Are symptoms of ovarian cancer evident: A retrospective analysis of claims data to determine prior symptoms to diagnosis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 5565-5565
Author(s):  
Denise Manon Langabeer ◽  
Cecilia Ganduglia Cazaban ◽  
Michael D Swartz ◽  
Trudy Krause
Keyword(s):  
Ovarian Cancer ◽  
Retrospective Analysis ◽  
Claims Data ◽  
Standard Of Care ◽  
Screening Methods ◽  
Eligibility Criteria ◽  
Diagnosis Codes ◽  
Health Insurance Claims ◽  
Analysis Of Claims Data ◽  
Specific Symptoms

5565 Background: There are no standard of care screening methods for ovarian cancer. Over sixty percent (60%) of ovarian cancer cases are found at Stage III and IV, which ultimately impacts a woman’s survival rate. The purpose of this study is to determine if specific symptoms are evident prior to diagnosis of ovarian cancer. Methods: A retrospective analysis of health insurance claims between 2008 through 2013 from a commercial payer was performed based on the following eligibility criteria: 1) women diagnosed with ovarian cancer, 2) at the time of diagnosis, 24 years of age or older, 3) enrolled in healthcare plan for a period of 24 months or more prior to diagnosis, and 4) resident in the state of Texas. Symptoms were identified based on ICD-9 diagnosis codes and categorized specific to pain, abdominal and pelvis, digestive, and bladder and were evaluated at minimum of six months prior to diagnosis. ICD9 codes are used for this analysis as the data is limited to years before the change to ICD10. Results: Baseline data of 3,641 women diagnosed with ovarian cancer were identified and were associated with 927,528 claims specific to the symptoms. The age of women diagnosed with cancer ranged between 24 and 88 (mean=52; SD: 0.1833). Nearly 70% of women were treated for one or more symptoms prior to diagnosis. The symptoms women experienced the most were associated with abdomen and pelvis at 60%. Pain, digestive, and bladder ranged between 20% and 30%. Conclusions: This research is intended to further explore whether symptoms are evident in women diagnosed with this disease, and if so, how long and how frequent did the symptoms occur prior to diagnosis. Additionally, a review of combination of symptoms is explored. This research is intended to provide a better understanding of the disease as well as support that women may need to be referred to an oncologist earlier for further evaluation should reoccurring symptoms present.

scholarly journals Identification of Ovarian Cancer Symptoms in Health Insurance Claims Data

2010 ◽  
Vol 19 (3) ◽  
pp. 381-389 ◽  
Author(s):  
Sean M. Devlin ◽  
Paula H. Diehr ◽  
M. Robyn Andersen ◽  
Barbara A. Goff ◽  
Patrick T. Tyree ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Health Insurance ◽  
Claims Data ◽  
Insurance Claims ◽  
Cancer Symptoms ◽  
Insurance Claims Data ◽  
Health Insurance Claims Data ◽  
Health Insurance Claims

scholarly journals The Clinical and Economic Burden of Newly Diagnosed Hereditary Transthyretin (ATTRv) Amyloidosis: A Retrospective Analysis of Claims Data

2020 ◽  
Vol 9 (2) ◽  
pp. 473-482
Author(s):  
Sheila R. Reddy ◽  
Eunice Chang ◽  
Marian H. Tarbox ◽  
Michael S. Broder ◽  
Ryan S. Tieu ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Economic Burden ◽  
Claims Data ◽  
Newly Diagnosed ◽  
Analysis Of Claims Data

scholarly journals Development of algorithms for identifying patients with Crohn’s disease in the Japanese health insurance claims database

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258537
Author(s):  
Hiromu Morikubo ◽  
Taku Kobayashi ◽  
Tomohiro Fukuda ◽  
Takayoshi Nagahama ◽  
Tadakazu Hisamatsu ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Health Insurance ◽  
Crohn's Disease ◽  
Claims Data ◽  
Observer Agreement ◽  
Insurance Claims ◽  
Predictive Values ◽  
Claims Database ◽  
Diagnosis Codes ◽  
Health Insurance Claims

