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Health care resource utilization leading to a diagnosis of soft tissue sarcoma

The Sarcoma Journal. 2019 March;3(1):8-15

Abstract

Introduction: The challenges of diagnosing soft tissue sarcoma are not well studied; however, the heterogeneity of its presentation would suggest that patients may experience a complex journey in the health care system prior to reaching an accurate diagnosis. This study was designed to evaluate the diagnoses, procedures, and health care resource utilization of patients with soft tissue sarcoma compared to a matched healthy control cohort.

Methods: Patients in the sarcoma cohort were identified in claims data by the presence of diagnosis codes for soft tissue sarcoma. Controls were matched using exact methods on demographic, employment, and insurance variables at the date of the index sarcoma diagnosis. Health care resource utilization and diagnosis and procedure codes were compared between the cohorts during the prediagnosis period (6 months prior to the index and matched date). T test was used for continuous variables and Chi-square or Fisher’s exact test was used for categorical variables.

Results: A total of 7826 sarcoma patients were matched to 7826 controls on demographic, employment, and insurance variables. Diagnoses of uncertain neoplasms, limb pain, and hypertension, as well as anemia, neutropenia, thrombocytopenia, cardiac dysrhythmia, cellulitis, constipation, dehydration, diarrhea, dyspnea, edema, fatigue, gangrene, hemorrhage, nausea, pancreatitis, proteinuria, pulmonary fibrosis, rash, renal failure, vomiting, and watery eyes were significantly greater in the sarcoma cohort versus controls (all P <.05). The majority of health care resource utilization evaluated showed statistically higher utilization in the sarcoma cohort versus matched controls.

Conclusions: Sarcoma patients had many health conditions and diagnoses that significantly differed from controls during the 6-month period prior to diagnosis. These data provide initial evidence regarding the quantity and frequency of additional health care resources used and symptoms experienced leading to the diagnosis of sarcoma.

Key words: sarcoma, diagnosis, health care resource utilization, health care economics


All ICD-9 diagnostic and procedure codes present in the matched 6-month time period pre-index diagnosis were compared to explore factors that may be more likely to be present in the sarcoma cohort compared to matched controls. Univariate analysis was conducted for each prediagnosis variable. Analyses were conducted using T test for continuous variables, and Chi-square or Fisher’s exact test was used for categorical variables.

Number of physician visits, inpatient hospital stays, surgical procedures, and emergency room visits were compared between those in the sarcoma cohort and matched controls during the matched 6-month pre-index period. The post-index diagnosis employment status was also compared between groups using the HPM database. Comparisons between the sarcoma cohort and control cohort were made among the actively employed patients at baseline related to the proportion of patients who continued active employment, the proportion who permanently discontinued work, and the proportion who initially discontinued work and then returned to work at a later time. No adjustments were made for multiple comparisons.

Results

A total of 7826 controls were each matched to patients in the sarcoma cohort. The baseline characteristics of the study cohorts are provided in Table 1

Patients with a suspected sarcoma had a mean age of 58 and were relatively balanced between male (52%) and female (48%) patients. All matched clinical and demographic variables were equivalent between groups as demonstrated in Table 1, as would be expected. The average duration of follow-up in the database was longer for the control cohort (1517.6 days, standard deviation [SD]=923.8) than for patients suspected of having sarcoma (924.5 days, SD=811.5) (P<.0001).

During the 6-month period before the sarcoma diagnosis (prediagnosis period), patients had significantly greater frequency of diagnoses identified than controls for uncertain neoplasms, limb pain, and hypertension (all P<.001, Table 2). 

 
Both groups had type 2 diabetes rates higher than 10%. The symptoms patients were experiencing during the 6-month matched prediagnosis period were notable, as presented in Table 2. Most ICD codes identified in the cohorts during this period were significantly higher among those later suspected of having sarcoma, including anemia, neutropenia, thrombocytopenia, cardiac dysrhythmia, cellulitis, constipation, dehydration, diarrhea, dyspnea, edema, fatigue, gangrene, hemorrhage, nausea, pancreatitis, proteinuria, pulmonary fibrosis, rash, renal failure, vomiting, and watery eyes (all statistically significant at P<.05).

Similarly, the majority of health care resource utilization factors evaluated showed statistically higher health care use among patients later suspected of having sarcoma than matched controls (Table 3). 

Patients later suspected of having sarcoma were more likely to have surgical procedures, including an excision, resection, biopsy, or diagnostic procedure (all P<.0001). Blood tests were also more likely to have been performed among those diagnosed with sarcoma (41.5% vs 29.2%, P<.0001). Hospitalizations occurred in 15.6% of those diagnosed with sarcoma versus 7.7% among controls (P<.0001). Emergency room visits and physician clinic visits were also statistically significant, but the absolute rates were more modest (18.7% vs 14.6% and 94.3% vs 91.3%, respectively).