scholarly journals Data Collection Methods in Health Services Research

2015 ◽  
Vol 06 (01) ◽  
pp. 96-109 ◽  
Author(s):  
K.-A. Bowles ◽  
E.H. Skinner ◽  
D. Mitchell ◽  
R. Haas ◽  
M. Ho ◽  
...  

Summary Background: Hospital length of stay and discharge destination are important outcome measures in evaluating effectiveness and efficiency of health services. Although hospital administrative data are readily used as a data collection source in health services research, no research has assessed this data collection method against other commonly used methods. Objective: Determine if administrative data from electronic patient management programs are an effective data collection method for key hospital outcome measures when compared with alternative hospital data collection methods. Method: Prospective observational study comparing the completeness of data capture and level of agreement between three data collection methods; manual data collection from ward-based sources, administrative data from an electronic patient management program (i.PM), and inpatient medical record review (gold standard) for hospital length of stay and discharge destination. Results: Manual data collection from ward-based sources captured only 376 (69%) of the 542 in-patient episodes captured from the hospital administrative electronic patient management program. Administrative data from the electronic patient management program had the highest levels of agreement with inpatient medical record review for both length of stay (93.4%) and discharge destination (91%) data. Conclusion: This is the first paper to demonstrate differences between data collection methods for hospital length of stay and discharge destination. Administrative data from an electronic patient management program showed the highest level of completeness of capture and level of agreement with the gold standard of inpatient medical record review for both length of stay and discharge destination, and therefore may be an acceptable data collection method for these measures. Citation: Sarkies MN, Bowles K-A, Skinner EH, Mitchell D, Haas R, Ho M, Salter K, May K, Markham D, O’Brien L, Plumb S, Haines T.P. Data collection methods in health services research – hospital length of stay and discharge destination. Appl Clin Inf 2015; 6: 96–109http://dx.doi.org/10.4338/ACI-2014-10-RA-0097

Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ximena Cid ◽  
David Canty ◽  
Alistair Royse ◽  
Andrea B. Maier ◽  
Douglas Johnson ◽  
...  

Abstract Background Point-of-care ultrasound (POCUS) is emerging as a reliable and valid clinical tool that impacts diagnosis and clinical decision-making as well as timely intervention for optimal patient management. This makes its utility in patients admitted to internal medicine wards attractive. However, there is still an evidence gap in all the medical setting of how its use affects clinical variables such as length of stay, morbidity, and mortality. Methods/design A prospective randomized controlled trial assessing the effect of a surface POCUS of the heart, lungs, and femoral and popliteal veins performed by an internal medicine physician during the first 24 h of patient admission to the unit with a presumptive cardiopulmonary diagnosis. The University of Melbourne iHeartScan, iLungScan, and two-point venous compression protocols are followed to identify left and right ventricular function, significant valvular heart disease, pericardial and pleural effusion, consolidation, pulmonary edema, pneumothorax, and proximal deep venous thrombosis. Patient management is not commanded by the protocol and is at the discretion of the treating team. A total of 250 patients will be recruited at one tertiary hospital. Participants are randomized to receive POCUS or no POCUS. The primary outcome measured will be hospital length of stay. Secondary outcomes include the change in diagnosis and management, 30-day hospital readmission, and healthcare costs. Discussion This study will evaluate the clinical impact of multi-organ POCUS in internal medicine patients admitted with cardiopulmonary diagnosis on the hospital length of stay. Recruitment of participants commenced in September 2018 and is estimated to be completed by March 2020. Trial registration Australian and New Zealand Clinical Trial Registry, ACTRN12618001442291. Registered on 28 August 2018.


2019 ◽  
Author(s):  
Ximena Anaite Cid ◽  
David Canty ◽  
Alistair Royse ◽  
Andrea Maier ◽  
Douglas Johnson ◽  
...  

Abstract Background Point-of-care ultrasound (POCUS) is emerging as a reliable and valid clinical tool that impacts diagnosis and clinical decision making, and timely intervention for optimal patient management. This makes its utility in patients admitted to internal medicine wards attractive. However, there is still an evidence gap in all the medical setting of how its use affects clinical variables such as length of stay, morbidity and mortality. Methods/design A prospective randomized controlled trial assessing the effect of a surface POCUS of the heart, lungs, and femoral and popliteal veins performed by an internal medicine physician during the first 24 hours of patient admission to the unit with a presumptive cardiopulmonary diagnosis. The University of Melbourne iHeartScan, iLungScan and 2-point venous compression protocols are followed to identify left and right ventricular function, significant valvular heart disease, pericardial and pleural effusion, consolidation, pulmonary edema, pneumothorax and proximal deep venous thrombosis. Patient management is not commanded by the protocol and is at the discretion of the treating team. A total of 250 patients will be recruited at one tertiary hospital. Participants are randomized to receive POCUS or no POCUS. The primary outcome measured will be hospital length of stay. Secondary outcomes include the change in diagnosis and management, 30-day hospital readmission and health care costs. Discussion This study will evaluate the clinical impact of multi-organ POCUS in internal medicine patients admitted with cardiopulmonary diagnosis on the hospital length of stay. Recruitment of participants has commenced in September of 2018 and is estimated to be completed by March 2020.


2017 ◽  
Vol 41 (S1) ◽  
pp. s496-s497
Author(s):  
G. McCarthy ◽  
D. Meagher ◽  
D. Adamis

IntroductionPrevious studies showed different classification systems lead to different case identification and rates of delirium. No one has previously investigated the influence of different classification systems on the outcomes of delirium.Aims and objectivesTo determine the influence of DSM-5 criteria vs. DSM-IV on delirium outcomes (mortality, length of stay, institutionalisation) including DSM-III and DSM-IIR criteria, using CAM and DRS-R98 as proxies.MethodologyProspective, longitudinal, observational study of elderly patients 70+ admitted to acute medical wards in Sligo University Hospital. Participants were assessed within 3 days of admission using DSM-5, and DSM-IV criteria, DRS-R98, and CAM scales.ResultsTwo hundred patients [mean age 81.1 ± 6.5; 50% female]. Rates (prevalence and incidence) of delirium for each diagnostic method were: 20.5% (n = 41) for DSM-5; 22.5% (n = 45) for DSM-IV; 18.5% (n = 37) for DRS-R98 and 22.5%, (n = 45) for CAM. The odds ratio (OR) for mortality (each diagnostic method respectively) were: 3.37, 3.11, 2.42, 2.96. Breslow-Day test on homogeneity of OR was not significant x2= 0.43, df: 3, P = 0.93. Those identified with delirium using the DSM-IV, DRS-R98 and CAM had significantly longer hospital length of stay(los) compared to those without delirium but not with those identified by DSM-5 criteria. Re-institutionalisation, those identified with delirium using DSM-5, DSM-IV and CAM did not have significant differences in discharge destination compared to those without delirium, those identified with delirium using DRS-R98 were more likely discharged to an institution (z = 2.12, P = 0.03)ConclusionAssuming a direct association between delirium and examined outcomes (mortality, los and discharge destination) different classification systems for delirium identify populations with different outcomes.Disclosure of interestThe authors have not supplied their declaration of competing interest.


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