A Study of Morbidity Pattern in Indoor Patients in a Tertiary Care Hospital in Lucknow
Keywords:
Hopitalisation, IPD, Morbidity, MortalityAbstract
Introduction-Health statistics decide the foundation and course of health policies and programs. Indicators such as the Birth Rate, Death Rate, Life Expectancy at Birth, Morbidity/Mortality patterns etc. reveal the extent and nature of the health problems in the community and thus assists in establishment of the priorities for policy planning and implementation. The present study is being done to assess the morbidity pattern in indoor patients in a tertiary care hospital.
Materials & methods- A cross sectional study done in a tertiary care hospital with sample size of 4511.
Results- the study found out that maximum patient (44.4%) were admitted under Chapter I i.e. certain infectious and parasitic diseases and 72% of hospital admissions were accounted for by 12 common causes of morbidity. The results of our study were comparable with other studies, differences being there due to limitation of our study being limited to IPD patients.
Conclusion-Leading causes of morbidity in all ages and both sexes which require hospitalization are acute infectious diseases.
References
World Health Organization. International statistical classifi-cation of diseases and related health problems. Tenth Revi-sion. Volume 2 Instruction manual. 2nd ed. Geneva: World Health Organization; 2004.
Ministry Of Health and Family Welfare, Government of In-dia, New Delhi. National Comission on Macroeconomics and Health Background Papers 2005- Burden of Disease in India, [cited 2009 Feb 25]; Available from: URL: http://www.who.int/macrohealth/action/NCMH_Burden%20of%20 disease_(29%20sep%202005).pdf.
The Global Burden of Disease 2004 Update WHO [cited 2009 March 17]; Available from: URL: http://www.who.int/healthinfo/global_burden_ dis-ease/GBDreport_2004update_full.pdf.
Lamichhane DC, Giri BR, Pathak OK, et al. Morbidity pro-file and prescribing patterns among outpatients in a teach-ing hospital in western Nepal. Mcgill J Med 2006; 9: 126-133.
Adebusoye LA, Ladipo MM, Owoaje ET, et al. Morbidity pattern amongst elderly patients presenting at a primary care clinic in Nigeria.Afr J Prm Health Care Fam Med. 2009; 3. [cited 2009 Aug 23]; Available from: URL:www.phcfm.org/index.php/phcfm/article/view/211.
Prakash R, Choudhary SK, Singh US. A Study of Morbidity Pattern among Geriatric Population in an Urban Area of Udaipur Rajasthan. Indian J Community Med 2004; 29: 1-3.
Sabde YD, Zodpey SP. A Study of Morbidity Pattern in Street Sweepers: A Cross Sectional Study. Indian J Commu-nity Med 2008; 33: 224-228.
Bansal R, Goel NK, Luthra SC, et al. Rapid appraisal of morbidity pattern in a community with the help of local health functionaries. Health Administrator 2000; 9&10: 57-60. Available from: URL: http://medind.nic.in.
Lagdir Gaikwad, Santosh Haralkar.Morbidity Profile and Seasonal Variations of Communicable Diseases among Hospitalized Patient in a Teaching Hospital Solapur (Maha-rashtra), India. SSRG International Journal of Medical Sci-ence (SSRG-IJMS) – volume 2 Issue 6 June 2015.
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