| Structure Measure | Process Measure | Outcome | |
| Identify/Name of Measure | Does the institution have reasonable qualified registry staff to patient ratio? | Length of the admission/registration process | Reduction in emergency admissions. |
| Describe the Measure | A structure measure encompasses the infrastructure and personnel ability of an institution to deliver quality and evidence-based healthcare, from the inception of contact with the patient (Parsons, 2012). The structural measure therefore ideal to gauge the efficiency of registration is the availability of sufficient personnel to register incoming patient, either through telephone conversion or actual walk-ins by patients. | A process measure is keen on the procedures laid in place by an institution to facilitate better and efficient service delivery to the patients who report there (Parsons, 2012). To this effect therefore, the process measure ideal for this institution is the duration taken for successful registration of patients, both on site and on telephone. This will effectively gauge the efficiency of the procedures put in place to facilitate the registration of new patients. | An outcome measure is a metric used to gauge the effectiveness of both the structure and process measures of institutions offering health care (Parsons, 2012). Outcome measures are therefore essential in distinguishing between effective and ineffective structures and processes. The outcome measures ideal for the institutions will be the number of emergency admissions of patients. |
| Numerator/ Denominator | The numerator of the measure is the number of registry staff available on call. The denominator on the other hand is the total number of calls made requesting for admission, includes admitted patients and non-admitted ones. | The numerator of the measure shall be the average length of time taken to register incoming patients. The denominator of the measure on the other hand shall be the average time taken to admit patients by rival and ally institutions. | The numerator of the measure is the number of emergency admissions done within the year. The denominator shall be the total number of emergency admissions done within the past five years. |
| Data Source | The data source for the numerator shall be the employee registry of the hospital. The data source for the denominator shall be the administrative records which detail the time, date of call and demographic information on the patient. | The data source for the time taken shall be derived from the hospital information technology which records electronic entries of the registration steps. The data for the denominator shall be obtained from county audits which detail the average length of time taken. | The data for both the numerator and the denominator will be sourced from both the administrative records and the IT systems which reveal the emergency admissions made by the hospital. |
| Discuss reliability of data source | The employee registry details personal information and performance of employees. It is critical in establishing the number of staff members. Administrative records on the other hand being statutory requirements are reliable sources of data (Chan, 2010). | Secure IT systems that are malware and hacker proof are reliable in terms of the accuracy, originality and the confidentiality of data (Chan, 2010). Additionally, quality-audits reports done by the government will be instrumental in providing data related to other institutions. | The administrative records additionally reveal the number of emergency admissions. These records are securely stored and meticulously audited, therefore delineating high reliability and accuracy levels (Chan, 2010). |
References
Chan, K. S., Fowles, J. B., & Weiner, J. P. (2010). Electronic health records and the reliability and validity of quality measures: a review of the literature. Medical Care Research and Review , 67 (5), 503-527.
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Parsons, A., McCullough, C., Wang, J., & Shih, S. (2012). Validity of electronic health record-derived quality measurement for performance monitoring. Journal of the American Medical Informatics Association , 19 (4), 604-609.
