HLTH 6840 Week 11 Complete Policy Analysis Example

Policy Analysis: A Phased Minimum Nurse Ratio for Medical-Surgical Units, From Problem to Rollout

Student Name

Walden University

HLTH 6840: Health Policy and Management

Instructor Name

Month Day, Year

Policy Analysis: A Phased Minimum Nurse Ratio for Medical-Surgical Units, From Problem to Rollout

Summary

Bedside nurses caring for adult medical and surgical patients in the composite state's general hospitals carry workloads that vary widely and, at the high end, are associated with more patient deaths and more nurse burnout. Judged on five criteria set before any option was considered, a phased minimum ratio, five patients per nurse after one year and four after three, with funded enforcement, a time-limited variance and public reporting, outperforms both the status quo and staffing committees. It carries a substantial cost to hospitals, partly offset by shorter stays and fewer readmissions. This analysis recommends it and sets out how it would be rolled out and evaluated. Each section below builds on the one before it, following a standard sequence for policy analysis (Bardach & Patashnik, 2020).

The Problem

As defined in week three, the problem is that nurses on the state's medical-surgical units routinely hold more patients at once than studies link with safe care. A state nurse survey put the day-shift average just above five and a half patients per nurse, with wide gaps between hospitals (illustrative figures). Research links heavier workloads to higher odds of death within 30 days, failure to rescue and nurse burnout (Aiken et al., 2002; Lasater et al., 2021), and exposure to understaffed shifts to higher mortality (Needleman et al., 2011). Its boundary excludes intensive care, emergency departments and nursing homes, and it does not claim that workload is the only cause of poor outcomes.

The Criteria

Options were judged on five criteria, set before any option was considered and not revised afterward: patient outcomes (35%), workforce effects (15%), cost to hospitals and the state net of offsets (20%), feasibility and administrability (15%) and equity across hospitals (15%). An alternative weighting raising cost to equal patient outcomes was used to test whether the recommendation depends on the weights.

The Options and the Comparison

Three options were compared: the status quo, a phased ratio with variance and reporting and staffing committees with public reporting. The phased ratio scored 3.65 under the settled weights, against 3.20 for committees and 2.40 for the status quo, and remained first under the alternative weighting. Its advantage rests mainly on patient outcomes, where the evidence from California and Queensland is stronger than for committee-based approaches (Aiken et al., 2010; McHugh et al., 2021). Its weaknesses are cost and feasibility, which the variance process and phasing are designed to address. Committees score well on feasibility and cost but set no floor and have less outcome evidence.

Stakeholders and Design

The stakeholder map identified rural and safety-net hospitals as absorbing the most cost relative to their means, appropriations committees as controlling enforcement capacity and nurse managers as carrying most of the daily work. Those findings shaped three design features: a variance limited to two years and tied to documented recruitment, enforcement funding written into the bill and reports drawn from the scheduling data hospitals keep anyway. Without them, the option's feasibility and equity ratings would fall.

Cost

On base-case assumptions, the ratio would cost hospitals a net of roughly $80 million to $95 million a year during phase 1 and $240 million to $280 million a year during phase 2, with the state paying about $440,000 a year for enforcement (illustrative figures for the composite state). The largest uncertainty is offsets: evaluations elsewhere found avoided costs exceeding the cost of added nurses (McHugh et al., 2021), which would turn the policy into a net saving for the health system, though not necessarily for each hospital.

Why Not the Alternatives

The status quo was rejected because it leaves the wide variation in workloads, and the harm associated with the heaviest of them, in place. Staffing committees were the closest alternative. They are cheaper and easier to administer and give bedside nurses a voice, and a state short of inspectors could sensibly begin with them. They were not chosen because they set no floor, because their outcome evidence is weaker and because, without a defined consequence when a plan is not followed, a committee's plan can drift into an aspiration that no one enforces. Elements of the committee approach, especially public reporting and nurse involvement through the advisory group, are carried into the recommendation.

How Each Part Connects

Each part of the analysis rests on the one before it. The problem definition set the measure, patients per nurse on medical-surgical shifts, that the criteria use to judge outcomes. The criteria, fixed before options were scored, produced the ranking. The stakeholder map turned the ranking into a design by identifying who would absorb costs and who could slow the policy. The budget impact quantified those costs with stated assumptions. And the implementation plan turned the design into a sequence with owners. A reader who disagrees with the recommendation can trace the disagreement to a specific link, such as a weight, an assumption or a design choice, which is the purpose of building the analysis this way.

Recommendation

The state should enact the phased minimum ratio for medical-surgical units, five patients per registered nurse twelve months after enactment and four after thirty-six months, with three features: a variance of no more than two years for hospitals that document recruitment efforts, four funded health department positions for rules and enforcement and quarterly public reporting of compliance by unit, including support staffing. The committee should also fund an evaluation of outcomes and offsets in the state's own hospitals.

Rollout

Implementation would follow the plan in week seven: staffing and an advisory group in months 0 to 2, draft rules in months 2 to 6, final rules at month 6, hospital preparation and variance decisions in months 6 to 12, phase 1 at month 12, first reports at month 15, a phase 2 readiness review at month 30, phase 2 at month 36 and a report to the legislature at month 48. Process measures, rules on time, reports filed and shifts meeting the ratio, would be tracked from the start, with outcome and offset measures in the month 48 report.

Limits

The analysis rests on research from other states and countries applied to a composite state, on cost assumptions that are illustrative and on judgments in setting weights. The strongest uncertainty is how quickly hospitals could recruit, which affects feasibility, agency costs and the risk of bed closures in rural areas. The recommendation is therefore paired with a review point and an evaluation, so that the state can adjust the second phase on evidence from the first.

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

Aiken, L. H., Sloane, D. M., Cimiotti, J. P., Clarke, S. P., Flynn, L., Seago, J. A., Spetz, J., & Smith, H. L. (2010). Implications of the California nurse staffing mandate for other states. Health Services Research, 45(4), 904-921. https://doi.org/10.1111/j.1475-6773.2010.01114.x

Bardach, E., & Patashnik, E. M. (2020). A practical guide for policy analysis: The eightfold path to more effective problem solving (6th ed.). CQ Press.

Lasater, K. B., Aiken, L. H., Sloane, D. M., French, R., Martin, B., Alexander, M., & McHugh, M. D. (2021). Patient outcomes and cost savings associated with hospital safe nurse staffing legislation: An observational study. BMJ Open, 11(12), Article e052899. https://doi.org/10.1136/bmjopen-2021-052899

McHugh, M. D., Aiken, L. H., Sloane, D. M., Windsor, C., Douglas, C., & Yates, P. (2021). Effects of nurse-to-patient ratio legislation on nurse staffing and patient mortality, readmissions, and length of stay: A prospective study in a panel of hospitals. The Lancet, 397(10288), 1905-1913. https://doi.org/10.1016/S0140-6736(21)00768-6

Needleman, J., Buerhaus, P., Pankratz, V. S., Leibson, C. L., Stevens, S. R., & Harris, M. (2011). Nurse staffing and inpatient hospital mortality. New England Journal of Medicine, 364(11), 1037-1045. https://doi.org/10.1056/NEJMsa1001025