Skip to main content
Top
Published in: BMC Health Services Research 1/2019

Open Access 01-12-2019 | Research article

Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study

Authors: Nabilah Rahman, Sheryl Hui-Xian Ng, Sravan Ramachandran, Debby D. Wang, Srinath Sridharan, Chuen Seng Tan, Astrid Khoo, Xin Quan Tan

Published in: BMC Health Services Research | Issue 1/2019

Login to get access

Abstract

Background

As healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academic Medical Centre.

Methods

Data corresponding to 285,767 patients and 207,426 inpatient visits was extracted from electronic medical records of the National University of Hospital in Singapore between 2005 to 2013. Generalized linear models and generalized estimating equations were employed to build patient and inpatient visit models respectively. The patient models provide insight on the factors affecting overall expenditure and LOS, whereas the inpatient visit models provide insight on how expenditure and LOS accumulate longitudinally.

Results

Although adjusted expenditure and LOS per inpatient visit were largely similar across socio-economic status (SES) groups, patients of lower SES groups accumulated greater expenditure and LOS over time due to more frequent visits. Admission to a ward class with greater government subsidies was associated with higher expenditure and LOS per inpatient visit. Inpatient death was also associated with higher expenditure per inpatient visit. Conditions that drove patient expenditure and LOS were largely similar, with mental illnesses affecting LOS to a larger extent. These observations on condition drivers largely held true at visit-level.

