A research protocol for a national multi-center cross-sectional study on factors associated with homecare coordination and quality of care would involve a systematic plan outlining the key components of the study, including its objectives, methodology, data collection, analysis, and ethical considerations. Below is an outline of what such a protocol might include:

Title: Factors Associated with Home care Coordination and Quality of Care: A National Multi-Center Cross-Sectional Study

1. Introduction:

  • Background and rationale for the study.
  • Significance of studying homecare coordination and quality of care.
  • Research questions or hypotheses.

2. Objectives:

  • Clearly state the primary and secondary objectives of the study.

3. Study Design:

  • Describe the study design as a cross-sectional approach.
  • Explain why cross-sectional design is suitable for the research questions.

4. Study Setting:

  • Provide information about the Live in care participating centers or agencies.
  • Explain the rationale for selecting these centers.

5. Sample Selection:

  • Describe the criteria for participant inclusion and exclusion.
  • Explain the sampling method (e.g., random sampling, stratified sampling).
  • Detail the sample size calculation and justification.

6. Data Collection:

  • Specify the data sources (e.g., surveys, interviews, medical records).
  • Describe the data collection tools or instruments.
  • Explain the procedure for data collection.

7. Variables:

  • List and define the independent and dependent variables.
  • Provide operational definitions for each variable.

8. Data Analysis:

  • Describe the statistical methods to be used (e.g., regression analysis, chi-square tests).
  • Explain how missing data will be handled.
  • Mention any software (e.g., SPSS, R) to be used for analysis.

9. Ethical Considerations:

  • Discuss ethical approval from relevant ethics committees.
  • Explain the informed consent process.
  • Describe steps taken to protect participant confidentiality.

10. Data Management: – Detail how data will be stored, secured, and managed. – Mention any data encryption or anonymization processes.

11. Timeline: – Provide a timeline for the entire study, including data collection, analysis, and reporting.

12. Budget: – Estimate the financial resources required for the study. – Detail funding sources and potential grants.

13. Dissemination Plan: – Explain how the study’s findings will be disseminated (e.g., peer-reviewed publications, conferences). – Highlight the target audience for the research.