Abstract
Purpose
U.S. cancer survivors commonly use vitamins/minerals and complementary and alternative medicine (CAM). We compare use of vitamins/minerals and CAM by adult cancer survivors and cancer-free adults, and estimate annual out-of-pocket expenses.
Methods
Data on self-reported vitamin/mineral and CAM use in the past 12 months from the cross-sectional 2012 U.S. National Health Interview Survey were used to estimate prevalence of use and out-of-pocket expenditures. The cohort included adults with (n=2,977) and without (n=30,551) a self-reported cancer diagnosis.
Results
Approximately 79% of cancer survivors and 68% of cancer-free adults reported using ≥1 vitamins/minerals and/or CAM modality in the past year. Compared to cancer-free adults, cancer survivors were more likely to report use of vitamin/minerals (75% vs. 61%, P<0.001), herbal/non-vitamin supplements (24% vs. 19%, P<0.001), manipulative and body-based therapies (19% vs. 17%, P=0.03), and alternative medical systems (5% vs. 4%, P=0.04). Adult cancer survivors and cancer-free adults spent an annual estimated $6.7 billion and $52 billion out-of-pocket, respectively, on vitamins/minerals and CAM. Survivors spent 60% of the total on vitamins/minerals ($4 billion), 18% ($1.2 billion) on herbal/non-vitamin supplements, and 7% ($0.5 billion) on massage.
Conclusions
Compared with cancer-free adults, a higher proportion of cancer survivors report vitamin/mineral and CAM use. Cancer survivors, who accounted for 6.9% of the total population, accrued more than 11.4% of the annual out-of-pocket costs on vitamins/minerals and CAM spent by U.S. adults.
Implications for Cancer Survivors
Given the high use of vitamins/minerals and CAM in cancer survivors, studies are needed to analyze health outcomes and the cost:benefit ratio of such use.
Keywords: vitamins, complementary therapies, complementary medicine, healthcare costs, cancer
Introduction
Data from the 2007 National Health Interview Survey estimated that 38% of U.S. adults used complementary and alternative medicine (CAM) at a total out-of-pocket cost of $33.9 billion, approximately 1.5% of total U.S. healthcare expenses [1]. Estimates from the same dataset showed that over 65% of adult cancer survivors had ever used at least one form of CAM and 43% used CAM in the previous 12 months, identifying cancer survivors as one of the largest U.S. patient populations using CAM [2]. A systematic review of vitamin and mineral supplement use among adult cancer survivors between 1999 and 2006 showed that 64–81% of survivors reported use, which is higher than the general US population [3]. More recent estimates of vitamin/mineral and CAM use among US adults with and without cancer, and the cost of such use, has not been described.
CAM modalities include vitamins and minerals, natural products, mind-body modalities, body-based therapies, and energy therapies [4]. Some therapies require practitioner visits while others involve purchasing over-the-counter products or supplies. Despite a limited evidence base for many modalities, cancer survivors use CAM for a variety of reasons, including preventing and treating side effects of standard cancer treatments, improving cancer survival, preventing and managing comorbid conditions, promoting general health and wellness, and addressing issues poorly managed by standard medical care [5]. Studies suggest that survivors with specific cancer diagnoses use different amounts and types of CAM [6, 7]. Of cancer survivors, breast cancer survivors are the most likely to use CAM, specifically dietary supplements [6].
We used nationally representative data from the 2012 National Health Interview Survey (NHIS) to describe the use of vitamins/minerals and CAM by U.S. adults with and without cancer and to estimate total annual out-of-pocket expenses. We examined specific characteristics associated with use and with spending. We hypothesized that vitamins/minerals and CAM use would be high among cancer survivors, that use and spending patterns would differ by cancer type, and that use would be higher among cancer survivors than adults without a history of cancer.
Methods
Data
Analyses used data from the cross-sectional 2012 NHIS, a nationally representative sample of non-institutionalized U.S civilians. The NHIS is an interviewer-administered questionnaire conducted annually by the Centers for Disease Control (CDC). Beginning in 2002, and every 5 years thereafter, the NHIS included an Alternative Medicine questionnaire for adults. In 2007, the NHIS added questions on CAM cost. Details on the NHIS survey design and the development of the Adult Alternative Medicine questionnaire have previously been reported [8].
Study Population
Analyses included adults who self-reported ever having received any cancer diagnosis, excluding participants with solely non-melanoma skin cancer (“cancer survivors”), and adults without a history of cancer diagnosis (“cancer-free adults”). See Figure 1 for CONSORT diagram. Cancer survivors were categorized by cancer type: breast, prostate, melanoma, female genital system (including cervical, endometrial, uterine, and ovarian), colorectal, urinary (including bladder and kidney), hematologic malignancies (including blood cancers and leukemia), lung, non-colorectal gastrointestinal (including gallbladder, pancreas, liver, esophageal, and stomach), and other cancers (including lymphoma, thyroid, throat-pharynx, bone, testicular, mouth/tongue/lip, brain, soft tissue, larynx-windpipe, and other). Participants with a history of more than one type of cancer were included in multiple categories.
CAM use
The Adult Alternative Medicine questionnaire asked about use of CAM in the past 12 months. In 2012, the questionnaire included vitamins/minerals in addition to 17 categories of CAM modalities: non-vitamin/mineral natural products; massage; chiropractic or osteopathic manipulation; yoga, tai chi, and qi gong; acupuncture; movement and exercise techniques; energy healing therapy; naturopathy; mind-body therapy; homeopathy; craniosacral therapy; Ayurveda; traditional healers; special diets; hypnosis; biofeedback; and chelation. The 17 categories were collapsed into broader categories, including biologically based therapies, manipulative and body-based therapies, mind-body therapies, alternative medical systems, energy healing therapy, and special diets, as previously done [1]. Chelation was not included in the analyses because so few cancer survivors reported chelation use in the past 12 months (n=3). A participant was considered to be a user of a specific modality if they self-reported use, visited a practitioner, or attended a class in the past 12 months. To ascertain frequency of CAM use, depending on the type of modality, questions asked about the exact or approximate number of times the respondent visited a CAM practitioner, attended CAM classes, or purchased CAM supplies. Respondents were further categorized as non-users during the past 12 months, those who used vitamins and minerals only during the past 12 months (“vitamin/mineral user”), and those who used at least one CAM modality with or without vitamins and minerals in the past 12 months (“CAM +/− vitamin/mineral user”). The respondents were also asked to state their reasons for using CAM. Respondents were first asked to identify up to three of their most frequently used CAM modalities. Then, for each CAM modality, respondents were asked (yes/no) if they used the CAM modality for five different wellness-related reasons and 87 specific health condition-related reasons.
Out-of-pocket costs
The NHIS used a variety of methods to ascertain out-of-pocket CAM costs using a combination of cost per unit and frequency used, depending on the modality. Out-of-pocket spending calculations were based upon Nahin et al’s prior publication describing national CAM spending [1]. For each modality, the NHIS first asked participants about insurance coverage for visiting a practitioner or attending a class. If insurance did not cover all associated costs, users were asked to report their exact or approximate out-of-pocket spending on the modality in the past 12 months for one practitioner visit or class. If insurance covered all associated costs, the out-of-pocket costs were treated as $0 in analysis. When approximate costs were provided, annual spending was calculated using cost of visits/classes multiplied by frequency of visits/classes. The NHIS used a variety of methods to assess out-of-pocket spending on self-help materials. Out-of-pocket costs for self-help materials were assessed if a participant visited a practitioner or attended a class in the past 12 months for chiropractic and osteopathic manipulation, massage, acupuncture, energy healing therapy, naturopathy, Ayurveda, craniosacral therapy, and traditional healers. For homeopathy, out-of-pocket costs for self-help materials were assessed if a participant reported use of homeopathy in the past 12 months that did not involve visiting a practitioner. For all other modalities, out-of-pocket costs for self-help materials were assessed regardless of whether a participant visited a practitioner or attended a class. For vitamins and minerals, the NHIS asked users for the exact or approximate cost of their most recent purchase of vitamins and minerals, in addition to their frequency of purchases; the NHIS included multivitamins and multiminerals in the aforementioned cost [9]. Cost of visiting a practitioner was not assessed for vitamins and minerals. For non-vitamin/mineral natural products, NHIS used the same methods as for vitamins and minerals to ascertain cost and also asked about the costs associated with visiting a practitioner. Out-of-pocket costs per practitioner visit and for purchasing homeopathic medicine, relaxation technique materials, and yoga, tai chi, and qigong classes were limited to either a specific response between $0 to $499, or a response of “$500 or more”, which was treated as $500 in analysis. Similarly, the costs for purchasing self-help materials were limited between $0 to $200.
