Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Sep 11.
Published in final edited form as: JAMA Netw Open. 2020 Mar 2;3(3):e201809. doi: 10.1001/jamanetworkopen.2020.1809

Health care utilization, care satisfaction, and health status for Medicare Advantage and traditional Medicare beneficiaries with and without Alzheimer disease and related dementias

Sungchul Park 1, Lindsay White 2, Paul Fishman 3, Eric B Larson 4, Norma B Coe 5
PMCID: PMC7485599  NIHMSID: NIHMS1622429  PMID: 32227181

Abstract

Importance:

Compared to traditional fee-for-service Medicare (TM), Medicare Advantage (MA) plans may provide more efficient care for beneficiaries with Alzheimer disease and related dementias (ADRD) without compromising care quality.

Objective:

To determine differences in health care utilization, care satisfaction, and health status for MA and TM beneficiaries with ADRD and without ADRD.

Design, Setting, and Participants:

A retrospective cohort study of MA and TM beneficiaries with ADRD and without ADRD from all publicly available years of the Medicare Current Beneficiary Survey between 2010–2016. To address advantageous selection into MA plans, county-level MA enrollment rate was used as an instrument. Data were analyzed between July 2019 and December 2019.

Exposures:

MA enrollment.

Main Outcomes and Measures:

Self-reported health care utilization, care satisfaction, and health status.

Results:

Our sample included 47100 Medicare beneficiaries (44.1% female; mean [SD] age, 72.2 [11.4] years). Compared to TM beneficiaries with ADRD, MA beneficiaries with ADRD had lower utilization across the board (−22.3 medical provider visits [95% CI, −24.9 to −19.8], −2.3 outpatient hospital visits [95% CI, −3.6 to −1.1], −0.2 inpatient hospital admissions [95% CI, −0.3 to −0.1], and −0.1 long-term care facility stays [95% CI, −0.2 to −0.1]). A similar trend was observed among beneficiaries without ADRD, but the difference was greater between MA and TM beneficiaries with ADRD than between MA and TM beneficiaries without ADRD. Overall, no or negligible differences were detected in care satisfaction and health status between MA and TM beneficiaries with ADRD and without ADRD.

Conclusions and Relevance:

Compared to TM beneficiaries, MA beneficiaries had lower health care utilization without compromising care satisfaction and health status. This is more pronounced among beneficiaries with ADRD. These suggest that MA plans may be delivering health care more efficiently than TM, especially for beneficiaries with ADRD.


Caring for people with Alzheimer disease and related dementias (ADRD) will generate substantial costs to the U.S. health care system. Both the number of individuals with ADRD and the associated costs are projected to increase over time. As of 2010, there were 4.5 million Americans with ADRD.1 The number of Americans with ADRD is expected to be 13.2 million in 2050.1 Additionally, mean per-person Medicare costs for Medicare beneficiaries with ADRD were estimated to be $23497 in 2011, more than triple the average $7223 Medicare costs for Medicare beneficiaries without ADRD.2,4 Total costs (including health care, long-term care, and hospice services) for Medicare beneficiaries with ADRD are projected to rise from $172 billion in 2010 to $1.1 trillion in 2050.4 Such a dramatic rise in the costs of ADRD will cause a substantial burden to the federal government.

Managed care provides opportunities to reduce the growth rate of health care costs. Medicare provides a managed care option–the Medicare Advantage (MA) program–that allows beneficiaries to enroll in private insurance plans rather than in traditional fee-for-service Medicare (TM). There are several differences between MA and TM, but perhaps the most important is that MA providers are paid on a capitated basis rather than for each service performed. Capitation creates the incentive for providers to be efficient in their approach to care because their revenue is fixed prospectively.6 MA plans use various techniques to control health care utilization such as restricted provider networks, prior authorization, and utilization review, as well as investing in preventive services, care coordination, and chronic disease management.712

There is evidence that MA plans tended to enroll beneficiaries that are healthier on average and comparisons that use beneficiaries with similar health profiles have found lower health service utilization among MA beneficiaries than TM beneficiaries.710,13 These results have been attributed in part to improved care coordination, chronic care management, provision of low-intensity care, and transitions to less expensive care settings in MA plans. Additionally, compared to TM beneficiaries, MA beneficiaries had lower hospital readmission rates,8,9,14 better clinical quality outcomes,15,16 better patient experiences15,17 and lower mortality rates.8,18 These findings support the role that care coordination and management strategies among MA plans have the potential to improve the efficiency of care delivery without compromising care quality.

Within the literature addressing the role of MA plans in providing lower utilization with comparable quality to TM, we did not find any reference to the impact of MA plans among individuals diagnosed with ADRD. However, there is suggestive evidence of inefficient care delivery and health care utilization for TM beneficiaries with ADRD. A large proportion of health care utilization for beneficiaries with ADRD is due to transitions to high-cost settings such as an inpatient setting or skilled nursing facility,1921 some of which have been shown to be unnecessary or preventable.2225 Moreover, MA plans may make targeted improvements in the care management of beneficiaries with ADRD due to the growing volume of ADRD beneficiaries enrolled. Research found that after a new ADRD diagnosis, TM beneficiaries were more likely to switch to MA plans while MA beneficiaries were more likely to stay in MA plans.26

To address this gap, we examine health care utilization, care satisfaction, and health status among beneficiaries with ADRD in MA and TM. We compare our findings with those of a similar analysis among beneficiaries without ADRD to address the relative impact of MA enrollment.

METHODS

Data

We used the Medicare Current Beneficiary Survey (MCBS) and the Geographic Variation Public Use File. The MCBS provides a nationally representative sample of the Medicare population with a four-year follow-up. The data provides individual-level information on demographic, socioeconomic, health care utilization, care satisfaction, and health status characteristics. The Geographic Variation Public Use File provides county-level MA enrollment rates. Our analysis uses all publicly available data from 2010–2016.1 This study was approved by the University of Pennsylvania’s institutional review board and received a waiver of informed consent and HIPPA authorization. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cohort studies. Data were analyzed between between July 2019 and December 2019.

