Literature DB >> 32874080

Magnitude and Pattern of Inpatient Surgical Mortality in a Tertiary Hospital in Addis Ababa, Ethiopia.

Firaol Dandena1, Belayneh Leulseged2, Yisihak Suga3, Berhanetsehay Teklewold3.   

Abstract

BACKGROUND: Inpatient mortality is among regularly collected data in Key performance indicators in the Ethiopian healthcare system, and it is generally reported to the Federal Ministry of Health and is used as one of inpatient services quality indicators. This study was undertaken to identify the magnitude, causes and pattern of mortalities among patients who are admitted and treated in surgical wards in Saint Paul Hospital Millennium Medical College for a period of three years.
METHODS: A retrospective review was done on all patients admitted and died in the Department of Surgery in St. Paul's Hospital Millennium Medical College from January 1, 2016-Dec 30, 2018. RESULT: There were 10,259 admissions over three years and out of which there were 350 deaths between 2016-2018 making a crude mortality rate of 3.41 %. The commonest mode of admission was for emergency conditions, 195(62.7%). Out of emergency admissions, 139 mortalities were from general emergency surgery and 75 patients died from elective general surgery admissions. Eighty-four (26.9%) patients had comorbidity and the commonest comorbidity was anemia 21(25%). The commonest possible cause of death was multi-organ failure secondary to septic shock, 159(51%). Mortality rate patterns along the three years (2016, 2017, 2018) showed 3.34% (112/3360), 2.87% (102/3552) and 2.92% (98/3347) respectively.
CONCLUSION: The mortality rate of this study is much higher than global rates, but still there is a significant difference from other developing countries and also other researches in this country. Pattern of mortality did not show any difference across years of the study period.
© 2020 Firaol Dendena, et al.

Entities:  

Keywords:  Inpatient mortality; pattern; surgical mortality

Mesh:

Year:  2020        PMID: 32874080      PMCID: PMC7445947          DOI: 10.4314/ejhs.v30i3.8

Source DB:  PubMed          Journal:  Ethiop J Health Sci        ISSN: 1029-1857


Introduction

Surgical care is an integral part of healthcare throughout the world with an estimated 234 million operations performed annually. Approximately 4,000 surgical procedures per 100,000 populations in many countries and up to 11,000 procedures per 100,000 populations are carried out in high volume countries annually. Although surgical care can improve the quality of life and prevent loss of life or limb, it is also associated with considerable risk of complications and death (1). The Lancet Commission on Global Surgery has established six indicators to indicate the success of providing access to safe and affordable surgery one of which is inpatient surgical mortality (2). Morbidities and mortalities in surgery are common scenarios seen by surgeons and other healthcare providers along with their practice. Hospitals and departments in particular regularly analyze reports in mortalities to know possible causes and factors associated with it to devise strategies to prevent or to minimize this from happening (3). Surgical mortalities occur for several reasons, and a study of causes and patterns may help in bridging the knowledge gap in the surgical setting. It can also identify areas that require more improvement, practice modification and policy formulations (4). The global incidence of postoperative mortality is estimated to be 4%, but data describing surgical outcomes in developing countries like ours are few. Though unconfirmed, it is believed that perioperative mortality is significantly high in African setups (5,6). African surgical outcomes study (ASOS) has shown that, though patients in Africa are fortunate enough to access surgical care, the patient outcomes following surgery are relatively poor. ASOS demonstrated that African surgical patients were twice as likely to die following surgery when compared to the global average, despite a similar complication rate to the global average (7). Incidence of postoperative mortality in neighboring countries as to the reports in few researches is considerably high ranging from 5.09% to 9.14% in Nigeria (8, 9). Only one research was found in Ethiopia, which describes postoperative mortality in Black Lion Hospital to be 7% (10).Therefore, this study tried to assess the magnitude and patterns of mortality on patients who died at surgical wards in St Paul's Hospital Millennium Medical College from January 1, 2016, to Dec 30, 2018. The result of this study thus will help in understanding the magnitude of death in surgical wards and its pattern along years. All patients who were admitted to either general surgery, urology or pediatric surgery units were included in the study. Mortality count includes those who were treated either by operation or non-operatively. Surgical mortalities in other departments other than the three mentioned are not included in the study. The findings of the study will help in improving quality in surgical care by identifying possible causes of death

