Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
We conducted a cross-sectional study of the publicly available 2022 Open Payments data to characterize and quantify sponsored events (available for download at: https://www.cms.gov/priorities/key-initiatives/open-payments/data/dataset-downloads). Data sources We downloaded the 2022 dataset ZIP files from the Open Payments website on June 30th, 2023. We included all records for nurse practitioners, clinical nurse specialists, certified registered nurse anesthetists, and certified nurse-midwives (hereafter advanced practiced registered nurses (APRNs)); and allopathic and osteopathic physicians (hereafter, ‘physicians’). To ensure consistency in provider classification, we linked Payments data to the National Plan and Provider Enumeration System data (June 2023) by National Provider Identifier (NPI) and the National Uniform Claim Committee (NUCC) and excluded individuals with an ambiguous provider type. Event-centric analysis of Open Payments records: Creating an event typology We included only payments classified as “food and beverage” to reliably identify distinct sponsored events. We reasoned that food and beverage would be consumed on the same day in the same place, thus assumed that records for food and beverage associated with the same event would share the date of payment and location. We also assumed that the reported value of a food and beverage payment is the total cost of the hospitality divided by the number of attendees, thus grouped payment records with the same amount, rounded to the nearest dollar. Inferring which Open Payment records relate to the same sponsored event requires analytic decisions regarding the selection and representation of variables that define an event. To understand the impact of these choices, we undertook a sensitivity analysis to explore alternative ways to group Open Payments records for food and beverage, to determine how combination of variables, including date (specific date or within the same calendar week), amount (rounded to nearest dollar), and recipient’s state, affected the identification of sponsored events in the Open Payments data set. We chose to define a sponsored event as a cluster of three or more individual payment records for food and beverage (nature of payment) with the following matching Open Payments record variables: • Submitting applicable manufacturer (name) • Product category or therapeutic area • Name of drug or biological or device or medical supply • Recipient state • Total amount of payment (USD, rounded to nearest dollar) • Date of payment (exact) After examining the distribution of the data, we classified events in terms of size (≥20 attendees as “large” and 3-<20 as “small”) and amount per person. We categorized events <$10 as “coffee”, $10-<$30 as “lunch”, $30-<$150 as “dinner”, and ≥$150 as “banquet”.
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
Contains full records from the CMS Open Payments Data API. About openpaymentsdata.cms.gov: The mission of the program is to provide the public with a more transparent health care system. Open Payments collects and publishes information about financial relationships between drug and medical device companies (referred to as "reporting entities") and certain health care providers (referred to as "covered recipients"). These relationships may involve payments to providers for things including but not limited to research, meals, travel, gifts or speaking fees. All information available on the Open Payments database is open to personal interpretation and if there are questions about the data, patients and their advocates should speak directly to the health care provider for a better understanding.
This dataset is pre-filtered based on the most frequent searches of Open Payments data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This .zip files contains:1. A PostgreSQL 9.6 dump of a database containing all information on "General Payments" to physicians from all available program year data (partial year 2013 - 2016) provided through Open Payments (https://www.cms.gov/openpayments/)2. Query used to generate summary statistics for analysis of data.3. README file with additional information.Open Payments data provided under a ODbL license via the Centers for Medicare and Medicaid Services and this dataset is shared under the same license. (https://www.healthdata.gov/dataset/open-payments-data-0)Original full datasets can be downloaded from:https://www.cms.gov/OpenPayments/Explore-the-Data/Dataset-Downloads.html
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table provides a statistics on Distribution of Physician Payments by Program and Specialty under the Alberta Health Care Insurance Plan (AHCIP). This table is an Excel version of a table in the “Alberta Health Care Insurance Plan Statistical Supplement” report published annually by Alberta Health.
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
Every year, CMS will update the Open Payments data at least once after its initial publication. The refreshed data will include updates to data disputes and other data corrections made since the initial publication of this data documenting payments or transfers of value to physicians and teaching hospitals, and physician ownership and investment interests. This financial data is submitted by applicable manufacturers and applicable group purchasing organizations (GPOs). #### What data is collected? Applicable manufacturers and GPOs submit data to Open Payments about payments or other transfers of value between applicable manufacturers and GPOs and physicians or teaching hospitals: 1. Paid directly to physicians and teaching hospitals (known as direct payments) 2. Paid indirectly to physicians and teaching hospitals (known as indirect payments) through an intermediary such as a medical specialty society 3. Designated by physicians or teaching hospitals to be paid to another party (known
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
Every year, CMS will update the Open Payments data at least once after its initial publication. The refreshed data will include updates to data disputes and other data corrections made since the initial publication of this data documenting payments or transfers of value to physicians and teaching hospitals, and physician ownership and investment interests. This financial data is submitted by applicable manufacturers and applicable group purchasing organizations (GPOs). #### What data is collected? Applicable manufacturers and GPOs submit data to Open Payments about payments or other transfers of value between applicable manufacturers and GPOs and physicians or teaching hospitals: 1. Paid directly to physicians and teaching hospitals (known as direct payments) 2. Paid indirectly to physicians and teaching hospitals (known as indirect payments) through an intermediary such as a medical specialty society 3. Designated by physicians or teaching hospitals to be paid to another party (known
This dataset is pre-filtered based on the most frequent searches of Open Payments data.
