The impact of variation in out-of-hours doctors' referral practices: a Norwegian registry-based observational study.

BACKGROUND: In a gatekeeping system, the individual doctor's referral practice is an important factor for hospital activity and patient safety. OBJECTIVE: The aim of the study was to investigate the variation in out-of-hours (OOH) doctors' referral practice, and to explore these variations' impact on admissions for selected diagnoses reflecting severity, and 30-day mortality. METHODS: National data from the doctors' claims database were linked with hospital data in the Norwegian Patient Registry. Based on the doctor's individual referral rate adjusted for local organizational factors, the doctors were sorted into quartiles of low-, medium-low-, medium-high-, and high-referral practice. The relative risk (RR) for all referrals and for selected discharge diagnoses was calculated using generalized linear models. RESULTS: The OOH doctors' mean referral rate was 110 referrals per 1,000 consultations. Patients seeing a doctor in the highest referring practice quartile had higher likelihood of being referred to hospital and diagnosed with the symptom of pain in throat and chest, abdominal pain, and dizziness compared with the medium-low quartile (RR 1.63, 1.49, and 1.95). For the critical conditions of acute myocardial infarction, acute appendicitis, pulmonary embolism, and stroke, we found a similar, but weaker, association (RR 1.38, 1.32, 1.24, and 1.19). The 30-day mortality among patients not referred did not differ between the quartiles. CONCLUSIONS: Doctors with high-referral practice referred more patients who were later discharged with all types of diagnoses, including serious and critical conditions. With low-referral practice, severe conditions might have been overlooked, although the 30-day mortality was not affected.

A major task for primary care doctors working out-of-hours (OOH) is to refer patients in need of acute specialized care to hospital. Acute referrals capture the major dilemma of not missing critically ill patients without overloading the hospital capacity. There is a known variation in referral practice between OOH doctors, and here we asked what impact this variation has for OOH patients. We divided OOH doctors in Norway into 4 groups according to their referral practice low, medium-low, medium-high, and high. Low had few referrals as a proportion of the total consultations, while the high group had many. If the patient saw a doctor in the high-referral group, there was an increased likelihood to be referred to hospital and given a symptom diagnosis, indicating that no severe disease was revealed. High-referral practice therefore may lead to more avoidable admissions. However, we also found the same but weaker effect for some critical conditions (heart infarction, acute appendicitis, pulmonary embolism, and stroke). Therefore, a low-referral practice may increase the risk of critical conditions being overlooked. These aspects of referral practice variation should be taken into consideration and call for strengthening the OOH framework for decision making regarding acute referrals.

Association Between Delayed Discharge From Acute Care and Rehabilitation Outcomes and Length of Stay: A Retrospective Cohort Study.

OBJECTIVE: To examine the association between discharge delays from acute to rehabilitation care because of capacity strain in the rehabilitation units, patient length of stay (LOS), and functional outcomes in rehabilitation. DESIGN: Retrospective cohort study using an instrumental variable to remove potential biases because of unobserved patient characteristics. SETTING: Two campuses of a hospital network providing inpatient acute and rehabilitation care. PARTICIPANTS: Patients admitted to and discharged from acute care categories of Medicine and Neurology/Musculoskeletal (Neuro/MSK) and subsequently admitted to and discharged from inpatient rehabilitation between 2013 and 2019 (N=10486). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Rehabilitation LOS, FIM scores at admission and discharge, and rehabilitation efficiency defined as FIM score improvement per day of rehabilitation. RESULTS: The final cohort contained 3690 records for Medicine and 1733 for Neuro/MSK categories. For Medicine, 1 additional day of delayed discharge was associated with an average 5.1% (95% confidence interval [CI], 3%-7.3%) increase in rehabilitation LOS and 0.08 (95% CI, 0.03-0.13) reduction in rehabilitation efficiency. For Neuro/MSK, 1 additional day of delayed discharge was associated with an average 11.6% (95% CI, 2.8%-20.4%) increase in rehabilitation LOS and 0.08 (95% CI, -0.07 to 0.23) reduction in rehabilitation efficiency. CONCLUSIONS: Delayed discharge from acute care to rehabilitation because of capacity strain in rehabilitation had a strong association with prolonged LOS in rehabilitation. An important policy implication of this "cascading" effect of delays is that reducing capacity strain in rehabilitation could be highly effective in reducing discharge delays from acute care and improving rehabilitation efficiency.