Next, the NHIS ascertained frequency of use. Possible NHIS responses for the frequency of CAM purchases, classes or visits to providers in the past 12 months included the following intervals: 2–5 times, 6–10 times, 11–15 times, and 16–20 times. Calculations used the midpoint of these intervals (i.e., 3.5 for 2–5 times), as previously used [1]. Responses of “only 1 time” or “more than 20 times” were considered to be 1 and 20 times, respectively. Based on prior cognitive testing results of the Complementary and Alternative Medicine Supplement of the 2007 NHIS [10], very few respondents reported purchase of supplements on a daily basis. Therefore responses of more than 365 times purchases per year were presumed errors, and were excluded from the analysis.
Analyses made use of both exact and approximate out-of-pocket cost data. For each participant, the costs of practitioner visits/classes, self-help materials, and dietary supplements were summed for each modality. The total CAM cost for each participant was calculated by summing an individual’s reported out-of-pocket costs for each modality. If a participant reported use of a modality in the past 12 months, but had missing cost data, the assumption was made that they had no out-of-pocket spending in order to not overinflate spending estimates. Participants with unknown CAM use information were excluded from the cost estimate analysis.
Comorbidity index
A 9-item comorbidity index was created based upon the Department of Health and Human Services list of multiple chronic conditions [11]. The index sums each participant’s number of self-reported comorbidities from the following list: hypertension two or more times in the past 12 months, asthma attack in the past 12 months, weak or failing kidneys in the past 12 months, chronic obstructive pulmonary disease, diabetes, hepatitis, coronary heart disease, stroke, and arthritis. Cancer was excluded from the index for the purpose of this analysis.
Statistical analysis
The NHIS achieves a representative population sample using a complex multistage area probability design [12]. All estimates were weighted by the adult record weights provided by NHIS in order to extrapolate estimates representative of the U.S. civilian non-institutionalized adult population [9]. R statistical software (https://cran.r-project.org/) “survey” packages [13, 14] were used for all analyses.
Demographic and clinical characteristics of CAM users versus non-users were compared using the chi square test of independence. Descriptive analyses estimated total and per-person out-of-pocket CAM costs and number of practitioner visits for each modality among cancer survivors in the U.S, mean and median out-of-pocket costs by cancer type, time since diagnosis, number of cancers, as well as mean and median cost by population characteristics. The uses of each CAM modality were also compared between cancer survivors and cancer-free adults using chi-squared test. Estimates with a relative standard error of more than 30% do not meet the standard of reliability or precision, and therefore were not shown. Instead, these estimates were marked by an asterisk (*). The relative standard error was calculated as: relative standard error = (SE/Est)*100, where SE is the standard error, and Est is the point estimate. In addition, estimates for groups with a sample size less than 50 were not displayed.
RESULTS
Of the 34,525 adults sampled in the 2012 NHIS, 2,977 were cancer survivors and 30,551 were cancer-free adults (Table 1). Among cancer survivors, 36.4% used at least one CAM modality other than vitamins and minerals in the past 12 months (“CAM user”), 38.9% used only vitamins and minerals in the past 12 months (“vitamin/mineral user”), and 27.4% reported no CAM use in the past 12 months (“non-users”). Cancer-free adults reported slightly less use with 33.1% reporting CAM use, 32.5% reporting vitamin/mineral use, and 31.8% reported no use. Among cancer survivors and cancer-free adults, similar proportions reported using four or more types of CAM in the past 12 months (9.0% and 9.2%, respectively).
Table 1.
Non-users |
Vitamin/mineral only users
a |
CAM users with or without
vitamin/mineral usea |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sample Size |
U.S. population estimate no. (in 1,000s) |
Percent Distribution |
Sample Size |
U.S. population estimate no. (in 1,000s) |
Percent Distribution |
Sample Size |
U.S. population estimate no. (in 1,000s) |
Percent
Distribution |
|||||
% | SE | % | SE | % | SE | P-valuef | |||||||
Cancer survivors
(n=2,977) |
|||||||||||||
Total | 641 | 4,044 | 1.8 b | 0.1 | 1,207 | 7,630 | 3.3 b | 0.1 | 1,129 | 7,433 | 3.3 b | 0.1 | <0.001 |
Age, years | |||||||||||||
18–39 | 51 | 270 | 6.7 | 1.1 | 43 | 293 | 3.8 | 0.7 | 103 | 692 | 9.3 | 1.1 | <0.001 |
40–64 | 273 | 1,964 | 48.6 | 2.7 | 384 | 2,678 | 35.1 | 1.8 | 512 | 3,538 | 47.6 | 1.8 | |
≥65 | 317 | 1,809 | 44.7 | 2.7 | 780 | 4,659 | 61.1 | 1.8 | 514 | 3,202 | 43.1 | 1.8 | |
Mean (SE) | 61.9 (0.8) | 66.7 (0.5) | 60.7 (0.6) | <0.001 | |||||||||
Median (range) | 63 (60.6–65.4) | 69 (67.5–70.5) | 62 (61–63) | ||||||||||
Sex | |||||||||||||
Male | 304 | 2,069 | 51.2 | 2.7 | 470 | 3,291 | 43.1 | 1.8 | 395 | 2,801 | 37.7 | 1.8 | 0.002 |
Female | 337 | 1,975 | 48.8 | 2.7 | 737 | 4,340 | 56.9 | 1.8 | 734 | 4,632 | 62.3 | 1.8 | |
