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Do consultants differ? Inferences drawn from hospital in-patient enquiry (HIPE) discharge coding at an Irish teaching
E D Moloney1, D Smith, K Bennett
1Division of Internal Medicine St James' Hospital, Dublin, Ireland.
Insights
Hospital consultant specialization impacts patient length of stay, readmission rates, and resource use. General internal medicine consultants had shorter stays, while re-admissions under the same doctor increased length of stay.
Area of Science:
- Healthcare Management
- Clinical Outcomes Research
- Health Informatics
Background:
- Variations in clinical practice among hospital consultants can influence patient outcomes and resource utilization.
- Understanding these variations is crucial for optimizing hospital efficiency and patient care.
Purpose of the Study:
- To investigate differences in length of stay (LOS), re-admission rates, resource utilization, and diagnostic coding among hospital consultants trained in acute general medicine.
- To analyze patient data for emergency medical admissions at St James' Hospital (SJH), Dublin.
Main Methods:
- Retrospective analysis of 9204 hospital discharge episodes from the hospital in-patient enquiry (HIPE) system (2002-2003).
- Categorization of consultants into four groups: gastroenterology (GI), respiratory, general internal medicine (GIM), and specialty.
- Comparative analysis of LOS, re-admission patterns, investigation use, and diagnostic coding across consultant groups.
Main Results:
- General internal medicine (GIM) consultants achieved the shortest LOS (median 5 days); GIM and respiratory consultants had fewer long-stay patients (>30 days).
- Patients re-admitted under the same consultant experienced longer LOS compared to those seen by different consultants (p<0.0001).
- Distinct patterns of diagnostic coding and investigation utilization were observed across specialties, with GI consultants more frequent in GI coding, respiratory in respiratory diagnoses, specialty in diabetes/hypertension, and GIM in heart failure.
Conclusions:
- The hospital in-patient enquiry (HIPE) database effectively identified significant variations among consultants in LOS, re-admission rates, resource use, and disease coding.
- Further research into the impact of protocols and guidelines on reducing these consultant-driven variations is warranted.
Objective:
To find out if there was a difference between hospital consultants, all trained in acute general medicine, in length of stay (LOS), re-admission rates, resource utilisation, and diagnostic coding, among patients admitted as emergencies to St James' Hospital (SJH) Dublin.
Methods:
A retrospective analysis was performed of data on discharges from hospital, recorded in the hospital in-patient enquiry (HIPE) system, relating to 9204 episodes among 6968 emergency medical patients admitted to SJH between 1 January 2002 and 31 October 2003. For comparative analysis, four physician groups were defined consisting of gastroenterology (GI, n = 4), respiratory (n = 3), general internal medicine (GIM, n = 2), or specialty (n = 5).
Results:
GIM consultants had the shortest LOS (median 5 days); GIM and respiratory consultants were less likely to have long stay patients (> 30 days, p<0.0001). Patients re-admitted under the same consultant had a longer LOS than those re-admitted under a different consultant (p<0.0001). Endoscopy and GI radiology investigations were used most by GI consultants, computed tomography of the thorax by respiratory, ECHO by respiratory and specialty, and computed tomography of brain by GIM and specialty consultants. GI diagnostic codings were more frequent with GI consultants (p<0.0001), respiratory diagnoses and malignancy with respiratory (p<0.0001 for both), diabetes and hypertension with specialty (p = 0.0017), and heart failure more with GIM consultants (p = 0.001).
Conclusions:
This study found that the HIPE database was very powerful in predicting differences between hospital consultants in LOS, re-admission rates, resource utilisation, and disease coding. It would be of interest to examine the extent to which protocols and guidelines could reduce such variations.
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