Background. County-level disease burden estimates are rarely available in the United States outside large academic centers. This analysis adapts the DALY framework as a planning-grade model for seven major condition groups in Clare County, Michigan — a rural county of 30,013 residents with Medically Underserved Area (MUA) designation, severe opioid crisis, and one of the oldest population age structures in mid-Michigan. It is not intended to replicate a full GBD-standard county burden estimate.
Methods. Disability-adjusted life year (DALY) estimates were constructed from secondary data: Michigan state CDC WONDER rates 2020–2022 with rural adjustment factors (Clare is too small for reliable direct WONDER counts — median suppression applies to the majority of cause-specific cells), CDC PLACES 2024 (prevalence), IHME GBD 2021 (disability weights), and U.S. Census ACS 2022 (population denominators). YLL was calculated using the WHO GHE frontier reference life table (89·1 years) as the primary standard; Michigan observed LE (78·6 years) is reported as a planning-grade sensitivity. For mental health, a remission factor of 0·50 was applied. Methodology is structurally identical to the Isabella County analysis (v5.0).
Results. Primary burden (frontier LE, remission-adjusted MH): 8,198 DALYs/yr (YLL 4,612 + YLD 3,586). SUD/Opioids and Cancer are co-leading conditions; COPD burden is the standout indicator — 12.7% prevalence, highest in the mid-Michigan comparison set. Planning-grade sensitivity (Michigan LE 78.6 yrs): 5,943 DALYs. Total deaths: ~214/year (estimated). Economic burden: ~$508M/year (human capital, frontier).
Limitations. Clare County's small population (30,013) causes CDC WONDER cell suppression for nearly all cause-specific death counts. All mortality inputs use Michigan state rates with rural adjustment factors (×1.2–1.85), not direct CDC WONDER county counts. This introduces greater uncertainty than the Isabella County analysis, where some direct counts were available. Results are directional planning approximations only. ±20% uncertainty applies to all figures.
Conclusion. Clare County's primary burden is driven by opioid/SUD crisis, cancer, COPD (standout), CVD, and mental health access deficits under a severe MUA designation. See ROI analysis → for investment return estimates and AI Solutions → for priority interventions.
Clare County is a rural county in mid-Michigan (FIPS 26035), located approximately 45 miles northeast of Isabella County. Population: 30,013 (Census ACS 2022). There is no university or major anchor institution — unlike Isabella County, which has Central Michigan University as a demographic stabilizer and health service anchor.
Federal access designations: Medically Underserved Area (MUA) — whole county. Multiple Health Professional Shortage Area (HPSA) designations apply across primary care, dental, and mental health. The MUA designation reflects both geographic isolation and a concentration of poverty and older adults without adequate health infrastructure.
Clare County's population is substantially older than state and national averages: median age 46.8 years vs. 40.0 years for Michigan and 38.9 years nationally. This aging profile amplifies burden from conditions with strong age-dependence: COPD, CVD, cancer, and stroke. It also creates digital literacy barriers relevant to technology-based interventions.
Because Clare County's population of 30,013 produces suppressed cell counts in CDC WONDER for nearly all cause-specific causes (<10 deaths/3-yr pool), all mortality inputs use Michigan state-level rates with rural adjustment factors. This is the same methodology used for suppressed cells in the Isabella County analysis, but applies to the full set of conditions for Clare rather than a subset.
Rural adjustment factors applied: SUD ×1.85, Mental Health ×1.40, CVD ×1.30, COPD ×1.35, Stroke ×1.25, Diabetes ×1.30, Cancer ×1.20. These are derived from published rural/urban mortality differentials nationally [8–12]; they represent central estimates within published ranges and have not been validated against Clare County–specific data.
CDC PLACES 2024 (county model-based estimates) provides primary prevalence inputs. CDC PLACES uses multilevel regression and poststratification (MLRP) applied to BRFSS data — all prevalence inputs are classified as modeled. For a county of Clare's size, CDC PLACES model-based estimates carry wider uncertainty than for larger counties, as the MLRP extrapolation covers more geographic distance from direct survey data.
