Background: The clinical outcomes are very important for different pattern of diseases among the hospital admitted patients. Objective: The purpose of the present study was to see the pattern of diseases with their clinical outcomes of hospital admitted patients in the medicine ward at a tertiary care hospital in Dhaka city. Methodology: This cross-sectional study was conducted in the Department of Medicine at Dhaka Medical College Hospital, Dhaka, Bangladesh from March 2003 to June 2003 over a period of 16 weeks. The study population comprised of all patients admitted in the selected Medicine wards during the study period irrespective of age and sex. All admitted patients in the selected wards irrespective of age and sex carefully screened out by examining the patients’ daily hospital records and discharge certificate at the time of their discharge. The different disease pattern of the admitted patients were recorded. Clinical outcome of diseases were categorized cured, referred or deceased. Result: A total number of 124 patients were recruited for this study. Various types of diseases were categorized into 8 groups. Out of 124 respondents 35 (28.2%) patients were suffering from Gastrointestinal and hepatobiliary diseases that topped the list followed by patients with cardiovascular diseases (21.8%). Majority (59.7%) were cured and 15.3% were found to be referred. One fourth of the patients admitted were deceased. Most of the patients (94.4%) had investigations done whereas only a small fraction (5.6%) did not under go any laboratory investigations. Conclusion: In conclusion most of the admitted patients in the medicine unit of hospital are suffering from gastrointestinal and hepatobiliary diseases and majority are cured before discharge from the hospital.
The Global disease pattern is undergoing major changes 1. Forecasts envisage morbidity and mortality burdens still dominated primarily by re-emerging and emerging infectious diseases with the beginning of a shift towards non communicable chronic diseases in the countries of the South-East Asia Region like Bangladesh 2. It should be a great concern for the health planners and the government to provide treatment facilities to all those who are not treated at all, representing 13.1% of all sicknesses, primarily due to paucity of funds at the household level.
Raising the income level of the poor through the provision of gainful employment and other measures, and initiating community health financing projects through the involvement of community in the planning and implementation of the projects, with matching contributions from outside, would greatly reduce the proportion of no treatment cases among the currently sick persons 3. The poor, illiterate, the landless class and marginal farmers, the laboring class and the lower professionals constituting a bulk of the population are the worst suffers under the existing system of health care provision. They suffer from the highest rate of morbidity and from the longest duration of sickness with the lowest prospect for recovery. They have also the highest rate of the sicknesses untreated. It is high time that appropriate measures have been taken at the national and local levels to alleviate the sufferings of the poor with respect to health care by drawing up special programs for them on health care, water supply, sanitation, nutrition, education and on generation of income and employment, with the active involvement of the non-government organizations, local governments, politicians, national and local leadership, civil administration and bureaucrats at all levels of all related ministries including the ministry of health and family welfare 4.
The health situation of the South-East Asia Region today and in the future is determined by many factors including aging and geographical distribution of the population, poverty and economic progress, education and literacy levels, and infrastructure, functioning and interventions of the health care system 5. Along with a slow decline of death rates and gradual increase in life expectancy, the process of epidemiological transition is under way in most countries. Communicable diseases are gradually being replaced by chronic and degenerative conditions which in some countries are becoming the main causes of death and morbidity 6. Countries of the region are thus bearing the double burden of both communicable and non-communicable diseases. The purpose of the present study was to see the pattern of diseases with their clinical outcomes of hospital admitted patients in the medicine ward at a tertiary care hospital in Dhaka city.
