On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

This dataset tracks the updates made on the dataset "Hospital Annual Financial Disclosure Report – Complete Data Set" as a repository for previous versions of the data and metadata.

description: On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.; abstract: On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

Analysis of ‘Hospital Annual Financial Disclosure Report – Complete Data Set’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1665b911-7a5a-4a7d-9b2f-d5e8a2873b07 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

--- Original source retains full ownership of the source dataset ---

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

Contains non-confidential data on patients admitted to and discharged from all California acute care hospitals, including general acute care, skilled nursing, psychiatric care, alcohol/drug rehabilitation care, and rehabilitation care facilities. Details include county identification, age, gender, race, length of stay, date of admission, site from which the patient was admitted (i.e., emergency room, short term acute care hospital, intermediate care facility, skilled nursing, home health service, newborn, etc.), type of admission, diagnoses, procedures, patient disposition, expected source of payment, and total charges.

North West Hospital and Health Service Contract Disclosures 2022/2023

A disclosure log makes information disclosed to an applicant under the Right to Information Act 2009 (the RTI Act) available to the public.

This dataset does not contain any resources hosted on data.gov.au. It provides a link to the location of the Independent Hospital Pricing Authority Freedom of Information (FOI) disclosure log to aide in information and data discovery. You can find the FOI Disclosure log here and the Agency's Information Publication Scheme here.

The data.gov.au team is not responsible for the contents of the above linked pages.

SWHHS Contract Disclosure Report FY21-22 for contracts awarded over $10,000. SWHHS Contract Disclosure Report FY21-22 for contracts awarded over $10,000.

This dataset tracks the updates made on the dataset "Pre-2012 Hospital Annual Financial Disclosure Report – Complete Data Set" as a repository for previous versions of the data and metadata.

Contract Disclosure of all awarded contracts over $10 000 ending 30 April 2025

Contains non-confidential data on patients admitted to and discharged from all California acute care hospitals, including general acute care, skilled nursing, psychiatric care, alcohol/drug rehabilitation care, and rehabilitation care facilities. Details include county identification, age, gender, race, length of stay, date of admission, site from which the patient was admitted (i.e., emergency room, short term acute care hospital, intermediate care facility, skilled nursing, home health service, newborn, etc.), type of admission, diagnoses, procedures, patient disposition, expected source of payment, and total charges.

West Moreton Hospital and Health Service contract disclosure reporting for all awarded contracts over $10,000

Abstract An exploratory, descriptive and qualitative study was conducted with nine health professionals working in the areas of medicine and nursing in the neonatal and pediatric intensive care unit of a teaching hospital located in the countryside of the state of Rio Grande do Sul, Brasil. The objective was to identify the meanings attributed to the communication of bad news, articulating them with professional practice and the manifested feelings andemotions that this task awakens in health professionals. The data were collected in a semi structured interview and studied with content analysis. Death was found to be the main meaning attributed to bad news. Standardized protocols or routines in the practice of reporting bad news were not observed. The significant degree of suffering of health professionals performing this occupational practice was evident. The data of the present study emphasize the importance of problematizing and reflecting on this theme in the hospital environment.

ABSTRACT CONTEXT AND OBJECTIVE: Breaking bad news is one of doctors’ duties and it requires them to have some skills, given that this situation is difficult and distressful for patients and their families. Moreover, it is also an uncomfortable condition for doctors. The aim of this study was to evaluate doctors’ capacity to break bad news, ascertain which specialties are best prepared for doing this and assess the importance of including this topic within undergraduate courses. DESIGN AND SETTING: Observational cross-sectional quantitative study conducted at a university hospital in Belo Horizonte (MG), Brazil. METHODS: This study used a questionnaire based on the SPIKES protocol, which was answered by 121 doctors at this university hospital. This questionnaire investigated their attitudes, posture, behavior and fears relating to breaking bad news. RESULTS: The majority of the doctors did not have problems regarding the concept of bad news. Nevertheless, their abilities diverged depending on the stage of the protocol and on their specialty and length of time since graduation. Generally, doctors who had graduated more than ten years before this survey felt more comfortable and confident, and thus transmitted the bad news in a better conducted manner. CONCLUSION: Much needs to be improved regarding this technique. Therefore, inclusion of this topic in undergraduate courses is necessary and proposals should be put forward and verified.

