Factors associated with duration of hospitalization and outcome in burns patients: A cross sectional study from Government Tertiary Care Hospital in Karachi, Pakistan

Burns ◽  
2013 ◽  
Vol 39 (1) ◽  
pp. 150-154 ◽  
Author(s):  
Muhammad Farhan Khaliq ◽  
Muhammad Muslim Noorani ◽  
Uzair Ahmed Siddiqui ◽  
Ehmer Al Ibran ◽  
Masood Hussain Rao
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Duration Of Hospitalization

scholarly journals Susceptibility for varicella and factors associated with immunity among pregnant women in a tertiary care hospital in Sri Lanka- a cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ishara P. Premathilake ◽  
Praveena Aluthbaduge ◽  
Channa P. Senanayake ◽  
Renuka Jayalatharachchi ◽  
Sirithilak Gamage ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Pregnant Women ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

scholarly journals Prognostic factors associated with small for gestational age babies in a tertiary care hospital of Western Nepal: A cross‐sectional study

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Nagendra Chaudhary ◽  
Shree Narayan Yadav ◽  
Suresh Kumar Kalra ◽  
Santosh Pathak ◽  
Binod Kumar Gupta ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

Confidence toward vaccination as reported by parents of children admitted to a tertiary care hospital in Riyadh, Saudi Arabia: A cross sectional study

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

A Cross-sectional Study of Undiagnosed Fever in a Rural Population at a Tertiary Care Hospital of West Bengal

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  
Keyword(s):  
Rural Population ◽  
West Bengal ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

Sleep Quality Index and Factors Influencing Sleep of Patients in Tertiary Care Hospital: A Cross-Sectional Study

2021 ◽  
Author(s):  
Shalini Singh ◽  
Shivangi Sharma ◽  
Santosh Bishnoi ◽  
Shivani Saini ◽  
Sharon Jose ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Influencing

scholarly journals SURVEY OF PATTERN OF DRUG INTERACTIONS IN PATIENTS BEING PRESCRIBED ANTI-DIABETIC MEDICATIONS IN A TERTIARY CARE HOSPITAL: PROSPECTIVE CROSS SECTIONAL STUDY

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interactions ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Potential Ddis ◽  
Cross Sectional

Background: Potential importance of drug –drug interactions (DDIs) is increasing as polypharmacy becomes more prevalent. Because additional data on the incidence and pattern of potential DDIs among diabetic patients are lacking in India, and supplemental pharmacodynamic or clinical outcome information is needed to address importance of a drug- drug interaction. Aim and objectives: To identify and analyze the pattern of DDIs in patients being prescribed anti-diabetic drugs in a tertiary care hospital. Material and Methods: This prospective cross-sectional study was carried out for a period of three months in 200 Type 2 diabetes mellitus (Type 2 DM) patients who were taking at least one antidiabetic agent during the period of past six months, of any age and either sex admitted in medicine ward of a tertiary care teaching hospital. Only one prescription was included for each patient on his/her 3rd day of hospitalization in the ward. Results: A total of 1217 drugs were prescribed in 200 prescriptions, resulting in an average of 6.1 drugs per prescription. A total of 637 potential DDIs were noted. The majority were seen in middle aged and elderly people. No overall difference was detected in the patients on insulin or metformin therapy taking or not taking additional drugs with the potential to interact. Worse control was found in the group of patients on sulphonylurea therapy taking interacting drugs (P <0.05). This difference was most marked in the group of patients over 60 years of age, who also had the highest intake of potentially interacting drugs (57%; <35 years-37%). Conclusion: Antidiabetic drugs have numerous interactions. A good practice is to use a drug­–drug interaction checker if any questions arise, several are available online. Quality care starts with the clinician obtaining a complete medication list for each patient at the start of each visit. Keywords: diabetes mellitus, drug interactions, hypoglycemic agents, drug therapy, co-morbidity, polypharmacy

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