Thirty-One Percent Gone in Year One: An Environmental Scan and Evidence-Based SWOT for the Nursing Division of a Community Hospital
Student Name
Doctor of Nursing Practice Program, Aspen University
DNP885: Strategic Planning and Financial Management
Instructor Name
Month Day, Year
Thirty-One Percent Gone in Year One: An Environmental Scan and Evidence-Based SWOT for the Nursing Division of a Community Hospital
Strategic planning begins with an honest look at where an organization stands and what is happening around it. This paper presents an environmental scan for the nursing division of Harlan Valley Medical Center, a composite 160-bed community hospital, and summarizes it in a SWOT analysis in which each entry is supported by data or published evidence. The scan will inform the division's strategic objectives, budget decisions, and a business case developed later in the course.
Mission and Scope of the Scan
The hospital's mission is to provide safe, close-to-home care for the people of Harlan Valley. The nursing division employs 412 registered nurses across medical-surgical, critical care, emergency, and perinatal services. The scan covers the last three fiscal years of internal data from human resources, finance, and quality reports, and external sources including federal payment policy, the regional labor market, and published research. It was compiled by the DNP student with the chief nursing officer, the finance director, and the director of quality, and reviewed by the nursing leadership council.
Internal Scan: Workforce
The registered nurse vacancy rate was 14 percent at the end of the last fiscal year, up from 8 percent two years earlier. Turnover among nurses in their first year of practice was 31 percent, compared with 16 percent among all nurses. Exit interviews most often cited feeling unprepared for the workload, inconsistent preceptors, and night shift assignments without support. To fill gaps, the division's spending on contract nurses rose from $1.1 million to $4.6 million over two years, and overtime rose from 4 percent to 7 percent of paid hours.
These numbers matter beyond cost. Linking surveys of more than 10,000 staff nurses with outcomes for over 230,000 surgical patients, Aiken et al. (2002) found that every patient added to a nurse's workload raised the odds of death within a month of admission by about 7 percent and the odds of nurse burnout by 23 percent. A division that cannot keep its new graduates risks both higher staffing loads and the burnout that drives further turnover. The division is paying more each year to stand still.
Internal Scan: Quality and Finance
The hospital's 30-day readmission rate for heart failure was 23.4 percent last year, the highest of its targeted conditions. The hospital received a 0.9 percent reduction in base Medicare inpatient payments under the Hospital Readmissions Reduction Program, which finance estimates at about $310,000 for the year. Medicare accounts for 48 percent of the hospital's gross revenue and Medicaid for 21 percent. Operating margin fell from 2.1 percent to negative 0.6 percent over two years, with contract labor the largest single driver of cost growth. The hospital has no outpatient heart failure clinic; patients are referred to cardiologists 40 miles away, and the median wait for a first visit after discharge is 19 days.
External Scan
Federal policy continues to tie payment to outcomes. Across more than 3,000 hospitals, readmission rates for conditions targeted by the Hospital Readmissions Reduction Program fell from 21.5 percent in 2007 to 17.8 percent in 2015, and the authors found no evidence that the decline was explained by a shift to observation stays (Zuckerman et al., 2016). A heart failure readmission rate of 23.4 percent therefore places Harlan Valley well behind what many hospitals have achieved.
The regional labor market is tight. A larger health system 30 miles away opened a new tower last year and is offering sign-on bonuses to experienced nurses. On the other hand, the community college's associate degree program and a state university's BSN program graduate about 140 nurses a year within commuting distance, and the state has announced workforce grants for hospitals that fund structured transition programs. The county's population aged 65 and older is projected to grow, which will increase demand for chronic disease care, including heart failure.
Evidence on Retaining New Graduates
Because first-year turnover stands out, the scan also looked at what is known about reducing it. In a multisite study of new graduate nurses in hospitals in three states, those whose hospitals ran structured transition programs reported fewer patient care errors and unsafe practices, lower stress, and greater competence and job satisfaction (Spector et al., 2015). A decade of data from a national post-baccalaureate residency found that retention of new graduates rose considerably in participating hospitals and that residents' ability to organize work, communicate, and lead clinically improved over the year (Goode et al., 2013). Together these findings suggest that a structured residency, rather than orientation alone, is a realistic response to Harlan Valley's largest workforce problem, and one the state's grant program is designed to support.