This was a descriptive cross sectional study. The Dhaka Medical College Hospital was chosen purposively for this study. This tertiary level referral specialized hospital provides emergency, indoor and outdoor patient care. The Department of Medicine constitutes 5 units in which patients are admitted under 5 separate professors. There are 5 general wards, with each ward having 28 beds. For female patients there are two separate wards, each having 28 beds. However, for the convenience, only a selected number of wards had been chosen for data collection. Other reasons for selecting the study place were time and economic constraints, the interest and convenience of the researcher, relatively better co-operation from the selected wards and location of the hospital. The study was conducted over a period of 16 weeks starting from March 2003 to June 2003. First 2 weeks were taken for selection of topics and formulation of hypothesis and objective. Following 4 weeks were utilized for reviewing literature and building of data collection instrument. Data were collected during next 4 weeks. Analysis, compilation and interpretation of data were done by computer during next 3 weeks and last 3 weeks were spent for fresh typing, binding and submission of the dissertation. The study population comprised of all patients admitted in the selected Medicine wards during the study period irrespective of age and sex. Sample size was determined purposively according to the researcher's own convenience. No statistical sampling technique was applied to select sample for the study. All admitted patients in the selected wards irrespective of age and sex carefully screened out by examining the patients' daily hospital records and discharge certificate at the time of their discharge. All patients who got discharged by DOR (discharge on request) and DORB (discharge on risk bond) were excluded from selecting as sample. One interviewer-administered questionnaire was prepared by the researcher and was checked by the supervisor for data collection. The questionnaire was duly pre-tested and was used. A checklist was used to collect information regarding treatments and clinical outcome of the discharging patients their history and treatment sheet and discharge certificates. By scrutinizing the medical history sheets, interview, observation and after careful consultation with the respective AR (assistant registrar) of the selected wards patients were chosen. The purpose of the study was explained to the respondents prior to collection of data. The collected data were checked and verified to exclude any error or inconsistency and then compiled, tabulated, analyzed and processed with help of SPSS, MS Word and MS Excel software. The important variables were considered for analyzing data to fulfill objectives of the study. Clinical outcome of diseases were categorized for the convenience of the researcher in to three categories which were cured and these patients were discharged after recovery with normal procedure. Excluding those who were discharged on request (DOR) or on risk bond (DORB) before recovering from illness or those who were referred to other places or deceased who expired while admitted.
Various types of diseases were categorized into 8 groups. Out of 124 respondents 35 (28.2%) patients were suffering from Gastrointestinal and hepatobiliary diseases that topped the list followed by patients with cardiovascular diseases (21.8%). The relatively low prevalence of respiratory tract diseases probably due to the fact that the study was carried out in the summer (Table 1).
Majority (59.7%) were cured and 15.3% were found to be referred. One fourth of the patients admitted were deceased (Table 2).
Most of the patients (94.4%) had investigations done whereas only a small fraction (5.6%) did not under go any laboratory investigations. Among the patients investigated most were suffering from diseases of cardiovascular and respiratory, and gastro-intestinal and hepato-biliary system (Table 3).
Majority of the total population of Dhaka City attends to this hospital when they become sick 6. As a result, the demand for bed is rising. A second hospital DMCH 2 has been constructed, which has 500 beds and about 2000 to 2500 patients get treatment from the outdoors of the hospital daily 7. DMCH has almost all the disciplines of modern medical science. The department of medicine (Indoor) comprises of 5 units during the study period and each unit is under a professor comprising of 6 wards. Each ward is consisting of 28 general beds with 5 paying beds.
In this study various types of diseases are categorized into 8 groups. A total number of 124 patients were recruited in this study. Out of 124 respondents 35(28.2%) patients are suffering from Gastro-intestinal and hepatobiliary diseases that are topped the list followed by patients with cardiovascular diseases (21.8%). The relatively low prevalence of respiratory tract diseases is probably due to the fact that the study has been carried out in the summer season.
Regarding the clinical outcome of diseases majority (59.7%) were cured and 15.3% were found to be referred. One fourth of the patients admitted are deceased. This depicts high mortality rate in DMCH. The mortality rate is highest among the patients of infectious diseases (73.3%) on the other hand majority of the patients suffering from respiratory tract diseases (80.0%) have been cured. Most of the patients (94.4%) have advised for investigations whereas only a small fraction (5.6%) are undergone any laboratory investigations. Among the investigated patients most are suffering from diseases of cardiovascular and respiratory, and gastro-intestinal and hepato-biliary system. In the community the pattern of diseases is not usually constant. It is said that every decade produces its own pattern of diseases. In 1900, the leading causes of death were pneumonia and influenza (11.8%), tuberculosis (11.3%), diarrhea and enteritis (8.3%), and heart diseases (8%), CVD (6.2%), and accidents (4.2%). After 80 years, the trend has been changed dramatically like heart disease (38.3%), Cancer (22.0%), CVD (8.0%), accident (4.8%), pneumonia and influenza (2.5%). This proves that communicable diseases have declined and have been replaced by non-communicable diseases 8.
Based on available information WHO estimates that about one-third are due to infectious and parasitic diseases such as acute lower respiratory diseases, tuberculosis, diarrhea, HIV/AIDS and malaria 8; 29.0% cases are due to circulatory diseases such as coronary heart disease and cerebrovascular diseases and about 12 cases are due to cancers 9. While deaths due to circulatory diseases has been declined from 51.0% to 46.0% of total deaths in the developed world, they have been increased from 16.0% to 24.0% of total deaths in the developing world 10. Cancer deaths increased from 6.0% to 9.0% of total deaths in the developing world but they formed a constant proportion of 21.0% of total deaths in the developed world 11. Infectious and parasitic diseases decreased from 5.0% to 1.0% of total deaths in the developed world and from 45% to 43% of total deaths in the developing world 12. This confirms earlier findings that non-communicable diseases are emerging as a major killer in the developing countries does as well.
