{
  "title": "Menopause Diagnosis Statistics Derived Calculations",
  "version": "1.1",
  "published_date": "2026-07-31",
  "last_verified": "2026-08-01",
  "canonical_page": "https://thehrtindex.com/research/menopause-diagnosis-statistics/",
  "description": "Raw inputs, formulas, derived values, interpretations, and limitations for every original arithmetic result used in the page.",
  "rounding_rule": "Calculations retain at least six decimal places in this file. Display values use the precision shown in the article. Source-published rounded values remain identified separately.",
  "records": [
    {
      "calculation_id": "pcornet_age_0_9",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "0–9",
      "numerator": "1898",
      "denominator": "3256539",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "0.058283",
      "display_value": "0.06%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_10_19",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "10–19",
      "numerator": "4009",
      "denominator": "3150721",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "0.127241",
      "display_value": "0.13%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_20_34",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "20–34",
      "numerator": "23721",
      "denominator": "5082956",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "0.466677",
      "display_value": "0.47%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_35_54",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "35–54",
      "numerator": "572791",
      "denominator": "6898408",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "8.303235",
      "display_value": "8.30%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_55_64",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "55–64",
      "numerator": "662016",
      "denominator": "3525577",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "18.777522",
      "display_value": "18.78%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_65_74",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "65–74",
      "numerator": "885785",
      "denominator": "3435779",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "25.781198",
      "display_value": "25.78%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_75",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "75+",
      "numerator": "559989",
      "denominator": "2858223",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "19.592208",
      "display_value": "19.59%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_age_all_ages",
      "calculation_group": "PCORnet age-specific documented-code rate",
      "label": "All ages",
      "numerator": "2710209",
      "denominator": "28208203",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "9.607875",
      "display_value": "9.61%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 1",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Female patients in the age group with a menopause-related code during 2020–2024 as a percentage of female patients in the same age group meeting PCORnet’s 2024 active-patient criteria: a face-to-face encounter and recorded diagnosis code at a participating site.",
      "limitations": "Not biological menopause prevalence, age at onset, age at first diagnosis, or a nationally representative population rate."
    },
    {
      "calculation_id": "pcornet_adi_q1",
      "calculation_group": "PCORnet Area Deprivation Index documented-code rate",
      "label": "Q1, higher socioeconomic status",
      "numerator": "1184454",
      "denominator": "10631580",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "11.140903",
      "display_value": "11.14%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 2",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Unadjusted documented-code rate among patients assigned to the stated ADI quartile.",
      "limitations": "Missing ADI records excluded; aggregate unadjusted association; ADI was applied at five-digit ZIP level although designed for finer geography; no causal inference."
    },
    {
      "calculation_id": "pcornet_adi_q2",
      "calculation_group": "PCORnet Area Deprivation Index documented-code rate",
      "label": "Q2",
      "numerator": "483800",
      "denominator": "4976851",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "9.721006",
      "display_value": "9.72%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 2",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Unadjusted documented-code rate among patients assigned to the stated ADI quartile.",
      "limitations": "Missing ADI records excluded; aggregate unadjusted association; ADI was applied at five-digit ZIP level although designed for finer geography; no causal inference."
    },
    {
      "calculation_id": "pcornet_adi_q3",
      "calculation_group": "PCORnet Area Deprivation Index documented-code rate",
      "label": "Q3",
      "numerator": "514165",
      "denominator": "5651148",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "9.098417",
      "display_value": "9.10%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 2",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Unadjusted documented-code rate among patients assigned to the stated ADI quartile.",
      "limitations": "Missing ADI records excluded; aggregate unadjusted association; ADI was applied at five-digit ZIP level although designed for finer geography; no causal inference."
    },
    {
      "calculation_id": "pcornet_adi_q4",
      "calculation_group": "PCORnet Area Deprivation Index documented-code rate",
      "label": "Q4, lower socioeconomic status",
      "numerator": "359744",
      "denominator": "4721152",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "7.619835",
      "display_value": "7.62%",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 2",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Unadjusted documented-code rate among patients assigned to the stated ADI quartile.",
      "limitations": "Missing ADI records excluded; aggregate unadjusted association; ADI was applied at five-digit ZIP level although designed for finer geography; no causal inference."
    },
    {
      "calculation_id": "pcornet_adi_q1_vs_q4_relative_difference",
      "calculation_group": "PCORnet Area Deprivation Index comparison",
      "label": "Q1 rate relative to Q4 rate",
      "numerator": "",
      "denominator": "",
      "input_a": "11.140902857",
      "input_b": "7.619835159",
      "input_c": "",
      "derived_value": "46.209237",
      "display_value": "46.2% higher",
      "unit": "relative percent difference",
      "formula": "(Q1 rate / Q4 rate − 1) × 100",
      "source_table_or_section": "PCORnet Table 2",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "The unadjusted Q1 documented-code rate is 46.2% higher than the unadjusted Q4 rate.",
      "limitations": "Descriptive aggregate comparison; not adjusted and not causal."
    },
    {
      "calculation_id": "pcornet_n951_or_n959_union_bound",
      "calculation_group": "PCORnet code-scope bound",
      "label": "Share of full PCORnet menopause-coded cohort carrying N95.1 or N95.9",
      "numerator": "",
      "denominator": "2710209",
      "input_a": "671009",
      "input_b": "95751",
      "input_c": "",
      "derived_value": "24.758570 to 28.291545",
      "display_value": "24.8%–28.3%",
      "unit": "percent bound",
      "formula": "Lower bound = N95.1 / full cohort × 100; upper bound = (N95.1 + N95.9) / full cohort × 100",
      "source_table_or_section": "PCORnet Table 4",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Because overlap is unpublished, the unique N95.1-or-N95.9 group must be at least the larger single-code group and no larger than the sum.",
      "limitations": "Does not reveal the actual overlap and cannot reconcile results from different databases or cohorts."