Conclusions

The findings highlight the importance of distinguishing the drivers of patient expenditure and inpatient utilization at the patient-level from those at the visit-level. This allows better understanding of the drivers of healthcare utilization and how utilization accumulates longitudinally, important for health policy and service planning.
Appendix
Available only for authorised users
Literature
1.
go back to reference Global Burden of Disease Health Financing Collaborator N. Future and potential spending on health 2015-40: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries. Lancet. 2017;389(10083):2005–30.CrossRef Global Burden of Disease Health Financing Collaborator N. Future and potential spending on health 2015-40: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries. Lancet. 2017;389(10083):2005–30.CrossRef
3.
go back to reference Tyrer P, Sharfstein S, O'Reilly R, Allison S, Bastiampillai T. Psychiatric hospital beds: an Orwellian crisis. Lancet. 2017;389(10067):363.PubMedCrossRef Tyrer P, Sharfstein S, O'Reilly R, Allison S, Bastiampillai T. Psychiatric hospital beds: an Orwellian crisis. Lancet. 2017;389(10067):363.PubMedCrossRef
4.
go back to reference Waness A, Akbar JU, Kharal M, BinSalih S, Harakati M. Global hospital bed utilization crisis a different approach. Saudi Med J. 2010;31(4):434–6.PubMed Waness A, Akbar JU, Kharal M, BinSalih S, Harakati M. Global hospital bed utilization crisis a different approach. Saudi Med J. 2010;31(4):434–6.PubMed
7.
go back to reference Chan LE. Healthcare experts concerned over lack of manpower in long-term care sector; 2016. Chan LE. Healthcare experts concerned over lack of manpower in long-term care sector; 2016.
8.
go back to reference Khalik S. Long waits at a&Es despite more beds; 2017. Khalik S. Long waits at a&Es despite more beds; 2017.
9.
go back to reference Basu R. Long-term care: if this is so important, why aren't we putting our money where our mouth is? 2017. Basu R. Long-term care: if this is so important, why aren't we putting our money where our mouth is? 2017.
10.
11.
go back to reference Ramchandani N. A smaller budget surplus of S$1.91b likely for FY17; 2017. Ramchandani N. A smaller budget surplus of S$1.91b likely for FY17; 2017.
12.
go back to reference Lee EM. Subsidies for acute healthcare services. Ministry of Health Singapore; 2004. Lee EM. Subsidies for acute healthcare services. Ministry of Health Singapore; 2004.
14.
go back to reference Khan HN, Razali RB, Shafie AB. Modeling determinants of health expenditures in Malaysia: evidence from time series analysis. Front Pharmacol. 2016;7:69.PubMedPubMedCentral Khan HN, Razali RB, Shafie AB. Modeling determinants of health expenditures in Malaysia: evidence from time series analysis. Front Pharmacol. 2016;7:69.PubMedPubMedCentral
16.
go back to reference Sagarik D. Determinants of health expenditures in ASEAN region: theory and evidence. Millennial Asia. 2016;7(1):1–19.CrossRef Sagarik D. Determinants of health expenditures in ASEAN region: theory and evidence. Millennial Asia. 2016;7(1):1–19.CrossRef
17.
go back to reference Rezaei S, Fallah R, Kazemi Karyani A, Daroudi R, Zandiyan H, Hajizadeh M. Determinants of healthcare expenditures in Iran: evidence from a time series analysis. Med J Islam Repub Iran. 2016;30:313.PubMedPubMedCentral Rezaei S, Fallah R, Kazemi Karyani A, Daroudi R, Zandiyan H, Hajizadeh M. Determinants of healthcare expenditures in Iran: evidence from a time series analysis. Med J Islam Repub Iran. 2016;30:313.PubMedPubMedCentral
18.
go back to reference Jacobs R, Gutacker N, Mason A, Goddard M, Gravelle H, Kendrick T, Gilbody S. Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis. BMC Health Serv Res. 2015;15:439.PubMedPubMedCentralCrossRef Jacobs R, Gutacker N, Mason A, Goddard M, Gravelle H, Kendrick T, Gilbody S. Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis. BMC Health Serv Res. 2015;15:439.PubMedPubMedCentralCrossRef
20.
go back to reference Ng CS, Toh MP, Ng J, Ko Y. Direct medical cost of stroke in Singapore. Int J Stroke. 2015;10(Suppl A100):75–82.PubMedCrossRef Ng CS, Toh MP, Ng J, Ko Y. Direct medical cost of stroke in Singapore. Int J Stroke. 2015;10(Suppl A100):75–82.PubMedCrossRef
21.
go back to reference Yang Y, Yang KS, Hsann YM, Lim V, Ong BC. The effect of comorbidity and age on hospital mortality and length of stay in patients with sepsis. J Crit Care. 2010;25(3):398–405.PubMedCrossRef Yang Y, Yang KS, Hsann YM, Lim V, Ong BC. The effect of comorbidity and age on hospital mortality and length of stay in patients with sepsis. J Crit Care. 2010;25(3):398–405.PubMedCrossRef
