|Year : 2017 | Volume
| Issue : 3 | Page : 121-124
Evaluating inappropriate patient stay and its reasons based on the appropriateness evaluation protocol
Zahra Meidani1, Mehrdad Farzandipour1, Mehrdad Hosseinpour2, Davood Kheirkhah3, Manizheh Shekarchi4, Shahla Rafiei5
1 Health Information Management Research Center, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
2 Department of Pediatric Surgery, Imam Hossein Children Hospital, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3 Infectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran
4 Head of Medical Record Department, Shahid Ayatollah Ashrafi Isfahani, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5 Department of Nursing Services, Senior Nurse (matron) of Shahid Beheshti University Hospital, Kashan University of Medical Sciences, Kashan, Iran
|Date of Web Publication||6-Nov-2017|
Infectious Diseases Research Center, Kashan University of Medical Sciences, Kashan
Source of Support: None, Conflict of Interest: None
Background: Hospital beds are among valuable resources for care delivery. Therefore, optimum use of them is crucial for increasing the efficiency of health-care services and controlling health-care costs. Objective: This study intended to evaluate inappropriate patient stay (IPS) in hospital settings and its reasons based on the appropriateness evaluation protocol. Methods: This cross-sectional study was conducted on 335 patients hospitalized in a tertiary care university hospital. Data were gathered prospectively by 13 hospital nurses during a 6-month period. IPS rate was evaluated using a checklist, the 27 criteria of which were related to medical services, nursing/life support services, and patient's conditions. Moreover, a 12-item checklist was used to determine physician-, hospital-, and patient/family-related factors behind inappropriate hospital stay. Results: In total, 121 of 1925 (6.3%) hospitalization days of 335 patients were determined to be inappropriate. Neurosurgery and gynecology wards had the highest and the lowest inappropriate hospital stay rates (22.5% vs. 0%), respectively. The main reasons behind inappropriate hospital stay were hospital-related factors (33.1%), physician-related factors (29.1%), and patient-related factors (21.3%). Conclusion: A wide variety of physician-, hospital-, and patient/family-related factors contribute to IPS. Given the multifactorial causes of IPS, reducing its rate necessitates multidisciplinary approaches.
Keywords: Appropriateness evaluation protocol, Bed utilization, Health-care costs, Hospital stay, Nurses, Utilization review
|How to cite this article:|
Meidani Z, Farzandipour M, Hosseinpour M, Kheirkhah D, Shekarchi M, Rafiei S. Evaluating inappropriate patient stay and its reasons based on the appropriateness evaluation protocol. Nurs Midwifery Stud 2017;6:121-4
|How to cite this URL:|
Meidani Z, Farzandipour M, Hosseinpour M, Kheirkhah D, Shekarchi M, Rafiei S. Evaluating inappropriate patient stay and its reasons based on the appropriateness evaluation protocol. Nurs Midwifery Stud [serial online] 2017 [cited 2021 Jun 23];6:121-4. Available from: https://www.nmsjournal.com/text.asp?2017/6/3/121/217724
| Introduction|| |
In many health-care systems, hospital beds are among valuable resources for care delivery. Along with increasing demands for hospital bed utilization in recent years due to demographic transitions, efforts are needed to reduce the rate of inappropriate patient stay (IPS) in acute care hospital settings.
Utilization review is an effective strategy to assess the appropriateness of hospitalization and the length of stay based on explicit criteria. Appropriateness of care is assessed through determining whether services provided to patients are consistent with their clinical needs in terms of diagnosis, signs and symptoms, and medical interventions. Such assessments are usually done by utilization review nurses or nurse case managers. Utilization review nurses employ their professional knowledge and expertise and sometimes appropriateness guidelines or criteria to evaluate the necessity of medical intervention based on patients' physical and mental conditions. A study showed that nurse case managers can significantly reduce the unnecessary admissions in various health-care settings.
Utilization review guidelines were developed in the 1970s to control health-care costs based on explicit criteria. The appropriateness evaluation protocol (AEP) and its adaptations are the most commonly employed tools for the utilization review of hospital beds and IPS. Studies showed that the length of IPS and its reasons vary widely according to the immediate context., However, no study has yet evaluated IPS and its reasons in Iran. Thus, the present study was made to narrow this gap.
The aim of this study was to evaluate IPS and its reasons based on the AEP.
| Methods|| |
This cross-sectional study was conducted between April and December 2013 in a 510-bed tertiary care university hospital located in Kashan, Iran.