Study Sample

We included Medicare beneficiaries 65 years or older with 12 months of continuous enrollment in MA or TM. We excluded those whose original eligibility was attributable to disability or end-stage renal disease and those who died. We then identified the following four groups: MA beneficiaries with ADRD, TM beneficiaries with ADRD, MA beneficiaries without ADRD, and TM beneficiaries without ADRD. We identified ADRD cases through the beneficiary or proxy survey responses to the following question: “Has a doctor ever told you that you had Alzheimer disease or dementia?”

Variables

Our outcomes were self-reported health care utilization, care satisfaction, and health status. First, we assessed utilization for each of the following nine types of service: inpatient hospital admission, outpatient hospital visit, medical provider visit, home health visit, hospice stay, short-term facility stay (e.g., skilled nursing facility), long-term care facility stay (e.g., nursing home), prescription drug purchase measured as a single purchase of a single drug in a single container, and dental visit. Self-reported utilization for TM beneficiaries undergoes extensive validation using Medicare claims data and has generally been found to be accurate.27,28 Second, we assessed the extent to which beneficiaries were satisfied with their plans in terms of care quality, out-of-pocket costs, access to specialists, follow-up after initial treatments, and physician’s concern for overall health. Satisfaction was measured in four levels: very dissatisfied, dissatisfied, satisfied, or very satisfied. Finally, we assessed self-reported general health status compared to same-age people and overall health status compared to a year ago. General health status compared to same-age people was measured in five levels: poor, fair, good, very good, or excellent. Overall health status compared to a year ago was measured in two levels: worse health or same/better health. A higher value indicates better care satisfaction or health status.

Our key independent variables were 12-months enrollment in MA, presence of ADRD, and its interaction term. To control for differences in sample characteristics among MA and TM beneficiaries, we included the following variables: age; gender; race/ethnicity; education level; income; Medicare/Medicaid dual eligibility; marital status; indicator for living with someone; residence in metro area; census region of residence; comorbidity; number of activities of daily living limitations; and year.

Research has found that healthy beneficiaries are more likely to enroll in MA than TM, suggesting advantageous selection would invalidate a direct comparison between MA and TM beneficiaries.2932 To address selection, we used an instrumental variable (IV) approach, using county-level MA enrollment rate as an instrument for the individual-level decision to enroll in MA plans. We calculated the county-level MA enrollment rate as the share of Medicare beneficiaries (aged 65 and older) enrolled in MA plans.

Statistical Analysis

We estimated sample characteristics and outcomes and tested unadjusted differences between MA and TM beneficiaries with and without ADRD. We used chi-square tests for categorical variables and analysis of variance for continuous variables. Next, we performed a two-stage least squares regression model. In the first stage, we obtained the predicted likelihood of enrolling in MA plans while accounting for advantageous selection into MA plans based on the country-level MA enrollment rates. In the second stage, we estimated the association between predicted enrollment in MA plans from the first stage and the outcomes of interest. To assess whether the instrument was strong, we tested the relationship with MA enrollment and then examined F statistics, where greater than ten traditionally indicates a strong instrument.33 To assess whether the instrument was valid, we examined the association between the instrument and measured confounders because we cannot directly assess the association between the instrument and unmeasured confounders. Both stages adjusted for control variables described above and adjusted the standard errors for clustering within county.

Using the predictive marginal effects estimated from the two-stage least squares regression model, we estimated the predicted mean values of the outcomes for MA beneficiaries with ADRD, TM beneficiaries with ADRD, MA beneficiaries without ADRD, and TM beneficiaries without ADRD, respectively. We then performed post-estimation tests to estimate the differences in the outcomes between MA and TM beneficiaries with and without ADRD, respectively. We conducted several sensitivity analyses. First, we re-examined our analysis by using state-level MA enrollment rates because there may be some concern about the validity of the county-level MA enrollment rate as an instrument. Second, we adjusted the standard errors for clustering within individual and county. In our primary analysis, we treated the MBCS data for each year as an independent annual cross-sectional survey even though some beneficiaries were in the data over multiple years. We used survey weights to adjust sample characteristics to be representative of the Medicare population. All P values were from 2-sided tests and results were deemed statistically significant at p < 0.05.

RESULTS

Our sample included 47100 Medicare beneficiaries (44.1% female; mean [SD] age, 72.2 [11.4] years) (Table 1). We identified 1006 MA beneficiaries with ADRD, 1841 TM beneficiaries with ADRD, 14880 MA beneficiaries without ADRD, and 29373 TM beneficiaries without ADRD. MA and TM beneficiaries with ADRD had similar sample characteristics. However, there were significant differences in sample characteristics between MA and TM beneficiaries without ADRD in terms of comorbidities. While there are statistical differences in the co-morbid conditions, MA beneficiaries without ADRD were not necessarily healthier than TM beneficiaries without ADRD.

Table 1.

Sample characteristics of traditional Medicare and Medicare Advantage beneficiaries with and without Alzheimer disease and related dementias.