Barriers and facilitators of pediatric HIV status disclosure focusing on MoH and WHO disclosure guidelines according to the COM-B model.

Analysis of ‘Inpatient/Day Case Waiting List’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/31135f68-08ae-440f-9525-89b1bd5fd673 on 16 January 2022.

--- Dataset description provided by original source is as follows ---

The National Treatment Purchase Fund (NTPF) is responsible for the collection, collation and validation of Inpatient, Day Case and Outpatient waiting lists.

The IPDC Waiting List Open Data report shows the total number of people waiting, across the various time bands, for Inpatient and Day case treatment in each Specialty (these numbers do not include GI Endoscopies, see separate report).

Statistical Disclosure Control (SDC) techniques have been applied to the data to preserve confidentiality and mitigate against identification or self-identification of individuals. In cases where there are less than 5 people in any particular cell, that value has been replaced with the average (mean) of all values that are less than 5 across that category. Any decimal values which arise have then been rounded. This may cause some rounding to occur when calculating sub-totals.

Where there are less than 20 people waiting in a particular specialty/hospital, the numbers have been aggregated under a ‘Small Volume’ heading

The Children’s Health Act 2018 came into effect on 1st January 2019. Under this act, Children’s Health Ireland was established and all assets, liabilities and records were transferred from Our Lady’s Children’s Hospital Crumlin, Temple Street Children’s University Hospital and National Children's Hospital at Tallaght University Hospital to the new body. From 1st January 2019, all NTPF reports reflect this change and data from the three sites of Children’s Health Ireland are reported as one entity. On the 31st of July 2019 Children's Health Ireland opened a new Paediatric Outpatient Department and Urgent Care Centre at CHI Connolly in Blanchardstown. The waiting lists for this site are incorporated into the Children's Health Ireland figures.

Please note that NTPF does not collect activity data, i.e., numbers treated or removed. A snapshot of the number of patients waiting in each hospital is collected and published, monthly, on the NTPF website.

Boards and management of individual public hospitals are responsible for the accuracy and the integrity of patient data submitted to NTPF.

The NTPF commenced publishing separate Adult and Child Waiting List Reports in April 2021. The Open Data report formats reflect this change from that date forward.

--- Original source retains full ownership of the source dataset ---

Introduction: Although hospitals are key health service providers, their financial ties to drug companies have been rarely scrutinised. In developing this body of work, we examine industry payments for non-research activities to National Health Service (NHS) trusts – hospital groupings providing publicly funded secondary and tertiary care in England. Methods: We extracted data from the industry-run Disclosure UK database, analysing payment distribution descriptively and identifying trends in medians with the Jonckheere-Terpstra test. The payment value and number per NHS trust were explained using random effects models. Results: Between 2015 and 2018, 116 companies reported paying £60,253,421.86 to 235 trusts. As a share of payments to all healthcare organisations the number of payments to trusts rose from 38.64% to 39.48%, but their value dropped from 33.01% to 23.61%. While the number of all payment types rose, fees for service and consultancy and contributions to costs of events increased by 61.55% and 29.43%, respectively. The median payment values decreased significantly for trusts overall, including those with lower autonomy from central government; providing acute services; and from four of the eight regions of England. The random effects model showed that trusts with all other service profiles received a significantly lower value of payments on average than acute trusts; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more payments than others. Trusts also received significantly lower (but not fewer) payments in 2018 than in 2015. Conclusion: NHS trusts were losing importance as funding targets relative to other healthcare organisations. Industry payment strategies shifted towards engaging with NHS trusts using events sponsorship, consultancies, and smaller payments. Industry prioritised payments to trusts with specific service and geographical profiles. More granular disclosure is necessary to understand the role of corporate funding across the health system.