Evidence map›Paper›PMID 35211963›Full record

ArticleHealth services research2022

How price and quantity factors drive spending in nongroup and employer health plans.

Daria Pelech, Karen Stockley

Abstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Daria PelechCongressional Budget Office, Ford House Office Building, Washington, District of Columbia, USA.ORCID 0000-0001-9840-8255
Karen StockleyCongressional Budget Office, Ford House Office Building, Washington, District of Columbia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe how spending in private, nongroup health insurance plans compared to spending in employer plans and to attribute those spending differences to components related to provider prices and quantity of care. DATA SOURCES: The 2016 commercial claims and enrollment data of three large, national insurers from the Health Care Cost Institute. STUDY

designWe compared per member per month spending across three employer and three nongroup market segments, including on-exchange, off-exchange, and short-term plans, to average commercial spending. We constructed price indices in each market segment and then decomposed spending differences into those attributable to differences in prices, health risk, plan generosity, and other factors. DATA COLLECTION/EXTRACTION

methodsWe selected all medical claims for enrollees in commercial plans. We excluded enrollees with Medicare Advantage coverage or those for whom the majority of claims were covered by a secondary payer.

resultsProvider prices were 4.1% lower in on-exchange plans (p < 0.001) and 1.4% lower in off-exchange plans (p < 0.001), compared to average prices in the same geographic area. In contrast, prices in employer plans were within roughly a percentage point of those averages. Differences in average spending were much larger than price differences. Off-exchange enrollees spent 20% less than the sample average (p < 0.001), whereas on-exchange enrollees spent 12% more (p < 0.001). Those differences were driven largely by variation in health risk, with variation in prices, plan generosity, and other factors contributing smaller amounts.

conclusionsOur results indicate that provider prices in nongroup plans are much closer to the prices paid by employer plans than to the substantially lower prices paid by public payers. In addition, health risk was the largest contributor to differences in spending. Lowering provider prices and attracting healthier enrollees in nongroup plans may be crucial for lowering premiums.

Indexed as

Health ExpendituresMedicare Part CAgedHealth Care CostsHealth PlanningHumansUnited Stateshealth care priceshealth care spendingnongroup insurancerisk adjustment

Identifiers

PMID35211963
PMCPMC9108045

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.