Race/Ethnicityc | |||||||||||||
Non-Hispanic white | 472 | 3,213 | 79.7 | 1.8 | 964 | 6,402 | 84.1 | 1.4 | 972 | 6,741 | 91.1 | 0.9 | |
Hispanic | 53 | 280 | 6.9 | 1.1 | 67 | 399 | 5.2 | 0.9 | 55 | 271 | 3.7 | 0.6 | <0.001 |
Non-Hispanic Black/African | 92 | 399 | 9.9 | 1.3 | 141 | 558 | 7.3 | 0.7 | 56 | 223 | 3 | 0.4 | |
American | |||||||||||||
Educationc | |||||||||||||
High school graduate or less | 351 | 2,102 | 52.4 | 2.5 | 566 | 3,284 | 43.2 | 1.9 | 316 | 2,014 | 27.1 | 1.7 | <0.001 |
Associate’s degree/some college | 186 | 1,245 | 31 | 2.5 | 339 | 2,228 | 29.3 | 1.7 | 365 | 2,311 | 31.2 | 1.6 | |
Bachelor’s degree and above | 100 | 666 | 16.6 | 2.1 | 299 | 2,096 | 27.6 | 1.8 | 445 | 3,093 | 41.7 | 1.8 | |
Marital statusc | |||||||||||||
Single | 63 | 260 | 6.4 | 1.0 | 84 | 380 | 5 | 0.8 | 107 | 550 | 7.4 | 0.9 | 0.004 |
Married/living with partner | 311 | 2,602 | 64.3 | 2.3 | 584 | 4,798 | 62.9 | 1.8 | 593 | 4,949 | 66.6 | 1.7 | |
Divorce/separated | 142 | 606 | 15 | 1.5 | 318 | 1,427 | 18.7 | 1.2 | 178 | 778 | 10.5 | 1.1 | |
Widowed | 124 | 573 | 14.2 | 1.6 | 220 | 1,022 | 13.4 | 1.2 | 250 | 1,151 | 15.5 | 1.2 | |
Employmentc | |||||||||||||
Working for pay | 198 | 1,446 | 35.8 | 2.8 | 293 | 1,992 | 26.1 | 1.6 | 452 | 3,128 | 42.1 | 2.0 | <0.001 |
Not looking for work | 409 | 2,400 | 59.3 | 2.7 | 858 | 5,213 | 68.4 | 1.7 | 600 | 3,796 | 51.1 | 2.0 | |
Family incomec | |||||||||||||
$0–$49,999 | 428 | 2,172 | 56.2 | 2.8 | 727 | 3,777 | 53.7 | 2.1 | 532 | 2,812 | 40.3 | 1.7 | <0.001 |
$50,000–$74,999 | 81 | 676 | 17.5 | 2.3 | 157 | 1,151 | 16.4 | 1.4 | 184 | 1,238 | 17.7 | 1.5 | |
$75,000 or more | 104 | 1,018 | 26.3 | 2.7 | 245 | 2,108 | 30 | 2.0 | 351 | 2,925 | 41.9 | 2.0 | |
Previous cancer diagnosisd | |||||||||||||
Breast | 104 | 566 | 14 | 1.7 | 248 | 1,421 | 18.6 | 1.4 | 194 | 1,184 | 15.9 | 1.4 | <0.001 |
Prostate | 87 | 612 | 15.1 | 1.9 | 155 | 957 | 12.5 | 1.1 | 104 | 769 | 10.3 | 1.3 | |
Other female genital system | 93 | 499 | 12.3 | 1.6 | 145 | 772 | 10.1 | 1.1 | 158 | 931 | 12.5 | 1.2 | |
Other | 61 | 459 | 11.3 | 1.7 | 115 | 805 | 10.6 | 1.2 | 83 | 536 | 7.2 | 1.0 | |
Unknown | 137 | 1,010 | 25 | 2.4 | 251 | 1,868 | 24.5 | 1.7 | 317 | 2,179 | 29.3 | 1.8 | |
Years since cancer diagnosisc | |||||||||||||
≤1 | 77 | 526 | 18.3 | 2.7 | 142 | 791 | 14.8 | 1.5 | 106 | 661 | 13.4 | 1.6 | 0.05 |
>1– 5 | 115 | 714 | 24.9 | 2.6 | 219 | 1,281 | 24 | 1.8 | 202 | 1,518 | 30.7 | 2.0 | |
>5–10 | 115 | 693 | 24.2 | 2.6 | 180 | 1,135 | 21.3 | 2.0 | 161 | 916 | 18.5 | 1.7 | |
>10 | 169 | 935 | 32.6 | 2.8 | 348 | 2,132 | 39.9 | 2.1 | 299 | 1,858 | 37.5 | 2.0 | |
Health Insurancec | |||||||||||||
Yes | 582 | 3,707 | 91.7 | 1.4 | 1,160 | 7,339 | 96.3 | 0.8 | 1,042 | 6,953 | 93.5 | 0.7 | |
No | 58 | 334 | 8.3 | 1.4 | 43 | 279 | 3.7 | 0.8 | 87 | 480 | 6.5 | 0.7 | 0.005 |
Has a personal health
care providerc |
|||||||||||||
Yes | 514 | 3,140 | 85.3 | 2.0 | 1,075 | 6,829 | 92 | 1.0 | 961 | 6,352 | 90 | 1.1 | 0.02 |
No | 76 | 541 | 14.7 | 2.0 | 102 | 595 | 8 | 1.0 | 112 | 707 | 10 | 1.1 | |
Perceived health status | |||||||||||||
Excellent | 76 | 511 | 12.7 | 1.8 | 161 | 1,130 | 14.8 | 1.3 | 184 | 1,343 | 18.1 | 1.5 | <0.001 |
Very good | 135 | 924 | 22.9 | 2.4 | 292 | 2,061 | 27 | 1.7 | 366 | 2,529 | 34.1 | 1.7 | |
Good | 210 | 1,238 | 30.7 | 2.3 | 418 | 2,612 | 34.2 | 1.8 | 332 | 2,117 | 28.5 | 1.6 | |
Fair | 147 | 947 | 23.4 | 2.1 | 243 | 1,318 | 17.3 | 1.4 | 166 | 991 | 13.4 | 1.2 | |
Poor | 71 | 418 | 10.3 | 1.5 | 93 | 509 | 6.7 | 0.9 | 80 | 444 | 6 | 0.8 | |
Comorbidity indexe | |||||||||||||
0 | 185 | 1,345 | 33.3 | 2.6 | 255 | 1,704 | 22.3 | 1.5 | 300 | 2,174 | 29.2 | 1.5 | 0.13 |
1 | 167 | 1,002 | 24.8 | 2.1 | 346 | 2,370 | 31.1 | 1.8 | 345 | 2,296 | 30.9 | 1.6 | |
2 | 154 | 951 | 23.5 | 2.1 | 312 | 1,890 | 24.8 | 1.5 | 270 | 1,622 | 21.8 | 1.5 | |
3+ | 135 | 746 | 18.5 | 1.9 | 294 | 1,666 | 21.8 | 1.6 | 214 | 1,342 | 18.1 | 1.5 | |
Number of CAM modalities usedg | |||||||||||||
0 | 641 | 4043.7 | 100.0 | 0 | 1207 | 7630.2 | 100.0 | 0 | 113 | 782.5 | 10.5 | 1.0 | NE |
1–3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 906 | 5982.5 | 80.5 | 1.4 | |
4+ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 667.6 | 9.0 | 1.0 | |
Cancer-free adults
(n=30,551) |
|||||||||||||
Total | 9,979 | 67,876 | 29.8b | 0.4 | 10,201 | 69,586 | 30.5b | 0.4 | 10,384 | 71,373 | 31.3b | 0.4 | <0.001 |
Age, years | |||||||||||||
18–39 | 4,354 | 32,221 | 47.5 | 0.7 | 3,519 | 25,909 | 37.2 | 0.7 | 4,040 | 28,642 | 40.1 | 0.7 | <0.001 |
40–64 | 4,069 | 27,437 | 40.4 | 0.7 | 4,300 | 30,142 | 43.3 | 0.6 | 4,720 | 33,661 | 47.2 | 0.7 | |
≥65 | 1,556 | 8,218 | 12.1 | 0.4 | 2,382 | 13,535 | 19.5 | 0.5 | 1,624 | 9,070 | 12.7 | 0.4 | |
Mean (SE) | 42.6 (0.2) | 47.4 (0.3) | 45.1 (0.2) | <0.001 | |||||||||
Median (range) | 41 (40.5–41.5) | 47 (46–48) | 45 (44.5–45.5) | ||||||||||
Sex | |||||||||||||
Male | 5,357 | 39,787 | 58.6 | 0.6 | 4,203 | 31,794 | 45.7 | 0.7 | 4,123 | 30,070 | 42.1 | 0.7 | <0.00 1 |
Female | 4,622 | 28,090 | 41.4 | 0.6 | 5,998 | 37,792 | 54.3 | 0.7 | 6,261 | 41,303 | 57.9 | 0.7 | |
Race/Ethnicityc | |||||||||||||
Non-Hispanic white | 4,798 | 38,156 | 56.4 | 0.8 | 5,892 | 45,237 | 65.2 | 0.6 | 7,167 | 53,434 | 75.2 | 0.6 | <0.00 1 |
Hispanic | 2,451 | 14,705 | 21.7 | 0.7 | 1,826 | 10,977 | 15.8 | 0.5 | 1,283 | 7,590 | 10.7 | 0.4 | |
