1 

SUBMITTED 27 JAN 22 1 

REVISIONS REQ. 17 MAR & 22 MAY 22; REVISIONS RECD. 20 APR & 3 JUN 22  2 

ACCEPTED 16 JUN 22 3 

ONLINE-FIRST: JUNE 2022 4 

DOI: https://doi.org/10.18295/squmj.6.2022.045 5 

 6 

Inappropriate Hospital Stay of Patients Admitted Under Care of 7 

General Medicine Units 8 

A retrospective study 9 

 10 

Ahmed Al-Yarabi,1,2 Huriya Al Balushi,2 Khaloud Al Hatmi,2 Reem Al Yahyaie,2 11 

*Abdullah M. Al Alawi,1,3 Khalfan Al Zeedy,1,3 Hatem Al Farhan1,3 12 

 13 

1Oman Medical Specialty Board, Muscat, Oman; 2National Cardiology Center, Muscat, Oman; 14 

3Department of Medicine, Sultan Qaboos University Hospital, Muscat, Oman. 15 

*Corresponding Author’s e-mail: dr.abdullahalalawi@gmail.com  16 

 17 

Abstract  18 

Objective: This study aims to assess the incidence of inappropriate hospital stay and to identify 19 

reasons behind inappropriate hospitalisation. Methods: The study was a retrospective cohort 20 

study included patients admitted under the care of General Internal Medicine. First, we 21 

calculated the average length of hospital stay for all included patients, and then we used 22 

Appropriateness Evaluation Protocol to examine admissions that exceeded the average length of 23 

hospital stay and then identify reasons for the inappropriate hospital stay. Results: There were 24 

854 admissions during the study period. In this cohort, 53.1% were men, and the median age was 25 

64 (IQR:44-75) years. There was a total of 6785.4 hospitalization days, and the average length of 26 

hospital stay was 5 (IQR:3-9) days. 31.9% of admissions (n=272 admissions) included 27 

inappropriate hospitalization days. 9.9 % (n=674 days) of hospitalization days were classified as 28 

inappropriate. Delay in complementary tests (29.0%), and unavailability of extra-hospital 29 

resources (21.7%) were the most common reasons associated with inappropriate hospital stay. 30 

mailto:dr.abdullahalalawi@gmail.com


 

 2 

Old Age was associated with increased inappropriate hospital stay. Conclusion: A significant 31 

proportion of hospitalisation days were inappropriate due to hospital related factors. Therefore, 32 

auditing hospital services, and investing in home-based care are among the top strategies which 33 

are likely to improve early discharge and minimize inappropriate hospital bed occupancy. 34 

Keywords: Hospital Stay; Hospitalization, patient discharge; General Internal Medicine 35 

 36 

Advances in Knowledge: 37 

 A significant proportion of hospital stay is inappropriate primarily due to hospital-related 38 

factors. 39 

 40 

Application to Patient Care: 41 

 Auditing healthcare services, implementing programs to lean process of tests and 42 

procedures execution, and investing in subacute health services and home-based care 43 

programs are essential steps to improve early discharges and minimize inappropriate 44 

hospital stay. 45 

 46 

Introduction 47 

Inappropriate hospital stay has been used widely in the medical literature to describe any hospital 48 

stay with no clinical indication resulting from the suboptimal use of health care services.1, 2 The 49 

inappropriate days of hospitalization may undermine the effort to improve medical health care 50 

quality due to the increased risk of iatrogenic complications such as healthcare-associated 51 

infection, deep vein thrombosis, depression, and loss of physical dependence. In addition, 52 

inappropriate length of hospital stay is associated with a substantial increase in morbidity and 53 

mortality.2, 3  54 

 55 

Reducing healthcare costs and optimizing the utilization of the current healthcare facilities, 56 

including hospital beds, are among the best ways to increase the efficiency of healthcare 57 

resources. Nevertheless, studies showed that more than 20% of hospital beds are used 58 

inappropriately, resulting in a waste of resources, and increased iatrogenic risks for patients.4, 5  59 

 60 



 

