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Validation of Patie...
Validation of Patient Identification Algorithms for Atopic Dermatitis Using Healthcare Databases
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- Ortsäter, Gustaf (författare)
- Quantify Research, Stockholm, Sweden,Quantify Res, Stockholm, Sweden.,Quantify Research AB
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- De Geer, Anna (författare)
- Pfizer AB, Stockholm, Sweden.
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- Geale, Kirk (författare)
- Umeå University,Umeå universitet,Dermatologi och venereologi,Quantify Research, Stockholm, Sweden,Quantify Res, Stockholm, Sweden.;Umeå Univ, Dept Publ Hlth & Clin Med, Dermatol & Venerol, Umeå, Sweden.
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- Rieem Dun, Alexander (författare)
- Quantify Research, Stockholm, Sweden,Quantify Res, Stockholm, Sweden.,Quantify Research AB
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- Lindberg, Ingrid (författare)
- Quantify Research, Stockholm, Sweden,Quantify Res, Stockholm, Sweden.,Quantify Research AB
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- Thyssen, Jacob P. (författare)
- Department of Dermatology and Venerology, Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark,Univ Copenhagen, Bispebjerg Hosp, Dept Dermatol & Venerol, Copenhagen, Denmark.
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- von Kobyletzki, Laura (författare)
- Lund University,Lunds universitet,Yrkes- och miljödermatologi,Forskargrupper vid Lunds universitet,Occupational and Environmental Dermatology,Lund University Research Groups,Skåne University Hospital
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- Ballardini, Natalia (författare)
- Karolinska Institute,Karolinska Institutet,Stockholm South General Hospital
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- Henrohn, D (författare)
- Uppsala University,Uppsala universitet,Institutionen för medicinska vetenskaper,Pfizer AB, Stockholm, Sweden.
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- Neregård, Petra (författare)
- Pfizer AB, Stockholm, Sweden.
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- Cha, Amy (författare)
- Pfizer Inc, New York, United States,Pfizer Inc, New York, NY USA.
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- Cappelleri, Joseph C. (författare)
- Pfizer Inc, New York, United States; Pfizer Inc, Groton, United States,Pfizer Inc, New York, NY USA.;Pfizer Inc, Groton, CT 06340 USA.
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- Neary, Maureen P. (författare)
- Pfizer Inc, New York, United States; Pfizer Inc, Collegeville, United States,Pfizer Inc, New York, NY USA.;Pfizer Inc, Collegeville, PA USA.
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Quantify Research, Stockholm, Sweden Quantify Res, Stockholm, Sweden (creator_code:org_t)
- 2022-01-18
- 2022
- Engelska.
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Ingår i: Dermatology and Therapy. - : Adis. - 2193-8210 .- 2190-9172. ; 12, s. 545-559
- Relaterad länk:
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https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
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https://link.springe...
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http://dx.doi.org/10... (free)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- Introduction: The use of real-world data offers a possibility to perform large-scale epidemiological studies in actual clinical settings. Despite their many advantages, administrative databases were not designed to be used in research, and the validation of diagnoses and treatments in administrative databases is needed. The primary objective of this study was to validate an existing algorithm based on dispensed prescriptions and diagnoses of skin conditions to identify pediatric patients with atopic dermatitis (AD), using a diagnosis of AD in primary care as a gold standard.Methods: Retrospective observational data were collected from nation-wide secondary care and pharmacy-dispensed medication databases and two regional primary care databases in Sweden. An existing algorithm and a Modified algorithm, using skin-specific diagnoses from secondary care and/or pharmacy-dispensed prescriptions to identify patients with AD, were assessed. To verify the presence of AD, diagnoses from primary care were used in the base case and complemented with diagnoses from secondary care in a sensitivity analysis.Results: The sensitivity (30.0%) and positive predictive value (PPV) (40.7%) of the existing algorithm were low in the pediatric patient population when using primary care data only but increased when secondary care visits were also included in the Modified algorithm (sensitivity, 62.1%; PPV, 66.3%). The specificity of the two algorithms was high in both the base case and sensitivity analysis (95.1% and 94.1%). In the adult population, sensitivity and PPV were 20.4% and 8.7%, respectively, and increased to 48.3% and 16.9% when secondary care visits were also included in the Modified algorithm.Conclusion: The Modified algorithm can be used to identify pediatric AD populations using primary and secondary administrative data with acceptable sensitivity and specificity, but further modifications are needed to accurately identify adult patients with AD.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Dermatologi och venereologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Dermatology and Venereal Diseases (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Allmänmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- General Practice (hsv//eng)
Nyckelord
- Atopic dermatitis
- Patient identification
- Primary care
- Validation
- dermatologi och venereologi
- Dermatology and Venerology
- Atopic dermatitis
- Patient identification
- Primary care
- Validation
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Ortsäter, Gustaf
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De Geer, Anna
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Geale, Kirk
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Rieem Dun, Alexa ...
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Lindberg, Ingrid
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Thyssen, Jacob P ...
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von Kobyletzki, ...
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Ballardini, Nata ...
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Henrohn, D
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Neregård, Petra
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Cha, Amy
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Cappelleri, Jose ...
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Neary, Maureen P ...
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Dermatologi och ...
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Allmänmedicin
- Artiklar i publikationen
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Dermatology and ...
- Av lärosätet
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Umeå universitet
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Uppsala universitet
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Karolinska Institutet
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Lunds universitet