Non-Hispanic Black/African American | 1,948 | 10,542 | 15.6 | 0.5 | 1,794 | 9,484 | 13.7 | 0.4 | 1,025 | 5,398 | 7.6 | 0.3 | |
American Indian/Alaskan Native | 86 | 462.4 | 0.7 | 0.1 | 77 | 394.1 | 0.6 | 0.1 | 83 | 459 | 0.6 | 0.1 | |
Asian
(Asian Indian, Chinese, Filipino, Other Asian) |
634 | 3,757 | 5.6 | 0.3 | 580 | 3,318 | 4.8 | 0.3 | 759 | 4,186 | 5.9 | 0.3 | |
Educationc | |||||||||||||
High school graduate or less | 5,568 | 36,564 | 54.2 | 0.7 | 4,410 | 28,685 | 41.4 | 0.7 | 2,796 | 18,675 | 26.2 | 0.6 | <0.00 1 |
Associate’s degree/some college | 2,643 | 18,656 | 27.7 | 0.6 | 3,180 | 22,042 | 31.8 | 0.6 | 3,574 | 24,597 | 34.5 | 0.7 | |
Bachelor’s degree and above | 1,706 | 12,244 | 18.1 | 0.5 | 2,568 | 18,580 | 26.8 | 0.6 | 3,996 | 27,967 | 39.3 | 0.7 | |
Marital statusc | |||||||||||||
Single | 2,924 | 19,786 | 29.2 | 0.7 | 2,303 | 14,517 | 20.9 | 0.6 | 2,533 | 15,306 | 21.4 | 0.6 | <0.00 1 |
Married/living with partner | 4,703 | 37,611 | 55.4 | 0.7 | 5,054 | 42,383 | 60.9 | 0.6 | 5,363 | 45,206 | 63.3 | 0.7 | |
Divorce/separated | 711 | 2,912 | 4.3 | 0.2 | 1,133 | 4,905 | 7 | 0.3 | 699 | 2,972 | 4.2 | 0.2 | |
Widowed | 1,616 | 7,476 | 11 | 0.4 | 1,686 | 7,667 | 11 | 0.4 | 1,768 | 7,776 | 10.9 | 0.3 | |
Employmentc | |||||||||||||
Working for pay | 5,581 | 39,619 | 58.4 | 0.7 | 5,446 | 38,831 | 55.8 | 0.7 | 6,520 | 45,921 | 64.4 | 0.6 | <0.00 1 |
Working
not for pay/with a business but not at work |
248 | 1,974 | 2.9 | 0.2 | 283 | 2,131 | 3.1 | 0.2 | 406 | 3,091 | 4.3 | 0.3 | |
Looking for work | 783 | 5,669 | 8.4 | 0.4 | 579 | 3,970 | 5.7 | 0.3 | 524 | 3,656 | 5.1 | 0.3 | |
Not looking for work | 3,360 | 20,567 | 30.3 | 0.7 | 3,885 | 24,610 | 35.4 | 0.7 | 2,931 | 18,685 | 26.2 | 0.6 | |
Family incomec | |||||||||||||
$0–$49,999 | 6,448 | 37,050 | 57.5 | 0.7 | 5,753 | 32,067 | 48.6 | 0.7 | 4,820 | 26,212 | 38.3 | 0.8 | <0.00 1 |
$50,000–$74,999 | 1,302 | 10,438 | 16.2 | 0.5 | 1,633 | 12,025 | 18.2 | 0.6 | 1,819 | 12,762 | 18.6 | 0.5 | |
$75,000 or more | 1,771 | 17,003 | 26.4 | 0.6 | 2,321 | 21,855 | 33.1 | 0.8 | 3,354 | 29,464 | 43.1 | 0.8 | |
Health Insurancec | |||||||||||||
Yes | 7,276 | 50,307 | 74.4 | 0.6 | 8,543 | 58,892 | 84.9 | 0.5 | 8,856 | 61,768 | 86.7 | 0.4 | |
No | 2,666 | 17,275 | 25.6 | 0.6 | 1,619 | 10,457 | 15.1 | 0.5 | 1,505 | 9,456 | 13.3 | 0.4 | <0.00 1 |
Has a personal health
care providerc |
|||||||||||||
Yes | 5,573 | 38,749 | 75 | 0.7 | 7,146 | 48,742 | 81.3 | 0.6 | 7,420 | 51,452 | 84.1 | 0.6 | <0.00 1 |
No | 1,938 | 12,887 | 25 | 0.7 | 1,616 | 11,178 | 18.7 | 0.6 | 1,438 | 9,749 | 15.9 | 0.6 | |
Perceived health status | |||||||||||||
Excellent | 2,615 | 19,615 | 28.9 | 0.6 | 2,542 | 19,226 | 27.7 | 0.6 | 3,053 | 22,635 | 31.7 | 0.6 | <0.00 1 |
Very good | 2,913 | 20,360 | 30 | 0.6 | 3,204 | 22,914 | 33 | 0.6 | 3,551 | 24,615 | 34.5 | 0.6 | |
Good | 2,860 | 18,712 | 27.6 | 0.6 | 2,929 | 18,608 | 26.8 | 0.6 | 2,611 | 17,419 | 24.4 | 0.6 | |
Fair | 1,229 | 7,107 | 10.5 | 0.4 | 1,168 | 6,576 | 9.5 | 0.3 | 917 | 5,213 | 7.3 | 0.3 | |
Poor | 360 | 2,061 | 3 | 0.2 | 352 | 2,205 | 3.2 | 0.2 | 249 | 1,479 | 2.1 | 0.2 | |
Comorbidity indexe | |||||||||||||
0 | 6,236 | 44,508 | 65.6 | 0.6 | 5,367 | 39,354 | 56.6 | 0.6 | 5,702 | 41,099 | 57.6 | 0.6 | <0.00 1 |
1 | 2,048 | 13,354 | 19.7 | 0.5 | 2,411 | 15,664 | 22.5 | 0.5 | 2,623 | 17,240 | 24.2 | 0.5 | |
2 | 983 | 6,005 | 8.8 | 0.4 | 1,395 | 8,697 | 12.5 | 0.4 | 1,256 | 8,378 | 11.7 | 0.4 | |
3+ | 712 | 4,009 | 5.9 | 0.3 | 1,028 | 5,870 | 8.4 | 0.4 | 803 | 4,656 | 6.5 | 0.3 | |
Number of CAM modalities usedg | |||||||||||||
0 | 9,979 | 67,867.4 | 100.0 | 0 | 10,201 | 69,565.5 | 100.0 | 0 | 1,221 | 8,445.4 | 11.8 | 0.5 | NE |
1–3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,166 | 56,363 | 79.0 | 0.5 | |
4+ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 997 | 6,530.4 | 9.2 | 0.3 |
Abbreviations: CAM, complementary and alternative medicine; SE, standard error
Respondents were categorized as non-users during the past 12 months, those who used vitamins and minerals only during the past 12 months (“vitamin/mineral users”), and those who used at least one CAM modality with or without vitamins and minerals in the past 12 months (“CAM users with or without vitamin/mineral use”)
The percent and SE for totals are based on the entire adult population.
Excludes refused, not ascertained, don’t know. For cancer survivors, data on the following categories were not shown because these estimates did not meet the standard of reliability or precision: American Indian/Alaskan Native, Asian, Working not for pay/with a business but not at work, and looking for work.
Participants with multiple cancers are counted in multiple categories. Other female genital system includes uterine, cervical, endometrial, and ovarian; urinary includes bladder and kidney; gastrointestinal includes gallbladder, pancreas, esophageal, and stomach; hematologic malignancies includes blood cancers and leukemia; other includes lymphoma, thyroid, throat-pharynx, bone, testicular, mouth/tongue/lip, brain, soft tissue, larynx-windpipe and other. Data on the following categories were not shown because these estimates did not meet the standard of reliability or precision: melanoma, colorectal, urinary, gastrointestinal, lung, hematologic malignancies and multiple cancers.