With an IPS rate of 8.6%, sample size was estimated to be 335 patients. Based on the number of admissions in each ward, patients were proportionately recruited from surgical (142 patients) and medical care wards (193 patients). They were included if they were admitted to the study setting between April and December 2013.
We measured IPS via AEP, which is the most reliable and valid audit tool for determining appropriateness of patient admission and hospital stay in acute care settings. It consists of a set of explicit objective criteria in the following two checklists: checklist of criteria for assessing the necessity of hospitalization and checklist of the reasons for IPS on the day of assessment. The first checklist consists of 27 criteria related to medical services, nursing/life support services, and patient's conditions and determines the days of unnecessary hospital stay. A hospitalization day is considered as appropriate if any of the criteria is met. Contrarily, if none of the criteria is met, patient stay is considered as inappropriate and, thus, the second checklist is used to determine the reasons behind IPS. The second checklist consists 12 items in three main categories, namely, physician-, hospital-, and patient/family-related factors. Each of these three main categories is divided into several subcategories.
Given the importance of IPS assessment by health-care providers other than physicians, we recruited 13 hospital nurses from the different wards of the study setting to collect the data. Initially, three 1-h training sessions were run for hospital nursing manager and the recruited nurses to explain the study aims, AEP, and how to perform IPS assessment using the AEP checklists. Instead of merely focusing on patient medical records and medical orders, nurses were asked to collect study data through different strategies such as interviewing patients, performing patient assessment, and taking patient history. Such approach helped verify the appropriateness of patient stay.
This research project was approved by the Research Ethics Board of Kashan University of Medical Sciences, Kashan, Iran (with the approval code of 631). We informed data collector nurses about research objectives, the voluntariness of participation, and the confidential handling of the collected data.
Descriptive statistics measures were presented for data description. Moreover, the Chi-squared test was used to examine the correlation of IPS with age and hospital ward. Data analysis was performed using SPSS version 13 (SPSS, Inc. Chicago, Illinois, USA). The level of significance was set at below 0.05.
| Results|| |
The total IPS rate was estimated to be 121 days out of 1925 hospitalization days (6.3%). IPS was significantly correlated with patients' age and their hospitalization ward (P < 0.001). The highest and the lowest IPS rates were related to neurosurgery and gynecology wards, respectively (22.5% vs. 0%). On the other hand, the most common reasons behind IPS were hospital-related factors (42 days, 33.1%). Further analyses revealed that “awaiting diagnostic procedures,” “physician not visiting in a given day,” and “patient's inability to afford costs” were the most common reasons for IPS [Table 1].
| Discussion|| |
Our findings indicated that hospital-related factors were the most common reasons behind IPS while the most common hospital-related factor was “awaiting ultrasound/echo, imaging, and laboratory test results.” Various studies indicated that length of stay is affected by laboratory, radiology, or any other types of diagnostic studies so much, so that it was determined to be significantly correlated with laboratory turnaround time.,, Therefore, reducing laboratory turnaround time and improving the accuracy of diagnostic findings can shorten the length of hospital stay and save hospital budget.
Meidani et al. also found that 101 out of 9541 blood samples taken for laboratory studies were useless due to hemolysis. In general, there are three types of laboratory errors, namely, preanalytical, analytical, and postanalytical errors. Preanalytical errors happen due to insufficient sample, incorrect sample, or hemolysis, while analytical errors are related to absurd results. Moreover, postanalytical errors are related to improper data entry, long turnaround time, and erroneous analysis and reporting. Evidence suggests that although nurses play a crucial role in preanalytical errors, they have limited knowledge about them. Nurses' failure to obtain and prepare quality blood samples in the preanalytical phase can prolong laboratory turnaround time and hospital stay. Moreover, nurses' limited knowledge about the costs of laboratory tests can lead to their overutilization of laboratory services. Therefore, enhancing their knowledge and awareness about cost containment and appropriate utilization of health-care resources seems imperative.
Besides enhancing nurses' knowledge, turnaround time can be reduced through automation systems, work process modification, and work redesigning. Moreover, in radiology departments, strategies such as picture archiving and communication systems and voice recognition technologies can reduce radiology report turnaround time and thereby shorten the length of hospital stay.
Findings of the present study determined the bottlenecks areas of IPS which included test and imaging results cycle and delayed operation. This study not only opened up avenues for more investigation about the utilization review of health-care services but also proposed new roles and responsibilities for nurses in health-care efficiency and cost containment in Iran.