Predicting length of stay for acute medical admissions in New Zealand: the MALICE score.

Predicting length of stay (LoS) in hospital can help guide patient placement, facilitate rapid discharge and aid identification of patients at risk of prolonged stay, in whom early multidisciplinary intervention is warranted. We aimed to pilot the applicability of a modified decision aid (MALICE score) for predicting LoS for acute medical admissions at a New Zealand hospital. A prospective pilot study of 220 acute general medical admissions was performed. Clinical records were reviewed and MALICE scores were calculated for each patient and compared with LoS data using the Kruskal-Wallis H test. A statistically significant increase in LoS was seen with rising MALICE scores (H value 26.85, P < 0.001). MALICE scoring could be employed to guide patient placement and identify patients at risk of prolonged stays, though further study of bedside feasibility and applicability is required.

Association between hospital internal medicine physician workforce and patient admissions during the COVID-19 pandemic in Japan.

BACKGROUND: Hospital physician workforce in Japan is the lowest among developed countries. Many patients with novel coronavirus disease 2019 (COVID-19) with high risk of mortality could not be hospitalized during case surges in Japan and only about 5% of total acute care beds were used as COVID-19 beds nationwide. However, the relationship between the number of hospital physicians and patient admissions remains unclear. Thus, we aimed to evaluate this relationship in areas with the highest incidences during the surges. METHODS: Data collection was performed for teaching hospitals accredited with the specialty of internal medicine in three prefectures which experienced the highest COVID-19 incidences in Japan (Tokyo, Osaka, Okinawa). Association was examined between the number of full-time physicians (internal medicine staff physicians and residents) and admissions of internal medicine patients through ambulance transport from April 2020 to March 2021. Analysis was conducted separately for community hospitals and university hospitals because the latter have roles as research institutions in Japan. Community hospitals included private, public, and semi-public hospitals. RESULTS: Of 117 teaching hospitals in three prefectures, data from 108 teaching hospitals (83 community hospitals and 25 university hospitals) were available. A total of 102,400 internal medicine patients were admitted to these hospitals during the one-year period. Private hospitals received the greatest mean number of patient admissions (290 per 100 beds), followed by public hospitals (227) and semi-public hospitals (201), and university hospitals (94). Among community hospitals, a higher number of resident physicians per 100 beds was significantly associated with a greater number of patient admissions per 100 beds with beta coefficient of 11.6 (95% CI, 1.5 to 21.2, p = 0.025) admissions by one physician increase per 100 beds. There was no such association among university hospitals. CONCLUSIONS: Community hospitals with many resident physicians accepted more internal medicine admissions through ambulance transport during the COVID-19 pandemic. An effective policy to counter physician shortage in hospitals in Japan may be to increase internal medicine resident physicians among community hospitals to save more lives.

Routine ICU admission after brain tumor surgery: retrospective validation and critical appraisal of two prediction scores.

BACKGROUND: Routine admission to an intensive care unit (ICU) following brain tumor surgery has been a common practice for many years. Although this practice has been challenged by many authors, it has still not changed widely, mainly due to the lack of reliable data for preoperative risk assessment. Motivated by this dilemma, risk prediction scores for postoperative complications following brain tumor surgery have been developed recently. In order to improve the ICU admission policy at our institution, we assessed the applicability, performance, and safety of the two most appropriate risk prediction scores. METHODS: One thousand consecutive adult patients undergoing elective brain tumor resection within 19 months were included. Patients with craniotomy for other causes, i.e., cerebral aneurysms and microvascular decompression, were excluded. The decision for postoperative ICU-surveillance was made by joint judgment of the operating surgeon and the anesthesiologist. All data and features relevant to the scores were extracted from clinical records and subsequent ICU or neurosurgical floor documentation was inspected for any postoperative adverse events requiring ICU admission. The CranioScore derived by Cinotti et al. (Anesthesiology 129(6):1111-20, 5) and the risk assessment score of Munari et al. (Acta Neurochir (Wien) 164(3):635-641, 15) were calculated and prognostic performance was evaluated by ROC analysis. RESULTS: In our cohort, both scores showed only a weak prognostic performance: the CranioScore reached a ROC-AUC of 0.65, while Munari et al.'s score achieved a ROC-AUC of 0.67. When applying the recommended decision thresholds for ICU admission, 64% resp. 68% of patients would be classified as in need of ICU surveillance, and the negative predictive value (NPV) would be 91% for both scores. Lowering the thresholds in order to increase patient safety, i.e., 95% NPV, would lead to ICU admission rates of over 85%. CONCLUSION: Performance of both scores was limited in our cohort. In practice, neither would achieve a significant reduction in ICU admission rates, whereas the number of patients suffering complications at the neurosurgical ward would increase. In future, better risk assessment measures are needed.