22.
go back to reference O'Sullivan K, Martensson J, Robbins R, Farley KJ, Johnson D, Jones D. Epidemiology of long-stay patients in a university teaching hospital. Intern Med J. 2017;47(5):513–21.PubMedCrossRef O'Sullivan K, Martensson J, Robbins R, Farley KJ, Johnson D, Jones D. Epidemiology of long-stay patients in a university teaching hospital. Intern Med J. 2017;47(5):513–21.PubMedCrossRef
23.
24.
go back to reference Habibov N. Hospitalization in Tajikistan: determinants of admission, length of stay, and out-of-pocket expenditures. Results of a national survey. Int J Health Plann Manag. 2010;25(3):251–69.CrossRef Habibov N. Hospitalization in Tajikistan: determinants of admission, length of stay, and out-of-pocket expenditures. Results of a national survey. Int J Health Plann Manag. 2010;25(3):251–69.CrossRef
25.
go back to reference Zhang Y, Lu S, Niu Y, Zhang L. Medical expenditure clustering and determinants of the annual medical expenditures of residents: a population-based retrospective study from rural China. BMJ Open. 2018;8(6):e022721.PubMedPubMedCentralCrossRef Zhang Y, Lu S, Niu Y, Zhang L. Medical expenditure clustering and determinants of the annual medical expenditures of residents: a population-based retrospective study from rural China. BMJ Open. 2018;8(6):e022721.PubMedPubMedCentralCrossRef
26.
go back to reference Seshamani M, Gray AM. A longitudinal study of the effects of age and time to death on hospital costs. J Health Econ. 2004;23(2):217–35.PubMedCrossRef Seshamani M, Gray AM. A longitudinal study of the effects of age and time to death on hospital costs. J Health Econ. 2004;23(2):217–35.PubMedCrossRef
29.
go back to reference Rahman N, Wang DD, Ng SH-X, Ramachandran S, Sridharan S, Khoo A, Tan CS, Goh W-P, Tan XQ. Processing of electronic medical Records for Health Services Research in an Academic Medical Center: methods and validation. JMIR Med Inform. 2018;6(4):e10933.PubMedPubMedCentralCrossRef Rahman N, Wang DD, Ng SH-X, Ramachandran S, Sridharan S, Khoo A, Tan CS, Goh W-P, Tan XQ. Processing of electronic medical Records for Health Services Research in an Academic Medical Center: methods and validation. JMIR Med Inform. 2018;6(4):e10933.PubMedPubMedCentralCrossRef
31.
go back to reference Drosler SE, Romano PS, Tancredi DJ, Klazinga NS. International comparability of patient safety indicators in 15 OECD member countries: a methodological approach of adjustment by secondary diagnoses. Health Serv Res. 2012;47(1 Pt 1):275–92.PubMedCrossRef Drosler SE, Romano PS, Tancredi DJ, Klazinga NS. International comparability of patient safety indicators in 15 OECD member countries: a methodological approach of adjustment by secondary diagnoses. Health Serv Res. 2012;47(1 Pt 1):275–92.PubMedCrossRef
34.
go back to reference Phang SK, Helble M. Housing policies in Singapore. Asian Development Bank Institute; 2016. Phang SK, Helble M. Housing policies in Singapore. Asian Development Bank Institute; 2016.
35.
go back to reference Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–9.PubMedCrossRef Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–9.PubMedCrossRef
38.
go back to reference Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20(4):461–94.PubMedCrossRef Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20(4):461–94.PubMedCrossRef
39.
go back to reference Fox J, Monette G. Generalized collinearity diagnostics. J Am Stat Assoc. 1992;87(417):178–83.CrossRef Fox J, Monette G. Generalized collinearity diagnostics. J Am Stat Assoc. 1992;87(417):178–83.CrossRef
40.
go back to reference Hair JF Jr, Black WC, Babin BJ, Andersen RE. Multivariate data analysis: a global perspective, 7 edn: Pearson education; 2010. Hair JF Jr, Black WC, Babin BJ, Andersen RE. Multivariate data analysis: a global perspective, 7 edn: Pearson education; 2010.
41.
go back to reference Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44(4):1049–60.PubMedCrossRef Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44(4):1049–60.PubMedCrossRef
42.
go back to reference Hubbard AE, Ahern J, Fleischer NL, Van der Laan M, Lippman SA, Jewell N, Bruckner T, Satariano WA. To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology. 2010;21(4):467–74.PubMedCrossRef Hubbard AE, Ahern J, Fleischer NL, Van der Laan M, Lippman SA, Jewell N, Bruckner T, Satariano WA. To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology. 2010;21(4):467–74.PubMedCrossRef