 3 

Previous studies have shown that between 20-and 40% of hospital days were inappropriate 61 

stays.1, 6-8  Delay in performing and reporting diagnostic tests, delay in consultation, delay in 62 

performing procedures are among the most common causes of inappropriate hospital stay.1, 7, 9, 10  63 

old age, prolonged length of hospital stay, and medical admissions were associated with an 64 

increased inappropriate hospital stay.8, 11, 12 In general, implementing quality improvement 65 

projects including routine auditing hospital services, multidisciplinary team approach, 66 

engagement of discharge planners early on admission, and improving home-based services have 67 

been shown to reduce inappropriate hospital stay.6, 13  68 

 69 

Studies assessing factors associated with inappropriate hospital stay in the Middle Eastern 70 

Region are sparse. The study's findings will assess the extent of inappropriate hospital stay and 71 

identify reasons for the inappropriate hospital stay. Also, it will guide hospital managers, and 72 

stakeholders to put strategies and implement measures to optimize health care resources 73 

utilization without the need for additional financial investment. 74 

 75 

Methods 76 

Study setting 77 

Oman's population is rising at more than 9% per year, making it one of the most growing 78 

populations globally. According to the latest United Nations figures, Oman’s current population 79 

is around 5 million people, and more than 1.4 million live in Muscat governorate.14, 15 80 

Socioeconomic growth coupled with a remarkable improvement in the health care system in 81 

Oman has resulted in an increased birth rate and decreased mortality rate, hence causing an 82 

accelerated population expansion which continues to put a tremendous strain on the healthcare 83 

system resources.16 84 

 85 

One of the indicators of the quality of health service delivery is the number of hospital beds. 86 

According to the Ministry of Health's annual report in 2020, there were 15.6 hospital beds 87 

available for every 10,000 individuals in Oman.17 Similarly, hospital beds available for every 88 

10,000 individuals range from 12.5 to 22 beds in the Gulf Cooperation Countries (GCC). While 89 

in the United States, there are 28.7 beds for every 10,000 of the population.16, 18  90 

 91 



 

 4 

The study was a retrospective cohort study conducted at Sultan Qaboos University Hospital 92 

(SQUH), a 500-bed multispecialty tertiary referral hospital with several unique services and 93 

certain specialized medical facilities. In addition, it is a major teaching hospital for medical and 94 

nursing students at the College of Medicine and Health Sciences and College of Nursing. Also, it 95 

is a major training centre for medical interns, general foundation program trainees and residents 96 

of the Oman Medical Speciality Board. 97 

 98 

The General Internal Medicine Unit receives around 70-80% of medical patients admitted 99 

through the Emergency Department. The range of patients varies between patients with single 100 

organ system disease -e.g. pneumonia-and patients with complex diseases or undifferentiated 101 

illnesses. Besides medical admissions, the General Internal Medicine Unit provides admission 102 

services to patients with immunological, genetic, and metabolic diseases due to the lack of 103 

admission services for these specialities.  104 

 105 

There are two main medical wards with a total bed capacity of 45 beds and ten beds in the high 106 

dependency unit. In addition, general medical patients may be admitted to other non-medical 107 

wards during busy periods. 108 

 109 

Data sources 110 

We included patients admitted under the care of the General Internal Medicine Unit from the 1 of 111 

January 2020 until the 30 of June 2020. Patients admitted with COVID-19 infection were 112 

excluded from the study. Trained medical doctors collected relevant demographic and clinical 113 

data from patients' electronic records. Length of hospital stay counted as difference between the 114 

time and date of admission and the time and date of discharge   Primary diagnoses were coded 115 

and classified according to the 10th revision of the International Statistical Classification of 116 

Diseases and Related Health Problems (ICD-10). 117 

 118 

Hospital Stay Appropriateness measurement tool and procedure 119 

The Appropriateness Evaluation Protocol (AEP) is the most widely used instrument for 120 

evaluating the appropriateness of hospitalizations in various countries. Gertman and Restuccia 121 

developed AEP in 1981, and the original version contains 27 criteria for use in internal medicine 122 



 

