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Uses of Statistical Information Paper

Data collection is a significant variable for analyzing and making vital decisions in any form of organization. For the nursing profession information generation is useful for deriving vital data useful for treating and finding solution how to give proper care to patients. Every activity of the nursing profession requires the derivation of the right information for their activities to be successful. TYPES OF STATISTICAL DATA COLLECTED FOR NURSING FIELD WORK There are different data that is collected by a nursing practitioner. The type of data collected depends on what is intended to be attained.

Collecting Data to Build More Understanding about Patients Relationship with Nursing Practitioner: In order to get more information on the interaction between nurses and patients, and how they relate to each other during treatment sessions, data can be collected from patients and nurses themselves. Furthermore, this leads to find ways of improving on the bonding and relationship building for better treatment to patients. A statistical analyses conducted by Carr-Hill, et al (1992) in Wales England, was directed to see the interaction between nurses and patients.

Thus, data were from 15 acute medical or surgical wards at seven hospital sites by qualified nurses trained as observers by the research teams. Vital decisions were reached in staffing more qualified nurses after the data analyses were made. Data could be collected to see the reaction of nurses to some kind of aliment they treat in patients under their care. To find out whether some ailment are contagious, and ways to prevent them if they happen to be contagious statistical data can be collected based on observed activities of nurses and their reaction to some treatment after some period.

Similarly, data can be collected from patients to determine their reaction to some kind of drugs administered to them by nurses. Some categories of people have adverse reaction to some drugs they take. Thus, to find the level of reaction and the category of patients that react to certain drugs, data can be collected by nurses to analyze statistically. In the statistical research conducted by Keyser, et al (2000) to see the adverse reaction of elderly patients in nursing home receiving sequential amantadine and rimantadine for influenza A prophylaxix. Data were collected from 156 nursing home patients and was statistically analyzed (ibid).

At the pre-administration assessment of patient care, data are collected by nursing practitioners to evaluate therapeutic and adverse responses of patients to some ailments like high blood pressure, cell counts used to determine whether some certain drugs are good for patients with peculiar health history. Data collection can be carried out by nursing practitioners to identify patients with high-risk e. g. those living with dysfunctional liver or kidney problem, collecting data to know how best to treat certain category of people like the pregnant women, the elderly, babies, patient with allergies to certain drugs or food.

Data can also be collected for trial process in clinical researches. For instance, the introduction of a new drug to treat certain ailment would be clinically tested to know the impact it would have on patients. According to Lehne (2007, pg 16) “clinical trial data base will be established so that informed decisions can be about trial drugs”. Lastly, data collection is utilized for nurses’ diagnosis functions. To diagnose an ailment data need to be collected by nurses on field work. DATA NOT COLLECTED BY NURSING FIELD WORK SETTING

Not all data are collected by nursing practitioners in their field work. Those data not collected by nursing practitioners include the following: • Data that are for policy formulation for medical practice. This type of data are collected and analyzed by generalist or administrators in the medical sector of a country. Nurses are specialist and thus, deal with data relating to their direct operations in patients treatment and patients care. • Data on academic researches purpose may be of aid to nursing practitioners, but they are not directly collected by nursing practitioners themselves.

• Data for hospital financial and resource management are not in the field work of a nursing practitioner, thus they do not collect such data. These data are better handled by the hospital administrators. • Data for statistical planning and marketing survey are not collected by nursing practitioners. Such data are collected by the hospital management and marketing personnel in the hospital organization. ADVANTAGES OF ACCURATE DATA INTERPRETATION FOR DECISION MAKING The following are the advantages associated with utilizing accurate data for decision making in nursing field work

• Accurate data enable the treatment and care for patients to be effective in the overall recuperation of patients. When the right information is derived proper planning and administering of care enables the patients to recuperate on time. This also lessens the stress and work by the nursing practitioners in catering for the patient. • Through better data analyze the nurses tend to learn and acquire new skills in operating effectively. The information gathered by nursing professionals on the field work adds up to their experience and make them more efficient.

• Accurate data analysis aid nurses in proper and accurate administration of treatment to diagnosed ailments and diseases. With proper information the nurse has the right information to apply the right treatment to diagnose cases brought to them. This speed up the administration of treatment and care to patients. • Cost of treatment is reduced and saved when decisions are made based on accurate data. Instead of treating the patients based on trial and error the right treatment is administered at once there avoiding cost accumulation for the treatment.

• Accurate data for decision making go a long way in securing lives. For instance, the collection of data to determine that a patient have high blood pressure, the administering right drugs and the type of drugs fit for him would go a long way to safe the patient’s life. CONCLUSION The collection of the right data for analyses would bring about effectiveness. On the other hand when the right data are not collected the wasted effort and wrongful decision can be arrived at, which may lead to lost of lives.

Since the nursing profession is to safe lives, decisive and correct decision needs to be collected and properly analyzed with the aid of statistical instruments, and conclusion drawn.

REFERENCES

Carr-Hill, Roy et al (1992), “Skill Mix and the Effectiveness of Nursing Care” Centre for Health Economics, University of York. http://ideas. repec. org/p/chy/respap/op15. html (24/02/08) Doengas, M. E. & Moorhouse, M. F. (2003), ‘application of Nursing Process and Nursing Diagnosis: An Interactive Text for Diagnostic reasoning” http://www.fadavis. com/related_resources/1_1950_1. pdf. (22/02/08) Keyser, Linda A, et al (2000), “Comparison of Central Nervous System Adverse Effects of Amantadine and Rimantadine Used as Sequential Prophylaxis of Influenza A in Elderly Nursing Home Patients” Arch Intern Med. Vol. 160 No. 10, May 22. http://archinte. highwire. org/cgi/ijlink? linkType=ABST&journalCode=aac&resid=23/3/4 (24/02/08) Lehne, Richard A. (2007), ‘Pharmacology for Nursing Care” 3rd & 4th Edition. http://users. ipfw. edu/Blumenth/PharmWeb/1to12. PDF. (22/02/08)

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