SWOT Analysis
The SWOT is only as useful as its evidence. Helms and Nixon (2010), reviewing two decades of published SWOT applications, found the tool widely used but often applied superficially. Each entry in Table 1 therefore names its source.
| Category | Entry | Evidence |
|---|---|---|
| Strength | Local nursing schools graduate about 140 nurses a year within commuting distance | School enrollment data; recruitment records showing 58 percent of new hires from these programs |
| Strength | Experienced nurses report strong teamwork on most units | Engagement survey: teamwork item at 82 percent favorable |
| Weakness | First-year RN turnover of 31 percent | Human resources separation data, three fiscal years |
| Weakness | Contract labor spending up from $1.1 million to $4.6 million | Finance labor reports |
| Weakness | Heart failure readmissions at 23.4 percent, no outpatient HF clinic | Quality reports; referral wait data |
| Opportunity | State workforce grants for structured transition programs | State announcement of grant cycle |
| Opportunity | Aging county population needing chronic disease care | County population projections |
| Threat | Readmission penalty of about $310,000 a year | Medicare payment notice; finance estimate |
| Threat | Competitor recruiting experienced nurses with bonuses | Exit interviews; regional job postings |
What the Scan Points To
Reading across the SWOT, two problems stand out because they are costly, measurable, and matched by an opportunity. The first is new graduate turnover, where local graduates and state grants can support a residency program that would reduce reliance on contract labor. The second is heart failure readmissions, where the absence of early follow-up, a median 19-day wait, can be addressed by a hospital-based transitional clinic, and where evidence links early follow-up after discharge to lower readmission rates (Hernandez et al., 2010). The division's strategic objectives, developed in the next module, will focus on these two areas rather than spreading effort across every weakness.
Limitations of the Scan
The scan relies on three years of internal data, which may not capture longer cycles. Exit interview responses come from those who chose to participate. Readmission rates are for all payers combined and may differ from the Medicare measure used for penalties. The scan will be updated annually and before any major investment decision.
Conclusion
Harlan Valley's nursing division faces a costly cycle of new graduate turnover and contract labor, and a heart failure readmission rate well above what peer hospitals have reached. The scan identifies local graduates, state grants, and a clear gap in post-discharge follow-up as openings. These findings will shape measurable objectives and the financial analyses that follow.
References
Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987-1993. https://doi.org/10.1001/jama.288.16.1987
Goode, C. J., Lynn, M. R., McElroy, D., Bednash, G. D., & Murray, B. (2013). Lessons learned from 10 years of research on a post-baccalaureate nurse residency program. Journal of Nursing Administration, 43(2), 73-79. https://doi.org/10.1097/NNA.0b013e31827f205c
Helms, M. M., & Nixon, J. (2010). Exploring SWOT analysis: Where are we now? A review of academic research from the last decade. Journal of Strategy and Management, 3(3), 215-251. https://doi.org/10.1108/17554251011064837
Hernandez, A. F., Greiner, M. A., Fonarow, G. C., Hammill, B. G., Heidenreich, P. A., Yancy, C. W., Peterson, E. D., & Curtis, L. H. (2010). Relationship between early physician follow-up and 30-day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA, 303(17), 1716-1722. https://doi.org/10.1001/jama.2010.533
Spector, N., Blegen, M. A., Silvestre, J., Barnsteiner, J., Lynn, M. R., Ulrich, B., Fogg, L., & Alexander, M. (2015). Transition to practice study in hospital settings. Journal of Nursing Regulation, 5(4), 24-38. https://doi.org/10.1016/S2155-8256(15)30031-4
Zuckerman, R. B., Sheingold, S. H., Orav, E. J., Ruhter, J., & Epstein, A. M. (2016). Readmissions, observation, and the Hospital Readmissions Reduction Program. New England Journal of Medicine, 374(16), 1543-1551. https://doi.org/10.1056/NEJMsa1513024
How this DNP 885 Module 1 example is structured
DNP885 opens with the planning cycle: mission, environmental scanning and SWOT analysis done with evidence rather than adjectives. Aspen does not publish module deliverables, so check your classroom for the exact prompt. This example states scope and sources, scans internal and external data, ties findings to published evidence, builds a sourced SWOT and prioritizes.
DNP885 Module 1 questions, answered
What does DNP885 Module 1 usually ask for?
Early work in DNP885 typically asks for an environmental scan and SWOT analysis of an organization or service, grounded in data and evidence, as the first step in strategic planning. Aspen does not publish module deliverables, so your classroom's instructions govern.
How do I make a SWOT analysis evidence-based?
Pair every strength, weakness, opportunity and threat with its source, such as internal reports, survey results, policy documents or published research, and leave out entries you cannot support.
What should an environmental scan lead to?
A short list of priorities where the problem is significant, measurable and matched by an opportunity, which then become the basis for strategic objectives.
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