Identify the type of process and outcome data that could be collected, analysed and fe back for improvements in care relevant to your chosen standard.

Identify the type of process and outcome data that could be collected, analysed and fe back for improvements in

care relevant to your chosen standard. (You may wish to ref to the article by Donabedian, 1988, as a starting point).

This area for action aligns with step 2.2 of the Australian Safety and Quality Framework for Health Care... Show more"

Process Data:

 Definition: Process data relates to details obtained on the activities carried out in delivering health care services. This may cover the rate of intercessions and compliance with evidence-based protocols, and also the punctuality of treatment.

 Examples:

 Hand Hygiene Compliance: The portion of the staff washing their hands in accordance with the appropriate guidelines.

 Medication Administration Accuracy: Rates of adverse drug reactions or in the timely administration of the required medication.

 Patient Education: Patient record of history of teaching and sharing of information with the patient about his or her health status and or the management plan.

 Outcome Data:

 Definition: Outcome captured how effective the different health care services and their efficiency in improving the overall health of the patients, their satisfaction with the health care services that are rendered to them.

 Examples:

 Patient Mortality Rates: These are the proportions of the patients that succumb to the disease within a given time after a particular treatment has been administered on them.

 Hospital Readmission Rates: The proportion of patients who are admitted in the hospital again within the first 30 days of discharge from the initial admission.

 Patient Satisfaction Scores: Perceived satisfaction level of the patient on the care offered.

 Applying Donabedian's Model

 Donabedian's model (1988) divides quality assessment into three components: Shoemaker, Weber and the Universal: Structure, Process, Outcome. Speaking of the comparison of process and outcome data in connection with a given healthcare standard, this model seems to be quite appropriate.

 Structure:

 Emphasis is made on the environment, in which care is provided. Some of them are staff establishment, which consists of number of staffs, their qualification, facilities available, and the setup in which they are to work.

 Data Collection: Record structures, equipment, and nature and qualifications of employees.

 Process:

 Is a term that describes the manner of delivering of health care. It deals with the real processes and the communication between health care givers and the end users that is patients.

 Data Collection: Test compliance with clinical protocols and plans, as well as the timeliness of patients’ evaluations and care.

 Outcome:

 The effectiveness of HC: the benefits derived by patients in terms quality, satisfaction and well-being.

 Data Collection: A requirement of evaluating and comparing the changes in the different aspects of health, experiences of patients and success of the provided care.

 Feedback for Improvement

 Continuous Monitoring: The initial assessment of processes and outcomes should be done on an ongoing basis to discover the tendencies, successful results, and improved work fields.

 Benchmarking: Use benchmarked data to compare with the national or international ones to assess the performance.

 Quality Improvement Initiatives: Ensure that quality improvement initiatives like decreasing the likelihood of contracting an infection or enhancing the knowledge about different diseases use data.

 Staff Training and Development: Concerning data analysis, the results should be used to train staff as per the adherence to the process who lacks the understanding.

 Firstly, the relationship between LTPs and the specific elements of the application of the Australian Safety and Quality Framework for Health Care is going to be outlined.

 Aligning with Step 2. 2: Writing this step, it is possible to guess what this step focuses on safety and quality of the healthcare services. Thus gathering both process and outcome data, health care organizations can choose the right steps to improve patient care, decrease mistake incidences and maintain organizational conformity to standards.