A limitation of the present study was the use of AEP without any adaptation and modification. AEP questionnaire needs to be validated according to the immediate clinical environment and the structure of the immediate health-care system. Thus, designing culturally appropriate AEP protocols is needed to achieve more reliable and accurate results.
| Conclusion|| |
IPS rate in our setting is still high, and bed utilization is ineffective due mainly to hospital-related factors such as delayed diagnostic, consultation, medical, and surgical services. Given the multifactorial causes of IPS, reducing IPS rate and improving bed utilization effectiveness necessitate multidisciplinary approaches. An approach can be the establishment of “utilization review committees” consisting of physicians, nurses, laboratory and radiology technicians, medical education staff, and health-care managers. Developing and using efficient health information systems can also reduce IPS rate and facilitate effective bed utilization. Future studies are recommended to develop and implement strategies to reduce IPS rate and improve bed utilization.
We wish to express our gratitude to all participants in current research as funding support, data collectors, and facilitators.
Financial support and sponsorship
This work was supported by the Research and Technology Administration of Kashan University of Medical Sciences 9215.
Conflicts of interest
There are no conflicts of interest.
| References|| |
Schmidt R, Geisler S, Spreckelsen C. Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources. BMC Med Inform Decis Mak 2013;13:3.
Barisonzo R, Wiedermann W, Unterhuber M, Wiedermann CJ. Length of stay as risk factor for inappropriate hospital days: Interaction with patient age and co-morbidity. J Eval Clin Pract 2013;19:80-5.
Abdelhak M, Grostick S, Hanken M. Health Information: Management of a Strategic Resources. Philadelphia: W.B. Saunders Company; 2012. p. 467.
Gray FC, White A, Brooks-Buck J. Exploring role confusion in nurse case management. Prof Case Manag 2013;18:66-76.
Reinius P, Johansson M, Fjellner A, Werr J, Ohlén G, Edgren G. A telephone-based case-management intervention reduces healthcare utilization for frequent emergency department visitors. Eur J Emerg Med 2013;20:327-34.
Sharieff GQ, Cantonis M, Tressler M, Whitehead M, Russe J, Lovell E. Decreasing avoidable hospital admissions with the implementation of an emergency department case management program. Am J Med Qual 2014;29:200-5.
Soria-Aledo V, Carrillo-Alcaraz A, Flores-Pastor B, Moreno-Egea A, Carrasco-Prats M, Aguayo-Albasini JL. Reduction in inappropriate hospital use based on analysis of the causes. BMC Health Serv Res 2012;12:361.
Shafik MH, Seoudi TM, Raway TS, Al Harbash NZ, Ahmad MM, Al Mutairi HF. Appropriateness of pediatric hospitalization in a general hospital in Kuwait. Med Princ Pract 2012;21:516-21.
PourReza A, Kavosi Z, Mahmoudi M, Batebi A. Admissions and numbers of days of staying of inpatients on the basis of the appropriateness evaluation protocols in two Tehran University of Medical Sciences hospitals. SJSPH 2006;4:73-83.
Breil B, Fritz F, Thiemann V, Dugas M. Mapping turnaround times (TAT) to a generic timeline: A systematic review of TAT definitions in clinical domains. BMC Med Inform Decis Mak 2011;11:34.
Meidani Z, Farzandipour M, Farrokhian A, Haghighat M. A review on laboratory tests' utilization: A trigger for cutting costs and quality improvement in health care settings. Med J Islam Repub Iran 2016;30:365.
Mäkitalo O, Liikanen E. Improving quality at the preanalytical phase of blood sampling: Literature review. Int J Biomed Lab Sci 2013;2:7-16.
Jalili M, Shalileh K, Mojtahed A, Mojtahed M, Moradi-Lakeh M. Identifying causes of laboratory turnaround time delay in the emergency department. Arch Iran Med 2012;15:759-63.
Clancy C, Murphy M. Laboratory test costs: Attitudes and awareness among staff in a regional hospital. Ir Med J 2014;107:8-11.
Yerian LM, Seestadt JA, Gomez ER, Marchant KK. A collaborative approach to lean laboratory workstation design reduces wasted technologist travel. Am J Clin Pathol 2012;138:273-80.
Sferrella SM. Success with voice recognition. Radiol Manage 2003;25:42-9.