Using the hidden Markov model to capture quality of care in Lombardy geriatric wards. (December 2015)

• Record Type: Journal Article
• Authors: Mitchell, Hannah; Marshall, Adele H.; Zenga, Mariangela
• Is Part Of: Operations research for health care. Volume 7(2015:Dec.)
• Page Start: 103
• Page End: 110
• Publication Date: 2015-12
• Subjects: Coxian phase-type distribution -- Hidden Markov model -- Quality of care -- Covariates; Medical care -- Mathematical models -- Periodicals; Medical policy -- Mathematical models -- Periodicals; Health services administration -- Mathematical models -- Periodicals; Operations research -- Periodicals; Operations Research -- Periodicals; Health Services Research -- Periodicals; Health Policy -- Periodicals; Delivery of Health Care -- Periodicals; 362.106805
• DOI: 10.1016/j.orhc.2015.06.003
• Languages: English
• ISSNs: 2211-6923

Abstract

Abstract: Quality of care is an important aspect of healthcare monitoring, which is used to ensure that the healthcare system is delivering care of the highest standard. With populations growing older there is an increased urgency in making sure that the healthcare delivered is of the highest standard. Healthcare providers are under increased pressure to ensure that this is the case with public and government demand expecting a healthcare system of the highest quality. Modelling quality of care is difficult to measure due to the many ways of defining it. This paper introduces a potential model which could be used to take quality of care into account when modelling length of stay. The Coxian phase-type distribution is used to model length of stay and the associated quality of care incorporated into the Coxian using a Hidden Markov model. Covariates are also introduced to determine their impact on the hidden level to find out what potentially can affect quality of care. This model is applied to geriatric patient data from the Lombardy region of Italy. The results obtained highlighted that bed numbers and the type of hospital (public or private) can have an effect on the quality of care delivered.