scholarly journals To Formulate a Selective Patient Safety-related Policy for a Tertiary Care Hospital

Author(s):  
V Aggarwal ◽  
Shakti Kumar Gupta ◽  
S Arya ◽  
S Singh

ABSTRACT Patient safety is the absence of preventable harm to a patient during the process of healthcare (WHO). Accuracy of patient identification remains a priority focus of healthcare organization. Identifying patients accurately presents many unique challenges in today's healthcare settings. We need to understand how human factors can be used to reduce adverse events. Using a human factor approach, the human system interface can be improved by providing better designed system and processes. This involves simplifying processes, standardizing procedures, providing back up when human fails, improving communication, redesigning equipment and engendering a consciousness of behavioral organization and technological limitation that lead to error. The above study was an initiative toward simplifying processes and standardizing procedures. It was a descriptive cross-sectional study carried out between April to August 2013. The tool used was a check list made after an exhaustive review of literature and validated by experts in quality assurance from NABH accredited private hospitals. The study population of 100 people which included doctors, nurses, paramedical staff and quality managers of tertiary care public and private hospitals were approached for interaction against the back drop of the check list. Response rate was 61%. Policy was framed after incorporating inputs from responses received against the back drop of the check list. How to cite this article Singh S, Gupta SK, Arya S, Aggarwal V. To Formulate a Selective Patient Safety-related Policy for a Tertiary Care Hospital. Int J Res Foundation Hosp Healthc Adm 2014;2(2):94-102.

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 ◽  
...  

Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  

2021 ◽  
pp. 12-15
Author(s):  
Smarajit Banik ◽  
Sandip Saha ◽  
Sudipan Mitra ◽  
Ujjwal Pattanayak ◽  
Rajib Sikder ◽  
...  

Background: Diabetes mellitus is one of the important causes of morbidity and mortality. With a rise in non communicable diseases in India, diabetes has become a modern epidemic showing a rising trend in West Bengal also. A large number of diabetes patients come to the diabetes clinic of our tertiary care hospital in North Bengal Medical College and Hospital, Darjeeling, West Bengal. The large proportion of patients presenting with this condition prompted us to study the Sociodemographic and Anthropometric Prole of such patients. Methods: This was a descriptive hospital based cross sectional study involving a total of 344 diabetic patients enrolled in the diabetes clinic of a tertiary care teaching hospital from December 2019 to February 2020. A self-administered questionnaire was used to collect data and was analyzed in Microsoft excel sheet and using SPSS 20.0 software. Results: Among the 344 study participants, we found that 220 (63.95%) were males and 124 (36.05%) were females. Diabetes was more common among those aged 51-60 years 108 (31.40%). Family history was present among 188 (54.65%) of the diabetic patients. Almost 160 (46.51%) patients have diabetes 1.1 – 5 years. Hypertension was present among 216 (62.79%) patients. Almost 218 (63.37%) of the patients were overweight and 84 (24.42%) were obese. Conclusions: The diabetic patients presenting to this tertiary care hospital belong lower socioeconomic strata and having limited education in their age group. There is high proportion of obesity and hypertension among them.


Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale

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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