Relationship between staff perceptions of hospital norms and hospital-level end-of-life treatment intensity.
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ABSTRACT: Background
There are wide variations in hospital-level treatment intensity at the end of life that are not entirely explained by structural and market characteristics. Individual hospital microclimates must exist to perpetuate these practice variations.Objectives
To determine whether a closed-ended survey based upon staff perceptions of informal norms regarding life prolongation, palliation, collaborative decision-making, and patient-doctor familiarity can identify hospital microclimates and to assess whether these norms are related to variation in end-of-life treatment intensity.Design, participants, and measurements
Retrospective analysis of hospital discharge data at 11 purposively sampled Pennsylvania hospitals linked to a self-administered survey of 139 administrative and clinical staff fielded during site visits in 2004; measurements included year 2000 and 2004 rates of intensive care unit (ICU) admission, mechanical ventilation (MV), and hemodialysis among terminal hospitalizations at each hospital; survey respondent demographics, role, experience, and perceptions of their hospital's context and norms of end-of-life decision-making and treatment.Results
The purposively sampled hospitals exhibited wide variation in rates of ICU admission (38.2%-84.4%), MV (13.7%-41.4%), and hemodialysis (0%-9.2%) among terminal admissions. All 139 administered surveys were returned for a response rate of 100%. For each of 4 factors created from 19 survey items, staff responses varied more between hospitals than within hospitals (p < or = 0.03). One factor, patient-doctor familiarity, was inversely correlated with terminal ICU admission (p < 0.001) and MV (p = 0.03).Conclusions
Discrimination of differences in microclimates related to norms of treatment intensity at the end of life is feasible, but greater specificity of measurement will be required to explain objective measures of terminal admission treatment intensity.
SUBMITTER: Barnato AE
PROVIDER: S-EPMC2880574 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Hospitals vary substantially in their end-of-life (EOL) treatment intensity. It is unknown if patterns of EOL treatment intensity are consistent across conditions.To explore the relationship between hospitals' cancer- and non-cancer-specific EOL treatment intensity.We conducted a retrospective cohort analysis of Pennsylvania acute care hospital admissions for either cancer or congestive heart failure (CHF) and/or chronic obstructive pulmonary disease (COPD) between 2001 and 2007, linked to vital statistics through 2008. We calculated Bayes's shrunken case-mix standardized (observed-to-expected) ratios of intensive care and life-sustaining treatment use among two EOL cohorts: those prospectively identified at high probability of dying on admission and those retrospectively identified as terminal admissions (decedents). We then summed these to create a hospital-specific prospective and retrospective overall EOL treatment intensity index for cancer vs. CHF/COPD.The sample included 207,523 admissions with 15% or greater predicted probability of dying on admission among 172,041 unique adults and 120,372 terminal admissions at 166 hospitals; these two cohorts overlapped by 52,986 admissions. There was substantial variation between hospitals in their standardized EOL treatment intensity ratios among cancer and CHF/COPD admissions. Within hospitals, cancer- and CHF/COPD-specific standardized EOL treatment intensity ratios were highly correlated for intensive care unit (ICU) admission (prospective ? = 0.81; retrospective ? = 0.78), ICU lengths of stay (? = 0.76; 0.64), mechanical ventilation (? = 0.73; 0.73), and hemodialysis (? = 0.60; 0.71) and less highly correlated for tracheostomy (? = 0.43; 0.53) and gastrostomy (? = 0.29; 0.30). Hospitals' overall EOL intensity index for cancer and CHF admissions were correlated (prospective ? = 0.75; retrospective ? = 0.75) and had equal group means (P-value = 0.631; 0.699).Despite substantial difference between hospitals in EOL treatment intensity, within-hospital homogeneity in EOL treatment intensity for cancer- and non-cancer populations suggests the existence of condition-insensitive institutional norms of EOL treatment.