 5 

and surgical departments to evaluate the appropriateness of hospital admission and 123 

hospitalization days.19 Reasons for inappropriate hospital stay-according to AEP- include 124 

inappropriate date of discharge, delay related to awaiting complementary tests, delay related to 125 

awaiting the results of complementary tests, awaiting surgical procedures, delay related to 126 

awaiting consultations, delays related to poor planning for discharge, delay related to unavailable 127 

extra-hospital resources (e.g. palliative care, and rehabilitation services), delay related to 128 

unavailable intensive care bed, or delay related to inadequate family support.20  129 

 130 

AEP has been used across many countries, and it was modified many times to adapt to various 131 

health care settings.21 In addition, previous studies have proven that AEP is highly reliable and 132 

valid modality to provide an objective assessment for inappropriate hospital stay.21, 22 133 

 134 

We have used a modified version of AEP that includes 27 objective criteria items related to 135 

medical and nursing services, extra-hospital resources, and patient-related factors. If one of the 136 

criterion is fulfilled, the hospital days are considered appropriate, and if none are met, then the 137 

days are considered inappropriate.20, 23 138 

 139 

A team of four trained medical doctors who were not involved directly in patient care reviewed 140 

all included patient medical records – patient electronic medical records- in detail. Each 141 

admission was assessed independently by at least two medical doctors to assess the 142 

appropriateness of hospital stay. The previously reported average length of hospital stay for 143 

patients admitted under the care of the General Internal Medicine Unit at SQUH and the 144 

calculated average length of hospital stay for our cohort was five days. Hence, any admission 145 

that exceeded five days was reviewed to assess the appropriateness of the hospital stay. 146 

Uncertainty regarding the appropriateness of hospital stay was discussed among team members 147 

until consensus was achieved.  148 

 149 

Statistical analysis  150 

Categorical variables (e.g. sex) were reported as numbers and percentages, and differences 151 

between groups were assessed using the Chi-square test or Fisher's exact as appropriate. We 152 

report continuous variables (e.g. age) as mean ± SD for normally distributed values or median 153 



 

 6 

(IQR) for non-normally distributed values. In addition, differences between groups (3 or more) 154 

were assessed using one-way ANOVA for normally distributed continuous variables or Kruskal–155 

Wallis rank test for non-normally distributed continuous variables. Finally, we conducted a 156 

regression analysis to identify patient-related factors associated with an increased risk of the 157 

inappropriate hospital. Stata v. 17.0 software package (StataCorp LLC, USA) was utilized to 158 

perform statistical calculations, and P-values <0.05 were considered statistically significant. 159 

 160 

Ethical approval 161 

The study was approved by the Medical Research Ethics Committee (MREC) of the College of 162 

Medicine and Health Sciences at our institution. 163 

 164 

Results 165 

There were 855 admissions under the care General Internal Medicine Unit during the study 166 

period. In this cohort, 53.1% were men, and the median age was 64 (IQR:44-75) years. There 167 

were 6785.4 hospitalization days, and the average length of hospital stay was 5 (IQR:3-9) days. 168 

31.8% of admissions (n=272 admissions) included inappropriate hospitalization days. 9.9 % 169 

(n=674 days) of hospitalization days were classified as inappropriate. There were 29 mortalities 170 

during the study period (Table 1). 171 

 172 

Diseases of the circulatory system (22.4%) and respiratory systems (22.0%) were the most 173 

common class of primary diagnoses for patients admitted under the care of the General Internal 174 

Medicine Unit. In addition, neoplasms and diseases of the skin and subcutaneous tissue had a 175 

longer hospital stay than other classes of primary diagnoses-i.e. 8 and 7, respectively (Table 2). 176 

 177 

Pneumonia (14.0%), heart failure (3.8%), transient ischemic attack (TIA) and stroke (8.0%), 178 

exacerbations of chronic lung diseases (6.3%), sepsis (4.6%), admissions related to drug and 179 

alcohol (4.2%), and urinary tract infection (4.1%) were the most common primary diagnoses. 180 

Drug and alcohol-related admissions occurred mainly in young and male patients. Admission 181 

due to TIA and stroke (42.7%), exacerbations of chronic lung disease (42.6%) and urinary tract 182 

infections (42.9%) were likely to result in an inappropriate hospital stay. Also, TIA and stroke 183 

diagnoses (3 {1-3} days) were associated with prolonged length of inappropriate hospital stay. 184 