The comorbidity index includes hypertension, asthma, kidney disease, chronic obstruct pulmonary disease, diabetes, hepatitis, coronary heart disease, stroke, and arthritis.
We used ANOVA to calculate the p-value for age, and we used the chi square test of independence to calculate p-values for all other variables.
Limited to use of CAM modalities and excludes multivitamins/multiminerals, and vitamins/minerals.
Demographic and clinical characteristics
In both cancer-free adults and cancer survivors, compared to non-users, vitamin/mineral and CAM users were more likely to be older, female, non-Hispanic white, have a higher education, married, have a higher income, have insurance, and have a personal health care provider (Table 1). In both populations, compared to non-users, vitamin/mineral and CAM users were more likely to perceive their health status as good, very good, or excellent. However, vitamin/mineral and CAM users were more likely to have more comorbid conditions, especially among those who only reported use of vitamin/minerals. Among cancer survivors, compared to non-users, vitamin/mineral and CAM users were slightly more likely to be survivors of breast, melanoma, and colorectal cancers, although cancer type was unknown for about 25% of survivors (Table 1).
Annual CAM use
Over three quarters (78.8%) of cancer survivors used vitamins/minerals or at least one CAM modality in the past 12 months, as compared to 67.5% in adults without a history of cancer (Table 2). The majority of cancer survivors used vitamins and minerals (74.8%), while the least commonly used therapies included craniosacral therapy and Ayurveda (0.2% each). Yoga, tai chi, and qi gong had the highest per-person mean (22.3) practitioner visits/classes in the past 12 months, followed by relaxation techniques (median=10, mean=21.4) and movement and exercise techniques (median=10.0, mean=17.3). Compared to cancer-free adults, cancer survivors were more likely to report use of vitamin/minerals (74.8% vs. 61.4%, P<0.001) and herbal and non-vitamin supplements (23.7% vs. 18.5%, P<0.001). In addition, cancer survivors were more likely to report use of manipulative and body-based therapies (18.6% vs. 16.6%, P=0.03) and alternative medical systems (5.4% vs. 4.4%, P=0.04), though the clinical significance of these is small as differences of only 1–2% were observed.
Table 2.
Frequency of use | Number of practitioner visits
or material purchases |
Costs of CAM use, in dollars | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
N (in 1000s) | % (SE) | Median | 95% CI | Mean | 95% CI | Median | 95% CI | Mean | 95% CI | |
Cancer survivors
(n=2,977) |
||||||||||
CAM + Vitamins/mineralsa | 15,063 | 78.8 (1) | 6.0 | (5.0, 6.0) | 14.8 | (13.2, 16.4) | 75.0 | (60.0, 84.3) | 444.7 | (354.6, 534.8) |
Vitamins/minerals a | 14,243 | 74.8 (1.1) | 4.0 | (4.0, 4.0) | 10.7 | (9.2, 12.2) | 40.0 | (30.0, 45.0) | 280.1 | (200.2, 359.9) |
CAM a | 7,433 | 38.9 (1.2) | 9.1 | (6.7, 11.0) | 16.9 | (14.6, 19.2) | 75.0 | (60.0, 95.1) | 364.5 | (288.9, 440.1) |
Non-vitamin/mineral natural products | 4,199 | 23.7 (0.9) | 2.6 | (1.0, 3.5) | * | * | 75.2 | (60.0, 90.0) | 284.7 | (176.3, 393.1) |
Manipulative and body-based therapies | 3,413 | 18.6 (0.9) | 7.0 | (6.0, 9.0) | 11.7 | (9.9, 13.4) | 80.0 | (50.0, 119.8) | 307.1 | (237.1, 377.2) |
Chiropractic or osteopathic manipulation | 1,974 | 10.6 (0.7) | 6.0 | (4.0, 8.0) | 10.2 | (8.3, 12.1) | * | * | 215.6 | (155.1, 276.2) |
Massage | 1,867 | 10 (0.7) | 5.0 | (3.8, 6.0) | 7.5 | (6.1, 8.8) | 80.0 | (50.0, 120.0) | 260.3 | (186.2, 334.3) |
Movement and exercise techniques | 346 | 1.8 (0.3) | * | * | 17.3 | (11.9, 22.7) | * | * | * | * |
Mind-body therapies | 2,194 | 11.9 (0.8) | * | * | * | * | * | * | 90.3 | (53.7, 126.9) |
Relaxation techniques | 1,086 | 5.9 (0.6) | * | * | 21.4 | (11.8, 31.0) | * | * | * | * |
Yoga, tai chi, qi gong | 1,573 | 8.3 (0.7) | * | * | 22.3 | (17.7, 26.8) | * | * | 99.2 | (58.2, 140.2) |
Alternative medical systems | 1,002 | 5.4 (0.5) | 4.1 | (3.0, 6.0) | 8.1 | (6.1, 10.1) | * | * | 219.3 | (149.6, 289) |
Acupuncture | 375 | 2 (0.3) | 5.0 | (3.5, 7.4) | 7.9 | (5.9, 9.9) | * | * | 356.4 | (250.8, 462) |
Homeopathy | 541 | 2.9 (0.5) | * | * | 4.9 | (2.5, 7.2) | * | * | * | * |
Naturopathy | 195 | 1 (0.2) | 2.0 | (2.0, 4.0) | 4.8 | (2.2, 7.4) | * | * | 217.1 | (101.5, 332.7) |
Energy healing therapy | 168 | 0.9 (0.2) | * | * | 4.7 | (2.7, 6.8) | * | * | * | * |
Cancer-free
adults (n=30,551) |
||||||||||
CAM + Vitamins/mineralsa | 140,959 | 67.5 (0.4) | 6.0 | (6.0, 6.0) | 14.9 | (14.3, 15.5) | 72.0 | (68.0, 80.0) | 367.6 | (348.2, 387.1) |
Vitamins/minerals a | 127,621 | 61.4 (0.4) | 4.0 | (4.0, 4.0) | 11.2 | (10.6, 11.8) | 45.0 | (40.0, 48.0) | 228.9 | (214.3, 243.4) |
CAMa | 71,339 | 34.2 (0.5) | 8.0 | (7.0, 8.0) | 15.0 | (14.3, 15.7) | 60.0 | (54.0, 60.0) | 316.8 | (294.4, 339.2) |
Non-vitamin/mineral natural products | 36,371 | 18.5 (0.4) | 3.5 | (3.5, 3.5) | 4.2 | (3.5, 4.9) | 60.0 | (60.0, 60.0) | 266.4 | (238.4, 294.4) |
Manipulative and body-based therapies | 33,574 | 16.6 (0.3) | 6.0 | (6.0, 6.0) | 11.1 | (10.6, 11.6) | 65.0 | (60.0, 75.0) | 256.4 | (237.9, 274.9) |
Chiropractic or osteopathic manipulation | 18,732 | 9.1 (0.2) | 6.0 | (6.0, 6.0) | 9.8 | (9.2, 10.4) | 60.0 | (45.0, 70.0) | 221.6 | (198.0, 245.2) |
Craniosacral therapy | 634 | 0.3 (<0.1) | 2.3 | (1.0, 3.5) | 5.5 | (2.6, 8.4) | * | * | 120.7 | (65.1, 176.2) |
Massage | 18,172 | 8.8 (0.2) | 3.5 | (3.5, 4.0) | 6.6 | (6.2, 7.1) | 60.0 | (50.0, 70.0) | 197.1 | (180.3, 213.8) |
Movement and exercise techniques | 4,467 | 2.2 (0.1) | 9.0 | (6.0, 11.2) | 15.4 | (13.6, 17.2) | * | * | 179.0 | (134.2, 223.9) |
Mind-body therapies | 26,074 | 12.8 (0.3) | * | * | 17.5 | (16.4, 18.6) | * | * | 93.1 | (77.4, 108.8) |
Biofeedback | 669 | 0.3 (<0.1) | * | * | 9.7 | (4.0, 15.4) | * | * | * | * |
Hypnosis | 541 | 0.3 (<0.1) | 3.0 | (1.0, 4.0) | * | * | * | * | * | * |