Methods

Study area: This study was conducted at St Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia. This hospital is located at the northwest of Addis Ababa and it is one of the largest tertiary hospitals in the city. It has many catchment area health centers from where different complicated cases are referred. The Department of Surgery is among the bigger departments in the hospital with 90 beds for inpatient care; it also gives outpatient surgical services. Department of Surgery in Saint Paul is organized in three units with the largest being general surgery and two other units are urology and pediatrics surgery with their respective wards, staff, and operative services. Department of Neurosurgery and Orthopedics which were part of the general surgery are currently located in other trauma specialized center in Addis Ababa before the last four years. Study period Data of mortality from January 1, 2016, to Dec 30, 2018 among surgical patients were collected from February 4, 2019, to March 13, 2019. Study design: We conducted retrospective review of patients' records who died in the department of surgery between January 1, 2016, to Dec 30, 2018. Study population: All patients who were admitted and died at surgical wards from January 1, 2016, to Dec 30, 2018 were included in the study. Exclusion criteria: Incomplete Information in ward registration books such as cause of death and All patients who died in emergency units though diagnosed to have surgical pathology but who were not admitted to surgical wards were excluded. Mortalities in other departments other than the three units were not included in the study. Sample size: Single population proportion and 95% confidence level, margin of error 5% and unknown proportion was used to get maximum sample size. Three years' mortality was collected to get this size and therefore all patients who died at surgical wards from January 1, 2016, to Dec 30, 2018 were included in the study and the sample size was 350. Data collection tool and procedures: The Data were extracted from ward registration books of patients admitted to the surgical wards, OR logbooks and department monthly morbidity and mortality reports. Collected data were crosschecked with the hospital HMIS report. Extracted data included age, gender, ethnicity, religion and address, surgical diagnosis, co-morbid conditions, type of admissions, the procedure performed, and events leading to death, dates of death and possible cause of death. All the above data was recorded on a prepared format which was adapted from infection classification of disease (ICD). Data analysis: Data were coded, entered and cleaned using SPSS version 24 software package by the principal investigator. Simple descriptive statistics such as frequencies distribution were done as appropriate, and the result was presented in tables and graphs. Ethical consideration Ethical clearance was obtained from the Institutional Review Board (IRB) of St. Paul's Hospital Millennium Medical College. The personal information of study participants was kept entirely anonymous, and confidentiality was assured throughout the study period. The data was used only for the purpose of the study.

Results

Socio-demographic profile: Between the 3-year study period (January 1/2016 to Dec 30, 2018), there were 10,259 surgical admissions in the Department of Surgery, and 38% of all these admissions was for emergency conditions. Among this, a total of 350 patients died in the study period. From these mortalities, 37 patients' charts were excluded for incompleteness yielding 312 deaths with crude mortality rate being 3.41% (350/10259). Out of 312 dead patients, 204(66.6%) were males and 108(33.4 %) were females with male to female ratio of 2:1. The majority of mortalities were among the age group of between 25 to 54 which accounts for 120(38.4%), followed by age groups above 65 years 98(31.4%) and the least percentage of mortality was seen in the age groups less than 14 years of age 10(3.2%). The proportion of patients from rural and urban areas was comparable 154(49.4%) and 158(50.6%) respectively (Table 1).
Table 1

Sociodemographic characteristics of patients who died at surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018(n=312)

VariablesCategoryFrequencyPercent (%)
Age0–14103.2
15–24247.6
25–5412038.4
55–646019.2
65+9831.4
Total312100
SexMale20465.4
Female10834.6
AddressUrban15850.6
Rural15449.4
Sociodemographic characteristics of patients who died at surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018(n=312) Clinical profile: The commonest mode of admission was for emergency surgical conditions 195(62.5%) and 117(37.3%) patients were admitted for elective procedures. Mortality among emergency admissions was 5% (195/3898). Out of the total mortalities, general surgery accounted for 214(68.6%) and 83(26.6%), and 15(4.8%) deaths were of urologic and paediatric pathology respectively. Mortality rates at three of the units in the ward (general surgery, urology, paediatrics) units showed 3.26% (214/6562), 3.83% (83/2165), 0.98% (15/1532) respectively. Out of mortalities in general surgery, the majority of deaths, 64.9 % (139/214), were admitted on emergency bases and the commonest cause of emergency admission was intestinal obstruction, 42(19.6%), followed by peritonitis 36(16.8%). Out of the total, 75 (35%) death accounted for elective General surgery and hepatobiliary pathology was the commonest admission diagnosis in 35(46.7%), followed by colo-rectal pathology 12(16%) (Table 2).
Table 2

General surgery admission diagnosis of patients who died at general surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=214)

General surgery admissionDiagnosisFrequencyPercent (%) n=214
ElectiveHepatobiliary Pathology3516.3
Colo-rectal cancer125.6
Gastric cancer73.3
Benign perianal conditions41.9
Hernia20.9
colostomy reversal20.9
pancreatic cancer20.9
psoas abscess20.9
Retroperitoneal mass20.9
others*73.2
Total7535
Intestinal obstruction4219.6
EmergencyPeritonitis3616.8
Hepatobiliary Infections198.9
post-op complication73.3
Abdominal injury73.3
Appendicitis & complication73.3
Fournier gangrene83.7
Entro -cutaneous fistula73.3
Intra-abdominal bleeding20.9
Others**41.9
Total13965