It is anticipated that in the next two decades a considerable change in the health needs of the people of the world will pose serious challenges to the health care systems, including the allocation of resources 13. The considerable gaps in the availability of data in many countries have also become a big handicap in assessing national priorities. To bridge this gap, researchers at the Harvard School of Public Health and WHO with the assistance of over 100 collaborations from around the world, produced a comprehensive set of estimates for all estimates of patterns of mortality and disability from diseases and injuries for all regions of the world with projections to the year 2020 14. This five-year effort resulted in the production of a series of publications on The Global Burden of Disease and Injury (GBD) which provides policy makers with their first comprehensive picture of the world's current and future health needs.
The current pattern of diseases among the patients attending static health facilities and their clinical outcome reflects the morbidity and mortality pattern in the community concerned 10. It also indicates the quality of operational management in health facilities. Study of the clinical outcome of admitted patients reflects the effectiveness of treatment too. Requirements for different types of drugs and the mode of their supply by periods of time can also be determined on the basis of disease profiles 9.
It is quite apparent that there are major changes in the ranking order 15. Thus, while lower respiratory infections, diarrhoeal diseases and conditions arising during the perinatal period have occupied the first three positions in the rank order of disease burden for 15 leading causes globally, they are relegated to 6th, 9th and 11th positions respectively in the rank order according to the projections made for the year 2020 16. On the other hand, non-communicable diseases, such as ischaemic heart disease, unipolar major depression and cerebrovascular diseases, are projected to occupy the 1st, 2nd, and 4th positions respectively in 2020. Road traffic accidents will figure prominently in the global disease burden rising from 9th position in 1990 to 3rd rank in 2020 17. Tuberculosis will maintain its rank in 2020 too, emphasizing its continued threat, especially to the young adults in the coming decades; furthermore, specific diseases like measles and malaria are not expected to figure prominently as leading causes of the global disease burden 18.
In conclusion most of the admitted patients in the medicine unit of hospital are suffering from gastrointestinal and hepatobiliary diseases followed by cardiovascular diseases and Neuro-muscular & endocrine diseases. Furthermore, majority are cured before discharge from the hospital. It has been recommended that a large scale study should be conducted in multicenter basis.
| [1] | Institute for Health Metrics and Evaluation (IHME). Findings from the Global Burden of Disease Study 2017. Seattle, WA: IHME, 2018. | ||
| In article | |||
| [2] | Mensah GA, Roth GA, Fuster V. The Global Burden of Cardiovascular Diseases and Risk Factors: 2020 and Beyond. | ||
| In article | |||
| [3] | Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. The lancet. 2018 Nov 10; 392(10159): 684-735. | ||
| In article | |||
| [4] | Jeemon P, Mini GK, Thankappan KR, Sylaja P. GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. | ||
| In article | |||
| [5] | Mokdad AH, Mensah GA, Krish V, Glenn SD, Miller-Petrie MK, Lopez AD, Murray CJ. Global, regional, national, and subnational big data to inform health equity research: perspectives from the Global Burden of Disease Study 2017. Ethnicity & disease. 2019 Feb 21; 29(Suppl 1): 159-72. | ||
| In article | View Article | ||
| [6] | Kadel R. Global, regional, and national under-five mortality, adult mortality, age-specific mortality, and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018 Nov 10; 392(10159): 1684-735. | ||
| In article | |||
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| In article | |||
| [8] | Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany EC, Abate KH, Abbafati C, Abebe Z, Afarideh M. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2019 May 11; 393(10184): 1958-72. | ||
| In article | |||
| [9] | Bloom DE, Cafiero E, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, Feigl AB, Gaziano T, Hamandi A, Mowafi M, O’Farrell D. The global economic burden of noncommunicable diseases. Program on the Global Demography of Aging; 2012 Jan. | ||
| In article | |||
| [10] | Lopez AD, Murray CC. The global burden of disease, 1990–2020. Nature medicine. 1998 Nov; 4(11): 1241. | ||
| In article | View Article PubMed | ||
| [11] | Lawes CM, Vander Hoorn S, Rodgers A. Global burden of blood-pressure-related disease, 2001. The Lancet. 2008 May 3; 371(9623): 1513-8. | ||
| In article | View Article | ||
| [12] | Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ, editors. Global burden of disease and risk factors. The World Bank; 2006 Apr 2. | ||