Relaxation techniques | 9,557 | 4.7 (0.2) | 5.0 | (3.5, 8.0) | 11.8 | (9.9, 13.6) | * | * | 42.6 | (31.2, 54.0) |
Yoga, tai chi, qi gong | 20,709 | 10 (0.3) | 10.0 | (10.0, 12.0) | 17.3 | (16.2, 18.5) | * | * | 80.8 | (67.5, 94.1) |
Alternative medical systems | 8,847 | 4.4 (0.2) | 3.5 | (3.5, 4.0) | 7.1 | (6.3, 7.9) | * | * | 171.2 | (117.0, 225.5) |
Acupuncture | 3,289 | 1.6 (0.1) | 4.0 | (3.5, 4.0) | 6.9 | (5.9, 7.9) | 77.5 | (60.0, 101.5) | 232.4 | (189.4, 275.4) |
Ayurveda | 551 | 0.3 (<0.1) | 2.0 | (1.0, 2.0) | 2.2 | (1.6, 2.9) | * | * | 45.0 | (20.5, 69.6) |
Homeopathy | 4,504 | 2.2 (0.1) | 2.0 | (2.0, 3.0) | 4.7 | (2.9, 6.6) | * | * | 38.7 | (21.4, 56.0) |
Naturopathy | 1,449 | 0.7 (0.1) | 3.0 | (2.0, 3.5) | 4.2 | (3.3, 5.2) | * | * | 194.9 | (110.9, 278.9) |
Traditional healers | 951 | 0.5 (<0.1) | 2.0 | (2.0, 3.0) | 4.3 | (3.1, 5.6) | * | * | * | * |
Energy healing therapy | 1,434 | 0.7 (0.1) | 3.8 | (3.0, 5.0) | 8.3 | (5.9, 10.7) | * | * | * | * |
Special diets | 6,226 | 3 (0.1) | 2.3 | (2.0, 3.0) | 3.4 | (2.7, 4.0) | * | * | 17.7 | (12.0, 23.3) |
Abbreviations: CAM, complementary and alternative medicine; SE, standard error; CI, confidence interval
Indicates a relative standard error of greater than 30% and do not meet the standard of reliability or precision. For cancer survivors, estimates for the following CAM categories were not shown because most estimates did not meet the standard of reliability or precision: craniosacral therapy, biofeedback, hypnosis, Ayurveda, traditional healers, and special diets.
“CAM” includes non-vitamin/mineral natural products, manipulative and body-based therapies, mind-body therapies, alternative medical systems, energy healing therapy and special diets.
“Vitamins/minerals” includes multivitamins/multiminerals, and vitamins/minerals.
Annual out-of-pocket CAM spending
On average, cancer survivors spent $445 annually on combined costs for all modalities (median $75/year, range $0–$52,980). They spent the majority of costs on vitamins and minerals (median=$40/year, mean=$280/year). Acupuncture and non-vitamin/mineral natural products had the second and third highest annual median costs, $172 and $75, respectively (Table 2). In contrast, cancer-free adults on average spent slightly less $368 annually on all CAM modalities, but had a similar median and range (median $72/year, range $0–$55,067).
Cancer survivors in the U.S. spent an estimated $6.7 billion in annual out-of-pocket vitamin/mineral and CAM costs, accounting for approximately 11.4% of the $58.5 billion annual out-of-pocket vitamin/mineral and CAM costs for all U.S adults (Table 3). Total expenses included a combination of practitioner visits, classes, and self-help materials. Among cancer survivors, vitamins and minerals accounted for the largest portion of the total cost with over $3.9 billion spent annually; non-vitamin/mineral natural products accounted for $1.2 billion, massage and chiropractic/osteopathic manipulation each accounted for $0.5 billion. Among cancer-free adults, the out-of-pocket cost for vitamin/minerals and CAM was estimated to be $51.8 billion, of which $29.2 billion was spent on vitamin/minerals, $9.7 billion on non-vitamin/mineral natural products, and $76.5 million on massage.
Table 3.
All adults |
Cancer survivors |
Cancer-free adults |
|||||||
---|---|---|---|---|---|---|---|---|---|
Total | 95% CI | % of total U.S. adults CAM costs |
Total | 95% CI | % of total U.S. cancer survivor CAM costs |
Total | 95% CI | % of total U.S. cancer- free adults CAM costs |
|
CAM + Vitamins/minerals | 58,512.1 | (55,113.4, 61,910.8) | 100.0 | 6,697.8 | (5,288.4, 8,107.2) | 100.0 | 51,798.4 | (48,820.7, 54,776.2) | 100.0 |
Vitamins/minerals | 33,196.1 | (30,840.2, 35,552.0) | 56.7 | 3,988.7 | (2,817.5, 5,160.0) | 59.6 | 29,196.9 | (27,232.9, 31,160.9) | 56.4 |
CAM | 25,316.0 | (23,436.9, 27,195.1) | 43.3 | 2,709.1 | (2,126.2, 3,292.0) | 40.4 | 22,601.5 | (20,859.6, 24,343.5) | 43.6 |
Non-vitamin/mineral natural product | 10,882.1 | (9,708.5, 12,055.8) | 18.6 | 1,195.6 | (749.6, 1,641.6) | 17.9 | 9,682.8 | (8,617.0, 10,748.6) | 18.7 |
Manipulative and body-based therapies | 9,656.8 | (8,889.9, 10,423.8) | 16.5 | 1,048.1 | (791.5, 1,304.8) | 15.6 | 8,607.4 | (7,890.9, 9,323.9) | 16.6 |
Chiropractic or osteopathic manipulation | 4,577.4 | (4,050.5, 5,104.3) | 7.8 | 425.6 | (301.2, 550.0) | 6.4 | 4,150.9 | (3,643.5, 4,658.2) | 8.0 |
Craniosacral therapy | * | * | * | * | * | * | 76.5 | (36.9, 116.1) | 0.1 |
Massage | 4,066.6 | (3,672.3, 4,460.9) | 7.0 | 485.9 | (329.6, 642.2) | 7.3 | 3,580.3 | (3,220.9, 3,939.8) | 6.9 |
Movement and exercise techniques | 905.6 | (681.3, 1,129.8) | 1.5 | * | * | * | 799.7 | (580.8, 1,018.6) | 1.5 |
Mind-body therapies | 2,625.8 | (2,168.6, 3,083.0) | 4.5 | 198.1 | (108.3, 287.9) | 3.0 | 2,427.7 | (1,993.8, 2,861.7) | 4.7 |
Relaxation techniques | 448.2 | (330.5, 565.9) | 0.8 | * | * | * | 407.0 | (294.6, 519.5) | 0.8 |
Yoga, tai chi, qi gong | 1,828.9 | (1,540.3, 2,117.5) | 3.1 | 156.0 | (84.9, 227.2) | 2.3 | 1,672.8 | (1,390.9, 1,954.8) | 3.2 |
Alternative medical systems | 1,733.9 | (1,239.7, 2,228.2) | 3.0 | 219.7 | (144.3, 295.1) | 3.3 | 1,513.8 | (1,028.9, 1,998.7) | 2.9 |
Acupuncture | 897.9 | (722.5, 1,073.4) | 1.5 | 133.7 | (78.7, 188.7) | 2.0 | 763.9 | (599.9, 927.8) | 1.5 |
Ayurveda | 29.3 | (13.3, 45.3) | 0.1 | * | * | * | * | * | * |
Homeopathy | 208.3 | (126.3, 290.3) | 0.4 | * | * | * | 174.0 | (95.9, 252.2) | 0.3 |
Naturopathy | 324.7 | (184.3, 465.2) | 0.6 | * | * | * | 282.4 | (153.7, 411.1) | 0.5 |
Special diets | 113.3 | (77.5, 149.1) | 0.2 | * | * | * | 109.9 | (74.4, 145.3) | 0.2 |
Abbreviations: CAM, complementary and alternative medicine; CI, confidence interval
Indicates a relative standard error of greater than 30% and do not meet the standard of reliability or precision. Data on the following CAM modalities were not shown because most estimates did not meet the standard of reliability or precision: biofeedback, hypnosis, traditional healers, and energy healing therapy.