| S-EPMC4329285 | biostudies-other
Project description:PurposeProviding state-of-the-art palliative care is crucial in all areas of in- and outpatient settings. Studies on the implementation of palliative care standards for dying patients are rare.MethodsN = 141 physicians from all internal departments were polled anonymously about the treatment of dying patients using a self-designed questionnaire. Furthermore, we evaluated the terminal care of n = 278 patients who died in internal medicine departments at University Hospital Mannheim between January and June, 2019 based on clinical data of the last 48 h of life. We defined mandatory criteria for good palliative practice both regarding treatment according to patients' records and answers in physicians' survey.ResultsFifty-six physicians (40%) reported uncertainties in the treatment of dying patients (p < 0.05). Physicians caring for dying patients regularly stated to use sedatives more frequently and to administer less infusions (p < 0.05, respectively). In multivariate analysis, medical specialization was identified as an independent factor for good palliative practice (p < 0.05). Physicians working with cancer patients regularly were seven times more likely to use good palliative practice (p < 0.05) than physicians who did not. Cancer patients received good palliative practice more often than patients dying from non-malignant diseases (p < 0.05).ConclusionGuideline-based palliative care for dying patients was found to be implemented more likely and consistent within the oncology department. These results point to a potential lack of training of fellows in non-oncological departments in terms of good end-of-life care.
| S-EPMC8881441 | biostudies-literature
Project description:BackgroundHospitals are perceived as fast-paced and complex environments in which a missed or incorrect diagnosis or misread chart has the potential to lead to patient harm. However, to date, limited attention has been paid to studying how hospital sociotemporal norms may be associated with staff wellbeing or patient safety. The aim of this study was to use novel network analysis, in conjunction with well-established statistical methods, to investigate and untangle the complex interplay of relationships between hospital staff perceived sociotemporal structures, staff safety attitudes and work-related well-being.MethodCross-sectional survey data of hospital staff (n = 314) was collected from four major hospitals in Australia. The survey included subscales from the Organizational Temporality Scale (OTS), two previously established scales of safety attitudes (teamwork climate and safety climate) and measures of staff-related wellbeing (job satisfaction, emotional exhaustion, depersonalisation).ResultsUsing confirmatory factor analysis, we first tested a 19-item version of the OTS for use in future studies of hospital temporality (the OTS-H). Novel psychological network analysis techniques were then employed, which identified that "pace" (the tempo or rate of hospital activity) occupies the central position in understanding the complex relationship between temporality, safety attitudes and staff wellbeing. Using a path analysis approach, serial mediation further identified that pace has an indirect relationship with safety attitudes through wellbeing factors, that is, pace impacts on staff wellbeing, which in turn affects hospital safety attitudes.ConclusionsThe findings of this study are important in revealing that staff wellbeing and safety attitudes can be significantly improved by placing more focus on temporal norms, and in particular hospital pace. There are implications for increasing levels of trust and providing staff with opportunities to exercise greater levels of control over their work.
| S-EPMC8605531 | biostudies-literature
Project description:BACKGROUND:Hospital admissions for end-of-life patients, particularly those who die shortly after being admitted, are recognised to be an international policy problem. How patients come to be transferred to hospital for care, and the central role of decisions made by ambulance staff in facilitating transfer, are under-explored. AIM:To understand the role of ambulance staff in the admission to hospital of patients close to the end of life. DESIGN:Qualitative interviews, using particular patient cases as a basis for discussion, analysed thematically. PARTICIPANTS/SETTING:Ambulance staff ( n = 6) and other healthcare staff (total staff n = 30), involved in the transfer of patients (the case-patients) aged more than 65 years to a large English hospital who died within 3 days of admission with either cancer, chronic obstructive pulmonary disease or dementia. RESULTS:Ambulance interviewees were broadly positive about enabling people to die at home, provided they could be sure that they would not benefit from treatment available in hospital. Barriers for non-conveyance included difficulties arranging care particularly out-of-hours, limited available patient information and service emphasis on emergency care. CONCLUSION:Ambulance interviewees fulfilled an important role in the admission of end-of-life patients to hospital, frequently having to decide whether to leave a patient at home or to instigate transfer to hospital. Their difficulty in facilitating non-hospital care at the end of life challenges the negative view of near end-of-life hospital admissions as failures. Hospital provision was sought for dying patients in need of care which was inaccessible in the community.
