Hospital networks: Perspective from three years of exchanges

M
McKinsey on HealthcareMcKinsey on Healthcare
Hospital networks: Perspective
from three years ofexchanges
McKinsey Center for U.S. Health System Reform
As of 03.05.2016
healthcare.mckinsey.com/reform
1
Proportion of narrowed networks has remained relatively constant, yet the overall
number of networks has declined
2
Median premiums for narrowed-network plans have declined even further compared
to broad-network plans
3
Consumers’ choice of networks has declined, with more consumers only having
access to narrowed networks in 2016
4
Margins are higher for exchange carriers with narrowed networks than those with
broad networks
5 Co-branded provider/carrier relationships have become increasingly common
Hospital networks:
Perspective from three years
of exchanges
We analyzed every hospital network across the country and uncovered the following insights:
2
SOURCE: McKinsey Center for U.S. Health System Reform
DEFINITIONS
Network types vary in their hospital participation:
Broad network: More than 70% of hospitals in a rating area participate in this network.
Narrow network: More than 30% and no more than 70% of hospitals participate.
Ultra-narrow network: No more than 30% of hospitals participate.
Tiered network: Any network with multiple levels of in-network cost-sharing for hospital services.
Narrowed network: Narrow, ultra-narrow, and tiered network, unless otherwise noted.
Note: Only hospital networks are considered in these analyses. Physician networks are not covered.
Plan types typically vary in their gatekeeping arrangements and out-of-network cost-sharing:
HMO (health maintenance organization): a plan that typically offers a primary care physician who acts as
gatekeeper to other services and referrals; it usually provides no coverage for out-of-network services, except in
emergency or urgent care situations.
EPO (exclusive provider organization): a plan similar to an HMO that usually provides no coverage for any
services delivered by out-of-network providers or facilities except in emergency or urgent care situations;
however, it generally does not require members to use a primary care physician for in-network referrals.
PPO (preferred provider organization): a plan that typically allows members to see physicians and get services
that are not part of a network, but out-of-network services often require a higher co-payment.
POS (point-of-service plan): a hybrid of an HMO and a PPO; offering an open-access model that may assign
members to a primary care physician and usually provides partial coverage for out-of-network services.
Other terms:
Competitively priced plan: Any plan within 10% of the lowest-price plan within the relevant market and on the
relevant metal tier.
Co-branded plan: Any insurance plan offered by a carrier that includes the brand name of or refers to the brand
of a healthcare provider.
3
SOURCE: McKinsey Center for U.S. Health System Reform
Distribution of individual
exchange hospital networks
by breadth
1 Network calculations are based on the number of networks offered in each rating area (the same network offered in four different rating areas would be considered four different networks,
potentially with different network breadths).
2 437 networks were lost in 2016 due to carrier exits; of these, 73% were broad.
The proportion of narrowed networks has remained
relatively flat.
Yet, total number of networks decreased over 10%
from 2015 to 2016, primarily driven by carrier exits1.
66% of terminated networks were broad, while 45%
of newly added networks were broad.2
Across the U.S.
% of hospital networks across all metal tiers
In the largest city of each U.S. state
% of hospital networks across all metal tiers
KEY:
Narrow
Ultra-narrow
Broad
Tiered
23 21 21
32 34 35
6 7 6
39 38 38
2014 2015 2016
2,418 2,864 2,530
20 17 18
22
22 25
6
6
5
52 55 52
2014 2015 2016
324 372 339100% = Number of
network-rating area
combinations1
4
SOURCE: McKinsey Center for U.S. Health System Reform
31 31 26
32 30
29
37 39 45
2014 2015 2016
19 16 17
24 28 24
7 4 1
50 52 58
2014 2015 2016
33 31 26
21 24 31
8 8 8
38 37 35
2014 2015 2016
57
36 29
36
52
56
7 12 15
2014 2015 2016
12 9 9
15 18 18
8 9 8
65 64 65
2014 2015 2016
While most carrier types offered fewer networks this year
than in 2015, many Medicaid carriers and providers
increased the number of networks they offered.
Medicaid and national carriers, in aggregate, have
increased their proportion of narrow networks (from 52%
to 56% and 24% to 31%, respectively).
Blues continue to offer the highest proportion of broad
networks — about two-thirds.
Network breadth by carrier type
% of networks across tiers by network breadth, for carriers participating across 2014–20161
BLUE CO-OP MEDICAID NATIONAL
251 277 266
PROVIDER
373 393 414
REGIONAL/LOCAL
287 282 264
KEY: Ultra-narrowNarrowTieredBroad
100% = Number of network-rating area combinations
121 130 144
1 Only carriers who participated in their state for all 3 years are shown, in order to exclude effects of carrier exits and entrances.
979 906 834
14 10 10
39
12 14
4
28 27
43 50 49
2014 2015 2016
70 90 86
5
SOURCE: McKinsey Center for U.S. Health System Reform
In 2016, premium differences between narrowed and
broad networks have widened across all metal tiers,
although factors beyond hospital network breadth
may have played a part.
On the silver tier, the most commonly purchased,
broad networks are now 22% higher priced than
narrowed ones, compared to 16% in 2014 and 2015.
Premium difference between broad
and narrowed networks
% difference between median premium for broad and narrowed
networks from the same carrier and plan type1,2,3
2014
BRONZE SILVER GOLD PLATINUM
+11%
+15%
+17%
+16%
+22% +23%
+17%
+23%
+33%
KEY: 2015 2016
1 Narrowed networks comprise ultra-narrow and narrow networks in this analysis, i.e., any with network breadth less than or equal to 70%. Tiered networks are excluded from the analysis.
2 Plan types include PPO, HMO, EPO, and POS.
3 Median prices are based on premiums for a 40–year-old single non-smoker. When a network has multiple plans, the lowest-price plan is used as price of the network. If there are multiple
networks available for selection as “narrowed,” the narrowest is selected. If there are multiple networks available for selection as broad, the broadest is selected.
+16%
+16%
+16%
6
SOURCE: McKinsey Center for U.S. Health System Reform
% median silver premium increases among re-filed 2014 and 2015 plans
1 Includes ultra-narrow, narrow and tiered networks.
5
8
10
2015 - 162014 - 15
12
Premium increases for broad and