    },
    {
      "calculation_id": "pcornet_n95_child_count_excess_over_unique_combined_group",
      "calculation_group": "PCORnet overlapping-code arithmetic",
      "label": "Sum of five N95 child-code counts minus unique combined N95 group",
      "numerator": "",
      "denominator": "",
      "input_a": "1694442",
      "input_b": "1467175",
      "input_c": "",
      "derived_value": "227267",
      "display_value": "227,267 excess child-code counts",
      "unit": "counts",
      "formula": "sum of N95.0, N95.1, N95.2, N95.8, and N95.9 counts − unique combined N95 category count",
      "source_table_or_section": "PCORnet Table 4",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "The excess proves overlap among the five published child-code counts.",
      "limitations": "It is not the number of patients with multiple codes because one patient may appear in more than two child rows."
    },
    {
      "calculation_id": "pcornet_hot_flash_medication_total_female_rate",
      "calculation_group": "PCORnet medication classification",
      "label": "Female patients with a 2024 prescription in PCORnet’s medications-for-hot-flashes class",
      "numerator": "11465",
      "denominator": "28208203",
      "input_a": "",
      "input_b": "",
      "input_c": "",
      "derived_value": "0.040644",
      "display_value": "0.0406% (about 4 in 10,000)",
      "unit": "percent",
      "formula": "numerator / denominator × 100",
      "source_table_or_section": "PCORnet Table 5",
      "source_url": "https://pcornet.org/wp-content/uploads/2026/07/PCORnet-Population-Insights-Report_Menopause_2026-07-101.pdf",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Share of the full PCORnet female-patient denominator with a 2024 prescription in the report’s narrow hot-flash-medication class.",
      "limitations": "Not all hot-flash treatment; other medication classes, including hormonal therapy, can be used for vasomotor symptoms."
    },
    {
      "calculation_id": "hcci_unique_women_relative_increase",
      "calculation_group": "HCCI annual unique-woman percentage",
      "label": "13.7% in 2018 to 14.7% in 2022",
      "numerator": "",
      "denominator": "",
      "input_a": "13.7",
      "input_b": "14.7",
      "input_c": "",
      "derived_value": "7.299270",
      "display_value": "7.3% relative increase; 1.0 percentage point",
      "unit": "relative percent change",
      "formula": "(ending value / starting value − 1) × 100",
      "source_table_or_section": "HCCI public data brief",
      "source_url": "https://healthcostinstitute.org/all-hcci-reports/hcci-data-brief/",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Relative change between the source’s published endpoints.",
      "limitations": "Rounded source endpoints; HCCI’s unique-woman percentage and service-date rates are different metrics and must not be substituted."
    },
    {
      "calculation_id": "hcci_service_date_rate_relative_increase",
      "calculation_group": "HCCI average monthly encounter service-date rate",
      "label": "1,793 to 1,969 per 100,000",
      "numerator": "",
      "denominator": "",
      "input_a": "1793",
      "input_b": "1969",
      "input_c": "",
      "derived_value": "9.815951",
      "display_value": "9.8% relative increase",
      "unit": "relative percent change",
      "formula": "(ending value / starting value − 1) × 100",
      "source_table_or_section": "HCCI public data brief",
      "source_url": "https://healthcostinstitute.org/all-hcci-reports/hcci-data-brief/",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Relative change between the source’s published endpoints.",
      "limitations": "Rounded source endpoints; HCCI’s unique-woman percentage and service-date rates are different metrics and must not be substituted."
    },
    {
      "calculation_id": "hcci_symptomatic_service_date_rate_relative_increase",
      "calculation_group": "HCCI symptomatic-menopause service-date rate",
      "label": "757 to 840 per 100,000",
      "numerator": "",
      "denominator": "",
      "input_a": "757",
      "input_b": "840",
      "input_c": "",
      "derived_value": "10.964333",
      "display_value": "11.0% relative increase",
      "unit": "relative percent change",
      "formula": "(ending value / starting value − 1) × 100",
      "source_table_or_section": "HCCI public data brief",
      "source_url": "https://healthcostinstitute.org/all-hcci-reports/hcci-data-brief/",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Relative change between the source’s published endpoints.",
      "limitations": "Rounded source endpoints; HCCI’s unique-woman percentage and service-date rates are different metrics and must not be substituted."
    },
    {
      "calculation_id": "hcci_pa_np_share_relative_increase",
      "calculation_group": "HCCI PA/NP share of recorded diagnoses",
      "label": "9.3% in 2018 to 13.8% in 2022",
      "numerator": "",
      "denominator": "",
      "input_a": "9.3",
      "input_b": "13.8",
      "input_c": "",
      "derived_value": "48.387097",
      "display_value": "48.4% relative increase",
      "unit": "relative percent change",
      "formula": "(ending value / starting value − 1) × 100",
      "source_table_or_section": "HCCI public data brief",
      "source_url": "https://healthcostinstitute.org/all-hcci-reports/hcci-data-brief/",
      "calculation_date": "2026-08-01",
      "calculation_owner": "The HRT Index calculation",
      "interpretation": "Relative change between the source’s published endpoints.",
      "limitations": "Rounded source endpoints; HCCI’s unique-woman percentage and service-date rates are different metrics and must not be substituted."
    }
  ]
}