A Knowledge Map for Hospital Performance Concept: Extraction and Analysis: A Narrative Review Article

Background: Performance is a multi-dimensional and dynamic concept. During the past 2 decades, considerable studies were performed in developing the hospital performance concept. To know literature key concepts on hospital performance, the knowledge visualization based on co-word analysis and social network analysis has been used. Methods: Documents were identified through “PubMed” searching from 1945 to 2014 and 2350 papers entered the study after omitting unrelated articles, the duplicates, and articles without abstract. After pre-processing and preparing articles, the key words were extracted and terms were weighted by TF-IDF weighting schema. Support as an interestingness measure, which considers the co-occurrence of the extracted keywords and “hospital performance” phrase was calculated. Keywords having high support with “hospital performance” are selected. Term-term matrix of these selected keywords is calculated and the graph is extracted. Results: The most high frequency words after “Hospital Performance” were “mortality” and “efficiency”. The major knowledge structure of hospital performance literature during these years shows that the keyword “mortality” had the highest support with hospital performance followed by “quality of care”, “quality improvement”, “discharge”, “length of stay” and “clinical outcome”. The strongest relationship is seen between “electronic medical record” and “readmission rate”. Conclusion: Some dimensions of hospital performance are more important such as “efficiency”, “effectiveness”, “quality” and “safety” and some indicators are more highlighted such as “mortality”, “length of stay”, “readmission rate” and “patient satisfaction”. In the last decade, some concepts became more significant in hospital performance literature such as “mortality”, “quality of care” and “quality improvement”.

[1]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[2]  F. Song,et al.  Mapping the Knowledge Structure of Research on Patient Adherence: Knowledge Domain Visualization Based Co-Word Analysis and Social Network Analysis , 2012, PloS one.

[3]  F Champagne,et al.  A performance assessment framework for hospitals: the WHO regional office for Europe PATH project. , 2005, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[4]  Mark V. Williams,et al.  Interventions to Reduce 30-Day Rehospitalization: A Systematic Review , 2011, Annals of Internal Medicine.

[5]  Anne Frølich,et al.  An international review of projects on hospital performance assessment. , 2008, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[6]  Ed C. M. Noyons,et al.  Bibliometric mapping of science in a policy context , 2004, Scientometrics.

[7]  A Khan,et al.  Knowledge mapping as a technique to support knowledge translation. , 2006, Bulletin of the World Health Organization.

[8]  Hong-Gee Kim,et al.  Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings , 2010, Healthcare informatics research.

[9]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[10]  W. Borden,et al.  Hospital Performance, the Local Economy, and the Local Workforce: Findings from a US National Longitudinal Study , 2010, PLoS medicine.

[11]  Andrei Stefan Nestian,et al.  Relevance of Key Performance Indicators (KPIs) in a Hospital Performance Management Model , 2012 .

[12]  How can hospital performance be measured and monitored? , 2003 .

[13]  D. Spence,et al.  Lexical co-occurrence and association strength , 1990 .

[14]  Oliver Groene,et al.  The World Health Organization Performance Assessment Tool for Quality Improvement in Hospitals (PATH): an analysis of the pilot implementation in 37 hospitals. , 2008, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[15]  Qingqiang Wu,et al.  Co-word analysis of the trends in stem cells field based on subject heading weighting , 2011, Scientometrics.

[16]  علی جنتی,et al.  Selecting Hospital's Key Performance Indicators, Using Analytic Hierarchy Process Technique , 2013 .

[17]  Peter A Cameron,et al.  A review of hospital characteristics associated with improved performance. , 2012, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[18]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[19]  Onyebuchi A. Arah,et al.  Updating the key dimensions of hospital performance: the move towards a theoretical framework , 2003 .

[20]  D. Sherman Drug-use evaluation. , 1994, Contemporary longterm care.

[21]  A. Tamilarasi,et al.  An Automated Association Rule Mining Technique With Cumulative Support Thresholds , 2009 .

[22]  S. von Felten,et al.  Optimizing triage and hospitalization in adult general medical emergency patients: the triage project , 2013, BMC Emergency Medicine.

[23]  J. Goodwin,et al.  The effect of electronic medical record adoption on outcomes in US hospitals , 2013, BMC Health Services Research.

[24]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..

[25]  Simon Stewart,et al.  Home-Based Intervention in Congestive Heart Failure: Long-Term Implications on Readmission and Survival , 2002, Circulation.

[26]  Zaid Makani,et al.  Comparison of Interestingness Measures : Support-Confidence Framework versus Lift-Irule Framework , 2013 .

[27]  D. Nerenz Performance Measures for Health Care Systems , 2001 .

[28]  Jason Goh Quality of care. , 2010, Clinical medicine.

[29]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[30]  L. McMahon,et al.  The Risk-Adjusted Mortality Index: A New Measure of Hospital Performance , 1988, Medical care.

[31]  A. Jannati,et al.  SELECTING HOSPITAL'S KEY PERFORMANCE INDICATORS, USING ANALYTIC HIERARCHY PROCESS TECHNIQUE , 2013 .

[32]  Farzaneh Maghaminejad,et al.  The role of continuous care in reducing readmission for patients with heart failure. , 2013, Journal of caring sciences.

[33]  Richard Kaplan,et al.  An Electronic Medical Record-Based Model to Predict 30-Day Risk of Readmission and Death Among HIV-Infected Inpatients , 2012, Journal of acquired immune deficiency syndromes.

[34]  J. Mant Process versus outcome indicators in the assessment of quality of health care. , 2001, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[35]  Patrick Graham,et al.  Efficiency, effectiveness, equity (E3). Evaluating hospital performance in three dimensions. , 2013, Health policy.

[36]  Jean Pierre Courtial,et al.  Policy and the mapping of scientific change: A co-word analysis of research into environmental acidification , 1988, Scientometrics.

[37]  Chen Yue,et al.  The rise of mapping knowledge domain , 2005 .

[38]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[39]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..