narrowed networks
NARROWED1 BROAD
Narrowed network plans had lower
premium increases than broad network
plans for the past two years.
KEY:
7
SOURCE: McKinsey Center for U.S. Health System Reform
% of networks by price category1 in regions with
at least one narrowed network
16
11 11
22
15
23 23 21 21 22 23 22
15
19 16
28
26
23
17 23 24
12
23
19
42 41 44
33
37
42
40
40 38
41
37
42
27 29 29
17
22
12
20 16 17
25
17 17
>35% above lowest-price Lowest-price11-35% above lowest-price
Close to half of narrow and ultra-narrow networks are
priced competitively (within 10% of lowest price) in 2016,
compared with less than a third of broad networks.
Price competitiveness of narrowed networks is increasing,
while price competitiveness of broad is declining.
Price gap to lowest-price
plan by network breadth
1 Price category is the difference between a network’s lowest-priced plan and the lowest-priced plan within the same metal tier in the same rating area. For networks with multiple tiers, the
tier used for the network price is chosen in priority order: silver, bronze, gold, platinum, catastrophic. For networks with multiple plans at different prices within the same tier and rating
area, the lowest-price plan is used.
KEY2:
2014 2015 2016 2014 2015 2016 2014 2015 2016 2014 2015 2016
BROAD TIERED NARROW ULTRA-NARROW
0-10% above lowest-price
960 1257 1006 153 165 119 495 492 457 523 639 626
100% = Number of network-rating area combinations
8
SOURCE: McKinsey Center for U.S. Health System Reform
37
44
46
50
8
13
6
5
29
26
24
21
26
17
24
24 512>35%
0% -
10%
409
338
872
LOWEST-
PRICE
11% -
35%
34
43
51
62
6
8
6
6
33
28
25
17
27
21
18
15 585
412
1,021
535
30
38
48
60
7
6
5
36
35
26
21
27
21
16
379
426
3
21
490
913
Narrow Ultra-narrowBroad Tiered
2014 2015 2016
1 Price category is defined as the premium gap to the lowest-price product. This is the difference between a network’s lowest-priced plan and the lowest-priced plan within the same metal tier in
the same rating area. For networks with multiple tiers, the tier used for the network price is chosen in priority order: silver, bronze, gold, platinum, catastrophic. For networks with multiple plans at
different prices within the same tier and rating area, the lowest-price plan is used.
% of networks in each price category1 by breadth in rating areas with at least one narrowed network
Price category by network
breadth
Narrowed networks continue to be more common
among lower-price plans; the proportion of
narrowed networks among price leaders increased
from 66% to 70% in 2016.
100% = Number of network-rating area combinations
KEY:
9
SOURCE: McKinsey Center for U.S. Health System Reform
26 28
37
52
58 60 56 60
6818 15
19
12
10
15
12
14
11
48 52
35
30 26
20
25 16
15
8 5 9 6 6 5 7 10 6
Trends across network
breadth and plan type
% of silver network offerings by plan type1,2
Plans are becoming more managed (i.e., HMO’s,
EPO’s) across all network breadth types, which can
lead to less consumer choice at the point of care.
100% = Network-rating area combinations
1 Plan types reported were taken directly from exchange websites and Summary of Benefits and Coverage (SBC) documents.
2 When multiple silver plans are available on a single network we use the plan type associated with the lowest-price silver plan in that network.
4435071,148 4796231,548 4511,295 612
BROAD NARROW ULTRA-NARROW
KEY: HMOEPOPPOPOS
2014 2015 2016 2014 2015 2016 2014 2015 2016
10
SOURCE: McKinsey Center for U.S. Health System Reform
% of QHP-eligible consumers with access to various network types1
8 5
14
83 86
74
9 9 12
Broad only Narrowed onlyBoth
Consumer choice of network breadth at the point of purchase is
declining in some places.
There is a nearly three-fold increase in the percentage of
consumers who have access to only narrowed networks.
Access to both broad and narrowed networks declined for most
urban consumers (89% to 74% from 2015-16) but increased for
rural consumers (45% to 69%).
Consumer access
to network types
1 Whether broad, narrowed, or both breadth types were available was determined on a county level, and QHP-eligible consumers residing in county were counted toward given category.
KEY:
2014 2015 2016
100% = 39M QHP-eligible consumers
11
SOURCE: McKinsey Center for U.S. Health System Reform
Between 2015 and 2016, median network breadth stayed
relatively constant in urban counties, but increased in
rural counties.
Carriers in markets with higher carrier and provider
fragmentation are more likely to offer narrowed networks.
Geographic distribution of
network composition in 2016
1 Network breadth unavailable due to lack of hospitals in the rating area.
None
1% to 25%
25% to 50%
50% to 75%
75% to 99%
All
KEY:
N/A1
% of hospital networks classified as
broad by county
11
SOURCE: McKinsey Center for U.S. Health System Reform
Difference in distribution of
exchange networks between
2015 and 2016
The largest increases between 2015 and 2016 in the
proportion of broad networks were seen in Delaware
(50%) and Iowa (31%).
The largest decreases in the proportion of broad
networks were seen in Texas (-25%) and Utah (-25%).
1 Difference between percentage of broad networks in state in 2015 and 2016.
Networks counted at rating area level.
2 Network breadth unavailable due to lack of hospitals in the rating area.
Change in the % of hospital networks
classified as broad1
-15% or less
-15% to 0%
0% to 15%
15% to 30%
30% to 45%
45% to 100%
N/A2
KEY:
13
SOURCE: McKinsey Center for U.S. Health System Reform
2014 post-3R financial
performance and network
breadth
Select 2014 post-3R, post-tax individual market financial metrics across exchange carriers1
QHP-members weighted-average
1 Carrier performance was determined at the NAIC/HIOS state-level entity level. Analysis only includes entities HIOS ID’s associated with on-exchange plans in 2014, with >1K 2014 QHP members.
2 In this analysis, tiered networks are assigned to the ultra-narrow, narrow, or broad category based on the breadth of the first tier.
3 Network breadth for each entity is rolled-up to a state-level (from county) using QHP-eligible population and the network associated with the lowest-price silver plan. Each state-level entity is then
associated with their respective breadth category (broad, narrow, ultra-narrow). The financial metrics for all entities in each breadth category are weighted by their 2014 QHP lives, obtained from CMS MLR
reports.
4 Risk adjustment does not total to 0 as data reflects only those entities with on-exchange presence in 2014. Negative values indicate payment into the program. In aggregate, risk adjustment for all