Others oesophageal cancer, gangrene, gluteal abscess, liver abscess, scrotal abscess, splenic abscess and gangrene

Others bladder rupture, eviscerated bowel, retained foreign body and upper airway obstruction

General surgery admission diagnosis of patients who died at general surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=214) Others oesophageal cancer, gangrene, gluteal abscess, liver abscess, scrotal abscess, splenic abscess and gangrene Others bladder rupture, eviscerated bowel, retained foreign body and upper airway obstruction Out of 15 deaths in pediatrics surgery, 8(53.3%) were admitted for pediatrics elective surgery and 7(46.7%) were admitted for pediatrics emergency (Table 3).
Table 3

Paediatrics surgical patients who died at pediatrics surgical ward, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=15)

Pediatric admissionDiagnosisFrequencyPercent (%)n=15
ElectiveInfantile hypertrophic pyloric stenosis (IHPS)426.7
Hirshusprungs disease (HD)426.7
EmergencyAppendicitis and its complications320
Bowel obstruction426.7
Paediatrics surgical patients who died at pediatrics surgical ward, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=15) Out of 83 mortalities in the urology unit, 46(56%) deaths were admitted for emergency and 36(44%) were elective (Table 4). Only 84(26.9%) deaths had comorbidity out of all deaths and the commonest comorbidity identified out of those with comorbidity was anemia, 21(25%), (Table 5).
Table 4

Urology surgical patients who died at urology ward, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=83)

Urologic admissionDiagnosisFrequencyPercent (%)n=83
ElectiveBenign prostatic hyperplasia(BPH)2024
Stone disease56
Urethral stricture44.8
Bladder tumor44.8
Renal cell carcinoma22.4
Total3542.2
EmergencyUrosepsis78.4
Acute urinary retention(AUR)1416.9
Obstructive uropathy2732.5
Total4857.8
Table 5

Frequency of comorbidity of patients who died at surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (N=84)

ComorbidityFrequencyPercent (%)
Anemia2125
Hypertension1821.4
Diabetes Mellitus1619
Chronic Kidney Disease1113.1
Retro Viral Infection1113.1
Asthma44.8
Acute kidney injury22.4
pneumonia11.2
Total84100
Urology surgical patients who died at urology ward, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (n=83) Frequency of comorbidity of patients who died at surgical wards, SPHMMC from January 1/2016 to Dec 30, 2018 G.C (N=84) The commonest causes of mortalities identified were multi-organ failure secondary to septic shock, 159(51%), respiratory failure, 56(16.3%), massive venous thromboembolism, 30(9.0%), sudden cardiac arrest, 28(8.4%), and Uremia, 8(2.4%) (Figure 1). Mortality trends along the three years showed 3.33% (112/3360), 2.87 % (102/3552) and 2.92% (98/3347) respectively.
Figure 1

Possible Cause of death of patients who died at surgical wards, SPHMMC from January 1/2016–Dec 30, 2019.

Possible Cause of death of patients who died at surgical wards, SPHMMC from January 1/2016–Dec 30, 2019.