Factors Influencing Admission Decisions in Skilled Nursing Facilities: Retrospective Quantitative Study.

BACKGROUND: Occupancy rates within skilled nursing facilities (SNFs) in the United States have reached a record low. Understanding drivers of occupancy, including admission decisions, is critical for assessing the recovery of the long-term care sector as a whole. We provide the first comprehensive analysis of financial, clinical, and operational factors that impact whether a patient referral to an SNF is accepted or denied, using a large health informatics database. OBJECTIVE: Our key objectives were to describe the distribution of referrals sent to SNFs in terms of key referral- and facility-level features; analyze key financial, clinical, and operational variables and their relationship to admission decisions; and identify the key potential reasons behind referral decisions in the context of learning health systems. METHODS: We extracted and cleaned referral data from 627 SNFs from January 2020 to March 2022, including information on SNF daily operations (occupancy and nursing hours), referral-level factors (insurance type and primary diagnosis), and facility-level factors (overall 5-star rating and urban versus rural status). We computed descriptive statistics and applied regression modeling to identify and describe the relationships between these factors and referral decisions, considering them individually and controlling for other factors to understand their impact on the decision-making process. RESULTS: When analyzing daily operation values, no significant relationship between SNF occupancy or nursing hours and referral acceptance was observed (P>.05). By analyzing referral-level factors, we found that the primary diagnosis category and insurance type of the patient were significantly related to referral acceptance (P<.05). Referrals with primary diagnoses within the category "Diseases of the Musculoskeletal System" are least often denied whereas those with diagnoses within the "Mental Illness" category are most often denied (compared with other diagnosis categories). Furthermore, private insurance holders are least often denied whereas "medicaid" holders are most often denied (compared with other insurance types). When analyzing facility-level factors, we found that the overall 5-star rating and urban versus rural status of an SNF are significantly related to referral acceptance (P<.05). We found a positive but nonmonotonic relationship between the 5-star rating and referral acceptance rates, with the highest acceptance rates found among 5-star facilities. In addition, we found that SNFs in urban areas have lower acceptance rates than their rural counterparts. CONCLUSIONS: While many factors may influence a referral acceptance, care challenges associated with individual diagnoses and financial challenges associated with different remuneration types were found to be the strongest drivers. Understanding these drivers is essential in being more intentional in the process of accepting or denying referrals. We have interpreted our results using an adaptive leadership framework and suggested how SNFs can be more purposeful with their decisions while striving to achieve appropriate occupancy levels in ways that meet their goals and patients' needs.

Patient Admission and Mechanical Ventilator Allocation Decision-Making Processes by Frontline Medical Professionals in a Japanese ICU During the COVID-19 Pandemic: A Qualitative Study.

During the COVID-19 pandemic, the need to triage COVID-19 patients in ICUs emerged globally. Triage guidelines were established in many countries; however, the actual triage decision-making processes and decisions themselves made by frontline medical providers may not have exactly reflected those guidelines. Despite the need to understand decisions and processes in practice regarding patient ICU admission and mechanical ventilator usage to identify areas of improvement for medical care provision, such research is limited. This qualitative study was conducted to identify the decision-making processes regarding COVID-19 patient ICU admissions and mechanical ventilator allocation by frontline medical providers and issues associated with those processes in an ICU during the COVID-19 pandemic. Semi-structured, in-depth interviews were conducted with ICU physicians and nurses working at an urban tertiary referral hospital in Japan between February and April 2022. Patient characteristics that influenced triage decisions made by physicians and the interaction between physicians, nurses, and senior management staff upon making such decisions are discussed in this article. An implicated issue was the lack of legal support for Japanese physicians to practice withdrawal of life-sustaining treatments even during emergencies. Another issue was the impact of non-clinical forces-likely specific to health emergencies-on physicians' decisions regarding mechanical ventilator allocation, where such forces imposed a significant mental burden on the medical providers. We consider public policy and legal implications for future pandemics.

Caregiving in a tertiary health institution in North Central Nigeria: Support types and financial burden.