exchange entities amounted to –1% of premiums.
5 Net risk corridor payments across these carriers amount to -$17M.
6 The ultra-narrow category includes 38 entities (17 with positive margins), 12% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -51% to 15%).
7 The narrow category includes 104 entities (39 with positive margins), 50% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -77% to 17%).
8 The broad category includes 92 entities (24 with positive margins), 38% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -146% to 26%).
-2
-7
-8
Narrow7
Ultra-narrow6
Broad8
Weighted-average
network breadth2,3
Post-3R post-tax
margin, %
Risk adjustment,
% of premiums4
18
17
13
Reinsurance,
% of premiums
Risk corridors,
% of premiums5
307
346
301
Claims PMPM,
$
In 2014, while overall, only 30% of carriers were profitable,
exchange carriers1 with narrowed networks 2,3 fared better: of
these, 39% were profitable vs. 26% with broad networks3.
Exchange carriers with narrowed networks had better margins
and lower claims, in aggregate, than those offering broad.
Carriers1 with narrowed networks also received less in
reinsurance than other carriers did, and may be less affected
by the program’s termination in 2017.
-6
-3
0
-0.6
0
0.5
14
SOURCE: McKinsey Center for U.S. Health System Reform
Offering and price
competitiveness of
co-branded and provider-
led plans
Provider-led carriersCo-branded relationships
1 Access to plan type defined as the co-branded or provider-led plan being available in the given county.
2 Counted at state level.
Number of co-branded relationships2
In 2016, the number of co-branded relationships increased 13%, while
the net number of provider-led carriers remained relatively flat.
Yet, in 2016 only 18% of consumers have access1 to a co-branded
plan, compared to 60% who have access to a provider-led plan.
Provider-led plans are the lowest-price option for more consumers
this year – and, when compared to co-branded plans.
2014 2015 2016 2014 2015 2016
% of QHP-eligible
with access1:
9% 18% 18% 55% 59% 60%
36
63
71
64
73 74
Number of carriers2
% of QHP-eligible in a
market where
respective carrier is
lowest-price:
28% 26% 24% 18% 23% 31%
15
SOURCE: McKinsey Center for U.S. Health System Reform
2015 CMS hospital
performance metrics and 2016
network breadth
Weighted-average scores for all exchange hospital networks by breadth across four domains of total
performance score1,2
Clinical process domain score Outcome domain score
Patient experience domain score Efficiency domain score
1 Across all hospital networks. N refers to the number of networks and varies across metrics because CMS does not publish all metrics across all hospitals.
2 Scores reflect the weighted average of all scores for given network breadths, weighted by the number of inpatient admissions for each in-network hospital in a given network.
KEY: Broad Tiered Narrow Ultra-Narrow
5.95.86.15.9 19.018.919.919.35.9
N=2275
19.2
N=2273
8.88.68.98.7 8.7
N=2281
4.9
3.53.3
4.6
4.3
N=2281
We continue to observe no signifcant difference in
CMS hospital performance scores for narrowed vs.
broad networks.
16
SOURCE: McKinsey Center for U.S. Health System Reform
METHODOLOGY AND SOURCES
The above findings are based on publicly available data.
Other relevant publications can be found at these sites:
http://healthcare.mckinsey.com/2015-hospital-networks
http://healthcare.mckinsey.com/2014-individual-market-post-3r-financial-performance
http://healthcare.mckinsey.com/2016-exchange-market-remains-flux-plan-type-trends
Pricing: Individual exchange premiums were obtained from state-based exchange websites and CMS / healthcare.gov public
use files. For analyses involving comparison of network premiums, unless otherwise noted, if a network is associated with
multiple plans we consider only the lowest-price plan in each metal tier when comparing that network with other networks.
Hospitals: All hospital data was obtained, as is, from carrier website provider search tools available to consumers. Hospital
network data over 2014–2016 was collected from carrier websites. Our analysis focuses only on acute care facilities that
are defined by the American Hospital Association (AHA) as general medical and surgical; surgical; cancer; heart; eye, ear,
nose, and throat; orthopedic; or children’s general hospitals. In order to effectively compare hospital inclusion in networks,
we also identified each hospital’s unique AHA ID through a combination of geospatial distance matching, approximate
string matching, and manual verification.
Networks: Network breadth is calculated for each CMS rating area, where available, by taking the number of hospitals that
are in-network for the lowest-AV cost sharing network tier (only applicable for Tiered networks) in a given rating area
divided by the total number of hospitals that are in the rating area. Network breadth definitions are outlined in the front of
the document. Adjustments were made to CMS rating area definitions for AK, ID, MA, and NE to convert their 3-digit zip
rating area definitions to a county-based definition. These rating area adjustments are made to be as close as possible to
(for MA), or identical to (for AK, ID and NE) the adjustments made in the healthcare.gov exchange database files. In
general, counties were assigned to the rating area in which a plurality of the county’s population reside.
Financials: All our financial findings are based on publicly available sources. Individual performance and financials were
obtained from MLR reports, SHCE filings, DMHC filings, and CMS 2014 3R reports. We analyzed all available data for
2014 carriers with more than 1,000 individual lives. Profitability is based on reported post-tax, post-3R (reinsurance, risk
corridor, and risk adjustment) operating margin. Risk adjustment and reinsurance were obtained directly from the CMS
September 17, 2015, report titled “Summary Report on Transitional Reinsurance Payments and Permanent Risk
Adjustment Transfers for the 2014 Benefit Year.” Risk corridor details were obtained from carrier reports. Carrier-level risk
corridor information in the quarterly reports was occasionally found to be outdated with regard to CMS’s most recent risk
corridor announcement. We independently calculated to verify and update the amounts at the carrier level.
Plan types: Plan types reported were taken directly from exchange websites and Summary of Benefits and Coverage
(SBC) documents. Plan type definitions are outlined in the front of the document.
17
SOURCE: McKinsey Center for U.S. Health System Reform
1 of 17

