Reduction of hospital bed cost for inpatient overstay through optimisation of patient flow
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Abstract
Background Overstay of inpatients is a big challenge to healthcare systems which interferes with the proper utilisation of the available resources and efficient delivery of care. Unnecessary days in the hospital may lead to patient complications including healthcare-associated infections, falls and delirium, which can negatively impact both patient and staff experience. This project aimed to reduce the cost of bed days of inpatient overstay through facilitating the discharge process using a multidisciplinary intervention approach.
Methods The root causes of inpatient overstay were defined via a multidisciplinary approach. This project applied the extension Deming Cycle method: Find-Organise-Clarify-Understand-Study-Plan-Do-Check-Act (PDCA). Solutions to the root causes which led to process variation were implemented through three PDCA cycles conducted between January 2019 and July 2020.
Results There was a significant reduction in the total number of overstay inpatients, the total number of overstay days, and the related bed costs in the first 3 quarters of 2019. A significant and sustained improvement in the emergency department average boarding time was attained in the first half of 2019 (reduced from 11.9 hours to 1.7 hours). A total estimated cost saving of SR30 000 000 (US$8 000 000) in terms of operational efficiency was achieved.
Conclusion Early discharge planning and facilitating the patient discharge process significantly improves the average length of inpatient stay and patient outcomes and decreases hospital costs.
What is already known on this topic
Inpatient overstay burdens healthcare systems in terms of resource limitation and unnecessary costs.
What this study adds
After defining the root causes of inpatient overstay at Al Hada Armed Forces Hospital (Taif, Saudi Arabia), an intervention plan was introduced involving a multidisciplinary team as well as patients, and led by case management, a novel department at Al Hada Armed Forces Hospital, applying the extension Deming Cycle method: Find-Organise-Clarify-Understand-Plan-Do-Check-Act. The intervention succeeded in reducing the average length of stay, the number of overstay days, and, thereby, the costs of overstay. Moreover, this led to an availability of beds for emergency department (ED) admissions, and the subsequent reduction in the ED boarding time.
How this study might affect research, practice or policy
This project highlights the positive impact of case management on the quality of healthcare administration and utilisation of hospital resources.
Introduction
Prolonged hospital stays are associated with patient morbidity1 2 and contribute to hospital bed shortages, overwork of hospital staff and increased operational costs.3 4 Patient overstay refers to longer than necessary stay in hospitals in the absence of medical necessity.5 Optimising patient flow allows hospitals to improve the care provided to their patients.6 Nevertheless, improving patient flow from the emergency department (ED) through the inpatient setting to patient discharge remains one of the main problems in hospital bed management.7 Hospital bed utilisation is influenced by many factors related to patients, healthcare professionals and hospital administration.8 In Al Hada Armed Forces Hospital, Taif, Saudi Arabia, there were 191 cases of inpatient overstay with 11 672 overstay days during 2018. The average estimated cost for overstay days was US$8 000 000. Despite a target inpatient stay of <7 days, the average length of stay (ALOS) was 8.6 days. This negatively affected the average boarding time of the ED from a target of <6 hours to 11.9 hours. The aim of this project was to improve the patient admission-discharge process, through optimised utilisation of hospital resources, to reduce the length of stay of inpatients and to avoid the bed costs of unnecessary overstay.
Methods
Mapping patient flow along the admission-discharge process
Case management (CM) is an evolving department established at Al Hada Armed Forces Hospital, Taif, Saudi Arabia, to enable proper utilisation of hospital resources and to ensure the safe and efficient healthcare delivery to patients.
During 2018, 191 overstayed inpatients were identified with 11 672 overstay days. The CM department traced the process of patient flow from ED admission to discharge from the ward (the CM pathway) (online supplemental figure 1) to determine the bottlenecks of the hospital admission-discharge process. Tracing efforts uncovered multifactorial causes affecting the length of stay of inpatients (online supplemental figure 2). Some were patient related (eg, refusing discharge, undecided family member to whom the patient will be discharged, delay in home modifications); others were related to the healthcare provider (eg, lack of communication with patients, inefficient performance of the multidisciplinary (MD) team, deficient coordination between departments participating in patient care). Also detected were organisational factors (eg, absence of auditing for the admission-discharge process, inefficient discharge planning and/or implementation). Of over 30 reasons explaining inpatient overstay at Al Hada Armed Forces Hospital, 8 were responsible for prolonging the length of stay in 70% of cases (table 1).