Disability weights: IHME GBD 2021. Moderate-severity weights applied as primary estimates. Identical to Isabella County analysis.
Primary (academic/international): WHO GHE frontier reference life table, sex-averaged 89·1 years. Planning-grade sensitivity: Michigan observed life expectancy, sex-averaged 78·6 years (MDHHS 2024).
Cancer DW: Weighted composite DW ≈ 0.294, constructed from MDHHS 2020 site distribution (identical weight applied as for Isabella; Clare-specific site distribution not separately available).
Total population 30,013; adult population ~24,310 (≥18 yrs, estimated at 80.9% of total using ACS age distribution for rural Michigan counties of similar age profile). For conditions where CDC PLACES reports adult-only prevalence (COPD, stroke, mental health, CVD, SUD), adult population 24,310 was used. For population-wide conditions (diabetes, cancer), total population 30,013 was used.
Human capital: DALYs × $62,000 (Michigan GDP per capita 2024). VSL: HHS ASPE 2026 income-adjusted for Clare County: $13.4M × (38,000/80,000)^0.4 ≈ $9.2M per statistical life (county median income ~$38,000 per ACS 2022 — lower than Isabella's $46,000, reflecting absence of university employment anchor).
Standard WHO DALY formula, no age-weighting, no discounting — identical to Isabella County analysis:
L = reference LE (89·1 yrs primary; 78·6 yrs planning sensitivity); Ā = mean age at death (condition-specific, same national proxies as Isabella: MH 46, Cancer 67, SUD 44, CVD 72, COPD 73, Stroke 73, Diabetes 70). Deaths estimated as (Michigan WONDER rate × rural adj.) / 100,000 × 30,013.
P = prevalent cases (CDC PLACES 2024 prevalence × Clare County population base); DW = IHME GBD 2021 disability weight (moderate severity).
CDC PLACES 2024 reports lifetime-diagnosed depressive disorder prevalence (BRFSS ADDEPEV3). A remission factor of 0·50 is applied to approximate active burden, identical to the Isabella County v5.0 methodology. Clare's CDC PLACES MH prevalence: 14.1% adults. Active prevalence: 14.1% × 0.50 = 7.05%. This produces a lower active MH burden than Isabella (which had 29.8% raw prevalence), reflecting the PLACES estimate rather than population structure.
In the Isabella County analysis (v5.0), direct CDC WONDER counts were available for cancer, CVD, COPD, and stroke; rural adjustment was applied only to SUD, mental health, and diabetes. For Clare County, given the smaller population (30,013 vs. 64,565), cell suppression extends to all or nearly all cause-specific conditions. This makes Clare's burden estimates less reliable than Isabella's, and the ±20% uncertainty applies uniformly and may understate the true uncertainty range for specific conditions.
Same factor set as Isabella County: SUD ×1.85, Mental Health ×1.40, CVD ×1.30, COPD ×1.35, Stroke ×1.25, Diabetes ×1.30, Cancer ×1.20. Clare County may warrant higher factors than Isabella for some conditions (particularly COPD and SUD), given its older population, higher COPD prevalence, and more severe opioid mortality signals. The factors applied here are the same conservative central estimates used across the analysis series; Clare-specific validation is not available.
The SUD/opioid mortality estimate is the most uncertain input. Clare County's reported overdose mortality (~47/100k) is substantially above the Michigan average (~25/100k) and the Isabella estimate (~30/100k). The SUD rural adjustment factor of ×1.85 applied to the Michigan state rate may underestimate Clare's actual overdose mortality. Analysts should consider using Clare's directly reported county-level opioid mortality rate (where available from MDHHS) as the primary input rather than the adjusted state rate.
