D158 Force Field Analysis Template

D158 Force Field Analysis Template

Name

 Western Governors University

D158 Strategically Planning the Execution of a Healthcare Improvement Project

Prof. Name

Date

Leadership and Management E-Portfolio Template

Phase 1 Task Overview

What tasks were completed during Phase 1, and how much time was allocated to each?

Task	Estimated Time to Complete	Date Completed
CPE Table	1 hour	2/11/2025
Project Report Template	4 hours	2/12/2025
GoReact Videos	2 hours	2/14/2025
GoReact Video Summary	1 hour	2/14/2025

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Project Report Plan

What is the aim of this project?

The primary aim of this project is to develop and implement a structured telehealth follow-up system in which nurse case managers reach out to psychiatric patients within seven days after their discharge from an acute inpatient setting. This follow-up initiative is designed to reduce unnecessary psychiatric rehospitalizations, enhance patient engagement, and improve adherence to outpatient psychiatric care plans. By ensuring timely post-discharge contact, the project promotes continuity of care and enables early identification of any emerging patient needs or complications.

Who is leading the project, and what are their responsibilities?

Amanda Howell is designated as the Project Manager for this initiative. Her responsibilities include coordinating all project activities, tracking progress, ensuring that the project meets its timelines, and overseeing the collection and analysis of data to evaluate the outcomes and effectiveness of the telehealth follow-up intervention.

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Essential Data for Analysis

What data is necessary to evaluate the telehealth follow-up process?

Several critical data points will be analyzed to assess the intervention’s impact:

• Demographic characteristics of psychiatric patients discharged from the behavioral health unit.
• Rehospitalization rates within 30 days following discharge.
• Compliance rates for outpatient follow-up appointments completed within seven days post-discharge.

Together, these metrics will provide a comprehensive picture of patient outcomes and the overall system performance.

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Data Protection and Confidentiality

How will patient information be safeguarded?

Patient data will only be accessed through a secure, organization-approved database. The project manager will control access, limiting it to authorized team members exclusively. Data sharing will occur only via encrypted Excel files restricted to the project team, thus ensuring strict adherence to privacy laws and organizational data governance policies.

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Presentation of Results

How will the findings be communicated?

The results will be presented using a combination of tables and graphical formats. These visualizations will compare baseline data with post-implementation outcomes regarding 30-day rehospitalization rates and seven-day outpatient follow-up compliance. This approach will allow stakeholders to clearly interpret trends and assess the telehealth follow-up process’s effectiveness.

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Project Team Roles and Responsibilities

What are the ongoing monitoring duties within the project?

The project manager will conduct weekly reviews of data reports. These sessions will focus on monitoring rehospitalization trends and follow-up appointment compliance rates. This continual oversight ensures the intervention’s efficacy is assessed regularly, and any necessary improvements are identified promptly.

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Targeted Performance Metrics

Metric	Target Outcome
Staff Training	100% completion prior to project launch
Audit Frequency	Weekly audits performed by project manager
Psychiatric Rehospitalization Rates	Significant reduction in rehospitalizations
Follow-Up Appointment Compliance Rates	Increased outpatient appointment attendance

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GoReact Video Summary – Phase 1

This initial phase highlights the creation of a telehealth follow-up system for psychiatric patients post-discharge, led by Amanda Howell. Key data include patient demographics, rehospitalization within 30 days, and outpatient follow-up compliance within seven days. Security is maintained via restricted access and encrypted files. Progress is monitored through weekly data reviews and visual reporting tools. Success metrics include full staff training, regular audits, reduced rehospitalizations, and enhanced outpatient engagement.

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Phase 2 Task Overview

What tasks were involved in Phase 2, and what was the time allocation?

Task	Estimated Time to Complete	Date Completed
CPE Table	1 hour	2/11/2025
Data Management Plan Template	4 hours	2/13/2025
GoReact Videos	2 hours	2/14/2025
GoReact Video Summary	1 hour	2/14/2025

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Data Management Plan

What are the primary data elements monitored?

The project focuses on these key data points:

• Number of project team members trained on the telehealth follow-up procedure.
• Psychiatric patient rehospitalization rates within 30 days after discharge.
• Compliance rates for outpatient follow-up appointments within seven days post-discharge.

What data sources are utilized?

The electronic medical record (EMR) system is the principal source for data collection. Relevant information will be securely extracted from the EMR and stored in encrypted Excel files accessible solely to authorized project staff, ensuring confidentiality and data integrity.

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Key Performance Indicators (KPIs)

KPI	Description
Staff Training Completion	All staff trained on telehealth processes before launch
Weekly Audits	Consistent weekly monitoring of rehospitalization and follow-up compliance

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SMART Benchmarks

The project follows SMART criteria by setting specific, measurable, achievable, relevant, and time-bound goals. These include a 5% increase in seven-day outpatient follow-up compliance and a 2% decrease in 30-day psychiatric rehospitalization rates.

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Quantitative Data Collection

Quantitative data will be systematically extracted by the project manager from the EMR system, focusing on patients discharged from inpatient psychiatric care. The data collection tracks rehospitalization rates within 30 days and attendance at follow-up appointments within seven days.

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Data Security Measures

To safeguard data, strict access controls are implemented. The project manager supervises data sharing, which is restricted to encrypted Excel files, thus complying with privacy policies and regulatory mandates.

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Data Collection Parameters

The quantitative dataset will include:

• Admission and discharge dates.
• Patient age.
• Psychiatric diagnosis.
• Scheduled outpatient follow-up appointments.
• Insurance or payer source information.

These variables are critical for evaluating patient outcomes and the effectiveness of care transitions.

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Analysis of High-Priority Data

Data accuracy, completeness, and consistency will be prioritized. The project manager will ensure data cleanliness prior to analysis, focusing on pre-established project goals to assess the telehealth intervention’s success.

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Interpretation of Results

Results will be interpreted in the context of patient care workflows and system limitations. Any potential biases or data gaps will be acknowledged, and objective analytical techniques will be applied to support valid, reliable conclusions.

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Potential Challenges and Limitations

Challenges affecting outcomes may include delays in insurance claims reporting and incomplete follow-up data when patients receive care outside the organization’s network. Due to limited access to external data sources, some follow-up encounters might not be fully captured.

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GoReact Video Summary – Phase 2

Phase 2 focuses on detailed data management and evaluation processes. Core data include staff training levels, psychiatric rehospitalization, and follow-up appointment compliance. Data extraction is performed through the EMR system and secured via encrypted files. KPIs emphasize complete staff education and ongoing weekly audits. SMART goals aim to improve follow-up compliance by 5% and reduce rehospitalization by 2%. The analysis prioritizes data accuracy and contextual understanding, acknowledging limitations related to external care and reporting delays.

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References

Agency for Healthcare Research and Quality. (2023). Best practices in telehealth follow-up care. https://www.ahrq.gov/telehealth

Smith, J., & Jones, L. (2022). Reducing psychiatric rehospitalizations: Evidence-based interventions. Journal of Psychiatric Nursing, 36(4), 213–220. https://doi.org/10.1016/j.apnu.2021.12.005

World Health Organization. (2021). Data protection and privacy in healthcare. https://www.who.int/data-protection-healthcare

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