| S-EPMC6158685 | biostudies-literature
Project description:ObjectiveBlack patients are more likely than white patients to die in the hospital with intensive care and life-sustaining treatments and less likely to use hospice. Regional concentration of high end-of-life (EOL) treatment intensity practice patterns may disproportionately affect black patients. We calculated and compared race-specific hospital-level EOL treatment intensity in Pennsylvania.MethodsWe conducted a retrospective cohort analysis of Pennsylvania acute care hospital admissions, 2001-2007, among black and white admissions ≥21 years old at high probability of dying (HPD) (≥15% predicted probability of dying at admission). We calculated hospitals' race-specific observed, expected, and Bayes' shrunken observed-to-expected ratios of intensive care unit (ICU) admission, ICU length of stay (LOS), intubation/mechanical ventilation, hemodialysis, tracheostomy, and gastrostomy among HPD admissions; and an empirically weighted EOL treatment intensity index summing these ratios.ResultsThere were 35,609 black HPD admissions (27,576 unique patients) and 311,896 white HPD admissions (252,662 unique patients) to 182 hospitals. Among 95 hospitals with ≥30 black HPD admissions, 80% of black admissions were concentrated in 29 hospitals, where black-specific observed and expected EOL measures were usually higher than white-specific measures (p < 0.001 for all but 5/24 measures). Hospitals' black-specific and white-specific observed-to-expected ratios of ICU and life-sustaining treatment (LST) (rho 0.52-0.90) and EOL index (rho = 0.92) were highly correlated. However, black-specific observed-to-expected ratios and overall EOL intensity index were consistently lower than white-specific ratios (p < 0.001 for all except hemodialysis).ConclusionsIn Pennsylvania, black-serving hospitals have higher standardized EOL treatment intensity than nonblack-serving hospitals, contributing to black patients' relatively higher use of intensive treatment. However, conditional on being admitted to the same high-intensity hospital and after risk adjustment, blacks are less intensively treated than whites.
| S-EPMC5757087 | biostudies-literature
Project description:To explore norms of decision making regarding life-sustaining treatments (LSTs) at two academic medical centers (AMCs) that contribute to their opposite extremes of end-of-life ICU use.We conducted a 4-week mixed methods case study at each AMC in 2008-2009 involving direct observation of patient care during rounds in the main medical ICU, semi-structured interviews with staff, patients, and families, and collection of artifacts (e.g., patient lists, standardized forms). We compared patterns of decision making regarding initiation, continuation, and withdrawal of LST using tests of proportions and grounded theory analysis of field note and interview transcripts.We observed 80 patients [26 (32.5 %) ?65 years old] staffed by 4 attendings, and interviewed 23 staff and 3 patients/families at the low-intensity AMC (LI-AMC), and observed 73 patients [26 (35.6 %) ?65 years old] staffed by 4 attending physicians and interviewed 26 staff and 4 patients/families at the high-intensity AMC (HI-AMC). LST initiation among patients over 65 was similar, except feeding tubes (0 % LI-AMC versus 31 % HI-AMC, p = 0.002). The LI-AMC was more likely to use a time-limited trial of LST, followed by withdrawal (27 vs. 8 %, p = 0.01) and to have a known outcome of death (31 vs. 4 %, p < 0.001). We identified qualitative differences in goals of LST, the determination of "dying," concern about harms of commission versus omission, and physician self-efficacy for LST decision making.Time-limited trials of LST at the LI-AMC and open-ended use of LST at the HI-AMC explain some of the AMCs' nationally profiled differences in end-of-life ICU use.