With ADRD Without ADRD
TM beneficiaries MA beneficiaries P value TM beneficiaries MA beneficiaries P value
Characteristics (n = 1841) (n = 1006) (n = 29373) (n = 14880)
Age, Mean (SD) 77.56 (12.0) 77.14 (11.0) 0.271 71.56 (11.9) 72.54 (9.8) <.0001
Female, N (%) 1089 (59.2) 610 (60.6) 0.440 15966 (54.4) 8235 (55.3) 0.049
Race/ethnicity, N (%) <.0001 <.0001
 Non-Latino white 1376 (74.7) 680 (67.6) 24002 (81.7) 10753 (72.3)
 Non-Latino black 235 (12.8) 119 (11.8) 2790 (9.5) 1649 (11.1)
 Non-Latino Asian 51 (2.8) 12 (1.2) 384 (1.3) 253 (1.7)
 Latino 154 (8.4) 178 (17.7) 1801 (6.1) 2019 (13.6)
 Others 69 (3.7) 40 (4.0) 973 (3.3) 402 (2.7)
Education, N (%) 0.078 <.0001
 Less than high school 578 (31.4) 363 (36.1) 6055 (20.6) 3500 (23.5)
 High school completion 636 (34.5) 325 (32.3) 10786 (36.7) 5574 (37.5)
 Some college or associate’s degree 279 (15.2) 154 (15.3) 6166 (21.0) 2912 (19.6)
 Bachelor’s degree 167 (9.1) 88 (8.7) 3466 (11.8) 1584 (10.6)
 Advanced degree 156 (8.5) 66 (6.6) 2800 (9.5) 1270 (8.5)
Income, N (%) 0.003 <.0001
 Less than $25000 974 (52.9) 607 (60.3) 12639 (43.0) 6937 (46.6)
 $25000-$50000 745 (40.5) 355 (35.3) 15121 (51.5) 7296 (49.0)
 More than $50000 36 (2.0) 15 (1.5) 561 (1.9) 216 (1.5)
Dual eligibility for Medicare and Medicaid, N (%) 465 (25.3) 232 (23.1) 0.580 5876 (20.0) 2349 (15.8) <.0001
Married, N (%) 811 (44.1) 454 (45.1) 0.193 14121 (48.1) 7691 (51.7) <.0001
Living with others, N (%) 0.405
 Living alone 451 (24.5) 221 (22.0) 9421 (32.1) 4570 (30.7)
 Living with spouse 764 (41.5) 424 (42.1) 13472 (45.9) 7282 (48.9)
 Living with non-spouse family 568 (30.9) 323 (32.1) 5368 (18.3) 2521 (16.9)
 Living with non-relatives 58 (3.2) 38 (3.8) 1112 (3.8) 507 (3.4)
Residence in metro area, N (%) 1259 (68.4) 864 (85.9) <.0001 19954 (67.9) 12504 (84.0) <.0001
Census region of residence, N (%) <.0001 <.0001
 New England 53 (2.9) 19 (1.9) 1014 (3.5) 314 (2.1)
 Middle Atlantic 203 (11.0) 158 (15.7) 3593 (12.2) 2343 (15.7)
 East North Atlantic 311 (16.9) 151 (15.0) 5350 (18.2) 2448 (16.5)
 West North Atlantic 110 (6.0) 60 (6.0) 2256 (7.7) 989 (6.6)
 South Atlantic 430 (23.4) 190 (18.9) 6537 (22.3) 2843 (19.1)
 East South Central 213 (11.6) 55 (5.5) 2847 (9.7) 792 (5.3)
 West South Central 228 (12.4) 91 (9.0) 2999 (10.2) 1281 (8.6)
 Mountain 113 (6.1) 87 (8.6) 2152 (7.3) 1331 (8.9)
 Pacific 168 (9.1) 139 (13.8) 2531 (8.6) 1938 (13.0)
 Puerto Rico 12 (0.7) 56 (5.6) 94 (0.3) 601 (4.0)
Comorbidity, N (%)
 Hardening of arteries 320 (17.4) 147 (14.6) 0.056 2923 (10.0) 1333 (9.0) 0.001
 Hypertension 1382 (75.1) 775 (77.0) 0.241 19919 (67.8) 10519 (70.7) <.0001
 Heart attack 332 (18.0) 181 (18.0) 0.978 3651 (12.4) 1871 (12.6) 0.661
 Stroke 467 (25.4) 272 (27.0) 0.331 3041 (10.4) 1535 (10.3) 0.909
 Coronary heart disease 312 (16.9) 147 (14.7) 0.113 3272 (11.1) 1584 (10.7) 0.119
 Cancer 705 (38.3) 357 (35.5) 0.139 10797 (36.8) 5043 (33.9) <.0001
 Rheumatoid arthritis 447 (24.3) 228 (22.7) 0.329 4424 (15.1) 2445 (16.4) <.0001
 Osteoporosis 589 (32.0) 316 (31.4) 0.750 6333 (21.6) 3381 (22.7) 0.005
 Asthma/COPD 411 (22.3) 257 (25.5) 0.052 6234 (21.2) 2929 (19.7) <.0001
 Diabetes 542 (29.4) 330 (32.8) 0.063 7760 (26.4) 4502 (30.3) <.0001
 Mental illness 371 (20.2) 191 (19.0) 0.455 2977 (10.1) 1052 (7.1) <.0001
 Depression 940 (51.1) 501 (49.8) 0.521 8168 (27.8) 3813 (25.6) <.0001
Number of ADLs limitations, N (%) 0.010 <.0001
 0 245 (13.3) 174 (17.3) 13871 (47.3) 7691 (51.7)
 1–2 254 (13.8) 120 (12.0) 5855 (19.9) 2927 (19.7)
 3+ 1339 (72.9) 709 (70.7) 9627 (32.8) 4251 (28.6)
Year, N (%) <.0001 <.0001
 2010 333 (18.1) 142 (14.1) 5471 (18.6) 2106 (14.2)
 2011 365 (19.8) 155 (15.4) 5460 (18.6) 2325 (15.6)
 2012 356 (19.3) 169 (16.8) 5454 (18.6) 2630 (17.7)
 2013 355 (19.3) 190 (18.9) 5210 (17.7) 2603 (17.5)
 2015 229 (12.4) 193 (19.2) 4272 (14.5) 2848 (19.1)
 2016 203 (11.0) 157 (15.6) 3506 (11.9) 2368 (15.9)

Abbreviations: ADRD, Alzheimer disease and related dementias; TM, traditional Medicare; MA Medicare Advantage, SD; standard deviation; COPD, chronic obstructive pulmonary disease; ADLs, Activities of daily living.

Our unadjusted analysis showed that MA beneficiaries with ADRD tended to have lower health care utilization than TM beneficiaries with ADRD, but there were no significant differences in care satisfaction and health status (Table 2). Compared to TM beneficiaries with ADRD, MA beneficiaries with ADRD were more likely to have lower inpatient hospital admissions, outpatient hospital visits, medical provider visits, and long-term care facility stays, but they were more likely to have higher prescription drug purchases. A similar result was found among beneficiaries without ADRD. However, we observed no significant differences in care satisfaction and health status between MA and TM beneficiaries with ADRD. Significant differences in care satisfaction and health status were found between MA and TM beneficiaries without ADRD, but the differences were modest.