43.
go back to reference LIANG K-Y. ZEGER SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13–22.CrossRef LIANG K-Y. ZEGER SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13–22.CrossRef
44.
go back to reference RStudio Team. RStudio: integrated development environment for R. 3.2.0 edn: RStudio, Inc; 2015. RStudio Team. RStudio: integrated development environment for R. 3.2.0 edn: RStudio, Inc; 2015.
45.
go back to reference Højsgaard S, Halekoh U, Yan J. The R package geepack for generalized estimating equations. J Stat Softw. 2006;1(2):2005. Højsgaard S, Halekoh U, Yan J. The R package geepack for generalized estimating equations. J Stat Softw. 2006;1(2):2005.
46.
go back to reference Zaman MJ, Stirling S, Shepstone L, Ryding A, Flather M, Bachmann M, Myint PK. The association between older age and receipt of care and outcomes in patients with acute coronary syndromes: a cohort study of the myocardial Ischaemia National Audit Project (MINAP). Eur Heart J. 2014;35(23):1551–8.PubMedCrossRef Zaman MJ, Stirling S, Shepstone L, Ryding A, Flather M, Bachmann M, Myint PK. The association between older age and receipt of care and outcomes in patients with acute coronary syndromes: a cohort study of the myocardial Ischaemia National Audit Project (MINAP). Eur Heart J. 2014;35(23):1551–8.PubMedCrossRef
47.
go back to reference Reindl-Schwaighofer R, Kainz A, Kammer M, Dumfarth A, Oberbauer R. Survival analysis of conservative vs. dialysis treatment of elderly patients with CKD stage 5. PLoS One. 2017;12(7):e0181345.PubMedPubMedCentralCrossRef Reindl-Schwaighofer R, Kainz A, Kammer M, Dumfarth A, Oberbauer R. Survival analysis of conservative vs. dialysis treatment of elderly patients with CKD stage 5. PLoS One. 2017;12(7):e0181345.PubMedPubMedCentralCrossRef
48.
go back to reference Teruel JL, Burguera Vion V, Gomis Couto A, Rivera Gorrin M, Fernandez-Lucas M, Rodriguez Mendiola N, Quereda C. Choosing conservative therapy in chronic kidney disease. Nefrologia. 2015;35(3):273–9.PubMedCrossRef Teruel JL, Burguera Vion V, Gomis Couto A, Rivera Gorrin M, Fernandez-Lucas M, Rodriguez Mendiola N, Quereda C. Choosing conservative therapy in chronic kidney disease. Nefrologia. 2015;35(3):273–9.PubMedCrossRef
49.
go back to reference Buiatti E, Barchielli A, Marchionni N, Balzi D, Carrabba N, Valente S, Olivotto I, Landini C, Filice M, Torri M, et al. Determinants of treatment strategies and survival in acute myocardial infarction: a population-based study in the Florence district, Italy: results of the acute myocardial infarction Florence registry (AMI-Florence). Eur Heart J. 2003;24(13):1195–203.PubMedCrossRef Buiatti E, Barchielli A, Marchionni N, Balzi D, Carrabba N, Valente S, Olivotto I, Landini C, Filice M, Torri M, et al. Determinants of treatment strategies and survival in acute myocardial infarction: a population-based study in the Florence district, Italy: results of the acute myocardial infarction Florence registry (AMI-Florence). Eur Heart J. 2003;24(13):1195–203.PubMedCrossRef
50.
go back to reference Toh HJ, Lim ZY, Yap P, Tang T. Factors associated with prolonged length of stay in older patients. Singap Med J. 2017;58(3):134–8.CrossRef Toh HJ, Lim ZY, Yap P, Tang T. Factors associated with prolonged length of stay in older patients. Singap Med J. 2017;58(3):134–8.CrossRef
51.
go back to reference Philp I, Mills KA, Thanvi B, Ghosh K, Long JF. Reducing hospital bed use by frail older people: results from a systematic review of the literature. Int J Integr Care. 2013;13:e048.PubMedPubMedCentralCrossRef Philp I, Mills KA, Thanvi B, Ghosh K, Long JF. Reducing hospital bed use by frail older people: results from a systematic review of the literature. Int J Integr Care. 2013;13:e048.PubMedPubMedCentralCrossRef
52.
go back to reference Buttigieg SC, Abela L, Pace A. Variables affecting hospital length of stay: a scoping review. J Health Organ Manag. 2018;32(3):463–93.PubMedCrossRef Buttigieg SC, Abela L, Pace A. Variables affecting hospital length of stay: a scoping review. J Health Organ Manag. 2018;32(3):463–93.PubMedCrossRef
53.
go back to reference Low LL, Wah W, Ng MJ, Tan SY, Liu N, Lee KH. Housing as a social determinant of health in Singapore and its association with readmission risk and increased utilization of hospital services. Front Public Health. 2016;4:109.PubMedPubMedCentralCrossRef Low LL, Wah W, Ng MJ, Tan SY, Liu N, Lee KH. Housing as a social determinant of health in Singapore and its association with readmission risk and increased utilization of hospital services. Front Public Health. 2016;4:109.PubMedPubMedCentralCrossRef