 

 7 

Sepsis was associated with an increased inpatient mortality rate (12.8%) (Table 3). 185 

 186 

Delay in complementary tests (29.0%), unavailability of extra-hospital resources (21.7%), and 187 

delay in the results of the complementary tests (18.8%) were the most common reasons 188 

associated with inappropriate hospital stay (Table 4).  189 

 190 

In terms of patient’s related factors, a regression analysis showed that old age was associated 191 

with an increased risk of inappropriate stay (p= 0.007; odds ratio [OR]: 0.020 per 10-year 192 

increase in age, 95% confidence interval CI: 0.006-0.036). 193 

 194 

Discussion 195 

This study assessed inappropriate hospital stay in a region with a rapidly expanding population 196 

that overstrained health care system resources. It showed that around 10% of hospital bed-day 197 

were wasted. Waiting for complementary tests, awaiting results of complementary tests and lack 198 

of extra-hospital resources were the most common causes of inappropriate hospital stay. In 199 

addition, old age and specific diagnoses such as stroke and chronic respiratory diseases are more 200 

likely to result in an inappropriate hospital stay. 201 

 202 

In this study, the overall average length of hospital stay for patients admitted to the General 203 

Internal medicine unit was five days which is higher than the average length of stay (3.9 days) in 204 

a similar health care setting in Oman,17 but is below the average length of stay reported in 205 

different Asian & European countries  (6.4-7.8 days).24  A study from Thailand reported a length 206 

of hospital stay of 25.9 days for patients admitted under the care of the general medicine 207 

department.25 This probably is due to the inclusion of subacute admissions (e.g. palliative care, 208 

rehabilitation services) under the internal medicine department. In contrast, a study from 209 

Australia has shown the length of hospital stay of patients admitted under the care of general 210 

medicine was 3.7 days.26 The variations in the reported length of hospital stay could be explained 211 

by multiple factors, including accessibility to diagnostic and therapeutic services, availability of 212 

subacute medical services and home-based services. 213 

 214 

According to Appropriateness Evaluation Protocol criteria, 31.9% of hospitalization (n=272) 215 



 

 8 

included inappropriate hospital days, causing a waste of around 9.9% of total hospital bed-days 216 

(n=674). The rate of inappropriateness has been reported in various international studies with 217 

significant variation across countries, hospitals, and clinical departments. However, studies 218 

conducted to assess the utilization of beds in internal medicine departments over the past 20 219 

years concluded the rate of inappropriateness ranges between 20 to 41%. 27-30  A study from 220 

Netherland showed that more than 20% of hospital stay was inappropriate and old age, lack of 221 

home-based care and specialized medical services were associated with an increased risk of 222 

inappropriate hospital stay.28 223 

 224 

The disparity in the rate of inappropriate hospitalization between these studies is significant, 225 

which could be due to differences in admission and discharge protocols, geographic areas, or bed 226 

occupancy rates of different hospitals. In addition, differences in methodology, including 227 

sampling methods, AEP modifications, options used to justify hospitalization days, and the 228 

quality of medical records are important factors that might have contributed to the differences in 229 

the previously reported rate of inappropriate hospital stay.28, 31 Our rate is lower than the reported 230 

rate in a similar setting, probably because we have only included admissions that exceeded the 231 

calculated average length of hospital stay (i.e. five days). 232 

 233 

The most common reasons for the inappropriate hospital stay in the current study mainly were 234 

related to the hospital system factors, including delay of complementary tests or awaiting its 235 

results. In our institution, a routine imaging request is usually carried out in 1-3 days, and the 236 

official report may require up to 2 days following the procedure. As a tertiary and university 237 

hospital receiving many undiagnosed cases from different regional hospitals for expert opinion, 238 

diagnostic workup represents a significant part of patient's hospitalization period. Hence, 239 

institutional arrangements should be initiated, including the execution of a program for request 240 

justification, scheduling and reporting procedures.9 241 

 242 

In addition, extra-hospital care, including the availability of long-term or palliative care beds and 243 

rehabilitation services, accounted for around 21% of inappropriate hospital stay. This result 244 

highlights the lack of adequate rehabilitation services, home-based care and nursing homes, 245 

resulting in inappropriate hospitalization and utilization of acute health resources in Oman. 246 