Table 2.

Health care utilization, care satisfaction, and health status of traditional Medicare and Medicare Advantage beneficiaries with and without Alzheimer disease and related dementias.

With ADRD Without ADRD
Outcomes TM beneficiaries MA beneficiaries P value TM beneficiaries MA beneficiaries P value
Health care utilization, Mean (SD)
 Inpatient hospital admission (n = 47100) 0.5 (1.0) 0.3 (0.6) <0.001 0.2 (0.7) 0.2 (0.5) <0.001
 Outpatient hospital visit (n = 47100) 6.1 (10.2) 3.5 (9.6) <0.001 5.6 (9.4) 2.6 (6.3) <0.001
 Medical provider visita (n = 47100) 39.7 (39.0) 17.3 (19.0) <0.001 31.7 (32.8) 14.2 (20.4) <0.001
 Home health visit (n = 47100) 67.0 (159.3) 67.4 (176.5) 0.950 14.3 (85.0) 10.8 (63.0) <0.001
 Hospice stay (n = 47100) 0.0 (0.2) 0.0 (0.2) 0.111 0.0 (0.1) 0.0 (0.1) 0.326
 Short-term facility stay (n = 47100) 0.3 (1.1) 0.1 (0.4) <0.001 0.1 (0.4) 0.0 (0.3) <0.001
 Long-term facility stay (n = 47100) 0.0 (0.1) 0.0 (0.1) 0.646 0.0 (0.0) 0.0 (0.0) 0.595
 Prescription drug purchaseb (n = 33671) 58.5 (52.4) 65.5 (54.9) <0.001 41.5 (46.5) 44.2 (47.8) <0.001
 Dental visit (n = 47100) 1.0 (2.2) 0.9 (1.6) 0.211 1.5 (2.2) 1.3 (2.1) <0.001
Care satisfactionc, Mean (SD)
 Quality of medical care (n = 25533) 3.8 (0.6) 3.9 (0.5) 0.097 3.8 (0.7) 3.8 (0.7) <0.001
 OOP costs for medical care (n = 34274) 3.7 (0.7) 3.6 (0.8) 0.288 3.6 (0.8) 3.6 (0.7) 0.023
 Available care by specialists (n = 32777) 3.6 (1.0) 3.6 (0.9) 0.196 3.5 (1.1) 3.5 (1.0) 0.006
 Follow-up after initial treatments (n = 33389) 3.5 (1.1) 3.5 (1.1) 0.891 3.4 (1.2) 3.3 (1.2) <0.001
 Physician’s concern for overall health (n = 31423) 3.8 (0.6) 3.9 (0.5) 0.090 3.8 (0.7) 3.8 (0.7) <0.001
Health statusc, Mean (SD)
 General health status compared to same-age people (n = 46859) 2.7 (1.0) 2.7 (1.0) 0.587 3.2 (0.9) 3.2 (0.9) <0.001
 Overall health status compared to a year ago (n = 46970) 0.6 (0.5) 0.6 (0.5) 0.078 0.8 (0.4) 0.8 (0.4) 0.003

Abbreviations: ADRD, Alzheimer disease and related dementias; TM, traditional Medicare; MA, Medicare Advantage; SD; standard deviation, OOP, out-of-pocket.

a

The unit of measurement is a separate visit, procedure, service, or a supplied item.

b

The unit of measurement is a single purchase of a single drung in a single container.

c

A higher value indicates better care satisfaction or health status.

We found that the county-level MA enrollment rate was a strong and valid instrument. Greater MA enrollment was associated with a higher likelihood of enrolling in MA plans and F statistics were greater than ten (Table 3). Also, most individual-level control variables were balanced across values of the instrument.

Table 3.

Results from first-stage regression of county-level Medicare Advantage enrollment on Medicare Advantage enrollment

MA enrollment
Health care utilization except for prescription drug purchase Prescription drug purchase Quality of medical care OOP costs for medical care Available care by specialists Follow-up after initial treatments Physician’s concern for overall health General health status compared to same-age people Overall health status compared to a year ago
County-level MA enrollmenta 0.009 (0.008 to 0.010) 0.010 (0.009 to 0.011) 0.009 (0.008 to 0.011) 0.009 (0.008 to 0.010) 0.009 (0.008 to 0.010) 0.009 (0.008 to 0.010) 0.008 (0.009 to 0.011) 0.009 (0.008 to 0.011) 0.009 (0.008 to 0.010)
Observations 47100 33671 25533 34274 32777 33389 31423 46859 46970
R-Squared 0.159 0.187 0.161 0.156 0.161 0.159 0.161 0.159 0.159
F-statistics 289.35 184.56 289.20 341.04 287.27 335.76 287.15 288.64 278.22

Abbreviations: MA, Medicare Advantage; OOP, out-of-pocket.

a

The unit of measurement is the share of Medicare beneficiaries (aged 65 and older) enrolled in MA plans at the country level.

Our IV analysis showed that MA beneficiaries with ADRD had lower levels of health care utilization than TM beneficiaries with ADRD (Table 4). Compared to TM beneficiaries with ADRD, MA beneficiaries with ADRD had lower utilization (−22.3 medical provider visits [95% CI, −24.9 to −19.8], −2.3 outpatient hospital visits [95% CI, −3.6 to −1.1], −0.2 inpatient hospital admissions [95% CI, −0.3 to −0.1], and −0.1 long-term care facility stays [95% CI, −0.2 to −0.1]). There were no significant differences in home health visits, short-term facility stays, prescription drug purchases, and dental visits. Similar trends were observed among beneficiaries without ADRD, in that MA beneficiaries had fewer medical provider visits, outpatient hospital visits, and inpatient hospital admissions than TM beneficiaries. However, there were several differences between beneficiaries with and without ADRD. First, the magnitude of the differences in medical provider visits, outpatient hospital visits, and inpatient hospital admissions was greater between beneficiaries with ADRD than between beneficiaries without ADRD (−15.0 medical provider visits [95% CI, −18.7 to −11.3], −1.7 outpatient hospital visits [95% CI, −3.0 to −0.3], and −0.1 inpatient hospital admissions [95% CI, −1.0 to 0.0]). Additionally, MA beneficiaries without ADRD had 19.4 more prescription drug purchases [95% CI, 10.4 to 28.5] than TM beneficiaries without ADRD.

