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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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01:11Guidelines for Writing Outcome
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When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
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01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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01:26Methods Of Healthcare Delivery System
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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01:25Strategies for Assessing and Addressing Confounding
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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01:16Control Volume and System Representations
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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
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Evaluating whole system reforms: A structured approach for selecting multiple outcomes.
Alfariany Fatimah1, Philip Britteon1, Alex J Turner2
1The University of Manchester, UK.
Health Policy (Amsterdam, Netherlands)
|November 1, 2023
Summary
Evaluating whole-system health reforms requires a comprehensive approach. This study proposes a structured method to select multiple outcome measures, enhancing transparency and comparability in health and social care evaluations.
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Area of Science:
- Health Services Research
- Public Health Policy
- Health System Performance Evaluation
Background:
- Whole-system reforms, such as health and social care integration and devolution, aim to improve health system performance across multiple dimensions.
- Traditional evaluations often focus on limited outcomes, potentially obscuring overall reform effects, underlying mechanisms, and hindering cross-setting comparisons.
- The risk of post-hoc outcome selection based on significant results can compromise evaluation integrity.
Purpose of the Study:
- To propose and apply a structured, multi-step approach for selecting multiple quantitative outcome measures for evaluating complex health system reforms.
- To enhance the transparency, interpretability, and comparability of evaluations for system-wide health and social care changes.
- To address the limitations of narrow outcome-focused evaluations in capturing the holistic impact of reforms.
Main Methods:
- Developed a five-step structured approach for selecting outcome measures, grounded in the World Health Organization's Health System Performance Assessment Framework.
- Included defining outcome domains, reviewing national performance metrics, excluding redundant or condition-specific outcomes, and removing those with insufficient data.
- Mapped implemented policies to targeted outcomes to refine the selection process, exemplified by the evaluation of health and social care devolution in Greater Manchester.
Main Results:
- Identified an initial pool of 99 potential outcome measures relevant to health and social care system reforms.
- Successfully narrowed down the outcomes to 57 targeted measures through the structured selection process.
- Demonstrated the feasibility and utility of the approach in a real-world evaluation setting.
Conclusions:
- The proposed structured approach provides a robust framework for selecting multiple outcome measures in health system evaluations.
- This method promotes transparency, facilitates interpretation of findings, and enables meaningful comparisons across different evaluation settings.
- While detailed and time-intensive, the approach offers significant benefits for researchers and policymakers assessing complex health and social care reforms.