonylureas. Nearly half of patients receiving intensifications (49% [791 of 1626]) were classified as being unlikely to benefit owing to limited life expectancy or already being at goal HbA1c, while 20% (329 of 1626) were classified as having potential to benefit. Both preadmission HbA1c level and inpatient blood glucose recordings were associated with discharge with intensified diabetes medications. Among patients with a preadmission HbA1c level less than 7.0%, the predicted probability of receiving an intensification was 4% (95% CI, 3%-4%) for patients without elevated inpatient blood glucose levels and 21% (95% CI, 15%-26%) for patients with severely elevated inpatient blood glucose levels.Conclusions and relevanceIn this study, 1 in 10 older adults with diabetes hospitalized for common medical conditions was discharged with intensified diabetes medications. Nearly half of these individuals were unlikely to benefit owing to limited life expectancy or already being at their HbA1c goal.

Project description:ImportanceBlood pressure (BP) targets are the main measure of high-quality hypertension care in health systems. However, BP alone does not reflect intensity of pharmacological treatment, which should be carefully managed in older patients.ObjectivesTo develop and validate an electronic health record (EHR) data-only algorithm using pharmacy and BP data to capture intensive hypertension care (IHC), defined as 3 or more BP medications and BP less than 120 mm Hg, and to identify conditions associated with greater IHC, either through greater algorithm false-positive IHC, or by contributing clinically to delivering more IHC.Design, setting, and participantsThis cross-sectional study was conducted among 319 randomly selected patients aged 65 years or older receiving IHC from the Veterans Health Administration (VHA) from July 1, 2011, to June 30, 2013. Data were collected from a total of 3625 primary care visits. Data were analyzed from January 2017 to March 2020.ExposuresCalibration and measurement of the algorithm for IHC (algorithm IHC).Main outcomes and measuresFor each primary care visit, the reference standard, clinical IHC, was determined by detailed review of free-text clinical notes. The correlation in BP medication count between the EHR-only algorithm vs the reference standard and the sensitivity and specificity of the algorithm IHC were calculated. In addition, presence vs absence of contributing conditions acting in combination with hypertension management were measured to examine incidence of IHC associated with contributing conditions, including an acute condition that lowered BP (eg, dehydration), another condition requiring a BP target lower than the standard 140 mm Hg (eg, diabetes), or the patient needing a BP-lowering medication for a nonhypertension condition (eg, β-blocker for atrial fibrillation) resulting in low BP.ResultsAmong 319 patients with 3625 visits (mean [SD] age, 75.6 [7.2] years; 3592 [99.1%] men), 911 visits (25.1%) had clinical IHC by the reference standard. The algorithm for determining medication count was highly correlated with the reference standard (r = 0.84). Sensitivity of detecting clinical IHC was 92.2% (95% CI, 89.3%-95.1%), and specificity was 97.2% (95% CI, 96.1%-98.3%), suggesting that clinical IHC can be identified from routinely collected data. Only 75 visits (2.1%) were algorithm IHC false positives, 55 visits (1.5%) involved IHC with contributing conditions, and 125 visits (3.5%) involved either false-positive or IHC with contributing conditions. Among select contributing conditions, congestive heart failure (37 patients [5.2%]) was most associated with a prespecified combined false-positive or IHC with contributing conditions rate higher than 5%.Conclusions and relevanceThese findings suggest that health system data can be used reliably to estimate IHC.

Dataset Information

Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration.

Publications

Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration.

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