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. 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BMC Health Serv Res. 460 2009;9:44.https://doi.org/10.1186/1472-6963-9-44 461 462 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%)