“CAM” includes non-vitamin/mineral natural products, manipulative and body-based therapies, mind-body therapies, alternative medical systems, energy healing therapy and special diets. “Vitamins/minerals” includes multivitamins/multiminerals, and vitamins/minerals.
CAM spending by cancer type
Each cancer group spent the majority of their total out-of-pocket expenditures on vitamins and minerals, with the exception of urinary cancer survivors who spent the majority of their costs on non-vitamin/mineral natural products (data not shown). Breast cancer survivors had the highest annual median per-person CAM costs ($84), followed by prostate cancer ($60) and other female genital system cancer ($60) (Table 4).
Table 4.
Breast | Prostate | Other female genital system | |
---|---|---|---|
Use of CAM, % (SE) | |||
CAM + Vitamins/mineralsb | 82.1 (2.1) | 73.8 (3.1) | 77.3 (2.8) |
Vitamins/minerals b | 79.6 (2.2) | 71.9 (3.1) | 70.6 (3.1) |
CAM b | 37.3 (2.7) | 32.9 (3.5) | 42.3 (3.3) |
Non-vitamin/mineral natural product | 17.2 (2.0) | 23.9 (3.2) | 20.9 (2.8) |
Manipulative and body-based therapies | 18.6 (2.2) | 18.9 (3.2) | 23.5 (2.7) |
Mind-body therapies | 14.4 (2.1) | 6.7 (2.2) | 16.5 (2.5) |
Median cost in dollars by modality, dollars (95% CI) | |||
CAM + Vitamins/mineralsb | 84.0 (61.3, 106.7) | 60.0 (27.5, 92.5) | 60.0 (28.0, 92.0) |
Vitamins/mineralsb | 120.0 (84.2, 155.8) | 100.0 (54.1, 145.9) | 120.0 (77.6, 162.4) |
CAMb | 84.0 (61.3, 106.7) | 60.0 (27.5, 92.5) | 60.0 (28.0, 92.0) |
Non-vitamin/mineral natural product | 120.0 (84.2, 155.8) | * | * |
Manipulative and body-based therapies | 80.0 (41.3, 118.7) | * | * |
Mind-body therapies | * | * | * |
Abbreviations: CAM, complementary and alternative medicine; SE, standard error
Indicates a relative standard error of greater than 30% and do not meet the standard of reliability or precision. Data on the following CAM modalities were not shown because most estimates did not meet the standard of reliability or precision: alternative medical systems and special diets.
Categories are not mutually exclusive, therefore individuals with multiple cancers are included in multiple categories.
“CAM” includes non-vitamin/mineral natural products, manipulative and body-based therapies, mind-body therapies, alternative medical systems, energy healing therapy and special diets.
“Vitamins/minerals” includes multivitamins/multiminerals, and vitamins/minerals.
As a group, breast cancer survivors accrued the highest out-of-pocket vitamin/mineral and CAM costs ($1.1 billion), followed by prostate cancer ($0.6 billion), and female genital system cancer ($0.6 billion) (data not shown). Non-colorectal gastrointestinal cancer survivors had the lowest out-of-pocket CAM costs ($55.4 million).
CAM spending by population characteristics
Online Supplemental Table 1 shows median and mean amounts spent on vitamins/minerals and CAM by demographic and clinical characteristics. Compared to cancer-free adults, cancer survivors who report higher median spending were younger, did not have health insurance, and perceived their health to be excellent.
CAM spending by years since diagnosis and number of cancers
Online Supplemental Table 2 shows estimated median CAM costs by years since diagnosis and number of cancers. Groups where annual median spending exceeded $100/year include cancer survivors using non-vitamin/mineral natural products who were either within one year of diagnosis or 6–10 years post diagnosis). Cancer survivors with a history of one cancer diagnosis spent twice as much on vitamins/minerals as compared to those with 2 or more cancer diagnoses.
Reasons for CAM use
Online Supplemental Table 3 reports the wellness and health condition-related reasons for CAM and vitamin/mineral use among cancer survivors and cancer-free adults. Cancer survivors and cancer-free adults reported similar proportions of wellness-related reasons for CAM use, including general wellness or general disease prevention (66.5% and 64.4%, respectively), improving energy (33.0% and 39.8%, respectively, and improving immune function (30.8% and 29.7%, respectively). Similarly, the top four reported health condition-related reasons for CAM use were the same for cancer survivors and cancer-free adults: back pain or problem (14.4% vs. 14.7%, respectively), joint pain/stiffness (9.8% vs. 6.6%, respectively), cardiovascular condition (9.5% vs. 5.5%, respectively), and neck pain (6.6% vs. 7.0%, respectively). Only 3.9% of cancer survivors reported using CAM specifically to treat their cancer.
DISCUSSION
In 2012, approximately 79% of U.S. adult cancer survivors and 68% of cancer-free adults used vitamins/minerals and/or at least one form of CAM, spending a total of $6.7 billion and $51.8 billion out-of-pocket on CAM use, respectively. In the 2012 NHIS, cancer survivors comprised estimated 6.9% of the U.S. noninstitutional adult population (14.8 million), but spent 11.4% of the out-of-pocket CAM costs. Given the $125 billion estimated total U.S. healthcare costs associated with cancer in 2010, out-of-pocket costs of $6.7 billion on vitamins/minerals and CAM represent a substantial proportion of overall cancer costs [15].
Over the past decade, estimates of total out-of-pocket CAM costs in the U.S. among all adults ranged from $9 to $34 billion, with the large range due to differences in sampling methods and CAM definitions [16, 1]. Using the 2007 NHIS, Nahin et al. estimated that 38.3% of U.S. adults used CAM and spent $33.9 billion out-of-pocket [1]. The 2007 analysis excluded vitamins/minerals despite the fact that previous studies have shown that use of vitamin and mineral supplements in cancer populations is high, ranging from 44–84% [17–20]. Because of this high use, we were interested in out-of-pocket spending on vitamins and minerals in this population. Therefore, our estimates were higher than those reported by Nahin et al. [1], with an estimated annual out-of-pocket of $59 billion in 2012. The definition of CAM has evolved over time and varies in the literature [6], with some definitions including [21–24] and excluding [25, 5] vitamins and minerals. For example, the National Center for Complementary and Integrative Health (NCCIH) includes vitamins and minerals in their definition of CAM [8], but not all prior NHIS CAM analyses have included vitamins and minerals in the definition [5]. In order to facilitate comparisons of use between different types of CAM-related health promotion strategies, future studies may need to consistently include vitamins and minerals in the definition of CAM.
Vitamin/mineral and CAM use is common among U.S. cancer survivors. Our study estimates 79% of cancer survivors used vitamins/minerals or at least one form of CAM in a 12-month time period; the large majority of CAM users used dietary supplements, including multivitamins/minerals, vitamins and minerals (75%), as well as herbal supplements (24%). In comparison, fewer cancer-free adults (68%) used vitamins/minerals or at least one form of CAM in a 12-month time period. These findings are consistent with the literature on cancer survivors who participate the NHIS [5]. In 2007, Mao et al found 43% of cancer survivors reported CAM use in the previous 12 months, with a definition excluding multivitamins/minerals, vitamins and minerals. Evidence-based clinical guidelines exist on the use of integrative therapies during and after cancer treatment, but there are few high-level recommendations due to limited data as evidenced in recently published clinical guidelines [26–28]. In the oncology setting, there is a growing body of literature suggesting that mind-body interventions are effective for improving treatment related side effects, quality of life, psychological conditions. However, in contrast, few dietary supplement interventions have proven to be effective at changing clinical endpoints and some dietary supplements have proven to be harmful. The high prevalence of dietary supplement use among cancer survivors have led to safety concerns in light of the limited data on the effects of such use [29].
