Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models

Herwartz, Helmut; Klein, Nadja; Strumann, Christoph

doi:10.1002/jae.2454

Cited by 2 publications

(1 citation statement)

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“…Hospital length of stay in the case of respiratory diseases can be caused by various factors such as clinical factors, comorbidity factors, and demographic factors [9][10][11]. Three forms of data can be used in LOS models according to Herwartz et al [12]: i) data available after admission for example therapy, comorbidity, physical and mental problems, death status and insurance status ii) data collected when admitted to hospital such as age, sex, marital status, smoking habits, alcohol assumptions or health status during admission and iii) data from existing diseases, socioeconomic variables needed to identify the recurrence diseases. All these data are useful to maximize short-term resource utilization and prevent the recurrence of hospital admission in the long term.…”

Section: Introductionmentioning

confidence: 99%

Generalized Linear Model to Estimate Length of Stay in The Hospital due to Respiratory Diseases

Zulkifli¹,

Samsudin²,

Majid³

2023

ujph

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Several studies reported various factors associated with length of stay in the hospital due to respiratory diseases. This study aims to select the best Generalized Linear Models (GLM) for predicting LOS and identify the effects of clinical and demographic factors on LOS. The study was carried out using data on registered admission and discharge at the government hospitals for central region states in Malaysia. A total of 526,511 cases were classified under diseases of respiratory systems coded J00 to J99 and factors such as gender, age group, ethnicity, marital status, discharge condition and diagnoses of the patients were used in this study. Two regression models were used to predict LOS: GLM Zero Truncated Poisson regression (ZTP) and GLM Zero Truncated Negative Binomial (ZTNB). The best count fit model was chosen according to Akaike's Information Criteria (AIC) and Bayesian Information Criterion (BIC). The median length of stay in the study was four days (Interquartile Range: three to six days). According to statistical comparisons, the best model for count data is GLM Zero Truncated Negative Binomial. The outcome of the model found that there were significant changes in log LOS for each predictor except for unknown marital status and patients diagnosed with other diseases of the respiratory system that were insignificant in ZTP but significant in ZTNB. ZTNB model helps to identify factors contributing to the log length of stay so that hospitals are well equipped with the facilities and prepared for the expenditures and resources.

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Section: Introductionmentioning

confidence: 99%

Generalized Linear Model to Estimate Length of Stay in The Hospital due to Respiratory Diseases

Zulkifli¹,

Samsudin²,

Majid³

2023

ujph

View full text Add to dashboard Cite

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Procedures performed by general practitioners and general internal medicine physicians - a comparison based on routine data from Northern Germany

et al. 2018

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BackgroundIn response to a rising shortage of general practitioners (GPs), physicians in general internal medicine (GIM) have become part of the German primary care physician workforce. Previous studies have shown substantial differences in practice patterns between both specialties. The aim of this study was to analyse and compare the application of procedures by German GPs and GIM physicians based on routine data.MethodsThe Association of Statutory Health Insurance Physicians in the federal state Schleswig-Holstein (Northern Germany) provided invoicing data of the first quarters of 2013 and 2015. Differences between GPs and GIM physicians in the implementation rate of 46 selected primary care procedures were examined by means of the Pearson χ2-test. The selection of procedures was based on international and own preliminary studies on primary care procedures.ResultsIn the first quarter of 2013/2015 respectively, 1228/1227 GPs and 447/484 GIM physicians provided services in Schleswig-Holstein. Significant differences were found for 20 of the 46 procedures. GPs had higher application rates of procedures concerning health screening (e.g. adolescent health examination, well-child visits) and minor surgery. GIM physicians more often applied technology-oriented procedures, such as ultrasound scans, electrocardiograms (ECG), and 24-h ambulatory blood pressure measurements. The treatment patterns of both specialities did not vary much during the study period. Cardiac stress testing was the only significantly increased GP procedure in that time.ConclusionsOur results suggest substantial differences in the application of procedures between GPs and GIM physicians with potential consequences for the overall primary healthcare provision. The findings could foster a discussion about training needs for procedures in primary care to ensure its comprehensiveness. The results reflect scope for changes in vocational training in the future for an effective and efficient re-allocation of primary healthcare.

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Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models

Cited by 2 publications

References 63 publications

Generalized Linear Model to Estimate Length of Stay in The Hospital due to Respiratory Diseases

Generalized Linear Model to Estimate Length of Stay in The Hospital due to Respiratory Diseases

Procedures performed by general practitioners and general internal medicine physicians - a comparison based on routine data from Northern Germany

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