Background Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn’s disease (CD) has yet been validated. In this study we aim to develop an algorithm for identifying CD using the claims data of the insurance system. Methods A single-center retrospective study to develop a CD extraction algorithm from insurance claims data was conducted. Patients visiting the Kitasato University Kitasato Institute Hospital between January 2015–February 2019 were enrolled, and data were extracted according to inclusion criteria combining the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis codes with or without prescription or surgical codes. Hundred cases that met each inclusion criterion were randomly sampled and positive predictive values (PPVs) were calculated according to the diagnosis in the medical chart. Of all cases, 20% were reviewed in duplicate, and the inter-observer agreement (Kappa) was also calculated. Results From the 82,898 enrolled, 255 cases were extracted by diagnosis code alone, 197 by the combination of diagnosis and prescription codes, and 197 by the combination of diagnosis codes and prescription or surgical codes. The PPV for confirmed CD cases was 83% by diagnosis codes alone, but improved to 97% by combining with prescription codes. The inter-observer agreement was 0.9903. Conclusions Single ICD-code alone was insufficient to define CD; however, the algorithm that combined diagnosis codes with prescription codes indicated a sufficiently high PPV and will enable outcome-based research on CD using the Japanese claims database.

Are symptoms distinguishable in ovarian cancer? A nested case control study of insurance claims.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 6063-6063
Author(s):  
Denise Manon Langabeer ◽  
Trudy Krause ◽  
Cecilia M Ganduglia Cazaban ◽  
Michael D Swartz ◽  
David S Lopez ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Screening Method ◽  
Case Control ◽  
Screening Methods ◽  
Control Analysis ◽  
Insurance Claims ◽  
Eligibility Criteria ◽  
Pelvic Symptoms ◽  
Nested Case Control ◽  
Observation Period

6063 Background: Over 60% of ovarian cancer cases are diagnosed with Stage III and IV disease. The US healthcare system does not support a standard screening method for ovarian cancer. Our goal was to determine whether certain symptoms based on ICD-9 categories are distinguishable among women diagnosed with ovarian cancer and women without ovarian cancer. Methods: Women diagnosed with ovarian cancer were randomly matched 1:1 to women without cancer to support a nested case-control analysis of health insurance claims between 2008 through 2013 from a commercial payer. The following eligibility criteria were applied: 1) 24 years of age or older; 2) continuously enrolled in healthcare plan for a minimum period of 6 months; 3) experienced more than 1 symptom over the observation period; and 4) an observation period of a minimum of 6 months. Symptoms were based on 47 ICD-9 diagnosis codes and categorized specific to pain, abdominal and pelvic, digestive, and bladder. The analysis was based on 1,578 women (789 cases; 789 controls). Results: Overall, 90% (n = 1,421) of the women experienced abdominal and pelvic symptoms, and 92% (n = 725) of the women with ovarian cancer visited their physician for this complaint 6-70 months prior to diagnosis, OR 1.66 (CI 1.14 to 2.41; p = .008). Pain was reported as a complaint by cases at nearly 60% (n = 464) and controls at 48% (n = 376); OR 1.75 (CI 1.39 to 2.19; p < .001). Symptoms for bladder and digestive combined represented 68% of complaints for both cases (n = 507) and controls (n = 555), p = .024 and p = .298, respectively. Of the 1,578 women, 77% (cases = 621; controls = 595) experienced more than one category of symptoms. Both cases (n = 206) and controls (n = 153) complained of abdomen and pelvic symptoms along with pain; OR 1.54 (CI 1.19 to 1.99; p = .001). A second combination included abdomen and pelvic symptoms with pain and digestive symptoms in 14% of women (cases n = 99; controls n = 67); OR 1.58 (CI 1.13 to 2.22; p = .008). Sixty percent (n = 473) of women with ovarian cancer experienced the majority of associated pre-diagnosed symptoms analyzed for the study. Conclusions: Certain recurring symptoms associated with abdomen and pelvic as well as pain appear to indicate an association with ovarian cancer, signifying that symptom awareness remains relevant to this disease that is diagnosed at a late stage and currently does not have routine screening methods to support early detection.

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