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Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns.

ABSTRACT: Medicare spending exceeds 4% of GDP in the US each year, and there are concerns that moral hazard problems have led to overspending. This paper considers whether hospitals that treat patients more aggressively and receive higher payments from Medicare improve health outcomes for their patients. An innovation is a new lens to compare hospital performance for emergency patients: plausibly exogenous variation in ambulance-company assignment among patients who live near one another. Using Medicare data from 2002-2010, we show that ambulance company assignment importantly affects hospital choice for patients in the same ZIP code. Using data for New York State from 2000-2006 that matches exact patient addresses to hospital discharge records, we show that patients who live very near each other but on either side of ambulance service area boundaries go to different types of hospitals. Both identification strategies show that higher-cost hospitals achieve better patient outcomes for a variety of emergency conditions. Using our Medicare sample, the estimates imply that a one standard deviation increase in Medicare reimbursement leads to a 4 percentage point reduction in mortality (10% compared to the mean). Taking into account one-year spending after the health shock, the implied cost per at least one year of life saved is approximately $80,000. These results are found across different types of hospitals and patients, as well across both identification strategies.

SUBMITTER: Doyle J

PROVIDER: S-EPMC4351552 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns.

Doyle Joseph J Graves John J Gruber Jonathan J Kleiner Samuel S

The journal of political economy 20150201 1

Medicare spending exceeds 4% of GDP in the US each year, and there are concerns that moral hazard problems have led to overspending. This paper considers whether hospitals that treat patients more aggressively and receive higher payments from Medicare improve health outcomes for their patients. An innovation is a new lens to compare hospital performance for emergency patients: plausibly exogenous variation in ambulance-company assignment among patients who live near one another. Using Medicare d ...[more]

PMID: 25750459

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Project description:Objectiveto analyse the impact of in-hospital care on severe maternal morbidity using WHO's near-miss approach in the low-resource, high mortality setting of Zanzibar's referral hospital.SettingMnazi Mmoja Hospital, a tertiary care facility, in Zanzibar, Tanzania.MethodsWe identified all cases of morbidity and mortality in women admitted within 42 days after the end of pregnancy at Mnazi Mmoja Hospital in the period from April to October 2016. The severity of complications was classified using WHO's near-miss approach definitions: potentially life-threatening condition (PLTC), maternal near-miss (MNM) or maternal death (MD). Quality of in-hospital care was assessed using the mortality index (MI) defined as ratio between mortality and severe maternal outcome (SMO) where SMO = MD + MNM, cause-specific case facility rates and comparison with predicted mortality based on the Maternal Severity Index model.Main outcomes5551 women were included. 569 (10.3%) had a potentially life-threatening condition and 65 (1.2%) a severe maternal outcome (SMO): 37 maternal near-miss cases and 28 maternal deaths. The mortality index was high at 0.43 and similar for women who developed a SMO within 12 hours of admission and women who developed a SMO after 12 hours. A standardized mortality ratio of 6.03 was found; six times higher than that expected in moderate maternal mortality settings given the same severity of cases. Obstetric haemorrhage was found to be the main cause of SMO. Ruptured uterus and admission to ICU had the highest case-fatality rates. Maternal death cases seemed to have received essential interventions less often.ConclusionsWHO's near-miss approach can be used in this setting. The high mortality index observed shows that in-hospital care is not preventing progression of disease adequately once a severe complication occurs. Almost one in two women experiencing life-threatening complications will die. This is six times higher than in moderate mortality settings.

Project description:IntroductionIn Uganda, 2% of women die from maternal causes with a mortality rate of 336 maternal deaths per 100,000 live births. According to the World Health Organization Uganda is one of the top three contributors to maternal mortality in sub-Saharan Africa. Uganda has parallel weak ambulance systems, government, and non-government-owned, that transport obstetric emergencies to higher-level facilities. These two operations lack standards of medical care and inter-facility transfer (IFT) protocols to direct care. Limited studies exist which assess the state of Emergency Care Services in Uganda and none has been performed to assess the ambulance referral services utilized to address obstetric emergencies.ObjectiveThe present study was performed to describe the ambulance transfer processes of obstetric emergencies by analyzing cases arriving at Kawempe National Referral Hospital (KNRH) from outlying health facilities.MethodsThe study was based at KNRH in Kampala, Uganda. It was a descriptive and analytic cross-sectional study. Trained research assistants enrolled participating patients who met the inclusion criteria consecutively on arrival by ambulance at the hospital. Utilizing a questionnaire, quantitative data was collected from the ambulance driver, the sending facility referral form, and the receiving hospital's ambulance log book for each case. The sample size was 215.ResultsThe median age was 27 years and the majority of patients were referred because of hypertensive disorders (34.9%), obstructed labor (26.5%) and hemorrhage (20.9%). The median total response time for transfer of obstetric emergencies was 50 min, from ambulance activation until the mother was received at KNRH. Differences were identified between government and non-government-owned ambulances in regards to the method of activation, medical escort staffing, number of vital signs recorded, and ambulance onboard medical care. Ambulances parked at the facility took the shortest transfer time and EMT-supported ambulances had the greatest number of vital signs taken.ConclusionsRecommendations are to develop an integrated ambulance system for both government and non-government ambulances with standards especially in regards to standardized scripted call-center calls analysis, dispatch activation time, response-to-patient time, and trained ambulance professional staffing and medical care whenever in patient transport mode.

