hia630 wk3 discussion1

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Ashford University *

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630

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Health Science

Date

Nov 24, 2024

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docx

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3

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Part 1: Nominal Level Measurement Differentiates among interpretations in regards to kind or quality Doesn’t specify the quantity variable It’s a dichotomous classification based upon certain characteristics that are or are not present Ex.-Place of birth, ethnicity, race, marital status Ordinal Level Measurement Differentiates among interpretations regarding relative amounts If one contains either the same, more or less as the other Placed in hierarchical order Strategy is direct comparison Ex.- Rating job satisfaction on a 1-10 scale In-Interval Level Measurement The integers form a range that delivers info regarding the quantity of difference The scale lacks a zero Alterations among the adjacent numbers would be unknown or equal Ex.-The temperature scales are Celsius and Fahrenheit. 0- Degree Fahrenheit or 0-Degree Celsius don’t indicate there to be an absence in temperature. Ratio Scales Characteristics of interval scales and a true zero Absence of characteristic that is measured The physical characteristics of
objects and individuals are able to be measured in a ratio scale Ex.- Height and Weight. A zero would mean that there is a complete absence of weight and height Measurement Reliability It’s a measurement that is free from a random error Obtains outcomes when the true value would be constant. Validity measures accurately the construct that it’s intended to It’s free of both systematic or random error It’s important to have validity and reliability with research as they make sure the data is reliable and replicable and accurate Being reliable is needed but isn’t sufficient for validity, having a valid measurement is also reliable Part 2: In the last several years, there have been multiple circumstances like evidence- based healthcare culture, patient-centered actions, and quality-linked incentives that are associated to the essential increase of having financial constraints and the pressures of healthcare budgets that have resulted in there being a growing awareness from the policymakers from growing pharmacists’ roles regarding patient care. Several studies have been able to demonstrate positive therapeutic results that are associated with pharmaceutical services throughout the range of diseases. There is evidence of the economic impact that the pharmacist are lowering for the total number of health expenses, societal financial costs, and unneeded services or care would rely on the well-performed, transparent, and reliable economic assessments that are scarce (Tonin, et al., 2021). Dependent Variable Economic impact on expenses
Independent Variable The pharmacists Level of Measurement-Ordinal The evaluation is done by using methodological input. By choosing either option A or B by a decision tree Reliability in Study The study was reliable as they used a cohort model of patients that they described as Markov cohort model (Tonin, et al., 2021). Validity in Study The study was valid as it used the cohort model and showed a hypothetical example of a analysis decision tree References Tonin, F. S., Aznar-Lou, I., Pontinha, V. M., Pontarolo, R., & Fernandez-Llimos, F. (2021). Principles of pharmacoeconomic analysis: the case of pharmacist-led interventions. Pharmacy practice, 19(1), 2302. https://doi.org/10.18549/PharmPract.2021.1.2302
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