Background: Caregivers play an important role in informal patient management. Identification of the support types and the financial challenges faced by caregivers will provide information on strategies to ease this burden. This study aimed to describe the support types and financial burden amongst caregivers in a tertiary hospital in North Central Nigeria. Methods: This was a cross-sectional study conducted amongst caregivers of inpatients in a tertiary hospital in North Central Nigeria. Data were collected using a pre-tested interviewer-administered questionnaire and were analysed using the Statistical Package for the Social Sciences package version 23. Results were reported in frequencies and proportions and presented in prose, tables and charts. Results: A total of 400 caregivers were recruited. The mean age was 38.32 ± 12.82 years and most (66.0%) were females. Caregivers supported their patients by running errands (96.3%) and 85.3% reported caregiving as stressful. The reported errands were purchase of medications (92.3%), supply of non-medical needs (63.3%), submission of laboratory samples and collection of results (52.3%) and service payment (47.5%). About two-thirds (63.2%) reported loss of income while caregiving and about half (50.8%) provided financial support to the patients. Conclusion: This study suggests that majority of caregivers experience significant physical and financial burden while caregiving. This burden can be eased off by the simplification of payment and laboratory processes and employment of more staff to support patients admitted to the wards. The financial burden experienced by caregivers reinforces the need to encourage more Nigerians to enrol in a health insurance scheme.

Delayed Transfer of Critically Ill Patients from Emergency Department to Intensive Care Unit.

Background and aim: Delay in the transfer of critically ill patients from the emergency department (ED) to intensive care units (ICUs) may worsen clinical outcomes. This prospective, observational study was done to find the incidence of delayed transfer. Materials and methods: After approval from the institute ethics committee and written informed consent, all patients admitted to ICU from ED over 6 months were divided into groups I and II as patients getting transferred to ICU within 30 minutes of the decision or not, respectively. The factors affecting the immediate transfer and clinical outcome of all patients were noted. Monthly feedback was given to the ED team. Results: Out of 52 ICU admissions from ED, 35 (67.3%) patients were not transferred within 30 minutes, and the most frequent factor preventing immediate transfer was ED-related (54%). A statistically significant difference was found in acute physiology and chronic health evaluation (APACHE II) score, clinical deterioration during transfer, longer duration of mechanical ventilation and length of stay, and higher mortality with patients transferred immediately to ICU. A reduction of 42.6% was noted in transfer time from the first month to the last month of study. Conclusion: The incidence of delayed transfer of patients from ED to ICU was 67.3% with ED-related factors being the most frequent cause of delay (54.2%). How to cite this article: Bosco S, Sahni N, Jain A, Arora P, Raj V, Yaddanapudi L. Delayed Transfer of Critically Ill Patients from Emergency Department to Intensive Care Unit. Indian J Crit Care Med 2023;27(8):580-582.

The impact of PIPs on mortality and readmissions in older adults: a retrospective cohort study.

PURPOSE: Our aim was to determine the impact of potentially inappropriate prescriptions (PIP), according to "Screening Tool of Older Persons' Prescriptions" criteria version 2 (STOPP-2), on mortality and hospital admissions. METHODS: Monocentric retrospective cohort study. Patients over 65 years of age and who were consecutively discharged from internal medicine at a Spanish university hospital in 2016 were included. The mortality and hospital admissions of the cohort of patients were analysed using their electronic health records within two years from the time of discharge. Analysis was done based on the type and number of STOPP-2 criteria as well as taking into account the total number of medications. The subdistribution hazard ratios (SHR) were estimated through a competing proportional hazards model. RESULTS: A total of 270 patients with a median age of 82 years (interquartile range/IQR 76-86 years), and 152 (56.3%) women were studied. It was found out that 28.3% of patients with PIP died compared to 17.2% of patients without it. Digoxin (B1 STOPP-2 criterion) with a subdistribution hazard ratio (SHR) 2.40 (95% CI 0.63-9.18), selective serotonin re-uptake inhibitors/SSRIs (D4) with a SHR 1.76 (95% CI 0.52-5.96) and neuroleptic drugs (K2) with a SHR 2.01 (95% CI 0.82-4.95) non-significantly increased the risk of death. Dementia (SHR 5.45; 95% CI 2.76-10.78) was then the only statistically significant risk factor for death. Sixty percent of patients with a PIP had shown at least one hospital admission compared to 51% of patients without it. The number of drugs at discharge (SHR 1.03; 95% CI 1.01-1.05) and having 1-2 STOPP-2 criteria (SHR 1.17; 95% CI 1.02-1.35) significantly increased the risk of hospital admission. CONCLUSION: The number of drugs at discharge and having any STOPP criteria significantly increased the risk of hospital admission in this cohort. PIP, only according to some specific STOPP-2 criteria involving digoxin, neuroleptics and SSRIs, might associate with a statistically non-significantly higher risk on mortality.

