Literature DB >> 25126292

Predictive and prognostic models: implications for healthcare decision-making in a modern recession.

F Randy Vogenberg1.   

Abstract

Various modeling tools have been developed to address the lack of standardized processes that incorporate the perspectives of all healthcare stakeholders. Such models can assist in the decision-making process aimed at achieving specific clinical outcomes, as well as guide the allocation of healthcare resources and reduce costs. The current efforts in Congress to change the way healthcare is financed, reimbursed, and delivered have rendered the incorporation of modeling tools into the clinical decision-making all the more important. Prognostic and predictive models are particularly relevant to healthcare, particularly in the clinical decision-making, with implications for payers, patients, and providers. The use of these models is likely to increase, as providers and patients seek to improve their clinical decision process to achieve better outcomes, while reducing overall healthcare costs.

Entities:  

Year:  2009        PMID: 25126292      PMCID: PMC4106488     

Source DB:  PubMed          Journal:  Am Health Drug Benefits        ISSN: 1942-2962


  14 in total

Review 1.  Prognostic models in medicine. AI and statistical approaches.

Authors:  A Abu-Hanna; P J Lucas
Journal:  Methods Inf Med       Date:  2001-03       Impact factor: 2.176

2.  Performance of a predictive model to identify undiagnosed diabetes in a health care setting.

Authors:  C A Baan; J B Ruige; R P Stolk; J C Witteman; J M Dekker; R J Heine; E J Feskens
Journal:  Diabetes Care       Date:  1999-02       Impact factor: 19.112

3.  Predictive modeling, sharp lens on near future.

Authors:  Bob Carlson
Journal:  Manag Care       Date:  2003-07

Review 4.  Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve.

Authors:  Nancy R Cook
Journal:  Clin Chem       Date:  2007-11-16       Impact factor: 8.327

5.  Comparison of a disease-specific and a generic severity of illness measure for patients with community-acquired pneumonia.

Authors:  M J Fine; B H Hanusa; J R Lave; D E Singer; R A Stone; L A Weissfeld; C M Coley; T J Marrie; W N Kapoor
Journal:  J Gen Intern Med       Date:  1995-07       Impact factor: 5.128

6.  Value-based benefit design: using a predictive modeling approach to improve compliance.

Authors:  John J Mahoney
Journal:  J Manag Care Pharm       Date:  2008-07

7.  Evidence-based medicine and the practicing clinician.

Authors:  F A McAlister; I Graham; G W Karr; A Laupacis
Journal:  J Gen Intern Med       Date:  1999-04       Impact factor: 5.128

8.  Validation of a pneumonia prognostic index using the MedisGroups Comparative Hospital Database.

Authors:  M J Fine; D E Singer; B H Hanusa; J R Lave; W N Kapoor
Journal:  Am J Med       Date:  1993-02       Impact factor: 4.965

Review 9.  Performance of prognostic models in critically ill cancer patients - a review.

Authors:  Sylvia den Boer; Nicolette F de Keizer; Evert de Jonge
Journal:  Crit Care       Date:  2005-07-08       Impact factor: 9.097

Review 10.  Systematic review of prognostic models in traumatic brain injury.

Authors:  Pablo Perel; Phil Edwards; Reinhard Wentz; Ian Roberts
Journal:  BMC Med Inform Decis Mak       Date:  2006-11-14       Impact factor: 2.796

View more
  22 in total

1.  Development and validation of a 5-year mortality prediction model using regularized regression and Medicare data.

Authors:  Jennifer L Lund; Tzy-Mey Kuo; M Alan Brookhart; Anne-Marie Meyer; Alexandra F Dalton; Christine E Kistler; Stephanie B Wheeler; Carmen L Lewis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-03-19       Impact factor: 2.890

2.  Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool.

Authors:  Helen E Edwards; Christina N Parker; Charne Miller; Michelle Gibb; Suzanne Kapp; Rajna Ogrin; Jacinta Anderson; Kerrie Coleman; Dianne Smith; Kathleen J Finlayson
Journal:  Int Wound J       Date:  2017-12-26       Impact factor: 3.315

3.  Systematic review of prediction models for postacute care destination decision-making.

Authors:  Erin E Kennedy; Kathryn H Bowles; Subhash Aryal
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

4.  Integration of Risk Scores and Integration Capability in Electronic Patient Records.

Authors:  Ann-Kathrin Heider; Harald Mang
Journal:  Appl Clin Inform       Date:  2022-09-07       Impact factor: 2.762

5.  Risk of major postoperative complications in breast reconstructive surgery with and without an acellular dermal matrix: A development of a prognostic prediction model.

Authors:  N S Hillberg; J Hogenboom; J Hommes; S M J Van Kuijk; X H A Keuter; R R W J van der Hulst
Journal:  JPRAS Open       Date:  2022-05-12

6.  Patient-Reported Outcomes Predict Progression-Free Survival of Patients with Advanced Breast Cancer Treated with Abemaciclib.

Authors:  Sarah Badaoui; Ganessan Kichenadasse; Andrew Rowland; Michael J Sorich; Ashley M Hopkins
Journal:  Oncologist       Date:  2021-05-11

Review 7.  Prognostic models for complete recovery in ischemic stroke: a systematic review and meta-analysis.

Authors:  Nampet Jampathong; Malinee Laopaiboon; Siwanon Rattanakanokchai; Porjai Pattanittum
Journal:  BMC Neurol       Date:  2018-03-09       Impact factor: 2.474

8.  Fecal Microbiota Signatures Are Associated with Response to Ustekinumab Therapy among Crohn's Disease Patients.

Authors:  Matthew K Doherty; Tao Ding; Charlie Koumpouras; Shannon E Telesco; Calixte Monast; Anuk Das; Carrie Brodmerkel; Patrick D Schloss
Journal:  mBio       Date:  2018-03-13       Impact factor: 7.867

9.  Methodological rigor of prognostic models for predicting in-hospital paediatric mortality in low- and middle-income countries: a systematic review protocol.

Authors:  Morris Ogero; Rachel Sarguta; Lucas Malla; Jalemba Aluvaala; Ambrose Agweyu; Samuel Akech
Journal:  Wellcome Open Res       Date:  2020-05-27

10.  An Application of Bayesian Approach in Modeling Risk of Death in an Intensive Care Unit.

Authors:  Rowena Syn Yin Wong; Noor Azina Ismail
Journal:  PLoS One       Date:  2016-03-23       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.