Previous studies showed that cancer survivors primarily use CAM for general disease prevention, immune enhancement, and pain symptoms, rather than as a treatment for cancer [30, 2]. In this study, we also examined CAM use as treatments for medical conditions. We found cancer survivors and cancer-free adults used CAM for similar reasons and in similar amounts. Less than 4% cancer survivors used CAM as a treatment for cancer. These results, along with findings by Mao et al. and Lafferty et al., suggest that the elevated CAM cost in cancer survivors may be driven by treatment for pain symptoms and other chronic conditions [5, 30].
Recently, patients’ out-of-pocket costs were described as a toxicity of cancer treatment, and it is now suggested that physicians discuss out-of-pocket treatment costs with their patients, especially treatments with little or poorly understood benefits [31]. Newly diagnosed cancer survivors spent an average $1,107 to $1,711 out-of-pocket for medical services and supplies in the first year following diagnosis, with average annual costs thereafter ranging from $747 to $1,451 [32]. These costs include costs associated with ambulatory care, inpatient care, and prescription medications, but do not include costs associated with vitamins/minerals and CAM use. We found that on average, cancer survivors spent $445 per year out-of-pocket on CAM, the majority of which was spent on dietary supplements. This is not an insignificant amount given the already substantial costs associated with living with cancer and the high probability of patients being on disability or unemployed during treatment and recovery. In order to make financial decisions, it would be useful for cancer survivors to able to evaluate the cost:benefit ratio of using any specific form CAM. However, such data are limited.
To date, very few studies have examined CAM costs among cancer survivors. In one study of brain tumor patients, CAM users spent an average $69 per month on CAM use, with approximately one fifth of patients spending an average $100 or more per month [33]. A study of early stage breast cancer patients showed that these women spent an average $32 out-of-pocket on alternative medical systems in the four weeks immediately following surgery [34]. These early studies suggest that CAM costs may vary by cancer type, period of use, and may be driven by unique issues associated with each particular type of cancer. In our analyses, we identified differences in CAM use and spending between cancer groups. We found that melanoma survivors used more modalities than other cancer types, and had the highest per-person CAM costs, and urinary (including bladder and kidney) survivors were the only cancer group to spend more on non-vitamin/mineral natural products than on vitamins and minerals.
The major strength of this analysis is the use of the population-based NHIS dataset, which contains detailed self-reported information on use and out-of-pocket spending on several types of CAM modalities. There is currently no other data-source providing this type of information. Additionally, the self-reported data allows for an understanding of the most important types of CAM for participants, as well as reasons for CAM use. NHIS sampling methods allow for one of the most accurate health estimates of minority persons in the U.S.
The 2012 NHIS dataset does have specific limitations related to the analyses of out-of-pocket costs associated with CAM use. One limitation of the 2012 NHIS dataset was the inability to separate out the costs associated with multivitamins/multiminerals from the costs associated with individual vitamins and minerals. Therefore, we included multivitamins and multiminerals with singular vitamins and minerals. In 2007, Nahin et al. reported that non-vitamin/mineral natural products accounted for 44% of the total CAM spending among U.S. adults. Excluding vitamin and mineral costs in our analyses, non-vitamin/mineral natural products contributed 48% of the total CAM costs among cancer survivors. These findings suggest that cancer survivors are using non-vitamin/mineral natural products at least as frequently as the general adult population. Another limitation of the 2012 NHIS dataset was that for any individual it only ascertains reasons for use of the three most frequently used forms of CAM. Therefore, if a participant used more than three forms of CAM the reasons for such use were not captured. Additionally, it is not possible to accurately estimate the specific costs of using CAM for cancer, or any other disease specific condition, because it is only possible to estimate the costs for the top three reasons stated. Given that 9% of cancer survivors reported using four or more forms of CAM, any estimate of CAM use specifically for cancer would likely be an underestimation because it would not capture the costs beyond the top three modalities identified by a participant. Finally, the NHIS did not differentiate primary and secondary cancer, making it impossible to differentiate the costs in survivors with multiple cancers and survivors experiencing metastases.
In addition, several methodological limitations may also impact the accuracy of the estimated CAM use and spending in cancer survivors. As the NHIS only interviews non-institutionalized persons, we expect that a healthy participant bias may underestimate the total number of cancer survivors. The National Cancer Institute (NCI) estimated 13.7 million cancer survivors in the U.S. as of January 2012. The NHIS’s estimated 20 million cancer survivors in 2012 is likely higher because NCI’s estimate did not include non-invasive cancers [35]. As NHIS does not collect detailed data on whether the cancer was a primary or secondary cancer, cancer stage or treatment received, we were unable to examine the association between severity of cancer/treatment and CAM use and spending. The CAM cost data is an imprecise measure due to self-report, as well as the calculations based on approximated number of visits and costs, which may be subject to misclassification. The one-time collection of the cost data may not be extrapolated to represent cost over 12 months. It is important to note that cost data is often skewed to the right, meaning there are a minority of participants with high out-of-pocket spending and that median spending is relatively low ($75) in comparison to mean spending ($445). Alternative methods to calculate the mean of right-skewed data were proposed by Briggs and Gray, who suggested a non-parametric approach of bootstrapping would be more appropriate [36]. However, this method has not incorporated the complex survey design. Therefore, we estimated both the mean and median out-of-pockets, and considered the median to be more representative of the central tendency of the costs. Although the data are skewed, the total cost in the population is unlikely to be biased. The right skewness of the data was largely driven by the presence of many zero costs for most modalities. These zero costs came from participant who only reported use but not any cost, or from participant reported that their costs were fully covered by insurance. In addition, the estimated cost is likely to be underestimated as the cost per practitioner visit was limited to $500 or below, and cost for purchasing self-learning materials was limited to $200 or below. However, the majority of participants reported costs within this range, with less than 10% of participants reported spending more than these limits across all CAM modalities, except for acupuncture (26.7% users spent more than $200 on learning materials) and Ayurveda (16.7% users spent more than $200 on learning materials) (data not shown). Sensitivity analyses by excluding participants with truncated cost generated similar albeit slightly lower out-of-pocket CAM costs (analyses not shown). The cross-sectional nature of these analyses precludes examination of the temporal relationship between use of vitamins/minerals and CAM and a cancer diagnosis. Despite these limitations, this study represents the most robust estimate to date of out-of-pocket CAM costs for cancer survivors in the U.S.
In summary, 79% of cancer survivors and 68% of cancer-free adults used CAM in 2012. It is important that clinicians are aware of the extent to which cancer survivors are using CAM, and are aware that the majority of this use is not for cancer specific concerns, but rather for general wellness, pain and cardiovascular reasons. This information can inform patient-provider conversations about the rationale for any CAM use. Cancer survivors accounted for only 6.9% of the total population but spent more than 11.4% of the annual out-of-pocket costs on CAM. It is important that patients, as well as clinicians, are aware of the financial implications of the use of vitamin/mineral and CAM modalities. Studies need to examine health outcomes associated with vitamin/mineral and CAM use among cancer patients, and to assess cost effectiveness of such use in this population.
Supplementary Material
Acknowledgments
The authors thank Richard Nahin, PhD at the National Center for Complementary and Integrative Health for his insightful comments and helpful suggestions on the data analysis and interpretation. Funding was provided by National Cancer Institute K23CA141052 (to Heather Greenlee).
Footnotes
Conflicts of interest: None
Disclosures: An earlier version of this analysis was presented at the 2014 International Research Congress on Integrative Medicine and Health in Miami, Florida.
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