 

 9 

 247 

Around 17% of inappropriate hospital stays were due to waiting for specialist consultation. 248 

General Internal Medicine routinely admits patients with multiple complex issues; hence other 249 

specialities consultation is vital. Creating an efficient consultation process and improving 250 

communication between teams might decrease inappropriate hospital stays. 32, 33    251 

 252 

In term of patients’ related factors, previous studies have shown that old age, patient with 253 

multiple comorbidities including chronic heart failure, stroke, and soft tissue infection at 254 

increased risk of prolonged length of hospital stay.34, 35 255 

 256 

Our study has shown that the majority of patients were hospitalized with circulatory and 257 

respiratory systems diseases. Pneumonia and exacerbations of chronic lung disease were among 258 

the most common diagnoses, with a median length of hospital stay of 6 days, which is higher 259 

than the reported length of hospital stay in similar health settings (i.e. five days).36 This could be 260 

explained by the fact that our cohort of patients had advanced chronic pulmonary diseases, and 261 

many were on long-term oxygen therapy and mechanical ventilatory support.  262 

 263 

Acute decompensated heart failure was the second most common diagnosis in our study, with a 264 

median length of hospital stay of 5.5 days (IQR: 4-9), consistent with international studies, 265 

which reported a median of 6 days (IQR 4-9).34, 37 This is due to the nature and complexity of 266 

managing heart failure leading to an increased rate of admission and readmission, the need for 267 

intravenous diuretics and the possible development of complications like renal injury.38 Heart 268 

failure was also associated with increased length of inappropriate hospital stay, which might be 269 

due to the delay in performance of cardiac-specific imaging, the interpretation of these 270 

investigations, and lack of multidisciplinary heart failure service. 271 

 272 

Neoplasm’s class of diagnoses had the most extended length of hospital stay and the highest total 273 

number of inappropriate hospitalization days, which is likely due to the time needed to perform 274 

diagnostic investigations to confirm the diagnosis and arrange the appropriate transfer of care to 275 

oncological specialities. Diseases of the skin and subcutaneous tissue had an increased length of 276 

inappropriate hospital stay, possibly due to delay diagnosis and delayed specialist consultation. 277 



 

 10 

 278 

Around 43% of admission due to stroke and TIA contains inappropriate hospital days. This was 279 

mainly due to delays in performing relevant investigations such as Magnetic Resonance Imaging 280 

(MRI), Holter monitoring, and echocardiography. In addition, the absence of a dedicated stroke 281 

unit and inpatient rehabilitation service contributed to inappropriate hospitalization of patients 282 

with acute stroke.  283 

 284 

Logistic regression analysis demonstrated that old age was associated with an increased 285 

inappropriate hospital stay. This could be explained by the increased burden of comorbidity and 286 

high prevalence of geriatric syndromes in elderly patients.39 Dementia, poor pre-morbid 287 

functional status were found to be associated with prolonged length of hospital stay in elderly 288 

patients in previous studies.40      289 

 290 

Many previous studies identified strategies and interventions to promote early discharge and 291 

reduce inappropriate hospital stay. Auditing clinical and procedural services, physicians' 292 

accountability, coordinating patient care early on admission, establishing a discharge planning 293 

unit, investing in home-based care, nursing home and rehabilitation services were effective 294 

strategies to minimize inappropriate hospital stay.5, 9, 41, 42 295 

 296 

Also, geriatric assessment for old patients, implementing of clinical pathways for management of 297 

common diagnoses such as heart failure, medications for patients with polypharmacy, and case 298 

management may reduce length of hospital stay.34, 43 299 

 300 

This study has many strengths. It is one of the few studies from the Middle East Region where 301 

the expanding population puts extreme pressure on health care systems. The study identified 302 

several hospital-related factors causing the prolongation of inappropriate hospital stay. Also, it 303 

provides stakeholders and hospital managers with insights about the waste in acute hospital beds 304 

and potential services to target to reduce inappropriate hospital stays. 305 

 306 

The limitation of the study includes the retrospective nature of the study that reports data from a 307 

single centre. Also, only we reviewed admissions that exceeded the average length of hospital 308 