| In article | View Article | ||
| [13] | Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. The Lancet. 2013 Nov 9; 382(9904): 1575-86. | ||
| In article | View Article | ||
| [14] | Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, Mensah GA, Norrving B, Shiue I, Ng M, Estep K. Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet Neurology. 2016 Aug 1; 15(9): 913-24. | ||
| In article | View Article | ||
| [15] | Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, Vos T, Whiteford HA. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS medicine. 2013 Nov 5; 10(11): e1001547. | ||
| In article | View Article PubMed | ||
| [16] | Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. The Lancet. 1997 May 24; 349(9064): 1498-504. | ||
| In article | View Article | ||
| [17] | Murray CJ, Lopez AD. Evidence-based health policy--lessons from the Global Burden of Disease Study. Science. 1996 Nov 1; 274(5288): 740-3. | ||
| In article | View Article PubMed | ||
| [18] | Rehm J, Taylor B, Room R. Global burden of disease from alcohol, illicit drugs and tobacco. Drug and alcohol review. 2006 Nov; 25(6): 503-13. | ||
| In article | View Article PubMed | ||
Published with license by Science and Education Publishing, Copyright © 2021 Qazi Hena Ferdousi, Selim Reza, Rafia Akhter, Mahibun Nahar, Nawaz Mohsin Ismail Yousuf and Md. Abdullah Yusuf
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| [1] | Institute for Health Metrics and Evaluation (IHME). Findings from the Global Burden of Disease Study 2017. Seattle, WA: IHME, 2018. | ||
| In article | |||
| [2] | Mensah GA, Roth GA, Fuster V. The Global Burden of Cardiovascular Diseases and Risk Factors: 2020 and Beyond. | ||
| In article | |||
| [3] | Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017. The lancet. 2018 Nov 10; 392(10159): 684-735. | ||
| In article | |||
| [4] | Jeemon P, Mini GK, Thankappan KR, Sylaja P. GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. | ||
| In article | |||
| [5] | Mokdad AH, Mensah GA, Krish V, Glenn SD, Miller-Petrie MK, Lopez AD, Murray CJ. Global, regional, national, and subnational big data to inform health equity research: perspectives from the Global Burden of Disease Study 2017. Ethnicity & disease. 2019 Feb 21; 29(Suppl 1): 159-72. | ||
| In article | View Article | ||
| [6] | Kadel R. Global, regional, and national under-five mortality, adult mortality, age-specific mortality, and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018 Nov 10; 392(10159): 1684-735. | ||
| In article | |||
| [7] | Monasta L, Ronfani L, Gallus S, Beghi E, Giussani G, Bosetti C, Cortinovis M, Bikbov B, Perico N, Remuzzi G, GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017. The Lancet. 2018 Nov 10; 392(10159): 1684-735. | ||
| In article | |||
| [8] | Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany EC, Abate KH, Abbafati C, Abebe Z, Afarideh M. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2019 May 11; 393(10184): 1958-72. | ||
| In article | |||
| [9] | Bloom DE, Cafiero E, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, Feigl AB, Gaziano T, Hamandi A, Mowafi M, O’Farrell D. The global economic burden of noncommunicable diseases. Program on the Global Demography of Aging; 2012 Jan. | ||
| In article | |||
| [10] | Lopez AD, Murray CC. The global burden of disease, 1990–2020. Nature medicine. 1998 Nov; 4(11): 1241. | ||
| In article | View Article PubMed | ||
| [11] | Lawes CM, Vander Hoorn S, Rodgers A. Global burden of blood-pressure-related disease, 2001. The Lancet. 2008 May 3; 371(9623): 1513-8. | ||
| In article | View Article | ||
| [12] | Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ, editors. Global burden of disease and risk factors. The World Bank; 2006 Apr 2. | ||
| In article | View Article | ||
| [13] | Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. The Lancet. 2013 Nov 9; 382(9904): 1575-86. | ||
| In article | View Article | ||
| [14] | Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, Mensah GA, Norrving B, Shiue I, Ng M, Estep K. Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet Neurology. 2016 Aug 1; 15(9): 913-24. | ||
| In article | View Article | ||
| [15] | Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, Vos T, Whiteford HA. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS medicine. 2013 Nov 5; 10(11): e1001547. | ||
| In article | View Article PubMed | ||
| [16] | Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. The Lancet. 1997 May 24; 349(9064): 1498-504. | ||
| In article | View Article | ||
| [17] | Murray CJ, Lopez AD. Evidence-based health policy--lessons from the Global Burden of Disease Study. Science. 1996 Nov 1; 274(5288): 740-3. | ||
| In article | View Article PubMed | ||
| [18] | Rehm J, Taylor B, Room R. Global burden of disease from alcohol, illicit drugs and tobacco. Drug and alcohol review. 2006 Nov; 25(6): 503-13. | ||
| In article | View Article PubMed | ||