How to Reduce Overtime in Long-Term Care

Overtime is quietly eating your budget. In most long-term care facilities, it's the single largest controllable labor cost — and the one operators have the most power to change.

The Bureau of Labor Statistics reports that nursing and residential care facilities consistently rank among the highest overtime industries in the U.S. For a typical 120-bed skilled nursing facility, uncontrolled overtime can cost $150,000–$400,000 per year. Across a portfolio of 10+ buildings, that number climbs into the millions.

The frustrating part? Most of that overtime is preventable. Not with hiring freezes or mandatory limits that burn out your staff — but with better scheduling practices, real-time visibility, and a system that surfaces problems before they become expensive.

Here's what's actually working for operators who've made meaningful progress.

Why overtime spirals in long-term care

Before jumping to solutions, it's worth understanding why LTC is structurally prone to overtime in ways that other industries aren't.

24/7 coverage requirements. You can't close the building. Minimum staffing ratios aren't suggestions — they're regulatory requirements tied to your CMS star ratings and survey outcomes. When someone calls out, the shift gets filled no matter what it costs.

Last-minute callouts. Senior living has some of the highest unplanned absence rates of any industry. A 2024 AHCA workforce survey found that 67% of facilities report daily or near-daily callouts. Each one triggers a cascade: calls to off-duty staff, shift extensions, or — worst case — agency placement at 2–3x the cost.

Manual scheduling. Many facilities still build schedules on paper, in spreadsheets, or in systems that don't flag overtime risk until it's already happened. By the time a scheduler realizes someone is heading into overtime territory, the shift is already worked and the cost is locked in.

Disconnected systems. When scheduling and timekeeping live in separate tools, overtime visibility is always retrospective. You find out about the problem on the payroll report, not when you can still prevent it.

The real cost of overtime

Overtime isn't just time-and-a-half. The total cost is higher than most operators calculate.

Direct costs

For multi-facility operators, multiply by the number of buildings. A 20-facility network with average overtime patterns can easily spend $3–5 million per year on overtime alone.

Indirect costs

Burnout and turnover. Staff working consistent overtime leave faster. Replacing a CNA costs $3,000–$5,000 in recruiting, onboarding, and lost productivity. Replacing an RN costs $30,000–$50,000. Every overtime-driven resignation is a compounding expense.

Care quality. Fatigued staff make more errors. A study published in the Journal of the American Geriatrics Society found that nursing home staff working overtime had significantly higher rates of medication errors and falls incidents.

Compliance exposure. CMS examines staffing patterns through PBJ data. Facilities that rely on overtime to meet ratios — rather than adequate baseline staffing — create a pattern that surveyors notice during recertification.

Seven strategies that actually reduce overtime

These aren't theoretical. They come from operators running 5 to 200+ facilities who've made measurable progress — in some cases cutting overtime by 50–79% within a single pay period.

1. Make overtime visible before it happens

The single most impactful change is shifting from retrospective overtime reporting to predictive overtime visibility. If your scheduler can see that publishing this week's schedule will put three CNAs into overtime territory, they can adjust before the shifts are worked.

This requires scheduling and timekeeping data in one place. When those systems are disconnected, overtime visibility is always a payroll-day surprise.

Operators using connected scheduling platforms report that overtime guardrails alone reduce OT by 20–30% — before any other changes.

2. Optimize schedule design, not just schedule filling

Most schedulers spend their time filling gaps reactively. The bigger opportunity is in schedule design — building templates that minimize overtime structurally.

Key practices:

• Map coverage needs to census, not to tradition. If your weekend census drops 15%, your weekend schedule should reflect that.
• Stagger start times rather than running everyone on the same 7-3-11 pattern. Overlapping shifts during high-acuity windows (meals, medication passes) reduces the need for overtime extensions.
• Balance hours across staff before the schedule publishes. If one CNA is at 38 hours and another is at 32, that's a scheduling problem, not a staffing problem.

3. Fill open shifts with internal staff first

When a shift opens, the default at many facilities is to extend whoever is already there — which creates overtime. A better sequence:

1. Broadcast to part-time and PRN staff who have hours available
2. Offer to float pool across your network (if multi-facility)
3. Offer to full-time staff who are under 40 hours
4. Then extend the current shift holder (accepting the OT cost)
5. Last resort: agency

The key is speed. If your process for offering open shifts takes hours of phone calls, you'll always default to the overtime extension because it's easier. Mobile-based shift pickup — where staff can claim an open shift in seconds from their phone — changes the math entirely.