https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
Every year, CMS will update the Open Payments data at least once after its initial publication. The refreshed data will include updates to data disputes and other data corrections made since the initial publication of this data documenting payments or transfers of value to physicians and teaching hospitals, and physician ownership and investment interests. This financial data is submitted by applicable manufacturers and applicable group purchasing organizations (GPOs). #### What data is collected? Applicable manufacturers and GPOs submit data to Open Payments about payments or other transfers of value between applicable manufacturers and GPOs and physicians or teaching hospitals: 1. Paid directly to physicians and teaching hospitals (known as direct payments) 2. Paid indirectly to physicians and teaching hospitals (known as indirect payments) through an intermediary such as a medical specialty society 3. Designated by physicians or teaching hospitals to be paid to another party (known
This dataset is pre-filtered based on the most frequent searches of Open Payments data.
This dataset tracks the updates made on the dataset "Open Payments Data" as a repository for previous versions of the data and metadata.
This dataset provides profile information to display on payment search results.
Ownership Payment Data - Detailed Dataset 2023 Reporting Year All ownership and investment payments from the 2023 program year [January 1 – December 31, 2023]
Ownership Payment Data - Detailed Dataset 2021 Reporting Year All ownership and investment payments from the 2021 program year [January 1 – December 31, 2021]
Ownership Payment Data - Detailed Dataset 2022 Reporting Year All ownership and investment payments from the 2022 program year [January 1 – December 31, 2022]
Ownership Payment Data - Detailed Dataset 2018 Reporting Year All ownership and investment payments from the 2018 program year [January 1 – December 31, 2018]
All general (non-research, non-ownership related) payments from the 2019 program year [January 1 – December 31, 2019]
NOTE: This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of Microsoft Excel supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.
All general (non-research, non-ownership related) payments from the 2018 program year [January 1 – December 31, 2018]
NOTE: This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of Microsoft Excel supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.
Ownership Payment Data - Detailed Dataset 2020 Reporting Year All ownership and investment payments from the 2020 program year [January 1 – December 31, 2020]
All general (non-research, non-ownership related) payments from the 2023 program year [January 1 – December 31, 2023]
NOTE: This is a very large file and, depending on your network characteristics and software, may take a long time to download or fail to download. Additionally, the number of rows in the file may be larger than the maximum rows your version of Microsoft Excel supports. If you can't download the file, we recommend engaging your IT support staff. If you are able to download the file but are unable to open it in MS Excel or get a message that the data has been truncated, we recommend trying alternative programs such as MS Access, Universal Viewer, Editpad or any other software your organization has available for large datasets.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
We conducted a cross-sectional study of the publicly available 2022 Open Payments data to characterize and quantify sponsored events (available for download at: https://www.cms.gov/priorities/key-initiatives/open-payments/data/dataset-downloads). Data sources We downloaded the 2022 dataset ZIP files from the Open Payments website on June 30th, 2023. We included all records for nurse practitioners, clinical nurse specialists, certified registered nurse anesthetists, and certified nurse-midwives (hereafter advanced practiced registered nurses (APRNs)); and allopathic and osteopathic physicians (hereafter, ‘physicians’). To ensure consistency in provider classification, we linked Payments data to the National Plan and Provider Enumeration System data (June 2023) by National Provider Identifier (NPI) and the National Uniform Claim Committee (NUCC) and excluded individuals with an ambiguous provider type. Event-centric analysis of Open Payments records: Creating an event typology We included only payments classified as “food and beverage” to reliably identify distinct sponsored events. We reasoned that food and beverage would be consumed on the same day in the same place, thus assumed that records for food and beverage associated with the same event would share the date of payment and location. We also assumed that the reported value of a food and beverage payment is the total cost of the hospitality divided by the number of attendees, thus grouped payment records with the same amount, rounded to the nearest dollar. Inferring which Open Payment records relate to the same sponsored event requires analytic decisions regarding the selection and representation of variables that define an event. To understand the impact of these choices, we undertook a sensitivity analysis to explore alternative ways to group Open Payments records for food and beverage, to determine how combination of variables, including date (specific date or within the same calendar week), amount (rounded to nearest dollar), and recipient’s state, affected the identification of sponsored events in the Open Payments data set. We chose to define a sponsored event as a cluster of three or more individual payment records for food and beverage (nature of payment) with the following matching Open Payments record variables: • Submitting applicable manufacturer (name) • Product category or therapeutic area • Name of drug or biological or device or medical supply • Recipient state • Total amount of payment (USD, rounded to nearest dollar) • Date of payment (exact) After examining the distribution of the data, we classified events in terms of size (≥20 attendees as “large” and 3-<20 as “small”) and amount per person. We categorized events <$10 as “coffee”, $10-<$30 as “lunch”, $30-<$150 as “dinner”, and ≥$150 as “banquet”.