Table 1
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Major causes for patient overstay at Al Hada Armed Forces Hospital
Project team
A team was assembled to design and implement the necessary interventions. The team comprised the head of the CM department, a Healthcare Risk Management professional, a Continuous Quality Improvement and Patient Safety (CQI and PS) specialist, the head of a clinical department, and a case manager.
The interventions were designed to facilitate the discharge of patients and to reduce the bed costs of inpatient overstay. This was achieved through the implementation and monitoring of hospital policies for the length of stay, redesigning the discharge process, improving early engagement of patients and their families in the care plan, and remapping the patient flow process in the ED and inpatient wards. Overstay days and bed costs were calculated monthly. Twelve units were involved in this project: five medical units, six surgical units and one paediatric unit.
Measures
Process measures:
This was measured as a percentage of completion of the recommended improvement actions. Data for this measure were observed via the CM monitoring sheet for the action plan.
Outcome measures:
ALOS: The average number of days of a single episode of hospitalisation. It is measured by dividing the total number of days stayed by all inpatients during a year by the number of discharges.9
Inpatient overstay days: Total number of inpatient days exceeding 7 days following ED admission with no health-related need for the stay.
Overstay bed costs: The cost of bed utilisation of overstayed days of inpatients in the hospital.
ED boarding time: The duration of holding patients in the ED after the decision is made to admit the patient.
Balancing measures:
Readmission rate: The percentage of patients with unplanned readmission to the hospital within 30 days of being discharged divided by the total discharges in the same measurement period (excluding patients discharged against medical advice and transferred to other hospitals).
Balancing measures determine whether changes designed to improve patient length of stay were causing new problems in other parts of the system.
For calculating the outcome and balancing measures, data were collected on a weekly basis from the hospital information system (WIPRO) and submitted to the CQI and PS department for analysis.
Interventions
This project used the extension Deming Cycle method: Find-Organise-Clarify-Understand-Study-Plan-Do-Check-Act (PDCA).9 Solutions were implemented through three PDCA cycles (first, second and third phases), each consisting of 6 months, with 1 month intervals in between, conducted between January 2019 and July 2020 (online supplemental figure 3).
The improvement solutions comprised six axes (table 2):
Improving early patient and family involvement in healthcare delivery and the discharge process through:
Providing an educational booklet published by the CM department (reviewed and approved by the Health Education department). The booklet covered the nature and prognosis of the disease, the medications administration and their side effects, daily care for bedridden patients, how to transfer patients to and from bed, regular hygiene, early recognition of deteriorating signs and how and when to seek medical advice. The booklet was easy to understand, visually attractive, clear and readable.
Conducting periodic meetings for the families with the MD team.
Improving coordination between healthcare providers from different disciplines and focusing on how to address and respond to patient needs and changes in condition in a timely manner.
Enhancing the role of case managers in the healthcare process and enforcing their participation in morning rounds with the treating team for real-time recognition of patient status and progress of care and addressing any delays or problems in healthcare.
Implementing an MD team approach to monitoring and facilitating patient discharge. The MD team is an independent clinical team, not part of the treating team, which included a physician, a nurse, a social worker, a case manager, a rehabilitation physician and a home healthcare physician. The MD team conducted rounds on daily basis to supervise compliance with patient discharge policy and to help solve any problems facing the treating team and patients and/or their families to facilitate safe pulling of patients either to their homes or to any other suitable level of care facility (eg, rehabilitation, hospice, home healthcare service). The MD team also collected data about patients staying in the hospital for more than 7 days; reviewing individual patient data, fully investigating impediments to discharge, and studying resulting data in aggregate at least monthly for system improvement.
Developing an auditing plan to monitor the compliance of staff with the admission and discharge policies and to relay suggestions for improving practice to the concerned departments.
Increasing the awareness of clinical and non-clinical staff about admission and discharge policies (see later) through:
Monthly in-service training for all departments about discharge policy.
Hospital-wide educational and training activities for nurses, physicians and other allied healthcare practitioners to illustrate the importance of early discharge planning (including preparing equipment, need for transfer to another healthcare facility, need for nursing care and home healthcare). Staff were trained in how to streamline the process during patient admission (including investigations, consultation and procedures) and how to identify delays during patient admission and take immediate actions.