Emergency Department Length of Stay and Mortality in Critically Injured Patients.

OBJECTIVE: Multicenter data from 2 decades ago demonstrated that critically ill and injured patients spending more than 6 hours in the emergency department (ED) before transfer to the intensive care unit (ICU) had higher mortality rates. A contemporary analysis of ED length of stay in critically injured patients at American College of Surgeons' Trauma Quality Improvement Program (ACS-TQIP) centers was performed to test whether prolonged ED length of stay is still associated with mortality. METHODS: This was an observational cohort study of critically injured patients admitted directly to ICU from the ED in ACS-TQIP centers from 2010-2015. Spending more than 6 hours in the ED was defined as prolonged ED length of stay. Patients with prolonged ED length of stay were matched to those with non-prolonged ED length of stay and mortality was compared. MAIN RESULTS: A total of 113,097 patients were directly admitted from the ED to the ICU following injury. The median ED length of stay was 167 minutes. Prolonged ED length of stay occurred in 15,279 (13.5%) of patients. Women accounted for 29.4% of patients with prolonged ED length of stay but only 25.8% of patients with non-prolonged ED length of stay, P < 0.0001. Mortality rates were similar after matching-4.5% among patients with prolonged ED length of stay versus 4.2% among matched controls. Multivariable logistic regression of the matched cohorts demonstrated prolonged ED length of stay was not associated with mortality. However, women had higher adjusted mortality compared to men Odds Ratio = 1.41, 95% Confidence Interval 1.28 -1.61, P < 0.0001. CONCLUSION: Prolonged ED length of stay is no longer associated with mortality among critically injured patients. Women are more likely to have prolonged ED length of stay and mortality.

Effects of GP characteristics on unplanned hospital admissions and patient safety. A 9-year follow-up of all Norwegian out-of-hours contacts.

BACKGROUND: There are substantial differences in hospital referrals between general practitioners (GPs); however, there is little research on the consequences for patient safety and further healthcare use. OBJECTIVE: To investigate associations between out-of-hours GP characteristics, unplanned hospital admissions, and patient safety. METHODS: This cohort study included all Norwegian out-of-hours services contacts from 2008 to 2016, linked to registry data on patient characteristics, healthcare use and death, and GP age, sex, specialist status, out-of-hours service experience, and prior admission proportion. We estimated the impact from GP characteristics on (i) immediate unplanned hospital admissions for "all conditions," (ii) immediate unplanned hospital admissions for "critical conditions," (iii) 30-day unplanned hospital admissions, (iv) 30-day hospital costs, and (v) 30-day risk of death. To limit confounding, we matched patients in groups by age, time, and location, with an assumption of random assignment of GPs to patients with this design. RESULTS: Patients under the care of older and male GPs had fewer immediate unplanned hospital admissions, but the effects on cumulative 30-day unplanned hospital admissions and costs were small. The GPs' prior admission proportion was strongly associated with both immediate and 30-day unplanned hospital admissions. Higher prior admission proportion was also associated with admitting more patients with critical conditions. There was little evidence of any associations between GP characteristics and 30-day risk of death. CONCLUSIONS: GPs' prior admission proportion was strongly associated with unplanned hospital admissions. We found little effects on 30-day mortality, but more restrictive referral practices may threaten patient safety through missing out on critical cases.

Referral for specialized health services is a key part of the general practitioner (GP) role. Differences in referrals between primary care physicians have been widely studied, as they represent a target for reducing the use of specialized health services. However, the potential consequences beyond the actual referral have received little attention. Studying associations between physician characteristics and clinical decisions are difficult because physicians often systematically see different patient populations with different morbidity. Previous findings showing large differences in clinical decisions regarding referrals and hospital admissions may suffer from confounding. With our carefully matched study design, we could assume that the assignment of physicians to patients was random. We found substantial differences in referrals associated with GP characteristics. Seeing older and male GPs and specialists in family medicine were associated with fewer immediate unplanned hospital admissions but did not substantially influence unplanned hospital costs within 30 days. However, GPs with a history of admitting many of their recent patients had a substantial higher tendency to admit their future patients and represented a higher use of health services and costs. These GPs also referred more critically ill patients, an essential aspect of patient safety. The differences in referrals had minor impact on the patients' 30-day risk of death.