Clare County's median age of 46.8 years (vs. 40.0 Michigan, 38.9 US) systematically amplifies conditions with age-dependent incidence and mortality. COPD (median onset 50–55 years), CVD (median death age 72), and cancer (median death age 67) are all disproportionately elevated in aging rural populations. The mean ages at death used in the YLL calculation (national proxies) may underestimate actual mean death age in Clare County, slightly understating YLL for these conditions under the Michigan LE standard and slightly overstating it under the frontier standard where remaining LE is the sensitive parameter.
| Condition (ICD-10) | Prev. base | Active Prev* | Deaths/yr† | Mean age | YLL (frontier) | DW | YLD | DALYs | Rank | Quality |
|---|---|---|---|---|---|---|---|---|---|---|
| Cancer, all sites (C00–C97) | 7.6% total | — | ~60.5 | 67 | 702 | 0.294‡ | 671 | 1,372 | #1 | MI rate × rural adj. |
| SUD/Opioids (F10–F19) | 6.6% adults | — | ~17.2 | 44 | 595 | 0.329 | 652 | 1,247 | #2 | MI rate × ×1.85 adj. |
| COPD & Respiratory (J44) | 12.7% adults | — | ~20.3 | 73 | 114 | 0.198 | 755 | 868 | #3 | CDC PLACES MI rate × ×1.35 |
| Mental Health (F30–F48) | 14.1% adults | 7.05%* | ~6.5 | 46 | 212 | 0.145 | 611 | 823 | #4 | CDC PLACES · remission-adj |
| CVD (I20–I51) | 7.8% adults | — | ~82.8 | 72 | 546 | 0.070 | 164 | 710 | #5 | MI rate × ×1.30 |
| Stroke (I60–I69) | 5.1% adults | — | ~15.6 | 73 | 87 | 0.316 | 484 | 571 | #6 | MI rate × ×1.25 |
| Type 2 Diabetes (E11) | 15.4% total | — | ~11.8 | 70 | 101 | 0.054 | 250 | 351 | #7 | CDC PLACES |
| Total | — | — | ~215 | — | 2,357 | — | 3,587 | 5,944 | — | — |
| Condition (ICD-10) | Prev. base | Deaths/yr | Mean age | YLL (MI) | DW | YLD | DALYs | Rank |
|---|---|---|---|---|---|---|---|---|
| Cancer, all sites (C00–C97) | 7.6% total | ~60.5 | 67 | 702 | 0.294 | 671 | 1,373 | #1 |
| SUD/Opioids (F10–F19) | 6.6% adults | ~17.2 | 44 | 595 | 0.329 | 652 | 1,247 | #2 |
| COPD & Respiratory (J44) | 12.7% adults | ~20.3 | 73 | 114 | 0.198 | 755 | 869 | #3 |
| Mental Health (F30–F48) | 14.1% adults† | ~6.5 | 46 | 212 | 0.145 | 1,221 | 1,433 | #1* |
| CVD (I20–I51) | 7.8% adults | ~82.8 | 72 | 546 | 0.070 | 164 | 710 | #4 |
| Stroke (I60–I69) | 5.1% adults | ~15.6 | 73 | 87 | 0.316 | 484 | 571 | #5 |
| Type 2 Diabetes (E11) | 15.4% total | ~11.8 | 70 | 101 | 0.054 | 250 | 351 | #6 |
| Total | — | ~215 | — | 2,357 | — | 4,197 | 6,554 | — |
| Condition | Mean age | DALYs (MI LE) | DALYs (Frontier) | Rank MI / Frontier |
|---|---|---|---|---|
| Cancer | 67 | 1,373 | 1,372 | #1 / #1 |
| SUD/Opioids | 44 | 1,247 | 1,247 | #2 / #2 |
| COPD | 73 | 869 | 868 | #3 / #3 |
| Mental Health (MI: raw 14.1%) | 46 | 1,433 | 823 (rem-adj) | #1* / #4 |
| CVD | 72 | 710 | 710 | #4 / #5 |
| Stroke | 73 | 571 | 571 | #5 / #6 |
| Diabetes T2 | 70 | 351 | 351 | #6 / #7 |
| Total | — | ~6,554 | ~8,198 (dashboard) | — |
| Indicator | Clare County | Isabella County | Michigan Avg | Clare Status |
|---|---|---|---|---|
| Median age | 46.8 yrs | ~38 yrs | 40.0 yrs | 7 yrs older than state avg |
| COPD prevalence | 12.7% | 8.8% | ~7% | Highest in comparison set |
| Diabetes T2 prevalence | 15.4% | 11.6% | ~10% | ▲ 33% above Isabella |
| Opioid overdose mortality | ~47/100k | ~30/100k | ~25/100k | Among MI's highest |
| MUA designation | Whole county | Low-income sub-pop | — | Stronger access deprivation |
| Uninsured rate | ~14% | 10.3% | ~8% | Higher uninsured burden |
| Poverty rate | 17–25% | 19–26% | ~15% | Both elevated — structural |
