Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Canadian Respiratory Journal |
| Online Access: | http://dx.doi.org/10.1155/2016/1690482 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565396964638720 |
|---|---|
| author | Eric Frechette Keegan Guidolin Ayman Seyam Yun-Hee Choi Sarah Jones J. Andrew McClure Jennifer Winick-Ng Blayne Welk Richard A. Malthaner |
| author_facet | Eric Frechette Keegan Guidolin Ayman Seyam Yun-Hee Choi Sarah Jones J. Andrew McClure Jennifer Winick-Ng Blayne Welk Richard A. Malthaner |
| author_sort | Eric Frechette |
| collection | DOAJ |
| description | Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject. Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases. Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups. Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p=0.038) and positive predictive value (87% versus 46%, p<0.001) in patients under 40 years of age than in older patients. Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies. |
| format | Article |
| id | doaj-art-8e08ec054ee04428838ad924815ed99b |
| institution | Kabale University |
| issn | 1198-2241 1916-7245 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Canadian Respiratory Journal |
| spelling | doaj-art-8e08ec054ee04428838ad924815ed99b2025-02-03T01:07:59ZengWileyCanadian Respiratory Journal1198-22411916-72452016-01-01201610.1155/2016/16904821690482Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation StudyEric Frechette0Keegan Guidolin1Ayman Seyam2Yun-Hee Choi3Sarah Jones4J. Andrew McClure5Jennifer Winick-Ng6Blayne Welk7Richard A. Malthaner8Division of Thoracic Surgery, Department of Surgery, Western University, London, ON, N6A 3K7, CanadaDivision of Thoracic Surgery, Department of Surgery, Western University, London, ON, N6A 3K7, CanadaDivision of Thoracic Surgery, Department of Surgery, Western University, London, ON, N6A 3K7, CanadaDepartment of Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, CanadaDivision of Pediatric Surgery, Department of Surgery, Western University, London, ON, N6A 3K7, CanadaLondon Health Sciences Centre, London, ON, N6A 5W9, CanadaLondon Health Sciences Centre, London, ON, N6A 5W9, CanadaDepartment of Epidemiology and Biostatistics, Western University, London, ON, N6A 3K7, CanadaDivision of Thoracic Surgery, Department of Surgery, Western University, London, ON, N6A 3K7, CanadaIntroduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject. Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases. Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups. Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p=0.038) and positive predictive value (87% versus 46%, p<0.001) in patients under 40 years of age than in older patients. Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies.http://dx.doi.org/10.1155/2016/1690482 |
| spellingShingle | Eric Frechette Keegan Guidolin Ayman Seyam Yun-Hee Choi Sarah Jones J. Andrew McClure Jennifer Winick-Ng Blayne Welk Richard A. Malthaner Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study Canadian Respiratory Journal |
| title | Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study |
| title_full | Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study |
| title_fullStr | Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study |
| title_full_unstemmed | Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study |
| title_short | Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study |
| title_sort | identifying primary spontaneous pneumothorax from administrative databases a validation study |
| url | http://dx.doi.org/10.1155/2016/1690482 |
| work_keys_str_mv | AT ericfrechette identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT keeganguidolin identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT aymanseyam identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT yunheechoi identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT sarahjones identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT jandrewmcclure identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT jenniferwinickng identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT blaynewelk identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy AT richardamalthaner identifyingprimaryspontaneouspneumothoraxfromadministrativedatabasesavalidationstudy |