Decline in U.S. Emergency Department admission rates driven by critical pathway conditions, 2006-2014.

OBJECTIVES: Despite increasing ED visits, evidence suggests overall hospitalization rates have decreased; however, it is unknown what clinical conditions account for these changes. We aim to describe condition-specific trends and hospital-level variation in hospitalization rates after ED visits from 2006 to 2014. METHODS: Retrospective observational study of adult ED visits to U.S. acute care hospitals using nationally weighted data from the 2006-2014 National Emergency Department Survey. Our primary outcome was ED admission rate, defined as the number of admissions originating in the ED divided by the number of ED visits. We report admission rates overall and for each condition, including changes over time. We used logistic regression to compare the odds of ED admission from 2006 to 2014, adjusting for patient and hospital characteristics. We also measured hospital-level variation by calculating hospital-level median ED admission rates and interquartile ranges. RESULTS: After adjusting for patient and hospital characteristics, the odds of ED admission for any condition were 0.49 (CI 0.45, 0.52) in 2014 compared to 2006. The conditions with the greatest relative change in ED admission rates were chest pain (21.7 to 7.5%) and syncope (28.9 to 13.8%). The decline in ED admission rates were accompanied by increased variation in hospital-level ED admission rates. CONCLUSIONS: Recent reductions in ED admissions are largely attributable to decreased admissions for conditions amenable to outpatient critical pathways. Focusing on hospitals with persistently above-average ED admission rates may be a promising approach to improve the value of acute care.

Measuring medically unjustified hospitalizations in Switzerland.

BACKGROUND: Inappropriate use of acute hospital beds is a major topic in health politics. We present here a new approach to measure unnecessary hospitalizations in Medicine and Pediatrics. METHODS: The necessity of a hospital admission was determined using explicit criteria related to the recorded diagnoses. Two indicators (i.e. "unjustified" and "sometimes justified" stays) were applied to more than 800,000 hospital stays and a random sample of 200 of them was analyzed by two clinicians, using routine data available in medical statistics. The validation of the indicators focused on their precision, validity and adjustment, as well as their usefulness (i.e. interest and risk of abuse). RESULTS: Rates, adjusted for case mix (i.e. age of patient, admission planned or not), showed statistically significant differences among hospitals. Only 6.5% of false positives were observed for "unjustified stays" and 17% for "sometimes justified stays". Respectively 7 and 12% of stays had an unknown status, due to a lack of sufficiently precise data. Considering true positives only, almost one third of medical and pediatric stays were classified as not strictly justified from a medical point of view in Switzerland. Among these stays, about one fifth could have probably been avoided without risk. To enable a larger ambulatory shift, recommendations were made to strengthen the ambulatory care, notably regarding post-emergency follow-up, cardiac and pulmonary functions' monitoring, pain management, falls prevention, and specialized at-home services that should be offered. CONCLUSION: We recommend using "unjustified stays" and "sometimes justified stays" indicators to monitor inappropriate hospitalizations. The latter could help the planning of reinforced ambulatory care measures to pursue the ambulatory shift. Nonetheless, we clearly advise against the use of these two indicators for hospitals financing purposes.

Reasons for acute referrals to hospital from general practitioners and out-of-hours doctors in Norway: a registry-based observational study.

BACKGROUND: General practitioners (GPs) and out-of-hours (OOH) doctors are gatekeepers to acute hospital admissions in many healthcare systems. The aim of the present study was to investigate the whole range of reasons for acute referrals to somatic hospitals from GPs and OOH doctors and referral rates for the most common reasons. We wanted to explore the relationship between some common referral diagnoses and the discharge diagnosis, and associations with patient's gender, age, and GP or OOH doctor referral. METHODS: A registry-based study was performed by linking national data from primary care in the physicians' claims database with hospital services data in the Norwegian Patient Registry (NPR). The referring GP or OOH doctor was defined as the physician who had sent a claim for the patient within 24 h prior to an acute hospital stay. The reason for referral was defined as the ICPC-2 diagnosis used in the claim; the discharge diagnoses (ICD-10) came from NPR. RESULTS: Of all 265,518 acute hospital referrals from GPs or OOH doctors in 2017, GPs accounted for 43% and OOH doctors 57%. The overall referral rate per contact was 0.01 from GPs and 0.11 from OOH doctors, with large variations by referral diagnosis. Abdominal pain (D01) (8%) and chest pain (A11) (5%) were the most frequent referral diagnoses. For abdominal pain and chest pain referrals the most frequent discharge diagnosis was the corresponding ICD-10 symptom diagnosis, whereas for pneumonia-, appendicitis-, acute myocardial infarction- and stroke referrals the corresponding disease diagnosis was most frequent. Women referred with chest pain were less likely to be discharged with ischemic heart disease than men. CONCLUSIONS: The reasons for acute referral to somatic hospitals from GPs and OOH doctors comprise a wide range of reasons, and the referral rates vary according to the severity of the condition and the different nature between GP and OOH services. Referral rates for OOH contacts were much higher than for GP contacts. Patient age, gender and referring service influence the relationship between referral and discharge diagnosis.

