Statistics Data Trends in the Health Facilities Paper Example

Paper Type:  Essay
Pages:  2
Wordcount:  510 Words
Date:  2022-12-06

Discharge by service statistics is crucial in the health facilities as it gives the information on the number of the people relieved from the hospital as per their condition and the respective departments they were admitted. The information gathered is of the essence as it promotes the coordination of the services after discharge from the hospital by accounting the patient's needs in the community (GoncalvesBradley, Lannin, Clemson, Cameron, and Shepperd, 2016).As per the data titled "Percent of discharges by service type, Hospital A, 2009", the data on discharge is aligned based on medical, surgery, pediatrics, new-born, and obstetrics service.

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Surgery services record the highest number of discharge accounting to 31%. The department service receives both the minor surgeries that are easily discharged (even hours after surgery) and minor surgeries that are held for sometimes before being discharged. The assumption of the rate is that most of the surgeries that are minor are done frequently and most the patient can recuperate while at home.

The medical service department follows with 24% of the discharges; the assumption for the rate is that some of the patients have come for a medical check-up, treatment for terminal and non-terminal illnesses, and vaccination and hence there is limited reason for admission.

Pediatrics records 17% of discharge; they are mostly infants, children, and adolescent under the age of 21 years. The common illness involved congenital diseases, Infectious diseases, and childhood cancer. The rate is based on the assumption that most of the children and infants take time to recover from their illness due to the weak immune system.

The obestic services records 15% discharge rate, the services include pregnancy, childbirth, gynecology, and the postpartum period. The assumption for the rate is based on the idea that most of the expectant mothers need close medical monitoring, and there will be no essence of releasing them without certainty of the stability of their condition. It is assumed that they stay in the hospital for sometimes to reduce mother and/or infant mortality rate.

Last but not least is newborn services with 13%, this precisely involves the infants. The assumption made based on this percentage rate is because some of the infants are born before their due date, hence are kept in the neonatal incubator for some months or weeks to grow until when they are strong to be nursed by their mothers. Also, some infants are born with certain conditions that need close medical attention and hence they cannot be released immediately after birth.

Conclusion

To wind up, the discharge rate varies based on the patient's condition and time it will take to recuperate. However, the variance might fluctuate due to the response of the patients to the medication, the choice to be treated from home, or transfer to another hospital. The discharging statistic is significant at guaranteeing the smooth and safe discharge from the hospital, and doing a follow-up on the patients and making development plants at the facility.

References

GoncalvesBradley, D. C., Lannin, N. A., Clemson, L. M., Cameron, I. D., & Shepperd, S. (2016). Discharge planning from hospital. Cochrane Database of Systematic Reviews, (1).

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Statistics Data Trends in the Health Facilities Paper Example. (2022, Dec 06). Retrieved from https://proessays.net/essays/statistics-data-trends-in-the-health-facilities-paper-example

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