Table 4.

Differences in health care utilization between traditional Medicare and Medicare Advantage beneficiaries with and without Alzheimer disease and related dementias.

Adjusted predictions, mean (95% CI)a
With ADRD Without ADRD
Outcomes TM beneficiaries MA beneficiaries Differences among MA beneficiaries relative to TM beneficiaries TM beneficiaries MA beneficiaries Differences among MA beneficiaries relative to TM beneficiaries
Number of health care utilization
 Inpatient hospital admission (n = 47100) 0.47 (0.4 to 0.5) 0.3 (0.2 to 0.3) −0.2 (−0.3 to −0.1) 0.2 (0.2 to 0.3) 0.2 (0.1 to 0.2) −0.1 (−0.1 to −0.0)
 Outpatient hospital visit (n = 47100) 6.0 (5.3 to 6.7) 3.7 (2.7 to 4.7) −2.3 (−3.6 to −1.1) 5.2 (4.6 to 5.7) 3.5 (2.6 to 4.3) −1.7 (−3.0 to −0.3)
 Medical provider visitb (n = 47100) 39.7 (37.5 to 41.9) 17.4 (16.0 to 18.8) −22.3 (−24.9 to −19.8) 30.8 (29.4 to 32.2) 15.8 (13.3 to 18.2) −15.0 (−18.7 to −11.3)
 Home health visit (n = 47100) 66.4 (57.3 to 75.6) 69.3 (55.5 to 83.0) 2.8 (−12.7 to 18.4) 11.9 (9.1 to 14.8) 15.2 (9.6 to 20.8) 3.3 (−4.9 to 11.4)
 Hospice stay (n = 47108) 0.0 (0.0 to 0.1) 0.0 (0.0 to 0.0) −0.0 (−0.0 to 0.0) 0.0 (0.0 to 0.0) 0.0 (0.0 to 0.0) 0.0 (0.0 to 0.0)
 Short-term facility stay (n = 47100) 0.3 (0.2 to 0.3) 0.1 (0.1 to 0.1) −0.1 (−0.2 to −0.1) 0.1 (0.1 to 0.1) 0.0 (−0.0 to 0.1) −0.0 (−0.1 to 0.0)
 Long-term facility stay (n = 47100) 0.0 (0.0 to 0.0) 0.0 (0.0 to 0.0) 0.0 (−0.0 to 0.0) 0.0 (0.0 to 0.0) 0.0 (0.0 to 0.0) 0.0 (−0.0 to 0.0)
 Prescription drug purchasec (n = 33671) 67.5 (63.0 to 72.0) 71.9 (67.8 to 76.0) 4.4 (−1.6 to 10.5) 40.5 (36.3 to 44.6) 59.9 (54.6 to 65.2) 19.4 (10.4 to 28.5)
 Dental visit (n = 47100) 1.0 (0.9 to 1.1) 0.9 (0.8 to 1.0) −0.1 (−0.3 to 0.1) 1.4 (1.3 to 1.5) 1.5 (1.3 to 1.6) 0.1 (−0.2 to 0.3)

Abbreviations: ADRD, Alzheimer disease and related dementias; TM, traditional Medicare; MA, Medicare Advantage.

a

A two-stage least square regression model was used and county-level MA penetration was used as an instrument. Both stages adjusted the standard errors for clustering within county.

b

The unit of measurement is a separate visit, procedure, service, or a supplied item.

c

The unit of measurement is a single purchase of a single drung in a single container.

Our IV analysis also showed that, overall, there were no significant differences in care satisfaction and health status between MA and TM beneficiaries with ADRD (except for satisfaction on physician’s concern for overall health) and without ADRD (except for general health status compared to same-age people) (Table 5).

Table 5.

Differences in care satisfaction and health status between traditional Medicare and Medicare Advantage beneficiaries with and without Alzheimer disease and related dementias.

Adjusted predictions, mean (95% CI)a
With ADRD Without ADRD
Outcomes TM beneficiaries MA beneficiaries Differences among MA beneficiaries relative to TM beneficiaries TM beneficiaries MA beneficiaries Differences among MA beneficiaries relative to TM beneficiaries
Care satisfactionb
 Quality of medical care (n = 25533) 3.8 (3.8 to 3.7) 3.9 (3.8 to 3.9) 0.1 (0.0 to 0.1) 3.8 (3.7 to 3.8) 3.8 (3.7 to 3.8) −0.0 (−0.1 to 0.1)
 OOP costs for medical care (n = 34274) 3.7 (3.6 to 3.7) 3.6 (3.6 to 3.7) 0.0 (−0.1 to 0.1) 3.7 (3.6 to 3.7) 3.5 (3.4 to 3.7) −0.1 (−0.4 to 0.1)
 Available care by specialists (n = 32777) 3.5 (3.5 to 3.6) 3.6 (3.6 to 3.7) 0.1 (−0.0 to 0.2) 3.5 (3.4 to 3.6) 3.6 (3.5 to 3.7) 0.1 (−0.1 to 0.3)
 Follow-up after initial treatments (n = 33389) 3.5 (3.4 to 3.5) 3.5 (3.4 to 3.6) 0.0 (−0.1 to 0.1) 3.4 (3.3 to 3.5) 3.2 (3.1 to 3.4) −0.2 (−0.4 to 0.0)
 Physician’s concern for overall health (n = 31423) 3.8 (3.8 to 3.8) 3.9 (3.8 to 3.9) 0.1 (0.0 to 0.1) 3.8 (3.7 to 3.8) 3.8 (3.7 to 3.8) 0.0 (−0.1 to 0.1)
Health statusb
 General health status compared to same-age people (n = 46859) 2.7 (2.6 to 2.7) 2.7 (2.6 to 2.8) 0.0 (−0.1 to 0.1) 3.2 (3.2 to 3.3) 3.1 (3.0 to 3.2) −0.1 (−0.2 to −0.1)
 Overall health status compared to a year ago (n = 46970) 0.6 (0.6 to 0.6) 0.6 (0.6 to 0.7) 0.0 (−0.0 to 0.1) 0.8 (0.8 to 0.8) 0.8 (0.8 to 0.8) −0.0 (−0.1 to 0.0)