Trends and outcomes of admissions in the Paediatrics ward at a tertiary care hospital of urban Karachi.

In order to improve the health care system in Pakistan, the first step is to assess which diseases are the most prevalent and to what extent among children and lead to hospital admissions. This would help to improve the facilities and management and thus reduce the duration of hospital stay. This study aimed to determine the spectrum of disease presentation and the outcome and duration of hospital stay of patients presenting to the paediatric ward of a tertiary care hospital. A cross-sectional, descriptive study was conducted in the paediatric ward of a semi-private hospital PNS SHIFA in Karachi. The duration of the study was six months (March 2019 to August 2019) and the sample size was 431. Non probability convenience sampling was done and p-value =/< 0.05 was taken as significant. Data was analysed through SPSS version 22. The study showed that gastroenterological diseases were the most common (138 [32%]), and all patients with these problems were discharged after treatment. Out of the 96 (22%) patients presenting with pulmonary diseases all were discharged except 2/96 patients (2%) who died as they had some co-morbidity (congenital heart disease and measles, respectively). One was referred (congenital heart disease). Seventy-five (17.5%) had infectious diseases with good outcome, 2 out of 19 (4.9%) had cardiac related illnesses. One neurological patient died, while the rest of 41 were discharged. The study concluded that the most common cause of admission in children is gastroenterological, pulmonary and infectious diseases; almost all except a few with co-morbidities were discharged after a short hospital stay.

Physicians' predictions of long-term survival and functional outcomes do not influence the decision to admit patients with advanced disease to intensive care: A prospective study.

BACKGROUND: Long-term survival and functional outcomes should influence admission decisions to intensive care, especially for patients with advanced disease. AIM: To determine whether physicians' predictions of long-term prognosis influenced admission decisions for patients with and without advanced disease. DESIGN: A prospective study was conducted. Physicians estimated patient survival with intensive care and with care on the ward, and the probability of 4 long-term outcomes: leaving hospital alive, survival at 6 months, recovery of functional status, and recovery of cognitive status. Patient mortality at 28 days was recorded. We built multivariate logistic regression models using admission to the intensive care unit (ICU) as the dependent variable. SETTING/PARTICIPANTS: ICU consultations for medical inpatients at a Swiss tertiary care hospital were included. RESULTS: Of 201 evaluated patients, 105 (52.2%) had an advanced disease and 140 (69.7%) were admitted to the ICU. The probability of admission was strongly associated with the expected short-term survival benefit for patients with or without advanced disease. In contrast, the predicted likelihood that the patient would leave the hospital alive, would be alive 6 months later, would recover functional status, and would recover initial cognitive capacity was not associated with the decision to admit a patient to the ICU. Even for patients with advanced disease, none of these estimated outcomes influenced the admission decision. CONCLUSIONS: ICU admissions of patients with advanced disease were determined by short-term survival benefit, and not by long-term prognosis. Advance care planning and developing decision-aid tools for triage could help limit potentially inappropriate admissions to intensive care.

Health disparities of critically ill children according to poverty: the Korean population-based retrospective cohort study.

