Results 1 to 10 of about 24,931,593 (255)

Comparison of Fracture Identification Using Different Definitions in Healthcare Administrative (Claims) Data [PDF]

Pharmacy, 2023
We identified inconsistency in fracture definitions in a prior review of studies that utilized claims data. Here, we aimed to compare fracture rates estimated using thirteen hip and seven radius/ulna fracture definitions.
Natalia Konstantelos, Andrea M. Burden, Angela M. Cheung, Sandra Kim, Paul Grootendorst, Suzanne M. Cadarette   +5 more
doaj   +2 more sources

Validation of ICD-10-CM diagnosis codes for identifying COVID-19 cases using administrative claims data in Taiwan [PDF]

BMC Infectious Diseases
Background Accurate identification of COVID-19 cases is essential for real-world studies. This study assessed the validity of ICD-10-CM code U07.1 for identifying COVID-19 cases in administrative claims data in Taiwan.
Wei-Lun Chang, Chia-Ling Wu, Cheng-Hsun Chiu, Yu-Tung Huang   +3 more
doaj   +2 more sources

Development and validation of a distributed representation model of Japanese high-dimensional administrative claims data for clinical epidemiology studies [PDF]

BMC Medical Research Methodology
Background Unmeasured confounders pose challenges when observational data are analysed in comparative effectiveness studies. Integrating high-dimensional administrative claims data may help adjust for unmeasured confounders.
Hiroki Matsui, Kiyohide Fushimi, Hideo Yasunaga   +2 more
doaj   +2 more sources

Machine learning to identify chronic cough from administrative claims data [PDF]

Scientific Reports
Accurate identification of patient populations is an essential component of clinical research, especially for medical conditions such as chronic cough that are inconsistently defined and diagnosed.
Vishal Bali, Vladimir Turzhitsky, Jonathan Schelfhout, Misti Paudel, Erin Hulbert, Jesse Peterson-Brandt, Jeffrey Hertzberg, Neal R. Kelly, Raja H. Patel   +8 more
doaj   +2 more sources

Validation of algorithms to identify colorectal cancer patients from administrative claims data of a Japanese hospital [PDF]

BMC Health Services Research, 2023
Background Administrative claims data are a valuable source for clinical studies; however, the use of validated algorithms to identify patients is essential to minimize bias.
Takahiro Hirano, Makiko Negishi, Yoshiki Kuwatsuru, Masafumi Arai, Ryozo Wakabayashi, Naoko Saito, Ryohei Kuwatsuru   +6 more
doaj   +2 more sources

Appropriate definition of diabetes using an administrative database: A cross‐sectional cohort validation study

Journal of Diabetes Investigation, 2022
Aims/Introduction The purpose of the present study was to quantify errors in the diagnosis of diabetes for use in the national database, using a sufficient population size.
Yuichi Nishioka, Saki Takeshita, Shinichiro Kubo, Tomoya Myojin, Tatsuya Noda, Sadanori Okada, Hitoshi Ishii, Tomoaki Imamura, Yutaka Takahashi   +8 more
doaj   +1 more source

Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program’s Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study

JMIR Public Health and Surveillance, 2023
BackgroundSickle cell disease (SCD) was first recognized in 1910 and identified as a genetic condition in 1949. However, there is not a universal clinical registry that can be used currently to estimate its prevalence.
Ashima Singh, Marci K Sontag, Mei Zhou, Mahua Dasgupta, Tessa Crume, Morgan McLemore, Najibah Galadanci, Eldrida Randall, Nicole Steiner, Amanda M Brandow, Kathryn Koch, Joshua J Field, Kathryn Hassell, Angela B Snyder, Julie Kanter   +14 more
doaj   +1 more source

Physician code creep after the initiation of outpatient volume control program and implications for appropriate ICD-10-CM coding

BMC Health Services Research, 2020
Background Most studies on the physician code creep (i.e., changes in case mix record-keeping practices to improve reimbursement) have focused on episodes (inpatient hospitalizations or outpatient procedures).
Fu-Wen Liang, Liang-Yi Wang, Lin-Yi Liu, Chung Yi Li, Tsung-Hsueh Lu   +4 more
doaj   +1 more source

Impact of coexisting diabetes on survival and risk of developing second primary cancer in diabetes patients receiving drug therapy: A multicenter retrospective cohort study of patients with cancer in Japan

Journal of Diabetes Investigation, 2023
Aims/Introduction We investigated the association between coexisting diabetes at the time of cancer diagnosis, and the overall survival and incidence of second primary cancer in patients with cancer and receiving drug therapy for diabetes.
Yoshihiro Kuwabara, Toshitaka Morishima, Satomi Odani, Haruka Kudo, Chaochen Ma, Mizuki Kato, Shihoko Koyama, Mari Kajiwara Saito, Kayo Nakata, Takahiro Tabuchi, Isao Miyashiro   +10 more
doaj   +1 more source

The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study

Journal of Diabetes Investigation, 2022
This study clarified the age of death in patients with or without diabetes using the largest health insurance database in Japan. This population‐based retrospective cohort study was performed using the National Database of Health Insurance Claims and ...
Yuichi Nishioka, Shinichiro Kubo, Sadanori Okada, Tomoya Myojin, Tsuneyuki Higashino, Kenjiro Imai, Takehiro Sugiyama, Tatsuya Noda, Hitoshi Ishii, Yutaka Takahashi, Tomoaki Imamura   +10 more
doaj   +1 more source