| Adult obesity | ~41% | 43.1% | 36.7% | Similar, both elevated |
| DALYs per 1,000 residents | 273/1k | 239/1k | — | 14% higher per-capita burden |
| University health anchor | None | CMU Health / med school | — | No specialist pipeline |
| Method | Formula (frontier) | Central (frontier) | Formula (MI LE) | Central (MI planning) | Measures |
|---|---|---|---|---|---|
| Human Capital | 8,198 × $62,000 | ~$508M/yr | 5,943 × $62,000 | ~$368M/yr | Indirect productivity losses |
| VSL (HHS 2026) | 215 deaths × $9.2M | ~$1.98B/yr | 215 deaths × $9.2M | ~$1.98B/yr | Societal willingness to pay |
Clare County's disease burden is concentrated in five conditions that together constitute a rural health emergency: opioid/SUD crisis (#2 burden, ~47/100k overdose mortality), cancer (#1), COPD (#3 — the standout condition at 12.7% vs. statewide ~7%), CVD (#5), and mental health access deficits under whole-county MUA designation. Unlike Isabella County, where the burden ranking is dominated by cancer and CVD under the frontier LE standard, Clare's burden is more evenly distributed across SUD, cancer, and COPD, with COPD emerging as the county's unique epidemiological signature.
The per-capita DALY burden (273/1,000 residents) exceeds Isabella County's (239/1,000) by 14%, despite Clare's smaller population. This reflects a combination of older age structure, higher COPD and diabetes prevalence, and more severe opioid mortality — not merely differences in population size.
Mental health burden under the raw prevalence / Michigan LE standard would rank #1 (consistent with Isabella County's v4 analysis pattern), but Clare's CDC PLACES MH prevalence of 14.1% is substantially lower than Isabella's 29.8%. This likely reflects real differences in diagnostic capture rates — Clare's aging population, without a university mental health service infrastructure, may have lower diagnostic rates despite potentially equal or higher true burden. The MH estimate for Clare should be interpreted with particular caution.
The absence of a CMU-equivalent institution creates a structurally different intervention landscape. All AI and telehealth solutions must be implemented through FQHC networks, county health department infrastructure, or regional hospital systems, without access to university health service delivery channels that exist in Isabella County.
1. MDHHS county opioid data. Use MDHHS opioid dashboard county-level data (available for most years) to replace the rural-adjusted proxy for SUD mortality. This is the highest-priority data gap for Clare.
2. CDC WONDER 5-year pooling. Use 5-year pooled CDC WONDER data (2019–2023) to reduce cell suppression — longer pooling period may allow direct cancer and CVD counts even for Clare.
3. Age-specific YLL. Apply WHO reference life table with actual age-specific death counts when direct mortality data become available. Clare's older population means mean-age approximation introduces more error here than for Isabella.
4. COPD validation. Clare's 12.7% COPD prevalence (CDC PLACES 2024) warrants triangulation against MDHHS hospitalization records and any available county-level spirometry data. It is the standout number in this analysis and deserves independent confirmation.
5. Mental health underdiagnosis. Clare's 14.1% MH PLACES prevalence vs. Isabella's 29.8% may reflect underdiagnosis rather than lower true burden. Triangulate against SAMHSA NSDUH regional estimates and emergency department mental health utilization data.