BACKGROUND: There is a lack of nationwide studies on critically ill patients' health disparity under the National Health Insurance (NHI) system. We evaluated health disparities in intensive care unit (ICU) admission, outcomes, and readmission in impoverished children. METHODS: We conducted a retrospective cohort study using a national database from the Korean NHI and Medical Aid Program (MAP). MAP supports the population whose household income is lower than 40% of the median Korean household income. We defined poverty as being a MAP beneficiary and compared the poverty and non-poverty groups. Patients between 28 days and 18 years old who were admitted to the ICU were included. Hospital mortality and readmission were analyzed with adjustment for patient characteristics, hospital type, and management procedures. RESULTS: Out of 17,893 patients, 1153 (6.4%) patients were in poverty. The age-standardized ICU admission rate was higher in the poverty group (126.9 vs. 80.2 per 100,000 person-years). There was more age-standardized mortality in the poverty group (11.8 vs. 4.3 per 100,000 person-years). Patients in the poverty group did not have a statistically different risk of adjusted in-hospital mortality to those in the non-poverty group (odds ratio: 1.15, confidence interval [CI]: 0.84-1.55) but had a higher readmission rate (hazard ratio 1.25, CI 1.09-1.42). CONCLUSION: Under the NHI system, the disparity in pediatric critical care outcomes according to poverty is not definite, but the healthcare disparity in pre- and post-hospital care is a concern. Further studies are required to improve pre- and post-hospital healthcare quality of impoverished children.

Emergency hospital admissions among older adults living alone in the community.

BACKGROUND: Among older adults, living alone is often associated with higher risk of Emergency Department (ED) admissions. However, older adults living alone are very heterogeneous in terms of health. As more older adults choose to live independently, it remains unclear if the association between living alone and ED admissions is moderated by health status. We studied the association between living alone and ED admission outcomes (number of admissions, inpatient days and inpatient costs) among older adults with and without multimorbidity. METHODS: We used data from 16,785 individuals of the third follow-up of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese (mean age: 73(61-96) years). Participants were interviewed face-to-face from 2014 to 2016 for sociodemographic/health factors and followed-up for one year on ED admission outcomes using Singapore Ministry of Health's Mediclaim Database. We first applied multivariable logistic regression and two-part models to test if living alone is a risk factor for ED admission outcomes. We then ran stratified and joint effect analysis to examine if the associations between living alone and ED admission outcomes were moderated by multimorbidity. RESULTS: Compared to living with others, living alone was associated with higher odds of ED admission [Odds Ratio (OR) 1.28, 95 % Confidence Interval(CI) 1.08-1.51)], longer inpatient days (+0.61, 95 %CI 0.25-0.97) and higher inpatient costs (+322 USD, 95 %CI 54-591). The interaction effects of living arrangement and multimorbidity on ED admissions and inpatient costs were not statistically different, whereas the interaction between living arrangements and multimorbidity on inpatient days was borderline significant (p-value for interaction=0.050). Compared to those living with others and without multimorbidity, the relative mean increase was 1.13 inpatient days (95 %CI 0.39-1.86) for those living alone without multimorbidity, and 0.73 inpatient days ( 95 %CI 0.29-1.17) for those living alone with multimorbidity. CONCLUSIONS: Older adults living alone were at higher risk of ED admission and higher inpatient costs regardless of multimorbidity, while those living alone without multimorbidity had the longest average inpatient days. To enable aging in place while avoiding ED admissions, interventions could provide instrumental support and regular health monitoring to older adults living alone, regardless of their health status.

Schizophrenia Related Hospitalizations - a Big Data Analysis of a National Hospitalization Database.

Schizophrenia is a mental disorder characterized by long hospitalizations and frequent need for chronic/acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in schizophrenia patients. The aim of this study was to describe a nationwide perspective of schizophrenia related hospitalizations. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of schizophrenia were selected based on the definition by CCS - Clinical Classification Software diagnostic single-level 659. Schizophrenia subtypes were identified based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 295.xx. A total of 25,385 hospitalizations were registered belonging to 14,279 patients. 68.0% of the hospitalizations occurred in male patients and the median length of stay was 18.0 days. In male patients' hospitalizations, the most frequent age group was 31-50 years followed by the age group of 18-30 years (55.9 and 24.0% respectively). For female patients, the most frequent age group was 31-50 years followed by 51-70 years (54.1 and 22.6%, respectively). There were 73 hospitalization with a deadly outcome (0.29%). Paranoid type was the most frequent subtype of schizophrenia (50.5%). The mean hospitalization charges were 3509.7€ per episode, with a total charge of 89.1 M€ in the 8-year period. This is a nationwide study using Big Data analysis giving a broad perspective of schizophrenia hospitalization panorama at a nationwide level. We found differences in hospitalization characteristics according to patients' gender, age and primary diagnosis.