Morbidity Indicators
Muhammad Akram*, Prodip Kumar Baral, Momina Iftikhar, Shahzaib Ramzan, Qandeel Naseer, Tansif Ur Rehman, Francisco Garcia-Sierra, Riadh S Al-Malki, Fethi Ahmet Ozdemir, Gaweł Sołowski, Najmiatul Fitria, Marcos Altable and Adonis Sfera
ABSTRACT
Morbidity indicators are crucial for determining how well people are doing, keeping an eye on illness trends, and gauging how well healthcare measures are working. These indicators aid in determining the illness burden and direct public health initiatives. This review looks at morbidity indicators and how they are used in healthcare management, how they are gathered, and how they affect public health policy. Examine the application of morbidity indicators in health care, investigate how they affect illness surveillance and resource distribution, and assess how well they work to improve health results. This review compiles the findings of contemporary research on morbidity indicators from case studies, public health reports, and studies. The definition and classification of morbidity indicators, the collection and analysis of data, and the application of these indicators in various healthcare settings are all significant subjects. Important information on the prevalence and effects of diseases can be gleaned from morbidity indicators. Disability-adjusted life years (DALYs), incidence rates, and prevalence rates are a few examples of these metrics. Making efficient use of these indicators helps with funding allocation, therapy development, and health priority setting. The evaluation highlights a range of signs for injuries, mental health problems, and infectious and chronic diseases. Challenges include the need for comprehensive health information systems and problems with data quality and consistency. Planning for public health and well-being requires the use of morbidity indicators. They aid in the assessment of medical interventions and offer a thorough understanding of the burden of disease. Its utility will increase with enhanced data collection, health information system integration, and ongoing morbidity measurement research. Future work should concentrate on improving the indicators and making sure they remain applicable in changing healthcare environments.