 

 11 

stay, which might underestimate the wasted hospital beds. Due to the study's retrospective nature 309 

and lack of billing information -free of cost health care system for citizens- we could not 310 

estimate the financial implication of inappropriate hospital stay. 311 

 312 

Conclusion 313 

A significant proportion of hospital stays are deemed inappropriate primarily due to hospital-314 

related factors, including in-hospital delay procedures and the inability to discharge patients to 315 

subacute hospital care settings. Therefore, auditing hospital services to minimize the time 316 

between test request and completion of the test (performance and reporting), monitoring the 317 

quality of consultation services, establishing rehabilitation services and investing in home-based 318 

care are among the top strategies which are likely to improve early discharge and minimize 319 

inappropriate hospital bed occupancy.    320 

 321 

Conflicts of Interest  322 

The authors declare no conflict of interests.  323 

 324 

Funding 325 

No funding was received for this study. 326 

 327 

Author Contributions 328 

Ahmed Al-Yarabi was involved in study conception and design, data collection, and draft 329 

manuscript preparation. Huriya Al Balushi, Khaloud Al Hatmi and Reem Al Yahyaie were 330 

involved in data collection, and draft manuscript preparation. Abdullah M. Al Alawi was 331 

involved in study conception and design, analysis and interpretation of results, revision, and final 332 

editing of the manuscript. Khalfan Al Zeedy and Hatem Al Farhan were involved in study 333 

conception and design. 334 

 335 

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 462 

Table 1: Patients' characteristics and admission data 463 

Characteristic Total (n= 855) 

Age (years)-Median (IQR) 64 (44-75) 

Female-no (%) 401(46.9%) 

Male -no (%) 454 (53.1%) 

The average length of hospital stays (days)-median (IQR) 5 (3-9) 

Total hospitalisation days (n) 6785.4  

Admissions with appropriate date of discharge no (%) 583 (68.2%) 

Admissions included inappropriate hospitalization days -no (%) 272 (31.9%) 

Total number of inappropriate hospitalization days  (days)  674  

Mortality- no (%) 29 (3.4%) 

 464 

Table 2: The length of hospital stay according to the primary diagnosis classified according to 465 

ICD-10 466 

The average length of 

hospital stay; Median 

(IQR) 

Total (n= 855) Classification of primary diagnosis according to ICD-10 

6 (3-10) 46 (5.4%) Infectious disease (A00-B99) 

8 (5-14) 18 (2.1%) Neoplasms (C00-D48) 

4 (3-7) 29 (3.4%) Haematological diseases (D50-D89) 

4.5 (3-6) 70 (8.2%) Endocrine, nutritional, and metabolic diseases (E00-E90) 

4 (2-6) 25 (2.9%) Mental and behavioural disorders (F00-F99) 

5 (3.5-8) 44 (5.2%) Diseases of the nervous system (G00-G99) 

3 (2-5) 7 (0.8%) Diseases of the ear and mastoid process (H60-95) 

6 (4-10) 191 (22.4%) Diseases of the circulatory system (I00-I99) 

6 (3-10) 188 (22.0%) Diseases of the respiratory system (J00-J99) 

4 (3.5-7) 60 (7.0%) Diseases of the digestive system (K00-K93) 

7 (3.5-11) 20 (2.3%) Diseases of the skin and subcutaneous tissue (L00-L99) 

https://doi.org/10.1186/1472-6963-9-44


 

 17 

6 (3-16) 12 (1.4%) Diseases of the musculoskeletal system and connective tissue 

(M00-M99) 

6(5-8) 55(6.4%) Diseases of the genitourinary system (N00-N99) 

6(4-8) 69 (8.1%)  Symptoms, signs and abnormal clinical and laboratory findings 

not elsewhere classified (R00-R99) 