Recommended

2017 hospital networks: perspectives from four years of the individual exchanges by
2017 hospital networks: perspectives from four years of the individual exchanges2017 hospital networks: perspectives from four years of the individual exchanges
2017 hospital networks: perspectives from four years of the individual exchangesMcKinsey on Healthcare
4.1K views12 slides
Insight into the 2018 individual exchange market - PPT by
Insight into the 2018 individual exchange market - PPTInsight into the 2018 individual exchange market - PPT
Insight into the 2018 individual exchange market - PPTMcKinsey on Healthcare
252 views16 slides
McKinsey 2016 Individual Exchange Filings as of January 4 by
McKinsey 2016 Individual Exchange Filings as of January 4McKinsey 2016 Individual Exchange Filings as of January 4
McKinsey 2016 Individual Exchange Filings as of January 4McKinsey on Healthcare
5.3K views59 slides
Updata-Next-Generation-Connectivity-WP by
Updata-Next-Generation-Connectivity-WPUpdata-Next-Generation-Connectivity-WP
Updata-Next-Generation-Connectivity-WPMark Boorman
61 views16 slides
The Value of Narrow Networks in Impacting Plan Costs - As seen in the Oct. 20... by
The Value of Narrow Networks in Impacting Plan Costs - As seen in the Oct. 20...The Value of Narrow Networks in Impacting Plan Costs - As seen in the Oct. 20...
The Value of Narrow Networks in Impacting Plan Costs - As seen in the Oct. 20...Corte B. Iarossi
231 views3 slides
The Impact of Dependence and Relationship Commitment on Logistics Outsourcing... by
The Impact of Dependence and Relationship Commitment on Logistics Outsourcing...The Impact of Dependence and Relationship Commitment on Logistics Outsourcing...
The Impact of Dependence and Relationship Commitment on Logistics Outsourcing...Kamran Hasnain
26 views24 slides

More Related Content

Similar to Hospital networks: Perspective from three years of exchanges

CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE... by
CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...
CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...IJNSA Journal
10 views17 slides
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ... by
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...accenture
4.7K views11 slides
Transfer reliability and congestion control strategies in opportunistic netwo... by
Transfer reliability and congestion control strategies in opportunistic netwo...Transfer reliability and congestion control strategies in opportunistic netwo...
Transfer reliability and congestion control strategies in opportunistic netwo...IEEEFINALYEARPROJECTS
492 views8 slides
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control... by
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...IEEEGLOBALSOFTTECHNOLOGIES
819 views8 slides
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw... by
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...IEEEMEMTECHSTUDENTPROJECTS
236 views6 slides
2014 IEEE DOTNET NETWORKING PROJECT Pricing under constraints_in_access_netwo... by
2014 IEEE DOTNET NETWORKING PROJECT Pricing under constraints_in_access_netwo...2014 IEEE DOTNET NETWORKING PROJECT Pricing under constraints_in_access_netwo...
2014 IEEE DOTNET NETWORKING PROJECT Pricing under constraints_in_access_netwo...IEEEFINALSEMSTUDENTSPROJECTS
481 views6 slides

Similar to Hospital networks: Perspective from three years of exchanges(20)

CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE... by IJNSA Journal
CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...
CROSS-LAYER RESOURCE ALLOCATION SCHEME UNDER HETEROGENEOUS CONSTRAINTS FOR NE...
IJNSA Journal10 views
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ... by accenture
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...
Are Distribution Businesses at Risk of Losing Their Power? Findings from the ...
accenture4.7K views
Transfer reliability and congestion control strategies in opportunistic netwo... by IEEEFINALYEARPROJECTS
Transfer reliability and congestion control strategies in opportunistic netwo...Transfer reliability and congestion control strategies in opportunistic netwo...
Transfer reliability and congestion control strategies in opportunistic netwo...
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control... by IEEEGLOBALSOFTTECHNOLOGIES
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...
JAVA 2013 IEEE NETWORKING PROJECT Transfer reliability and congestion control...
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw... by IEEEMEMTECHSTUDENTPROJECTS
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
Heterogeneous networks increasing cellular capacity sta by Abdul-Fattah Mahran
Heterogeneous networks increasing cellular capacity   staHeterogeneous networks increasing cellular capacity   sta
Heterogeneous networks increasing cellular capacity sta
Abdul-Fattah Mahran1.2K views
D05422835 by IOSR-JEN
D05422835D05422835
D05422835
IOSR-JEN505 views
GAME THEORY BASED INTERFERENCE CONTROL AND POWER CONTROL FOR D2D COMMUNICATIO... by IJCNCJournal
GAME THEORY BASED INTERFERENCE CONTROL AND POWER CONTROL FOR D2D COMMUNICATIO...GAME THEORY BASED INTERFERENCE CONTROL AND POWER CONTROL FOR D2D COMMUNICATIO...
GAME THEORY BASED INTERFERENCE CONTROL AND POWER CONTROL FOR D2D COMMUNICATIO...
IJCNCJournal135 views
International Journal of Engineering Research and Development by IJERD Editor
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
IJERD Editor180 views
Experimental evaluation of scalability and reliability of a feedback based up... by ijma
Experimental evaluation of scalability and reliability of a feedback based up...Experimental evaluation of scalability and reliability of a feedback based up...
Experimental evaluation of scalability and reliability of a feedback based up...
ijma361 views
Insights into the 2018 individual exchange market by Kim Simoniello
Insights into the 2018 individual exchange marketInsights into the 2018 individual exchange market
Insights into the 2018 individual exchange market
Kim Simoniello49 views
OPERATORS CAN SAVE $14 MILLION YEARLY THROUGH DATA OFFLOADING by Green Packet
 OPERATORS CAN SAVE $14 MILLION YEARLY THROUGH DATA OFFLOADING OPERATORS CAN SAVE $14 MILLION YEARLY THROUGH DATA OFFLOADING
OPERATORS CAN SAVE $14 MILLION YEARLY THROUGH DATA OFFLOADING
Green Packet423 views
Life in the fast lane by Ericsson
Life in the fast laneLife in the fast lane
Life in the fast lane
Ericsson1.1K views
Broadband Policy Workshop Mankato by Ann Treacy
Broadband Policy Workshop MankatoBroadband Policy Workshop Mankato
Broadband Policy Workshop Mankato
Ann Treacy373 views
A vertical handover decision approaches in next generation wireless networks ... by ijmnct
A vertical handover decision approaches in next generation wireless networks ...A vertical handover decision approaches in next generation wireless networks ...
A vertical handover decision approaches in next generation wireless networks ...
ijmnct807 views

More from McKinsey on Healthcare

2022 COVID-19 Consumer Healthcare Insights-Feb 2022.pdf by
2022 COVID-19 Consumer Healthcare Insights-Feb 2022.pdf2022 COVID-19 Consumer Healthcare Insights-Feb 2022.pdf
2022 COVID-19 Consumer Healthcare Insights-Feb 2022.pdfMcKinsey on Healthcare
7.3K views13 slides
2022 COVID-19 hospital insights survey-Feb 2022 by
2022 COVID-19 hospital insights survey-Feb 20222022 COVID-19 hospital insights survey-Feb 2022
2022 COVID-19 hospital insights survey-Feb 2022McKinsey on Healthcare
10.9K views18 slides
2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update by
2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update
2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 updateMcKinsey on Healthcare
16.5K views11 slides
COVID-19 hospital insights survey by
COVID-19 hospital insights surveyCOVID-19 hospital insights survey
COVID-19 hospital insights surveyMcKinsey on Healthcare
21.2K views27 slides
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update by
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 updateMcKinsey on Healthcare
18.3K views13 slides
COVID-19 Consumer Healthcare Insights: What 2021 may hold by
COVID-19 Consumer Healthcare Insights: What 2021 may holdCOVID-19 Consumer Healthcare Insights: What 2021 may hold
COVID-19 Consumer Healthcare Insights: What 2021 may holdMcKinsey on Healthcare
174 views13 slides