Table 2
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Intervention plan
To improve the admission process through the ED and reduce the ED boarding time, the following interventions were implemented:
A gatekeeper was assigned to screen and assess all patients to ensure they meet the criteria of admission.
Improving coordination between healthcare providers from different disciplines and focusing on how to address and respond to patient needs and changes in condition in a timely manner thus speeding the treatment plan (ie, follow-up pending investigations, consultations, medications and referrals).
Enhancing the role of case managers in the healthcare process and enforcing their participation with the treating team for real-time recognition of patient status and progress of care and addressing any delays or problems in healthcare.
The discharge policy encompassed the following:
Early discharge planning should be initiated during the admission with the participation of the patient, the family and the caregiver.
All admitted patients must have a documented clinical criteria of discharge (CCD) form with corresponding milestones stating the expected date of discharge within 14 hours of admission.
The responsible physician must determine patient readiness for discharge based on the predetermined CCD and the need for continuing care services.
The MD team must document the assessment, findings and the plan of care for the patient in the patient medical record.
The discharge summary should be completed by one of the physicians in the treating team at discharge and be approved by the responsible physician within 24 hours of discharge.
Safe patient discharge comprised medication review, safe home transfer, home preparation, social support and family education. To ensure the management of proper transition, CM provided advocacy services to meet patient health needs. In collaboration with other treating team members, patients and their families were educated and prepared before discharge. Health educators and social workers were involved in the process of education and home preparation for safe patient discharge. When the patient had any clinical equipment to be used in the home (eg, nasogastric tube, percutaneous endoscopic astrostomy tube, portable mechanical ventilators), the patient and family were educated by the corresponding disciplines as an integral part of discharge planning. The milestones documented in the CCD form were monitored and managed during patient hospitalisation. Moreover, social workers, health educators and the MD team members were involved in the process leading to discharge. CM facilitated emergency medical service (EMS)/MEDIVAC transport, especially bedridden patients, for safe transfer through real-time coordination with the EMS. In case the patient needed assistance at home such as palliative/supportive care, the patient was referred to the home healthcare section affiliated with the hospital.
Analysis
The SPSS (V.26.0, IBM) was used. A p<0.05 was considered statistically significant. Since the data were abnormally distributed as shown by significant Shapiro-Wilk test, non-parametric test (Wilcoxon matched pairs signed-rank test) was applied to compare parameters before and after application of the interventional strategic plan.
Results
After three cycles of intervention (first, second and third phases), the average ED boarding time was reduced from 11.9 hours at the beginning of the intervention to 1.7 hours (figure 1A) and the ALOS was reduced from 8.6 to 7.3 days (figure 1B).
Average boarding time of patients in the emergency department (ED) and average length of stay (ALOS) of inpatients ALOS (in day). (A) Average ED boarding time (in hours) from baseline and across the phases of the study. (B) ALOS of inpatients (in days) from baseline and across the phases of the study. ABT, average boarding; LCL, lower control limit; LOS, Length of stay; UCL, upper control limit.
The total number of overstay inpatients was significantly lowered by 50% (figure 2A) and the number of inpatient overstay days was significantly improved by 91% (figure 2B) at the end of the third phase. Moreover, the hospital readmission rate was significantly reduced (p=0.042). In addition, there was a significant decrease in the overstay bed costs at the end of third phase by 94% from the baseline data (figure 2C). These findings are summarised in table 3.
Number of overstay inpatients, inpatient overstay days and bed cost of inpatient overstay. Number of overstay inpatients from baseline and across the phases of the study. Number of inpatient overstay days from baseline and across the phases of the study. Cost of beds due to inpatient overstay (in Saudi Riyals (SR)) from baseline and across the phases of the study.
Table 3
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Project measures, baseline versus post-intervention
For further analysis, project measures were compared between patients (having similar diagnosis, age, clinical condition and comorbidities) discharged by case managers before (during 2018) and during (2019–2020) the intervention. Seven diagnoses were selected to compare the improvement in bed cost and the number of overstay days: cerebrovascular accident (CVA), severe traumatic brain injury (STBI), respiratory failure, chest infection, ischaemic stroke, chronic kidney disease and sickle cell anaemia (table 4).