Abbreviations: ADRD, Alzheimer disease and related dementias; TM, traditional Medicare; MA, Medicare Advantage; OOP, out-of-pocket.

a

A two-stage least square regression model was used and county-level MA penetration was used as an instrument. Both stages adjusted the standard errors for clustering within county.

b

A higher value indicates better care satisfaction or health status.

Results are robust to using state-level MA enrollment rates as an instrument (Appendix Table 1) and clustering within individual and county (Appendix Tables 2 and 3).

DISCUSSION

In an analysis of a nationally representative sample of the Medicare population, we found that compared to TM beneficiaries with ADRD, MA beneficiaries with ADRD had lower health care utilization, particularly for medical provider visits. A similar trend was observed among beneficiaries without ADRD, but the magnitude of the difference in health care utilization was larger between beneficiaries with ADRD than between beneficiaries without ADRD. On the other hand, no or marginal differences were detected in care satisfaction and health status between MA and TM beneficiaries with and without ADRD.

We observed that MA and TM beneficiaries with ADRD had similar demographic and health characteristics. We also found that there were differences in sample characteristics between MA and TM beneficiaries without ADRD, but this does not necessarily indicate that healthier beneficiaries were more likely to enroll in MA than TM. These results are consistent with the more recent literature, which suggests that there is little evidence to suggest that MA plans still enroll healthier beneficiaries than TM.8 Similar sample characteristics of beneficiaries with ADRD is of particular interest because research found that beneficiaries have increasingly enrolled in MA plans when newly diagnosed with ADRD.26 This may reflect preference of beneficiaries with ADRD for MA plans because MA plans have flexibility to provide enhanced services for complex and high-need patients through coordinated care that addresses the medical, behavioral, and social aspects of the disease.

We also found that MA beneficiaries had fewer medical provider visits, outpatient hospital visits, and inpatient hospital admissions than TM beneficiaries, and these differences were more pronounced among beneficiaries with ADRD than beneficiaries without ADRD. The largest decrease was in medical provider visits. Medical provider visits are of particular interest because they measure individual events for a variety of medical services, equipment, and supplies, possibly reflecting a high intensity of care. Hence, higher medical provider visits among TM beneficiaries relative to MA beneficiaries may indicate inefficient care delivery in TM due to a lack of incentive to control utilization and coordinate care. Furthermore, the fee-for-service payment system under the TM system may incentivize more face-to-face visits, but MA plans have greater flexibility in the methods for delivering the care. For example, MA plans have provided additional telehealth services as a supplemental benefit, enabling MA enrollees to access to care without going to their providers. Further decreases in medical provider visits among MA enrollees are expected starting in 2020, when MA plans will be able to include telehealth as a basic government-funded benefit.35 This is particularly relevant to beneficiaries with ADRD, who tend to have more frequent transitions and require care coordination.36,37 Another notable finding is that MA beneficiaries with ADRD had lower inpatient hospital admissions than TM beneficiaries with ADRD. Although the magnitude of the difference in inpatient hospital admissions between MA and TM beneficiaries with ADRD was modest, lower inpatient hospital admissions among MA beneficiaries with ADRD are notable because hospitalizations may adversely affect the health status of beneficiaries with ADRD by increasing the risk of nosocomial infections, falls, and cognitive decline.38,39

We detected no differences in care satisfaction between MA and TM beneficiaries with or without ADRD. This finding provides suggestive evidence that MA plans may not tailor benefit packages to selectively attract healthy beneficiaries, leading to decreased advantageous selection over time.8,40,41 However, there is evidence showing that advantageous selection has decreased, but not eliminated. Specifically, 11% and 2% of MA beneficiaries voluntarily switched to another MA plan or TM, respectively.42 Particularly, switching to TM was high among MA beneficiaries with high-need, high-cost.3032,4244 High disenrollment rates were partly attributable to poor patient experience.45

There were no or negligible differences in health status between MA and TM beneficiaries with or without ADRD. This result suggests that lower health care utilization among MA beneficiaries may not be attributable to under-provision of care and thus not come at the cost of poorer care quality. Rather, MA plans may achieve lower health care utilization through high efficiency of care. This contributes to the growing literature showing that TM lacks a direct financial incentive to control utilization which could lead to excess care provision that does not improve patient outcomes.8,14,46 Research found that MA beneficiaries had increased inpatient utilization and total charges by 60% and 50%, respectively, when they were forced out of MA plans due to plan exit. However, the increases in utilization and charges were not associated with any measurable reduction in hospital quality or patient mortality.38

Limitations

Our study has several limitations. First, our variables may be subject to self-reporting errors. Although self-reported utilization for MA beneficiaries was not validated, this is less likely to affect our findings because self-reported utilization for TM beneficiaries has been found to be accurate based on validation using Medicare claims data. Second, our findings for beneficiaries with ADRD may be confounded by proxy response since about 55% of them relied on proxy response, although there is not a differential proxy response rate by MA versus TM. Third, we did not detect differences in patient satisfaction, and this could be due to sample size. Our power analysis suggests that we could detect significant differences in patient satisfaction by 5–57%, depending on outcome. Fourth, we found that MA and TM beneficiaries had similar comorbidities characteristics. However, comorbidities might not be equal across MA and TM due to aggressive diagnostic coding in MA plans.47,48 Fifth, research found that MA beneficiaries disenrolled from their plans following health shocks.31 Requiring 12-months continuous enrollment in MA or TM to ensure accurate health plan attribution may lead to some selection on care satisfaction. Finally, due to the coarse measurements available, we could not account for the severity of ADRD.