Facilities that implement automated open shift broadcasting typically see open shift fill rates improve by 40–60%, with a corresponding drop in overtime and agency usage.

4. Set overtime policies at the right level

Not all overtime policies should be facility-wide. The most effective operators set overtime guardrails at three levels:

• Facility level: Hard cap (e.g., no employee exceeds 48 hours without director approval)
• Position level: Tighter controls on high-cost positions (RNs) vs. more flexibility on lower-cost ones
• Individual level: Known overtime risks (staff who consistently pick up extra shifts) get proactive monitoring

The goal isn't zero overtime — that's unrealistic in 24/7 care. The goal is intentional overtime: every hour of OT is a conscious decision with a known cost, not an accident of poor scheduling.

5. Address the root causes, not just the symptom

Overtime is almost always a symptom. The root causes vary:

• Chronic understaffing in specific positions. If your night-shift LPN role has been open for 6 months, no amount of scheduling optimization will fix the overtime problem. Recruit for the specific gap.
• Unbalanced schedules. Some staff consistently get overloaded while others are under-scheduled. This is a template problem, not a people problem.
• Callout patterns. Track which days, shifts, and positions have the highest callout rates. If every other Friday night shift gets a callout, that's a predictable event you can staff for.
• Credential mismatches. Overtime sometimes happens because the only available person doesn't have the right credentials for the open shift. Better credential tracking prevents this.

6. Use reporting to hold the line

Reducing overtime isn't a one-time project — it's an ongoing discipline. The operators who sustain reductions are the ones who track overtime weekly at the facility and corporate level.

Key metrics to monitor:

• Overtime hours per pay period (absolute and as % of total hours)
• Overtime dollars (tracks the actual budget impact)
• Overtime by position and shift (identifies where the problem concentrates)
• Overtime trend (are you improving or sliding back?)
• Top overtime earners (not to punish — to understand the pattern)

When leadership reviews overtime data weekly, facilities stay accountable. When it's reviewed monthly or quarterly, the gains erode.

7. Invest in retention to reduce the structural gap

Every position that stays filled is overtime you don't have to work. The connection between retention and overtime is direct: high turnover creates understaffing, understaffing creates overtime, overtime creates burnout, burnout creates more turnover.

Breaking this cycle requires investment in the things that keep staff:

• Predictable schedules published 2+ weeks in advance
• Self-service shift swaps and time-off requests
• Transparent pay practices (differentials, premium shifts)
• Same-day or next-day pay access
• Recognition and career development

These aren't just "nice to have" retention perks. They're operational levers that directly reduce overtime spend. A facility that retains one additional CNA for a year avoids $17,000–$20,000 in overtime costs from that single vacancy — plus the $3,000–$5,000 recruiting cost.

What operators are actually achieving

The strategies above aren't hypothetical. Operators implementing connected scheduling with overtime guardrails are seeing measurable results:

• 79% overtime reduction at a skilled nursing facility within the first full scheduling cycle
• $792,000 in annual labor savings at a single community through schedule optimization
• $300,000+ average annual savings across facilities using intelligent scheduling
• 70+ hours per month freed for administrators who no longer manually manage overtime
• A 45-community comparison study showed consistent overtime reduction across different facility sizes and acuity levels

These results come from making overtime visible, making open shifts fillable, and giving schedulers the tools to design schedules that prevent overtime structurally — not just react to it.

The bottom line

Overtime in long-term care isn't inevitable. It feels inevitable because most operators are managing it with tools and processes that were never designed for 24/7 care environments.

The operators making real progress share three things in common:

1. Visibility — they see overtime risk before it becomes overtime cost
2. Speed — they fill open shifts with internal staff in minutes, not hours
3. Discipline — they track overtime weekly and hold every facility accountable

The math makes the case on its own. Converting just 10 hours of weekly overtime per facility to regular-time coverage saves $8,500+ per facility per year. Across a portfolio, that's the difference between budget pressure and budget flexibility.

The question for most operators isn't whether overtime is a problem. It's how long they're willing to keep paying for it.