More from McKinsey on Healthcare(17)

2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update by McKinsey on Healthcare
2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update
2021 Consumer Health Insights: COVID-19 Survey Highlights - Sept 2021 update
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update by McKinsey on Healthcare
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update
2021 Consumer Health Insights: COVID-19 Survey Highlights - June 2021 update
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 4 Data by McKinsey on Healthcare
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 4 DataCOVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 4 Data
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 4 Data
Saudi Arabian Consumer Health Insights - COVID-19 Survey Overview by McKinsey on Healthcare
Saudi Arabian Consumer Health Insights - COVID-19 Survey OverviewSaudi Arabian Consumer Health Insights - COVID-19 Survey Overview
Saudi Arabian Consumer Health Insights - COVID-19 Survey Overview
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 2 Data by McKinsey on Healthcare
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 2 DataCOVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 2 Data
COVID-19 Consumer Healthcare Insights: What 2021 may hold—Wave 2 Data
Why consumers are crucial for building a sustainable healthcare system by McKinsey on Healthcare
Why consumers are crucial for building a sustainable healthcare systemWhy consumers are crucial for building a sustainable healthcare system
Why consumers are crucial for building a sustainable healthcare system
2016 Individual Exchange Filings updated September 14, 2015 by McKinsey on Healthcare
2016 Individual Exchange Filings updated September 14, 20152016 Individual Exchange Filings updated September 14, 2015
2016 Individual Exchange Filings updated September 14, 2015
McKinsey 2015 Individual Rate Filings as of November 19 by McKinsey on Healthcare
McKinsey 2015 Individual Rate Filings as of November 19McKinsey 2015 Individual Rate Filings as of November 19
McKinsey 2015 Individual Rate Filings as of November 19

Recently uploaded

AI in Healthcare: Risks, Challenges, Benefits by
AI in Healthcare: Risks, Challenges, BenefitsAI in Healthcare: Risks, Challenges, Benefits
AI in Healthcare: Risks, Challenges, BenefitsIris Thiele Isip-Tan
18 views30 slides
Telecounselling-Manual.pdf by
Telecounselling-Manual.pdfTelecounselling-Manual.pdf
Telecounselling-Manual.pdfmanali9054
11 views35 slides
NURSING IS AN ART AND SCIENCE.pptx by
NURSING IS AN ART AND SCIENCE.pptxNURSING IS AN ART AND SCIENCE.pptx
NURSING IS AN ART AND SCIENCE.pptxKrishna Gandhi
8 views7 slides
Parkinson’s Disease | Athulya Assisted Living by
 Parkinson’s Disease | Athulya Assisted Living  Parkinson’s Disease | Athulya Assisted Living
Parkinson’s Disease | Athulya Assisted Living Athulya Assisted Living
8 views8 slides
New Microsoft Word Document (2).docx by
New Microsoft Word Document (2).docxNew Microsoft Word Document (2).docx
New Microsoft Word Document (2).docxElyaGhiasyan
9 views5 slides
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdf by
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdfCommunity-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdf
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdfmanali9054
24 views3 slides

Recently uploaded(20)

Telecounselling-Manual.pdf by manali9054
Telecounselling-Manual.pdfTelecounselling-Manual.pdf
Telecounselling-Manual.pdf
manali905411 views
NURSING IS AN ART AND SCIENCE.pptx by Krishna Gandhi
NURSING IS AN ART AND SCIENCE.pptxNURSING IS AN ART AND SCIENCE.pptx
NURSING IS AN ART AND SCIENCE.pptx
Krishna Gandhi8 views
New Microsoft Word Document (2).docx by ElyaGhiasyan
New Microsoft Word Document (2).docxNew Microsoft Word Document (2).docx
New Microsoft Word Document (2).docx
ElyaGhiasyan9 views
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdf by manali9054
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdfCommunity-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdf
Community-Engagement_SNEHA-Dissemination-15th-Nov.-2019.pdf
manali905424 views
Sodium Sulphate Manufacturing Plant Project Report 2024 by AlinaEllis1
Sodium Sulphate Manufacturing Plant Project Report 2024Sodium Sulphate Manufacturing Plant Project Report 2024
Sodium Sulphate Manufacturing Plant Project Report 2024
AlinaEllis17 views
LASIK REFRACTIVE EYE SURGERY IN MUMBAI by Charvi Jain
LASIK REFRACTIVE EYE SURGERY IN MUMBAILASIK REFRACTIVE EYE SURGERY IN MUMBAI
LASIK REFRACTIVE EYE SURGERY IN MUMBAI
Charvi Jain9 views
OBJECTIVES , CHARACTERISTICS , CONCEPT AND PHILOSOPHY OF NURSING.pptx by Krishna Gandhi
OBJECTIVES , CHARACTERISTICS ,  CONCEPT AND PHILOSOPHY OF NURSING.pptxOBJECTIVES , CHARACTERISTICS ,  CONCEPT AND PHILOSOPHY OF NURSING.pptx
OBJECTIVES , CHARACTERISTICS , CONCEPT AND PHILOSOPHY OF NURSING.pptx
Krishna Gandhi8 views
vital signs...ILAYARAJA SAMPATH by S ILAYA RAJA
vital signs...ILAYARAJA SAMPATHvital signs...ILAYARAJA SAMPATH
vital signs...ILAYARAJA SAMPATH
S ILAYA RAJA170 views
SMART RADIOLOGY : AI INNOVATIONS by vaarunimi
SMART RADIOLOGY  : AI INNOVATIONS SMART RADIOLOGY  : AI INNOVATIONS
SMART RADIOLOGY : AI INNOVATIONS
vaarunimi39 views
Protein Powder Manufacturing Plant Project Report 2023 by AlinaEllis1
Protein Powder Manufacturing Plant Project Report 2023Protein Powder Manufacturing Plant Project Report 2023
Protein Powder Manufacturing Plant Project Report 2023
AlinaEllis17 views
acute laryngotracheobronchitis by Saima Mustafa
acute laryngotracheobronchitisacute laryngotracheobronchitis
acute laryngotracheobronchitis
Saima Mustafa8 views
Whole Egg Powder Manufacturing Plant Project Report 2024 by AlinaEllis1
Whole Egg Powder Manufacturing Plant Project Report 2024Whole Egg Powder Manufacturing Plant Project Report 2024
Whole Egg Powder Manufacturing Plant Project Report 2024
AlinaEllis17 views
Bubble Tea Manufacturing Plant Project Report 2024 by AlinaEllis1
Bubble Tea Manufacturing Plant Project Report 2024Bubble Tea Manufacturing Plant Project Report 2024
Bubble Tea Manufacturing Plant Project Report 2024
AlinaEllis18 views
Communication and NPR Presentation.pptx by Winnie
Communication and NPR Presentation.pptxCommunication and NPR Presentation.pptx
Communication and NPR Presentation.pptx
Winnie 8 views
Neurological Assessment for nursing students ppt by blessyjannu21
Neurological Assessment for nursing students pptNeurological Assessment for nursing students ppt
Neurological Assessment for nursing students ppt
blessyjannu2111 views