Discussion

Surgical inpatient mortalities in our study included all patients who were admitted to surgical wards and managed both operatively and non-operatively. Surgical procedures performed in neurosurgery and burn units were not included in our study because patients who needed such procedures were referred to another affiliate center, which is located away from the hospital where the study was done. Exclusion of such patients greatly affects mortality burden and pattern as deaths related especially to head injury are missed. The surgical mortality rate over the three years period of this study was 3.41%, which is relatively low compared to other reports from similar studies in Africa which show the higher rate of mortality ranging from 5.09% to 9.14% in Nigeria (8,9,11,12) which is more than twice the rate our study revealed. The study in Black Lion Hospital in Ethiopia, which is one of the tertiary hospitals in the country, also showed rate of 7% (10) which again is twice our result but the reason can be the inclusion of neurosurgical patients in their study which our study does not include. This might have affected the magnitude of the death and also patients with burn injury are not included in our study as these patients are not managed in the department of surgery in the study period. However when compared to the rates in developed countries, our result shows significantly high number. Studies showed that mortality rates lie between 0.4% and 0.8% in developed countries (13). Emergency procedures are known to be associated with higher mortality which can be as high as 5.8% when compared to elective which is less than 1 percent according to findings from Ingraham et.al (14). Some of the reasons described for such high figures were inadequate resuscitation time, physiologic derangement of patients and the like. In our study also, the majority of mortalities were from emergency admission (5%). Mortalities during an emergency can be minimized with proper resuscitation, preoperative preparation of patients before the operative procedure, timely decision on surgical intervention and meticulous follow-up of sterility techniques to reduce infections postoperatively. Only 27% of the patients had comorbidity in our study, but similar studies in Australia and Brazil showed significantly high percentage of comorbidity (91%) that have highly increased the risk of death(11,15). Reason for such huge discrepancy can be attributed to differences in mean age groups and associated advances in healthcare technology in developed countries that helps greatly in preoperative screenings. Among the comorbidities mentioned, anemia accounted for one-fourth, which is also similar to the study done in Brazil by Stahlschmidt A et.al (16). Trends along the three years in our study do not show a reduction in crude mortality rates. Except for mortalities in pediatrics, mortality rates in general surgery and urology are comparable across the years. The mortalities observed in all units are described as gross and it is difficult for surgeons to learn from such figures, as this does not differentiate mortalities related to specific causes. Mortalities should also be adjusted to reflect nonviable and viable patient mortalities as reported by researches done to standardize mortalities. Data presented in such a way would help surgeons and physicians who are seeking ways of improving the services provided to surgical patients (17). In conclusion, the mortality rate of this study is much higher than global rates, but still, there is a significant difference from other developing countries or other researches in this country. Acute abdomen is a major contributor to mortality among our surgical inpatients and septicemia is the most common cause of death. Over the study period, no reduction in death rate was observed. The finding of this research will highlight the importance of doing further research in identifying standardized mortality ratios to correctly compare with other similar studies.
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Authors:  Angela M Ingraham; Mark E Cohen; Mehul V Raval; Clifford Y Ko; Avery B Nathens
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Authors:  Thomas G Weiser; Scott E Regenbogen; Katherine D Thompson; Alex B Haynes; Stuart R Lipsitz; William R Berry; Atul A Gawande
Journal:  Lancet       Date:  2008-06-24       Impact factor: 79.321

3.  Perioperative patient outcomes in the African Surgical Outcomes Study: a 7-day prospective observational cohort study.

Authors:  Bruce M Biccard; Thandinkosi E Madiba; Hyla-Louise Kluyts; Dolly M Munlemvo; Farai D Madzimbamuto; Apollo Basenero; Christina S Gordon; Coulibaly Youssouf; Sylvia R Rakotoarison; Veekash Gobin; Ahmadou L Samateh; Chaibou M Sani; Akinyinka O Omigbodun; Simbo D Amanor-Boadu; Janat T Tumukunde; Tonya M Esterhuizen; Yannick Le Manach; Patrice Forget; Abdulaziz M Elkhogia; Ryad M Mehyaoui; Eugene Zoumeno; Gabriel Ndayisaba; Henry Ndasi; Andrew K N Ndonga; Zipporah W W Ngumi; Ushmah P Patel; Daniel Zemenfes Ashebir; Akwasi A K Antwi-Kusi; Bernard Mbwele; Hamza Doles Sama; Mahmoud Elfiky; Maher A Fawzy; Rupert M Pearse
Journal:  Lancet       Date:  2018-01-03       Impact factor: 79.321

4.  Mortality Pattern of Hospitalized Surgical Patients in a Nigerian Tertiary Hospital.

Authors:  Ndubuisi O C Onyemaechi; Sunday O Popoola; Alexander Schuh; Alex T Iorbo; Itodo C Elachi; Kehinde S Oluwadiya
Journal:  Indian J Surg       Date:  2014-02-27       Impact factor: 0.656

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Review 6.  Mortality pattern in surgical wards of a university teaching hospital in southwest Nigeria: a review.

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7.  Surgical Mortality Audit-lessons Learned in a Developing Nation.

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8.  In-patient surgical mortality in Tikur Anbessa Hospital: a five-year review.

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Review 10.  Global Surgery 2030: a roadmap for high income country actors.

Authors:  Joshua S Ng-Kamstra; Sarah L M Greenberg; Fizan Abdullah; Vanda Amado; Geoffrey A Anderson; Matchecane Cossa; Ainhoa Costas-Chavarri; Justine Davies; Haile T Debas; George S M Dyer; Sarnai Erdene; Paul E Farmer; Amber Gaumnitz; Lars Hagander; Adil Haider; Andrew J M Leather; Yihan Lin; Robert Marten; Jeffrey T Marvin; Craig D McClain; John G Meara; Mira Meheš; Charles Mock; Swagoto Mukhopadhyay; Sergelen Orgoi; Timothy Prestero; Raymond R Price; Nakul P Raykar; Johanna N Riesel; Robert Riviello; Stephen M Rudy; Saurabh Saluja; Richard Sullivan; John L Tarpley; Robert H Taylor; Louis-Franck Telemaque; Gabriel Toma; Asha Varghese; Melanie Walker; Gavin Yamey; Mark G Shrime
Journal:  BMJ Glob Health       Date:  2016-04-06
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