CONCLUSIONS

Compared to TM beneficiaries, MA beneficiaries had lower health care utilization without compromising care satisfaction and health status, particularly among beneficiaries with ADRD. These suggest that MA plans may be more efficient at delivering health care for beneficiaries with ADRD.

Supplementary Material

Supplementary Materials

Key Points.

Question:

Are there differences in health care utilization, care satisfaction, and health status among Medicare beneficiaries with Alzheimer disease and related dementias (ADRD) enrolled in Medicare Advantage (MA) versus traditional Medicare (TM)?

Findings:

In a retrospective cohort study using the Medicare Current Beneficiary Survey, we found that MA beneficiaries with ADRD had significantly less health care utilization than TM beneficiaries with ADRD, especially for medical provider visits. Overall, there were no differences in care satisfaction and health status.

Meaning:

These suggest that MA plans may achieve lower health care utilization through high efficiency of care rather than under-provision of care.

ACKNOWLEDGEMENT

NIA had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript to submit for publication.

Footnotes

1

The 2014 MCBS data was never released.

Contributor Information

Sungchul Park, Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA.

Lindsay White, RTI International, Research Triangle Park, NC.

Paul Fishman, Department of Health Services, School of Public Health, University of Washington, Seattle, WA.

Eric B Larson, Kaiser Permanent Washington Health Research Institute, Seattle, WA.