Hospital networks: Perspective from three years of exchanges

  • 1. Hospital networks: Perspective from three years ofexchanges McKinsey Center for U.S. Health System Reform As of 03.05.2016 healthcare.mckinsey.com/reform
  • 2. 1 Proportion of narrowed networks has remained relatively constant, yet the overall number of networks has declined 2 Median premiums for narrowed-network plans have declined even further compared to broad-network plans 3 Consumers’ choice of networks has declined, with more consumers only having access to narrowed networks in 2016 4 Margins are higher for exchange carriers with narrowed networks than those with broad networks 5 Co-branded provider/carrier relationships have become increasingly common Hospital networks: Perspective from three years of exchanges We analyzed every hospital network across the country and uncovered the following insights: 2 SOURCE: McKinsey Center for U.S. Health System Reform
  • 3. DEFINITIONS Network types vary in their hospital participation: Broad network: More than 70% of hospitals in a rating area participate in this network. Narrow network: More than 30% and no more than 70% of hospitals participate. Ultra-narrow network: No more than 30% of hospitals participate. Tiered network: Any network with multiple levels of in-network cost-sharing for hospital services. Narrowed network: Narrow, ultra-narrow, and tiered network, unless otherwise noted. Note: Only hospital networks are considered in these analyses. Physician networks are not covered. Plan types typically vary in their gatekeeping arrangements and out-of-network cost-sharing: HMO (health maintenance organization): a plan that typically offers a primary care physician who acts as gatekeeper to other services and referrals; it usually provides no coverage for out-of-network services, except in emergency or urgent care situations. EPO (exclusive provider organization): a plan similar to an HMO that usually provides no coverage for any services delivered by out-of-network providers or facilities except in emergency or urgent care situations; however, it generally does not require members to use a primary care physician for in-network referrals. PPO (preferred provider organization): a plan that typically allows members to see physicians and get services that are not part of a network, but out-of-network services often require a higher co-payment. POS (point-of-service plan): a hybrid of an HMO and a PPO; offering an open-access model that may assign members to a primary care physician and usually provides partial coverage for out-of-network services. Other terms: Competitively priced plan: Any plan within 10% of the lowest-price plan within the relevant market and on the relevant metal tier. Co-branded plan: Any insurance plan offered by a carrier that includes the brand name of or refers to the brand of a healthcare provider. 3 SOURCE: McKinsey Center for U.S. Health System Reform
  • 4. Distribution of individual exchange hospital networks by breadth 1 Network calculations are based on the number of networks offered in each rating area (the same network offered in four different rating areas would be considered four different networks, potentially with different network breadths). 2 437 networks were lost in 2016 due to carrier exits; of these, 73% were broad. The proportion of narrowed networks has remained relatively flat. Yet, total number of networks decreased over 10% from 2015 to 2016, primarily driven by carrier exits1. 66% of terminated networks were broad, while 45% of newly added networks were broad.2 Across the U.S. % of hospital networks across all metal tiers In the largest city of each U.S. state % of hospital networks across all metal tiers KEY: Narrow Ultra-narrow Broad Tiered 23 21 21 32 34 35 6 7 6 39 38 38 2014 2015 2016 2,418 2,864 2,530 20 17 18 22 22 25 6 6 5 52 55 52 2014 2015 2016 324 372 339100% = Number of network-rating area combinations1 4 SOURCE: McKinsey Center for U.S. Health System Reform
  • 5. 31 31 26 32 30 29 37 39 45 2014 2015 2016 19 16 17 24 28 24 7 4 1 50 52 58 2014 2015 2016 33 31 26 21 24 31 8 8 8 38 37 35 2014 2015 2016 57 36 29 36 52 56 7 12 15 2014 2015 2016 12 9 9 15 18 18 8 9 8 65 64 65 2014 2015 2016 While most carrier types offered fewer networks this year than in 2015, many Medicaid carriers and providers increased the number of networks they offered. Medicaid and national carriers, in aggregate, have increased their proportion of narrow networks (from 52% to 56% and 24% to 31%, respectively). Blues continue to offer the highest proportion of broad networks — about two-thirds. Network breadth by carrier type % of networks across tiers by network breadth, for carriers participating across 2014–20161 BLUE CO-OP MEDICAID NATIONAL 251 277 266 PROVIDER 373 393 414 REGIONAL/LOCAL 287 282 264 KEY: Ultra-narrowNarrowTieredBroad 100% = Number of network-rating area combinations 121 130 144 1 Only carriers who participated in their state for all 3 years are shown, in order to exclude effects of carrier exits and entrances. 979 906 834 14 10 10 39 12 14 4 28 27 43 50 49 2014 2015 2016 70 90 86 5 SOURCE: McKinsey Center for U.S. Health System Reform
  • 6. In 2016, premium differences between narrowed and broad networks have widened across all metal tiers, although factors beyond hospital network breadth may have played a part. On the silver tier, the most commonly purchased, broad networks are now 22% higher priced than narrowed ones, compared to 16% in 2014 and 2015. Premium difference between broad and narrowed networks % difference between median premium for broad and narrowed networks from the same carrier and plan type1,2,3 2014 BRONZE SILVER GOLD PLATINUM +11% +15% +17% +16% +22% +23% +17% +23% +33% KEY: 2015 2016 1 Narrowed networks comprise ultra-narrow and narrow networks in this analysis, i.e., any with network breadth less than or equal to 70%. Tiered networks are excluded from the analysis. 2 Plan types include PPO, HMO, EPO, and POS. 3 Median prices are based on premiums for a 40–year-old single non-smoker. When a network has multiple plans, the lowest-price plan is used as price of the network. If there are multiple networks available for selection as “narrowed,” the narrowest is selected. If there are multiple networks available for selection as broad, the broadest is selected. +16% +16% +16% 6 SOURCE: McKinsey Center for U.S. Health System Reform
  • 7. % median silver premium increases among re-filed 2014 and 2015 plans 1 Includes ultra-narrow, narrow and tiered networks. 5 8 10 2015 - 162014 - 15 12 Premium increases for broad and narrowed networks NARROWED1 BROAD Narrowed network plans had lower premium increases than broad network plans for the past two years. KEY: 7 SOURCE: McKinsey Center for U.S. Health System Reform
