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Providers' perceptions of relationships and professional roles when caring for patients who leave the hospital against medical advice.

ABSTRACT: BACKGROUND: Patients who leave hospitals against medical advice (AMA) may be at risk for adverse health outcomes. Their decision to leave may not be clearly understood by providers. This study explored providers' experiences with and attitudes toward patients who leave the hospital AMA. OBJECTIVE: To explore providers' experiences with and attitudes toward patients who leave the hospital AMA. METHODS: We conducted interviews with university-based internal medicine residents and practicing internal medicine clinicians caring for patients at a community hospital from July 2006 to August 2007. We approached 34 providers within 3 days of discharging a patient AMA. The semi-structured instrument elicited perceptions of care, emotions, and challenges faced when caring for patients who leave AMA. Using an editing analysis style, investigators independently coded transcripts, agreeing on the coding template and its application. PARTICIPANTS: All 34 providers (100%) participated. Providers averaged 32.6 years of age, 22 (61%) were men, 20 (59%) were housestaff from three residency programs, 13 (38%) were faculty, hospitalist physicians, or chief residents serving as ward attendings, and one (3%) was a physician assistant. MAIN RESULTS: Four themes emerged: 1) providers' beliefs that patients lack insight into their medical conditions; 2) suboptimal communication, mistrust, and conflict; 3) providers' attempts to empathize with patients' concerns; and 4) providers' professional roles and obligations toward patients who leave AMA. CONCLUSION: Our study revealed that patients who leave AMA influence providers' perceptions of their patients' insight, and their own patient-provider communication, empathy for patients, and professional roles and obligations. Future research should investigate educational interventions to optimize patient-centered communication and support providers in their decisional conflicts when these challenging patient-provider discussions occur.

SUBMITTER: Windish DM

PROVIDER: S-EPMC2533363 | biostudies-other | 2008 Oct

REPOSITORIES: biostudies-other

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Project description:IntroductionUnderrepresented groups experience health disparities and a history of exploitation by researchers and the health-care system that may contribute to distrust of new treatments and technologies. This study aims to understand how diverse family caregivers and health-care professionals view the benefits and risks of precision medicine as well as cultural dimensions to consider when developing and implementing precision medicine interventions in dementia care.MethodsEight focus group sessions and one individual interview were conducted over a 6-month period. Fifty-four focus group participants included African-American, American Indian, rural Caucasian, Latino, and West African caregivers and health professionals. The majority of participants were female (73%) and were of Hispanic/Latino ethnicity (68%). About a third of participants identified their race as white. Participants were presented with four hypothetical scenarios related to precision medicine diagnostic and treatment approaches in dementia care: (1) genetic testing for dementia risk, (2) health-care informatics to determine individualized medication dosages based on health and family history, (3) a smartphone application providing dementia caregiving tips, and (4) remote activity monitoring technology in the home. Focus groups' responses were coded using thematic analysis.ResultsParticipants indicated skepticism regarding the use of precision medicine in their communities. Concerns included cost of precision medicine and insurance coverage; lack of alignment with cultural norms; fraught relationships between communities, health professionals, and researchers; data ownership and privacy; and the trade-off between knowing risk and treatment benefit.DiscussionEstablishing relationships with underserved communities is crucial to advancing precision medicine in dementia care. Appropriate engagement with diverse racial, ethnic, and geographic communities may require significant investment but is necessary to deliver precision medicine effectively.

Project description:Importance:Hospital readmissions contribute to higher expenditures and may sometimes reflect suboptimal patient care. Individuals discharged against medical advice (AMA) are a vulnerable patient population and may have higher risk for readmission. Objectives:To determine odds of readmission and mortality for patients discharged AMA vs all others, to characterize patient and hospital-level factors associated with readmissions, and to quantify their overall cost burden. Design, Setting, and Participants:Nationally representative, all-payer cohort study using the 2014 National Readmissions Database. Eligible index admissions were nonobstetrical/newborn hospitalizations for patients 18 years and older discharged between January 2014 and November 2014. Admissions were excluded if there was a missing primary diagnosis, discharge disposition, length of stay, or if the patient died during that hospitalization. Data were analyzed between January 2018 and June 2018. Exposures:Discharge AMA and non-AMA discharge. Main Outcomes and Measures:Thirty-day all-cause readmission and in-hospital mortality rate. Results:There were 19.9 million weighted index admissions, of which 1.5% resulted in an AMA discharge. Within the AMA cohort, 85% were younger than 65 years, 63% were male, 55% had Medicaid or other (including uninsured) coverage, and 39% were in the lowest income quartile. Thirty-day all-cause readmission was 21.0% vs 11.9% for AMA vs non-AMA discharge (P?<?.001), and 30-day in-hospital mortality was 2.5% vs 5.6% (P?<?.001), respectively. Individuals discharged AMA were more likely to be readmitted to a different hospital compared with non-AMA patients (43.0% vs 23.9%; P?<?.001). Of all 30-day readmissions, 19.0% occurred within the first day after AMA discharge vs 6.1% for non-AMA patients (P?<?.001). On multivariable regression, AMA discharge was associated with a 2.01 (95% CI, 1.97-2.05) increased adjusted odds of readmission and a 0.80 (95% CI, 0.74-0.87) decreased adjusted odds of in-hospital mortality compared with non-AMA discharge. Nationwide readmissions after AMA discharge accounted for more than 400?000 inpatient hospitalization days at a total cost of $822 million in 2014. Conclusions and Relevance:Individuals discharged AMA have higher odds of 30-day readmission at significant cost to the health care system and lower in-hospital mortality rates compared with non-AMA patients. Patients discharged AMA are also more likely to be readmitted to different hospitals and to have earlier bounce-back readmissions, which may reflect dissatisfaction with their initial episode of care.

Project description:Social network analysis quantifies and visualizes relationships between and among individuals or organizations. Applications in the health sector remain underutilized. This systematic review seeks to analyze what social network methods have been used to study professional communication and performance among healthcare providers.Ten databases were searched from 1990 through April 2016, yielding 5970 articles screened for inclusion by two independent reviewers who extracted data and critically appraised each study. Inclusion criteria were study of health care worker professional communication, network methods used, and patient outcomes measured. The search identified 10 systematic reviews. The final set of articles had their citations prospectively and retrospectively screened. We used narrative synthesis to summarize the findings.The six articles meeting our inclusion criteria described unique health sectors: one at primary healthcare level and five at tertiary level; five conducted in the USA, one in Australia. Four studies looked at multidisciplinary healthcare workers, while two focused on nurses. Two studies used mixed methods, four quantitative methods only, and one involved an experimental design. Four administered network surveys, one coded observations, and one used an existing survey to extract network data. Density and centrality were the most common network metrics although one study did not calculate any network properties and only visualized the network. Four studies involved tests of significance, and two used modeling methods. Social network analysis software preferences were evenly split between ORA and UCINET. All articles meeting our criteria were published in the past 5 years, suggesting that this remains in clinical care a nascent but emergent research area. There was marked diversity across all six studies in terms of research questions, health sector area, patient outcomes, and network analysis methods.Network methods are underutilized for the purposes of understanding professional communication and performance among healthcare providers. The paucity of articles meeting our search criteria, lack of studies in middle- and low-income contexts, limited number in non-tertiary settings, and few longitudinal, experimental designs, or network interventions present clear research gaps.PROSPERO CRD42015019328.

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Providers' perceptions of relationships and professional roles when caring for patients who leave the hospital against medical advice.

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