Literature DB >> 29134334

Effect on Completion of Clinical Pathway for Improving Clinical Indicator: Cases of Hospital Stay, Mortality Rate, and Comprehensive-Volume Ratio.

Hiroki Furuhata1,2, Kenji Araki3, Taisuke Ogawa3, Mitsuru Ikeda4.   

Abstract

Many studies have analyzed the effects of clinical pathways, but most have considered only single diseases. The purpose of the present study was to exploratively analyze electronic medical records related to the use of clinical pathways, seeking trends that could usefully benefit clinical activity. From the data warehouse of University of Miyazaki Hospital, collected from April 2014 to March 2016, we retrospectively identified 6523 patients for whom a clinical pathway was applied. Other inclusion criteria were single hospitalization, the type of medical fee was comprehensive, and data were available so that all clinical indicators could be calculated. Two types of deviation from the clinical pathway were defined: cancellation (described in the clinical pathway but not implemented) and addition (not described in the clinical pathway but nevertheless implemented). If the code of International Classification of Diseases describing the clinical pathway differed from that describing where the medical resource was mostly spent, we considered this as indicating a complication. We compared principal clinical indicators (length of hospital stay, mortality rate, and comprehensive-volume ratio) by completion rate for the clinical pathway. Regardless of whether patients had complications, completing the clinical pathway was associated with a significant reduction in length of hospital stay. This finding indicated that length of hospital stay could be shortened if all medical treatments described in the clinical pathway were implemented. Our results demonstrated that it is possible to shorten the length of hospital stay by improving clinical pathways to include medical treatment for preventing complications.

Entities:  

Keywords:  Clinical indicator; Clinical pathway; Complication; Electronic medical record

Mesh:

Year:  2017        PMID: 29134334     DOI: 10.1007/s10916-017-0857-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

1.  Impact of the Japanese Diagnosis Procedure Combination-based Payment System on cardiovascular medicine-related costs.

Authors:  Hideo Yasunaga; Hiroo Ide; Tomoaki Imamura; Kazuhiko Ohe
Journal:  Int Heart J       Date:  2005-09       Impact factor: 1.862

2.  Impact of the Japanese diagnosis procedure combination-based payment system in Japan.

Authors:  Kai Wang; Ping Li; Ling Chen; Ken Kato; Makoto Kobayashi; Kazunobu Yamauchi
Journal:  J Med Syst       Date:  2010-02       Impact factor: 4.460

3.  [Application of the diagnosis procedure combination (DPC) data to clinical studies].

Authors:  Hideo Yasunaga; Hiroki Matsui; Hiromasa Horiguchi; Kiyohide Fushimi; Shinya Matsuda
Journal:  J UOEH       Date:  2014-09-01

4.  Implementing a clinical pathway for hip fractures; effects on hospital length of stay and complication rates in five hundred and twenty six patients.

Authors:  Paul T P W Burgers; Esther M M Van Lieshout; Joost Verhelst; Imro Dawson; Piet A R de Rijcke
Journal:  Int Orthop       Date:  2013-12-12       Impact factor: 3.075

5.  Real-time prediction of mortality, readmission, and length of stay using electronic health record data.

Authors:  Xiongcai Cai; Oscar Perez-Concha; Enrico Coiera; Fernando Martin-Sanchez; Richard Day; David Roffe; Blanca Gallego
Journal:  J Am Med Inform Assoc       Date:  2015-09-15       Impact factor: 4.497

6.  Predicting readmission risk of patients with diabetes hospitalized for cardiovascular disease: a retrospective cohort study.

Authors:  Daniel J Rubin; Sherita Hill Golden; Marie E McDonnell; Huaqing Zhao
Journal:  J Diabetes Complications       Date:  2017-05-05       Impact factor: 2.852

7.  Implementation of a clinical pathway may improve alcohol treatment outcome.

Authors:  Anette Søgaard Nielsen; Bent Nielsen
Journal:  Addict Sci Clin Pract       Date:  2015-03-07

8.  Cost-effectiveness analysis of a postoperative clinical care pathway in head and neck surgery with microvascular reconstruction.

Authors:  Jonathan F Dautremont; Luke R Rudmik; Justin Yeung; Tiffany Asante; Steve C Nakoneshny; Monica Hoy; Amanda Lui; Shamir P Chandarana; Thomas W Matthews; Christiaan Schrag; Joseph C Dort
Journal:  J Otolaryngol Head Neck Surg       Date:  2013-12-19

Review 9.  What is a clinical pathway? Refinement of an operational definition to identify clinical pathway studies for a Cochrane systematic review.

Authors:  Adegboyega K Lawal; Thomas Rotter; Leigh Kinsman; Andreas Machotta; Ulrich Ronellenfitsch; Shannon D Scott; Donna Goodridge; Christopher Plishka; Gary Groot
Journal:  BMC Med       Date:  2016-02-23       Impact factor: 8.775

10.  Feasibility of extracting data from electronic medical records for research: an international comparative study.

Authors:  Michelle Helena van Velthoven; Nikolaos Mastellos; Azeem Majeed; John O'Donoghue; Josip Car
Journal:  BMC Med Inform Decis Mak       Date:  2016-07-13       Impact factor: 2.796

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  5 in total

1.  Event Surrogate from Clinical Pathway Completion to Daily Meal for Availability Extension Using Standard Electronic Medical Records: a Retrospective Cohort Study.

Authors:  Hiroki Furuhata; Kenji Araki; Taisuke Ogawa
Journal:  J Med Syst       Date:  2021-02-05       Impact factor: 4.460

2.  An in-hospital clinical care pathway with integrated decision support for cancer pain management reduced pain intensity and needs for hospital stay.

Authors:  Erik Torbjørn Løhre; Morten Thronæs; Cinzia Brunelli; Stein Kaasa; Pål Klepstad
Journal:  Support Care Cancer       Date:  2019-05-23       Impact factor: 3.603

3.  Causation between Pathway Completion and Reduced Hospital Stay in Patients with Lung Cancer: a Retrospective Cohort Study Using Propensity Score Matching.

Authors:  Hiroki Furuhata; Kenji Araki; Taisuke Ogawa
Journal:  J Med Syst       Date:  2020-04-21       Impact factor: 4.460

4.  Modified Needleman-Wunsch algorithm for clinical pathway clustering.

Authors:  Emma Aspland; Paul R Harper; Daniel Gartner; Philip Webb; Peter Barrett-Lee
Journal:  J Biomed Inform       Date:  2021-01-27       Impact factor: 6.317

5.  Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care.

Authors:  Fidelia Cascini; Federico Santaroni; Riccardo Lanzetti; Giovanna Failla; Andrea Gentili; Walter Ricciardi
Journal:  Front Public Health       Date:  2021-05-21
  5 in total

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