Project description:Background: Pre-hospital providers, such as paramedics and emergency medical technicians, are in a position to provide key emotional support to injured children and their families. Objective: Our goal was to examine (a) pre-hospital providers' knowledge of traumatic stress in children, attitudes towards psychosocial aspects of care, and confidence in providing psychosocial care, (b) variations in knowledge, attitudes, and confidence according to demographic and professional characteristics, and (c) training preferences of pre-hospital providers regarding psychosocial care to support paediatric patients and their families. Method: We conducted a cross-sectional, online survey among an international sample of 812 pre-hospital providers from high-income countries. The questionnaire was adapted from a measure for a similar study among Emergency Department staff, and involved 62 items in 7 main categories (e.g. personal and work characteristics, knowledge of paediatric traumatic stress, and confidence regarding 18 elements of psychosocial care). The main analyses comprised descriptive statistics and multiple regression analyses. Results: On average, respondents answered 2.7 (SD = 1.59) out of seven knowledge questions correctly. Respondents with higher knowledge scores were more often female, parent of a child under 17, and reported that at least 10% of their patients were children. A majority of participants (83.5%) saw all 18 aspects of psychosocial care as part of their job. Providers felt moderately confident (M = 3.2, SD = 0.45) regarding their skills in psychosocial care, which was predicted by gender (female), having more experience, having a larger proportion of child patients, and having received training in psychosocial care in the past five years. Most respondents (89.7%) wanted to gain more knowledge and skills regarding psychosocial care for injured children. In terms of training format, they preferred an interactive website or a one-off group training. Conclusions: There appears to be both a need and an opportunity for education initiatives regarding paediatric traumatic stress in the pre-hospital context.

Project description:ImportanceStudies of low-value care have focused on the prevalence of low-value care interventions but have rarely quantified downstream consequences of these interventions for patients or the health care system.ObjectiveTo measure immediate in-hospital harm associated with 7 low-value procedures.Design, setting, and participantsA cohort study with a descriptive analysis using hospital admission data from 225 public hospitals in New South Wales, Australia, was conducted from July 1, 2014, to June 30, 2017. All 9330 episodes involving 1 of 7 low-value procedures were evaluated, including endoscopy for dyspepsia in people younger than 55 years (3689 episodes); knee arthroscopy for osteoarthritis or meniscal tears (3963 episodes); colonoscopy for constipation in people younger than 50 years (665 episodes); endovascular repair of abdominal aortic aneurysm in asymptomatic, high-risk patients (508 episodes); carotid endarterectomy in asymptomatic, high-risk patients (273 episodes); renal artery angioplasty (176 episodes); and spinal fusion for uncomplicated low back pain (56 episodes). Sixteen hospital-acquired complications (HACs) were used as a measure of harm associated with low-value care.Main outcomes and measuresFor each low-value procedure, the percentage associated with any HAC and the difference in mean length of stay for patients receiving low-value care with and without HACs were calculated.ResultsAcross the 225 hospitals and 9330 episodes of low-value care, rates of HACs were low for low-value endoscopy (4 [0.1%] episodes; 95% CI, 0.02%-0.2%), knee arthroscopy (18 [0.5%] episodes; 95% CI, 0.2%-0.7%), and colonoscopy (2 [0.3%] episodes; 95% CI, 0.0%-0.9%) but higher for low-value spinal fusion (4 [7.1%] episodes; 95% CI, 2.2%-11.5%), endovascular repair of abdominal aortic aneurysm (76 [15.0%] episodes; 95% CI, 11.1%-19.7%), carotid endarterectomy (21 [7.7%] episodes; 95% CI, 5.2%-10.1%), and renal artery angioplasty (15 [8.5%] episodes; 95% CI, 5.8%-11.5%). For most procedures, the most common HAC was health care-associated infection, which accounted for 83 (26.3%) (95% CI, 21.8%-31.5%) of all HACs observed. The highest rate of health care-associated infection was 8.4% (95% CI, 5.2%-11.4%) for renal artery angioplasty. For all 7 low-value procedures, median length of stay for patients with an HAC was 2 times or more the median length of stay for patients without a complication. For example, median length of stay was 1 (interquartile range [IQR], 1-1) day for knee arthroscopy with no HACs but increased to 10.5 (IQR, 1.0-21.3) days for patients with an HAC.Conclusions and relevanceThese findings suggest that use of these 7 procedures in patients who probably should not receive them is harming some of those patients, consuming additional hospital resources, and potentially delaying care for other patients for whom the services would be appropriate. Although only some immediate consequences of just 7 low-value services were examined, harm related to all low-value procedures was noted, including high rates of harm for certain higher-risk procedures. The full burden of low-value care for patients and the health system is yet to be quantified.

Dataset Information

Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns.

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Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns.

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