  • 8. % of networks by price category1 in regions with at least one narrowed network 16 11 11 22 15 23 23 21 21 22 23 22 15 19 16 28 26 23 17 23 24 12 23 19 42 41 44 33 37 42 40 40 38 41 37 42 27 29 29 17 22 12 20 16 17 25 17 17 >35% above lowest-price Lowest-price11-35% above lowest-price Close to half of narrow and ultra-narrow networks are priced competitively (within 10% of lowest price) in 2016, compared with less than a third of broad networks. Price competitiveness of narrowed networks is increasing, while price competitiveness of broad is declining. Price gap to lowest-price plan by network breadth 1 Price category is the difference between a network’s lowest-priced plan and the lowest-priced plan within the same metal tier in the same rating area. For networks with multiple tiers, the tier used for the network price is chosen in priority order: silver, bronze, gold, platinum, catastrophic. For networks with multiple plans at different prices within the same tier and rating area, the lowest-price plan is used. KEY2: 2014 2015 2016 2014 2015 2016 2014 2015 2016 2014 2015 2016 BROAD TIERED NARROW ULTRA-NARROW 0-10% above lowest-price 960 1257 1006 153 165 119 495 492 457 523 639 626 100% = Number of network-rating area combinations 8 SOURCE: McKinsey Center for U.S. Health System Reform
  • 9. 37 44 46 50 8 13 6 5 29 26 24 21 26 17 24 24 512>35% 0% - 10% 409 338 872 LOWEST- PRICE 11% - 35% 34 43 51 62 6 8 6 6 33 28 25 17 27 21 18 15 585 412 1,021 535 30 38 48 60 7 6 5 36 35 26 21 27 21 16 379 426 3 21 490 913 Narrow Ultra-narrowBroad Tiered 2014 2015 2016 1 Price category is defined as the premium gap to the lowest-price product. This is the difference between a network’s lowest-priced plan and the lowest-priced plan within the same metal tier in the same rating area. For networks with multiple tiers, the tier used for the network price is chosen in priority order: silver, bronze, gold, platinum, catastrophic. For networks with multiple plans at different prices within the same tier and rating area, the lowest-price plan is used. % of networks in each price category1 by breadth in rating areas with at least one narrowed network Price category by network breadth Narrowed networks continue to be more common among lower-price plans; the proportion of narrowed networks among price leaders increased from 66% to 70% in 2016. 100% = Number of network-rating area combinations KEY: 9 SOURCE: McKinsey Center for U.S. Health System Reform
  • 10. 26 28 37 52 58 60 56 60 6818 15 19 12 10 15 12 14 11 48 52 35 30 26 20 25 16 15 8 5 9 6 6 5 7 10 6 Trends across network breadth and plan type % of silver network offerings by plan type1,2 Plans are becoming more managed (i.e., HMO’s, EPO’s) across all network breadth types, which can lead to less consumer choice at the point of care. 100% = Network-rating area combinations 1 Plan types reported were taken directly from exchange websites and Summary of Benefits and Coverage (SBC) documents. 2 When multiple silver plans are available on a single network we use the plan type associated with the lowest-price silver plan in that network. 4435071,148 4796231,548 4511,295 612 BROAD NARROW ULTRA-NARROW KEY: HMOEPOPPOPOS 2014 2015 2016 2014 2015 2016 2014 2015 2016 10 SOURCE: McKinsey Center for U.S. Health System Reform
  • 11. % of QHP-eligible consumers with access to various network types1 8 5 14 83 86 74 9 9 12 Broad only Narrowed onlyBoth Consumer choice of network breadth at the point of purchase is declining in some places. There is a nearly three-fold increase in the percentage of consumers who have access to only narrowed networks. Access to both broad and narrowed networks declined for most urban consumers (89% to 74% from 2015-16) but increased for rural consumers (45% to 69%). Consumer access to network types 1 Whether broad, narrowed, or both breadth types were available was determined on a county level, and QHP-eligible consumers residing in county were counted toward given category. KEY: 2014 2015 2016 100% = 39M QHP-eligible consumers 11 SOURCE: McKinsey Center for U.S. Health System Reform
  • 12. Between 2015 and 2016, median network breadth stayed relatively constant in urban counties, but increased in rural counties. Carriers in markets with higher carrier and provider fragmentation are more likely to offer narrowed networks. Geographic distribution of network composition in 2016 1 Network breadth unavailable due to lack of hospitals in the rating area. None 1% to 25% 25% to 50% 50% to 75% 75% to 99% All KEY: N/A1 % of hospital networks classified as broad by county 11 SOURCE: McKinsey Center for U.S. Health System Reform
  • 13. Difference in distribution of exchange networks between 2015 and 2016 The largest increases between 2015 and 2016 in the proportion of broad networks were seen in Delaware (50%) and Iowa (31%). The largest decreases in the proportion of broad networks were seen in Texas (-25%) and Utah (-25%). 1 Difference between percentage of broad networks in state in 2015 and 2016. Networks counted at rating area level. 2 Network breadth unavailable due to lack of hospitals in the rating area. Change in the % of hospital networks classified as broad1 -15% or less -15% to 0% 0% to 15% 15% to 30% 30% to 45% 45% to 100% N/A2 KEY: 13 SOURCE: McKinsey Center for U.S. Health System Reform
  • 14. 2014 post-3R financial performance and network breadth Select 2014 post-3R, post-tax individual market financial metrics across exchange carriers1 QHP-members weighted-average 1 Carrier performance was determined at the NAIC/HIOS state-level entity level. Analysis only includes entities HIOS ID’s associated with on-exchange plans in 2014, with >1K 2014 QHP members. 2 In this analysis, tiered networks are assigned to the ultra-narrow, narrow, or broad category based on the breadth of the first tier. 3 Network breadth for each entity is rolled-up to a state-level (from county) using QHP-eligible population and the network associated with the lowest-price silver plan. Each state-level entity is then associated with their respective breadth category (broad, narrow, ultra-narrow). The financial metrics for all entities in each breadth category are weighted by their 2014 QHP lives, obtained from CMS MLR reports. 4 Risk adjustment does not total to 0 as data reflects only those entities with on-exchange presence in 2014. Negative values indicate payment into the program. In aggregate, risk adjustment for all exchange entities amounted to –1% of premiums. 