5 (2-13) 7 (0.8%) Injury, poisoning and certain other consequences of external 

causes (S00-T98) 

3 (2-5) 13 (1.5%) Factors influencing health status and contact with health 

services (Z00-Z99) 

ICD-10: the 10th revision of the International Statistical Classification of Diseases and Related Health 

Problems 

 

 467 

468 



 

 18 

Table 3: Patients' characteristics and admission data of the most common diagnoses 

Characteristic Pneumonia Heart 

Failure 

Stroke 

& TIA 

Exacerbation 

of chronic 

lung 

diseases* 

Sepsis Drugs & 

alcohol 

Urinary 

Tract 

Infection 

Others P-value 

Admissions 

(Total n=855) 

120 

(14.0%) 

118 

(13.8) 

68 

(8.0%) 

54 (6.3%) 39 

(4.6%) 

36 (4.2%) 35(4.1%) 385 (45.0%)  

Age (years) 68 (43.5-

75) 

70 (61-

77) 

67 (56-

76) 

67.5 (53-76) 75 (64-

84) 

38 (29.5-

47.0) 

71 (48-79) 57 (35-72) 0.0043* 

Female (n) 49 (40.9%) 61 

(51.7%) 

28 

(41.2%) 

31 (57.4%) 17 

(43.6%) 

7(19.4%) 22(62.9%) 186 (48.3%) 0.0034** 

Male (n) 71(59.2%) 57 

(48.3%) 

40 

(58.8%) 

23 (42.6%) 22 

(56.4%) 

29 

(80.6%) 

13(37.1%) 199(51.7%) 0.0034** 

Average Length 

of Hospital stay 

(days) 

6 (3-10) 5.5 (4-9) 5.5 (4-8) 6(3-8) 6 (4-10) 4 (3.0-6.5) 6 (5-8) 5 (3-8) 0.0751* 

Admissions with 

appropriate date 

of discharge (n) 

77 (64.2%) 72 

(61.0%) 

39 

(57.4%) 

31(57.4%) 31 

(79.5%) 

28(77.8%) 20 

(57.1%) 

285(74.0%) 0.0023** 

Admissions with 

inappropriate 

hospital stay (n) 

43 (35.8%) 46 

(39.0%) 

29 

(42.7%) 

23(42.6%) 8 

(20.5%) 

8 (22.2%) 15(42.9%) 11(26.0%) 0.0023** 

Total number 

unnecessary 

hospital stay days 

(n=674 days) 

120 

(17.8%) 

103 

(15.3%) 

72 

(10.7%) 

49 (7.3%) 12 

(1.8%) 

21 (3.1%) 40 (5.9%) 257 (38.1%) 0.0411** 



 

 19 

Average length of 

inappropriate 

hospitalization 

(days) 

2 (1-3) 2 (1-3) 3 (1-3) 2 (1-3) 1(1-2) 2 (1.5-4) 2 (2-3) 2 (1-3.5) 0.0043* 

Mortality (n) 2 (1.7%) 1 (0.9%) 1(1.5%) 0 5 

(12.8%) 

0 0 20 (5.2%) 0.0016** 

TIA: transient ischemic attack. *Chronic obstructive lung disease, interstitial lung disease, bronchiectasis, bronchial asthma. 

*p-value for differences between continuous variables groups using Kruskal–Wallis rank test. 

** p-value  for differences between categorical  variables groups using  chi-square test. 

 

Table 4: Reasons for the inappropriate hospital stay20 

Reasons for the inappropriate hospital stay Total admissions 

n=272 

Awaiting complementary tests 79 (29.0%) 

Awaiting the results of complementary tests 51(18.8%) 

Awaiting surgical procedures 3 (1.1%) 

Awaiting specialist consultations 48 (17.6%) 

Awaiting extra-hospital care to be arranged & unavailable extra-hospital 

resources, including the availability of long-term or palliative care beds or 

rehabilitation 

59 (21.7%) 

Patients awaiting transfer to intensive care or admission to another program 

or in-home care or awaiting transfer to other departments within the same 

hospital 

3 (1.1%) 

Inadequate family support 29 (10.7%)