54.
go back to reference Low LL, Tay WY, Ng MJM, Tan SY, Liu N, Lee KH. Frequent hospital admissions in Singapore: clinical risk factors and impact of socioeconomic status. Singap Med J. 2018;59(1):39–43.CrossRef Low LL, Tay WY, Ng MJM, Tan SY, Liu N, Lee KH. Frequent hospital admissions in Singapore: clinical risk factors and impact of socioeconomic status. Singap Med J. 2018;59(1):39–43.CrossRef
55.
go back to reference Szekendi MK, Williams MV, Carrier D, Hensley L, Thomas S, Cerese J. The characteristics of patients frequently admitted to academic medical centers in the United States. J Hosp Med. 2015;10(9):563–8.PubMedCrossRef Szekendi MK, Williams MV, Carrier D, Hensley L, Thomas S, Cerese J. The characteristics of patients frequently admitted to academic medical centers in the United States. J Hosp Med. 2015;10(9):563–8.PubMedCrossRef
56.
go back to reference Pedersen MK, Meyer G, Uhrenfeldt L. Risk factors for acute care hospital readmission in older persons in Western countries: a systematic review. JBI Database System Rev Implement Rep. 2017;15(2):454–85.PubMed Pedersen MK, Meyer G, Uhrenfeldt L. Risk factors for acute care hospital readmission in older persons in Western countries: a systematic review. JBI Database System Rev Implement Rep. 2017;15(2):454–85.PubMed
57.
go back to reference Jansen T, Rademakers J, Waverijn G, Verheij R, Osborne R, Heijmans M. The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study. BMC Health Serv Res. 2018;18(1):394.PubMedPubMedCentralCrossRef Jansen T, Rademakers J, Waverijn G, Verheij R, Osborne R, Heijmans M. The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study. BMC Health Serv Res. 2018;18(1):394.PubMedPubMedCentralCrossRef
58.
go back to reference Chan CQH, Lee KH, Low LL. A systematic review of health status, health seeking behaviour and healthcare utilisation of low socioeconomic status populations in urban Singapore. Int J Equity Health. 2018;17(1):39.PubMedPubMedCentralCrossRef Chan CQH, Lee KH, Low LL. A systematic review of health status, health seeking behaviour and healthcare utilisation of low socioeconomic status populations in urban Singapore. Int J Equity Health. 2018;17(1):39.PubMedPubMedCentralCrossRef
59.
go back to reference Braveman P. Health disparities and health equity: concepts and measurement. Annu Rev Public Health. 2006;27:167–94.PubMedCrossRef Braveman P. Health disparities and health equity: concepts and measurement. Annu Rev Public Health. 2006;27:167–94.PubMedCrossRef
61.
go back to reference Leonard T, Hughes AE, Pruitt SL. Understanding how low-socioeconomic status households cope with health shocks: an analysis of multi-sector linked data. Ann Am Acad Pol Soc Sci. 2017;669(1):125–45.PubMedCrossRef Leonard T, Hughes AE, Pruitt SL. Understanding how low-socioeconomic status households cope with health shocks: an analysis of multi-sector linked data. Ann Am Acad Pol Soc Sci. 2017;669(1):125–45.PubMedCrossRef
62.
go back to reference Lee M. Plan to cut hospital admissions; 2014. Lee M. Plan to cut hospital admissions; 2014.
63.
go back to reference Calvillo-King L, Arnold D, Eubank KJ, Lo M, Yunyongying P, Stieglitz H, Halm EA. Impact of social factors on risk of readmission or mortality in pneumonia and heart failure: systematic review. J Gen Intern Med. 2013;28(2):269–82.PubMedCrossRef Calvillo-King L, Arnold D, Eubank KJ, Lo M, Yunyongying P, Stieglitz H, Halm EA. Impact of social factors on risk of readmission or mortality in pneumonia and heart failure: systematic review. J Gen Intern Med. 2013;28(2):269–82.PubMedCrossRef
64.
go back to reference Kangovi S, Barg FK, Carter T, Levy K, Sellman J, Long JA, Grande D. Challenges faced by patients with low socioeconomic status during the post-hospital transition. J Gen Intern Med. 2014;29(2):283–9.PubMedCrossRef Kangovi S, Barg FK, Carter T, Levy K, Sellman J, Long JA, Grande D. Challenges faced by patients with low socioeconomic status during the post-hospital transition. J Gen Intern Med. 2014;29(2):283–9.PubMedCrossRef
65.
go back to reference Wong EL, Yam CH, Cheung AW, Leung MC, Chan FW, Wong FY, Yeoh EK. Barriers to effective discharge planning: a qualitative study investigating the perspectives of frontline healthcare professionals. BMC Health Serv Res. 2011;11(1):242.PubMedPubMedCentralCrossRef Wong EL, Yam CH, Cheung AW, Leung MC, Chan FW, Wong FY, Yeoh EK. Barriers to effective discharge planning: a qualitative study investigating the perspectives of frontline healthcare professionals. BMC Health Serv Res. 2011;11(1):242.PubMedPubMedCentralCrossRef