| S-EPMC3684418 | biostudies-literature
Project description:ImportanceThere is substantial institutional variability in the intensity of end-of-life care that is not explained by patient preferences. Hospital culture and institutional structures (eg, policies, practices, protocols, resources) might contribute to potentially nonbeneficial high-intensity life-sustaining treatments near the end of life.ObjectiveTo understand the role of hospital culture in the everyday dynamics of high-intensity end-of-life care.Design, setting, and participantsThis comparative ethnographic study was conducted at 3 academic hospitals in California and Washington that differed in end-of-life care intensity based on measures in the Dartmouth Atlas and included hospital-based clinicians, administrators, and leaders. Data were deductively and inductively analyzed using thematic analysis through an iterative coding process.Main outcome and measureInstitution-specific policies, practices, protocols, and resources and their role in the everyday dynamics of potentially nonbeneficial, high-intensity life-sustaining treatments.ResultsA total of 113 semistructured, in-depth interviews (66 women [58.4%]; 23 [20.4%] Asian, 1 [0.9%] Black, 5 [4.4%] Hispanic, 7 [6.2%] multiracial, and 70 [61.9%] White individuals) were conducted with inpatient-based clinicians and administrators between December 2018 and June 2022. Respondents at all hospitals described default tendencies to provide high-intensity treatments that they believed were universal in US hospitals. They also reported that proactive, concerted efforts among multiple care teams were required to deescalate high-intensity treatments. Efforts to deescalate were vulnerable to being undermined at multiple points during a patient's care trajectory by any individual or entity. Respondents described institution-specific policies, practices, protocols, and resources that engendered broadly held understandings of the importance of deescalating nonbeneficial life-sustaining treatments. Respondents at different hospitals reported different policies and practices that encouraged or discouraged deescalation. They described how these institutional structures contributed to the culture and everyday dynamics of end-of-life care at their institution.Conclusions and relevanceIn this qualitative study, clinicians, administrators, and leaders at the hospitals studied reported that they work in a hospital culture in which high-intensity end-of-life care constitutes a default trajectory. Institutional structures and hospital cultures shape the everyday dynamics by which clinicians may deescalate end-of-life patients from this trajectory. Individual behaviors or interactions may fail to mitigate potentially nonbeneficial high-intensity life-sustaining treatments if extant hospital culture or a lack of supportive policies and practices undermine individual efforts. Hospital cultures need to be considered when developing policies and interventions to decrease potentially nonbeneficial, high-intensity life-sustaining treatments.
| S-EPMC10318547 | biostudies-literature
Project description:To examine inpatient intensive care unit (ICU) and intensive procedure use by race among Medicare decedents, using utilization among survivors for comparison.Retrospective observational analysis of inpatient claims using multivariable hierarchical logistic regression.United States, 1989-1999.Hospitalized Medicare fee-for-service decedents (n = 976,220) and survivors (n = 845,306) aged 65 years or older.Admission to the ICU and use of one or more intensive procedures over 12 months, and, for inpatient decedents, during the terminal admission. Black decedents with one or more hospitalization in the last 12 months of life were slightly more likely than non-blacks to be admitted to the ICU during the last 12 months (49.3% vs. 47.4%, p <.0001) and the terminal hospitalization (41.9% vs. 40.6%, p < 0.0001), but these differences disappeared or attenuated in multivariable hierarchical logistic regressions (last 12 months adjusted odds ratio (AOR) 1.0 [0.99-1.03], p = .36; terminal hospitalization AOR 1.03 [1.0-1.06], p = .01). Black decedents were more likely to undergo an intensive procedure during the last 12 months (49.6% vs. 42.8%, p < .0001) and the terminal hospitalization (37.7% vs, 31.1%, p < .0001), a difference that persisted with adjustment (last 12 months AOR 1.1 [1.08-1.14], p < .0001; terminal hospitalization AOR 1.23 [1.20-1.26], p < .0001). Patterns of differences in inpatient treatment intensity by race were reversed among survivors: blacks had lower rates of ICU admission (31.2% vs. 32.4%, p < .0001; AOR 0.93 [0.91-0.95], p < .0001) and intensive procedure use (36.6% vs. 44.2%; AOR 0.72 [0.70-0.73], p <.0001). These differences were driven by greater use by blacks of life-sustaining treatments that predominate among decedents but lesser use of cardiovascular and orthopedic procedures that predominate among survivors. A hospital's black census was a strong predictor of inpatient end-of-life treatment intensity.Black decedents were treated more intensively during hospitalization than non-black decedents, whereas black survivors were treated less intensively. These differences are strongly associated with a hospital's black census. The causes and consequences of these hospital-level differences in intensity deserve further study.