5 Net risk corridor payments across these carriers amount to -$17M. 6 The ultra-narrow category includes 38 entities (17 with positive margins), 12% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -51% to 15%). 7 The narrow category includes 104 entities (39 with positive margins), 50% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -77% to 17%). 8 The broad category includes 92 entities (24 with positive margins), 38% of the premiums among exchange entities (post-3R, post-tax margin as percentage of premium ranged from -146% to 26%). -2 -7 -8 Narrow7 Ultra-narrow6 Broad8 Weighted-average network breadth2,3 Post-3R post-tax margin, % Risk adjustment, % of premiums4 18 17 13 Reinsurance, % of premiums Risk corridors, % of premiums5 307 346 301 Claims PMPM, $ In 2014, while overall, only 30% of carriers were profitable, exchange carriers1 with narrowed networks 2,3 fared better: of these, 39% were profitable vs. 26% with broad networks3. Exchange carriers with narrowed networks had better margins and lower claims, in aggregate, than those offering broad. Carriers1 with narrowed networks also received less in reinsurance than other carriers did, and may be less affected by the program’s termination in 2017. -6 -3 0 -0.6 0 0.5 14 SOURCE: McKinsey Center for U.S. Health System Reform
  • 15. Offering and price competitiveness of co-branded and provider- led plans Provider-led carriersCo-branded relationships 1 Access to plan type defined as the co-branded or provider-led plan being available in the given county. 2 Counted at state level. Number of co-branded relationships2 In 2016, the number of co-branded relationships increased 13%, while the net number of provider-led carriers remained relatively flat. Yet, in 2016 only 18% of consumers have access1 to a co-branded plan, compared to 60% who have access to a provider-led plan. Provider-led plans are the lowest-price option for more consumers this year – and, when compared to co-branded plans. 2014 2015 2016 2014 2015 2016 % of QHP-eligible with access1: 9% 18% 18% 55% 59% 60% 36 63 71 64 73 74 Number of carriers2 % of QHP-eligible in a market where respective carrier is lowest-price: 28% 26% 24% 18% 23% 31% 15 SOURCE: McKinsey Center for U.S. Health System Reform
  • 16. 2015 CMS hospital performance metrics and 2016 network breadth Weighted-average scores for all exchange hospital networks by breadth across four domains of total performance score1,2 Clinical process domain score Outcome domain score Patient experience domain score Efficiency domain score 1 Across all hospital networks. N refers to the number of networks and varies across metrics because CMS does not publish all metrics across all hospitals. 2 Scores reflect the weighted average of all scores for given network breadths, weighted by the number of inpatient admissions for each in-network hospital in a given network. KEY: Broad Tiered Narrow Ultra-Narrow 5.95.86.15.9 19.018.919.919.35.9 N=2275 19.2 N=2273 8.88.68.98.7 8.7 N=2281 4.9 3.53.3 4.6 4.3 N=2281 We continue to observe no signifcant difference in CMS hospital performance scores for narrowed vs. broad networks. 16 SOURCE: McKinsey Center for U.S. Health System Reform
  • 17. METHODOLOGY AND SOURCES The above findings are based on publicly available data. Other relevant publications can be found at these sites: http://healthcare.mckinsey.com/2015-hospital-networks http://healthcare.mckinsey.com/2014-individual-market-post-3r-financial-performance http://healthcare.mckinsey.com/2016-exchange-market-remains-flux-plan-type-trends Pricing: Individual exchange premiums were obtained from state-based exchange websites and CMS / healthcare.gov public use files. For analyses involving comparison of network premiums, unless otherwise noted, if a network is associated with multiple plans we consider only the lowest-price plan in each metal tier when comparing that network with other networks. Hospitals: All hospital data was obtained, as is, from carrier website provider search tools available to consumers. Hospital network data over 2014–2016 was collected from carrier websites. Our analysis focuses only on acute care facilities that are defined by the American Hospital Association (AHA) as general medical and surgical; surgical; cancer; heart; eye, ear, nose, and throat; orthopedic; or children’s general hospitals. In order to effectively compare hospital inclusion in networks, we also identified each hospital’s unique AHA ID through a combination of geospatial distance matching, approximate string matching, and manual verification. Networks: Network breadth is calculated for each CMS rating area, where available, by taking the number of hospitals that are in-network for the lowest-AV cost sharing network tier (only applicable for Tiered networks) in a given rating area divided by the total number of hospitals that are in the rating area. Network breadth definitions are outlined in the front of the document. Adjustments were made to CMS rating area definitions for AK, ID, MA, and NE to convert their 3-digit zip rating area definitions to a county-based definition. These rating area adjustments are made to be as close as possible to (for MA), or identical to (for AK, ID and NE) the adjustments made in the healthcare.gov exchange database files. In general, counties were assigned to the rating area in which a plurality of the county’s population reside. Financials: All our financial findings are based on publicly available sources. Individual performance and financials were obtained from MLR reports, SHCE filings, DMHC filings, and CMS 2014 3R reports. We analyzed all available data for 2014 carriers with more than 1,000 individual lives. Profitability is based on reported post-tax, post-3R (reinsurance, risk corridor, and risk adjustment) operating margin. Risk adjustment and reinsurance were obtained directly from the CMS September 17, 2015, report titled “Summary Report on Transitional Reinsurance Payments and Permanent Risk Adjustment Transfers for the 2014 Benefit Year.” Risk corridor details were obtained from carrier reports. Carrier-level risk corridor information in the quarterly reports was occasionally found to be outdated with regard to CMS’s most recent risk corridor announcement. We independently calculated to verify and update the amounts at the carrier level. Plan types: Plan types reported were taken directly from exchange websites and Summary of Benefits and Coverage (SBC) documents. Plan type definitions are outlined in the front of the document. 17 SOURCE: McKinsey Center for U.S. Health System Reform