Norma B Coe, Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

References

  • 1.Hebert LE, Scherr PA, Bienias JL, Bennett DA, Evans DA. Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch Neurol. 2003;60(8):1119–1122. [DOI] [PubMed] [Google Scholar]
  • 2.Hurd MD, Martorell P, Delavande A, Mullen KJ, Langa KM. Monetary costs of dementia in the United States. N Engl J Med. 2013;368(14):1326–1334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.White L, Fishman P, Basu A, Crane PK, Larson EB, Coe NB. Medicare expenditures attributable to dementia. Health Serv Res. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Alzheimer’s Association. 2017 Alzheimer’s disease facts and figures. Alzheimers Dement. 2017;3(4):325–373. [Google Scholar]
  • 5.Langa KM, Chernew ME, Kabeto MU, et al. National estimates of the quantity and cost of informal caregiving for the elderly with dementia. J Gen Intern Med. 2001;16(11):770–778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Newhouse JP, McGuire TG. How successful is Medicare Advantage? Milbank Q. 2014;92(2):351–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Landon BE, Zaslavsky AM, Saunders RC, Pawlson LG, Newhouse JP, Ayanian JZ. Analysis of Medicare Advantage HMOs compared with traditional Medicare shows lower use of many services during 2003–09. Health Aff (Millwood). 2012;31(12):2609–2617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Huckfeldt PJ, Escarce JJ, Rabideau B, Karaca-Mandic P, Sood N. Less intense postacute care, better outcomes for enrollees In Medicare Advantage than those in fee-for-service. Health Aff (Millwood). 2017;36(1):91–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Henke RM, Karaca Z, Gibson TB, et al. Medicare Advantage and traditional Medicare hospitalization intensity and readmissions. Med Care Res Rev. 2018;75(4):434–453. [DOI] [PubMed] [Google Scholar]
  • 10.Curto V, Einav L, Finkelstein A, Levin J, Bhattacharya J. Health care spending and utilization in public and private Medicare. Am Econ J: Appl Econ 2019;11(2):302–332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Medicare Payment Advisory Comission. Report to the Congress: Medicare payment policy [Internet]. In. Washington, DC: MedPAC; 2015. [Google Scholar]
  • 12.Park S, Figueroa JF, Fishman P, Coe NB. Primary care utilization and expenditures in Medicare Advantage and Traditional Medicare, 2007–2016. J Intern Med. Forthcoming. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Park S, Larson EB, Fishman P, White L, Coe NB. Health care utilization, process of diabetes care, care satisfaction, and health status in patients with diabetes in Medicare Advantage vs Traditional Medicare. Under review. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kumar A, Rahman M, Trivedi AN, Resnik L, Gozalo P, Mor V. Comparing post-acute rehabilitation use, length of stay, and outcomes experienced by Medicare fee-for-service and Medicare Advantage beneficiaries with hip fracture in the United States: a secondary analysis of administrative data. PLOS Medicine. 2018;15(6):e1002592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Timbie JW, Bogart A, Damberg CL, et al. Medicare Advantage and fee-for-service performance on clinical quality and patient experience measures: comparisons from three large states. Health Serv Res. 2017;52(6):2038–2060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Figueroa JF, Blumenthal DM, Feyman Y, et al. Differences in management of coronary artery disease in patients with Medicare Advantage vs traditional fee-for-service Medicare among cardiology practices. JAMA Cardiol. 2019;4(3):265–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Elliott MN, Landon BE, Zaslavsky AM, et al. Medicare prescription drug plan enrollees report less positive experiences than their Medicare Advantage counterparts. Health Aff (Millwood). 2016;35(3):456–463. [DOI] [PubMed] [Google Scholar]
  • 18.Newhouse JP, Price M, McWilliams JM, Hsu J, Souza J, Landon BE. Adjusted mortality rates are lower for Medicare Advantage than traditional Medicare, but the rates converge over time. Health Aff (Millwood). 2019;38(4):554–560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Khandker RK, Black CM, Xie L, et al. Analysis of episodes of care in Medicare beneficiaries newly diagnosed with Alzheimer’s disease. J Am Geriatr Soc. 2018;66:864–870. [DOI] [PubMed] [Google Scholar]
  • 20.Teno JM, Gozalo PL, Bynum JP, et al. Change in end-of-life care for Medicare beneficiaries: site of death, place of care, and health care transitions in 2000, 2005, and 2009. JAMA. 2013;309(5):470–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.LaMantia MA, Scheunemann LP, Viera AJ, Busby-Whitehead J, Hanson LC. Interventions to improve transitional care between nursing homes and hospitals: a systematic review. J Am Geriatr Soc. 2010;58(4):777–782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Intrator O, Zinn J, Mor V. Nursing home characteristics and potentially preventable hospitalizations of long-stay residents. J Am Geriatr Soc. 2004;52(10):1730–1736. [DOI] [PubMed] [Google Scholar]
  • 23.Grabowski DC, O’Malley AJ, Barhydt NR. The costs and potential savings associated with nursing home hospitalizations. Health Aff (Millwood). 2007;26(6):1753–1761. [DOI] [PubMed] [Google Scholar]
  • 24.Ouslander JG, Lamb G, Tappen R, et al. Interventions to reduce hospitalizations from nursing homes: evaluation of the INTERACT II collaborative quality improvement project. J Am Geriatr Soc. 2011;59(4):745–753. [DOI] [PubMed] [Google Scholar]
  • 25.Ouslander JG, Lamb G, Perloe M, et al. Potentially avoidable hospitalizations of nursing home residents: frequency, causes, and costs: [see editorial comments by Drs. Jean F. Wyman and William R. Hazzard, pp 760–761]. J Am Geriatr Soc. 2010;58(4):627–635. [DOI] [PubMed] [Google Scholar]
  • 26.Park S, Fishman P, White L, Larson EB, Coe NB. Disease-specific plan switching between traditional Medicare and Medicare Advantage. The Permanente Journal. Forthcoming. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Centers for Medicare and Medicaid Services. Data user’s guide: cost supplement file In. Baltimore, MD: Centers for Medicare and Medicaid Services; 2017. [Google Scholar]
  • 28.Centers for Medicare and Medicaid Services. MCBS Methodology report In. Baltimore, MD: Centers for Medicare and Medicaid Services; 2017. [Google Scholar]
  • 29.Medicare Payment Advisory Comission. Report to the Congress: Medicare and the Health Care Delivery System [Internet]. In. Washington, DC: MedPAC; 2012. [Google Scholar]
  • 30.Meyers DJ, Belanger E, Joyce N, McHugh J, Rahman M, Mor V. Analysis of drivers of disenrollment and plan switching among Medicare Advantage beneficiaries. JAMA Intern Med. 2019;179(4):524–532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Goldberg EM, Trivedi AN, Mor V, Jung H, Rahman M. Favorable risk selection in Medicare Advantage: trends in mortality and plan exits among nursing home beneficiaries. Med Care Res Rev. 2005;74(6):736–749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Park S, Basu A, Coe NB, Khalil F. Service-level selection: strategic risk selection in Medicare Advantage in response to risk adjustment. National Bureau of Economic Research. 2017;Working Paper No 24038. [Google Scholar]
  • 33.Staiger D, Stock JH. Instrumental variables regression with weak instruments. Econometrica. 1997;65(3):557–586. [Google Scholar]
  • 34.Basu A, Rathouz PJ. Estimating marginal and incremental effects on health outcomes using flexible link and variance function models. Biostatistics. 2005;6(1):93–109. [DOI] [PubMed] [Google Scholar]
  • 35.The Centers for Medicare and Medicaid Services. CMS finalizes policies to bring innovative telehealth benefit to Medicare Advantage. The Centers for Medicare and Medicaid Services. https://www.cms.gov/newsroom/press-releases/cms-finalizes-policies-bring-innovative-telehealth-benefit-medicare-advantage. Published 2019. Accessed October 6, 2019. [Google Scholar]
  • 36.Samus QM, Johnston D, Black BS, et al. A multidimensional home-based care coordination intervention for elders with memory disorders: the maximizing independence at home (MIND) pilot randomized trial. Am J Geriatr Psychiatry. 2014;22(4):398–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Lines L, Ahaghotu B, Tilly J, Wiener J. Care coordination for people with Alzheimer’s disease and related dementias: literature review In. Report prepared for the Office of the Assistant Secretary for Planning and Evaluation. Washington, DC: RTI International; 2013. [Google Scholar]
  • 38.Ehlenbach WJ, Hough CL, Crane PK, et al. Association between acute care and critical illness hospitalization and cognitive function in older adults. JAMA. 2010;303(8):763–770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Phelan EA, Borson S, Grothaus L, Balch S, Larson EB. Association of incident dementia with hospitalizations. JAMA. 2012;307(2):165–172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.McWilliams JM, Hsu J, Newhouse JP. New risk-adjustment system was associated with reduced favorable selection in medicare advantage. Health Aff (Millwood). 2012;31(12):2630–2640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Newhouse JP, Price M, Hsu J, McWilliams JM, McGuire TG. How much favorable selection is left in Medicare Advantage? Am J Health Econ. 2015;1(1):1–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jacobson GA, Neuman T, Damico A. Medicare Advantage plan switching: exception or norm? Washington, DC: Kaiser Family Foundation;2016. [Google Scholar]
  • 43.Li Q, Trivedi AN, Galarraga O, Chernew ME, Weiner DE, Mor V. Medicare Advantage ratings and voluntary disenrollment among patients with end-stage renal disease. Health Aff (Millwood). 2018;37(1):70–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Rahman M, Keohane L, Trivedi AN, Mor V. High-cost patients had substantial rates of leaving Medicare Advantage and joining traditional Medicare. Health Aff (Millwood). 2015;34(10):1675–1681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.DuGoff E, Chao S. What’s driving high disenrollment in Medicare Advantage? Inquiry. 2019;56:46958019841506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Duggan M, Gruber AJ, Vabson AB. The consequences of health care privatization: evidence from Medicare Advantage exits. Am Econ J: Appl Econ 2018;10(1):153–186. [Google Scholar]
  • 47.Kronick R, Welch WP. Measuring coding intensity in the Medicare Advantage program. Medicare Medicaid Res Rev. 2014;4(2). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Geruso M, Layton T. Upcoding: evidence from Medicare on squishky risk adjustment. J Political Econ. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials

RESOURCES