| S-EPMC1824769 | biostudies-other
Project description:Concern regarding wide variations in spending and intensive care unit use for patients at the end of life hinges on the assumption that such treatment offers little or no survival benefit.To explore the relationship between hospital "end-of-life" (EOL) treatment intensity and postadmission survival.Retrospective cohort analysis of Pennsylvania Health Care Cost Containment Council discharge data April 2001 to March 2005 linked to vital statistics data through September 2005 using hospital-level correlation, admission-level marginal structural logistic regression, and pooled logistic regression to approximate a Cox survival model.A total of 1,021,909 patients > or =65 years old, incurring 2,216,815 admissions in 169 Pennsylvania acute care hospitals.EOL treatment intensity (a summed index of standardized intensive care unit and life-sustaining treatment use among patients with a high predicted probability of dying [PPD] at admission) and 30- and 180-day postadmission mortality.There was a nonlinear negative relationship between hospital EOL treatment intensity and 30-day mortality among all admissions, although patients with higher PPD derived the greatest benefit. Compared with admission at an average intensity hospital, admission to a hospital 1 standard deviation below versus 1 standard deviation above average intensity resulted in an adjusted odds ratio of mortality for admissions at low PPD of 1.06 (1.04-1.08) versus 0.97 (0.96-0.99); average PPD: 1.06 (1.04-1.09) versus 0.97 (0.96-0.99); and high PPD: 1.09 (1.07-1.11) versus 0.97 (0.95-0.99), respectively. By 180 days, the benefits to intensity attenuated (low PPD: 1.03 [1.01-1.04] vs. 1.00 [0.98-1.01]; average PPD: 1.03 [1.02-1.05] vs. 1.00 [0.98-1.01]; and high PPD: 1.06 [1.04-1.09] vs. 1.00 [0.98-1.02]), respectively.Admission to higher EOL treatment intensity hospitals is associated with small gains in postadmission survival. The marginal returns to intensity diminish for admission to hospitals above average EOL treatment intensity and wane with time.
| S-EPMC3769939 | biostudies-literature
Project description:Objectives Stillbirth is an important and yet relatively unacknowledged public health concern in many parts of the world. Public awareness of stillbirth and its potentially modifiable risk factors is a prerequisite to planning prevention measures. Cultural and regional differences may play an important role in awareness and attitudes to stillbirth prevention. The objective of this study was to evaluate and compare the awareness of stillbirth among hospital staff in Qatar and the UK, representing two culturally different regions. Study design An online population survey for anonymous completion was sent to the hospital email accounts of all grades of staff (clinical and non-clinical) at two hospitals in Qatar and one tertiary hospital Trust in the UK. The survey was used to gather information on the participants' demographic background, the experience of stillbirth, knowledge of stillbirth, awareness of information and support sources, as well as attitude towards investigation and litigation. Data were analysed using descriptive and comparative statistics (Chi-Square test and Fisher's exact test). Results 1002 respondents completed the survey, including 349 in the Qatar group and 653 in the UK group. There were significant differences in group demographics in terms of language, religion, gender, nationality and experience of stillbirth. The groups also differed significantly in the knowledge of stillbirth, its incidence and risk factors. The two groups took different views on apportioning blame on healthcare services in cases of stillbirth. The Qatar group showed significantly less awareness of available support organisations and relied significantly more on online sources of information for stillbirths (p < 0.001). Conclusions This comparative study demonstrated significant differences between the two culturally distinct regions in the awareness, knowledge and attitudes towards stillbirths. The complex cultural and other factors that may be contributory should be further studied. The results highlight the need for increasing public awareness around stillbirth as part of effective prevention strategies.
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