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How to Create an Orthopaedic Arthroplasty Administrative Database Project: A Step-by-Step Guide Part I: Study Design.
Ng, Mitchell K; Piuzzi, Nicolas S; Jason Wong, Che Hang; Delanois, Ronald E; Bozic, Kevin J; Browne, James A; Mont, Michael A.
Afiliação
  • Ng MK; Maimonides Medical Center, Department of Orthopaedic Surgery, Brooklyn, New York.
  • Piuzzi NS; Cleveland Clinic Foundation, Department of Orthopaedic Surgery, Cleveland, Ohio.
  • Jason Wong CH; Maimonides Medical Center, Department of Orthopaedic Surgery, Brooklyn, New York.
  • Delanois RE; Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, Baltimore, Maryland.
  • Bozic KJ; Dell Medical School at the University of Texas at Austin, Department of Surgery and Perioperative Care, Austin, Texas.
  • Browne JA; University of Virginia, Department of Orthopaedic Surgery, Charlottesville, Virginia.
  • Mont MA; Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, Baltimore, Maryland; Northwell Health Orthopaedics, Lenox Hill Hospital, New York, New York.
J Arthroplasty ; 38(3): 407-413, 2023 03.
Article em En | MEDLINE | ID: mdl-36241012
BACKGROUND: Use of clinical and administrative databases in orthopaedic surgery research has grown substantially in recent years. It is estimated that approximately 10% of all published lower extremity arthroplasty research have been database studies. The aim of this review is to serve as a guide on how to (1) design, (2) execute, and (3) publish an orthopaedic administrative database arthroplasty project. METHODS: In part I, we discuss how to develop a research question and choose a database (when databases should/should not be used), detailing advantages/disadvantages of those most commonly used. To date, the most commonly published databases in orthopaedic research have been the National Inpatient Sample, Medicare, National Surgical Quality Improvement Program, and those provided by PearlDiver. General advantages of most database studies include accessibility, affordability compared to prospective research studies, ease of use, large sample sizes, and the ability to identify trends and aggregate outcomes of multiple health care systems/providers. RESULTS: Disadvantages of most databases include their retrospective observational nature, limitations of procedural/billing coding, relatively short follow-up, limited ability to control for confounding variables, and lack of functional/patient-reported outcomes. CONCLUSION: Although this study is not all-encompassing, we hope it will serve as a starting point for those interested in conducting and critically reviewing lower extremity arthroplasty database studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ortopedia Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: J Arthroplasty Assunto da revista: ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ortopedia Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: J Arthroplasty Assunto da revista: ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article