66.
go back to reference Carter J, Ward C, Thorndike A, Donelan K, Wexler DJ. Social factors and patient perceptions associated with preventable hospital readmissions. Journal of Patient Experience. 2019:2374373518825143. Carter J, Ward C, Thorndike A, Donelan K, Wexler DJ. Social factors and patient perceptions associated with preventable hospital readmissions. Journal of Patient Experience. 2019:2374373518825143.
68.
go back to reference Hassan AA, Mohsen H, Allam AA, Haddad P. Trends in the aggressiveness of end-of-life Cancer Care in the State of Qatar. J Glob Oncol. 2016;2(2):68–75.PubMedPubMedCentralCrossRef Hassan AA, Mohsen H, Allam AA, Haddad P. Trends in the aggressiveness of end-of-life Cancer Care in the State of Qatar. J Glob Oncol. 2016;2(2):68–75.PubMedPubMedCentralCrossRef
69.
go back to reference Morishima T, Lee J, Otsubo T, Imanaka Y. Association of healthcare expenditures with aggressive versus palliative care for cancer patients at the end of life: a cross-sectional study using claims data in Japan. Int J Qual Health Care. 2014;26(1):79–86.PubMedCrossRef Morishima T, Lee J, Otsubo T, Imanaka Y. Association of healthcare expenditures with aggressive versus palliative care for cancer patients at the end of life: a cross-sectional study using claims data in Japan. Int J Qual Health Care. 2014;26(1):79–86.PubMedCrossRef
70.
71.
go back to reference Xu Y, Li N, Lu M, Dixon E, Myers RP, Jelley RJ, Quan H. The effects of patient cost sharing on inpatient utilization, cost, and outcome. PLoS One. 2017;12(10):e0187096.PubMedPubMedCentralCrossRef Xu Y, Li N, Lu M, Dixon E, Myers RP, Jelley RJ, Quan H. The effects of patient cost sharing on inpatient utilization, cost, and outcome. PLoS One. 2017;12(10):e0187096.PubMedPubMedCentralCrossRef
72.
go back to reference Baicker K, Goldman D. Patient cost-sharing and healthcare spending growth. J Econ Perspect. 2011;25(2):47–68.PubMedCrossRef Baicker K, Goldman D. Patient cost-sharing and healthcare spending growth. J Econ Perspect. 2011;25(2):47–68.PubMedCrossRef
73.
go back to reference Birken M, Harper S. Experiences of people with a personality disorder or mood disorder regarding carrying out daily activities following discharge from hospital. Brit J Occup Ther. 2017;80(7):409–16.CrossRef Birken M, Harper S. Experiences of people with a personality disorder or mood disorder regarding carrying out daily activities following discharge from hospital. Brit J Occup Ther. 2017;80(7):409–16.CrossRef
74.
go back to reference Devoe JE, Gold R, McIntire P, Puro J, Chauvie S, Gallia CA. Electronic health records vs Medicaid claims: completeness of diabetes preventive care data in community health centers. Ann Fam Med. 2011;9(4):351–8.PubMedPubMedCentralCrossRef Devoe JE, Gold R, McIntire P, Puro J, Chauvie S, Gallia CA. Electronic health records vs Medicaid claims: completeness of diabetes preventive care data in community health centers. Ann Fam Med. 2011;9(4):351–8.PubMedPubMedCentralCrossRef
75.
go back to reference Henry AJ, Hevelone ND, Lipsitz S, Nguyen LL. Comparative methods for handling missing data in large databases. J Vasc Surg. 2013;58(5):1353–1359 e1356.PubMedCrossRef Henry AJ, Hevelone ND, Lipsitz S, Nguyen LL. Comparative methods for handling missing data in large databases. J Vasc Surg. 2013;58(5):1353–1359 e1356.PubMedCrossRef
76.
go back to reference Saxena N, You AX, Zhu Z, Sun Y, George PP, Teow KL, Chong PN, Sim J, Wong JE, Ong B, et al. Singapore's regional health systems-a data-driven perspective on frequent admitters and cross utilization of healthcare services in three systems. Int J Health Plann Manag. 2017;32(1):36–49.CrossRef Saxena N, You AX, Zhu Z, Sun Y, George PP, Teow KL, Chong PN, Sim J, Wong JE, Ong B, et al. Singapore's regional health systems-a data-driven perspective on frequent admitters and cross utilization of healthcare services in three systems. Int J Health Plann Manag. 2017;32(1):36–49.CrossRef
Metadata
Title
Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
Authors
Nabilah Rahman
Sheryl Hui-Xian Ng
Sravan Ramachandran
Debby D. Wang
Srinath Sridharan
Chuen Seng Tan
Astrid Khoo
Xin Quan Tan
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2019
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-019-4248-1

Other articles of this Issue 1/2019

BMC Health Services Research 1/2019 Go to the issue