Table 4
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Average inpatient overstay days and total cost of overstay per disease, baseline versus during intervention
There was a significant improvement in terms of inpatient days and the overstay bed cost among cases in 2018 and in 2019–2020 for CVA (58%), STBI (54%) and respiratory failure (41%). There were no significant differences for inpatient days and the overstay bed costs between cases in 2018 and in 2019–2020 for chest infection, ischaemic stroke, chronic kidney disease and sickle cell anaemia.
There was statistically significant reduction in inpatient overstay days and overstay bed cost (p=0.018) when compared between patients having similar diagnosis, age, clinical condition and comorbidities.
Discussion
Utilisation management (UM) is the evaluation of the necessity, appropriateness and efficiency of the use of healthcare services, procedures and facilities under the provisions of the applicable health benefits plan.10 UM plays an important role in reducing waste, efficient use of resources and improving operational efficiency and patient care processes. The CM department at Al Hada Armed Forces Hospital has proven to be a cornerstone for proper utilisation of hospital resources, decreasing bed costs and improving operational efficiency. In theis project, the CM department managed to create a design of interventions to improve patient flow of the hospital. Through its role in this project, the interventions introduced over three 6-month PDCA cycles succeeded in improving key performance indicators: reducing the ALOS of inpatients, the number of overstay inpatients and the overutilisation of hospital beds, thereby significantly lessening inpatient overstay days and the associated overstay bed costs. Moreover, ED boarding time was significantly improved since the number of blocked beds in inpatient wards was decreased, thereby providing enough inpatient beds and facilitating faster admission from the ED.
When project measures were compared before and after intervention by diagnosis, five out of seven medical illnesses displayed significant improvements in the number of inpatient overstay days and bed cost.
Limitations
Several restrictions affected our target to decrease the overstay of all inpatients, including an inability to satisfy post-discharge needs of certain patient populations such as ventilated patients (due to lack of specialised long-term care units that can accept ventilated patients and unavailability of home services due to lack of trained and dedicated healthcare workers in their vicinity) and some haemodialysis patients (due to unavailability of haemodialysis centres for patients living in remote areas). Moreover, physicians raised the topic that population characteristics of Saudi Arabia are different than those of other countries which limited the usability of international definitions and data on length of stay for inpatients, necessitating a national effort to produce standardised definitions and guidelines, which will encourage the engagement of physicians from different clinical specialties towards a unified goal.
Despite encouraging results, our intervention plan still requires follow-up and further research, to examine the sustainability and the long-term impact of interventions. Further efforts are still required before these interventions could be generalised to other hospitals in Saudi Arabia. Generalisation to the outside of Saudi Arabia requires the consideration of logistics and population characteristics of the targeted country.
Conclusion
This project shows that the patient admission-discharge process could be regulated without the need for extra expenses, but rather through patient/family engagement, personnel role assignment and process auditing. This improves the utilisation of hospital resources and decreases the workload and expenses for longer than required patient stay. This study also highlights the role of CM in improving operational efficiency in hospitals and directs attention towards the importance of revenue investment for establishing and reinforcing CM departments in healthcare facilities.
Patient and public involvement
Patient-related and/or family-related factors were found to remarkably affect the patient admission-discharge process which this project aimed to improve. Therefore, patients and their families were taken into account in designing and implementing the intervention plan and were addressed by several of the solutions introduced along the admission-discharge process.
Correction notice: The article has been corrected since it was published online. Supplementary file has been updated.
Contributors: SA was the project team leader and was involved in designing the intervention along with the CM department and the CQI and PS facilitator. SA is the guarantor of this work, accepts full responsibility for the work and/or the conduct of the study, had access to the data, and controlled the decision to publish. AA provided the ultimate leadership support for carrying out this project. EH researched the causes of process variation, was involved in selecting and using the process improvement tools and aided in the analysis and interpretation of the results, and also had valuable inputs to the improvement plan. AE critically revised and edited the manuscript. All authors discussed the results and prepared the manuscript.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information.
Ethics statements
Patient consent for publication:
Not applicable.
Acknowledgements
We would like to express our earnest thanks to our leader Dr Ahmad Mohammad Al Amri, the CEO of the Health Services Directorate of Saudi Arabia for his unlimited support and help in improving patient flow in our healthcare system. We would also like to extend our gratitude to Maj. Gen. Dr. Yasser Babair, the Director of hospitals in Taif Region, for allocating the necessary resources, Thanks are also due to everyone else who helped achieve our goals along this journey.
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