Dataset Information

Crowd-in: the effect of private health insurance markets on the demand for Medicaid.

ABSTRACT: OBJECTIVE:To investigate the effects of local labor market conditions and the availability of employer-sponsored health insurance on exits from the Medicaid program. DATA SOURCE:Data for this project come from a unique administrative database containing a 2 percent sample of all cases on California's Medicaid program in 1987 and a 2 percent sample of all new cases starting each year between 1987 and 1995. STUDY DESIGN:The results are estimated using a discrete duration model where the monthly exit probability is a function of demographic characteristics, local labor market variables, the probability of having employer-sponsored insurance, and fixed year and county effects. PRINCIPAL FINDINGS:Improvements in labor market opportunities (i.e., employment growth, wage growth, and increases in the availability of employer-sponsored health insurance) promote exits off the Medicaid program. A 2.5 percentage point increase in the availability of employer-sponsored insurance leads to a 6 percent increase in the probability that a completed spell lasts no more than 2 years. It would take a 2 percentage point decrease in unemployment rates or a 10 percent increase in average quarterly earnings to yield an equivalent increase in the likelihood of exiting Medicaid within 2 years. These effects are robust to the inclusion of county-level fixed effects and time effects. CONCLUSIONS:Medicaid expenditures and caseloads are sensitive to local economic fluctuations and secular trends in the availability of health insurance. Continued decreases in employer-based health insurance coverage will greatly increase the demand for public insurance coverage and the financial pressures on state governments.

SUBMITTER: Perreira KM

PROVIDER: S-EPMC1955304 | biostudies-other | 2006 Oct

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Crowd-in: the effect of private health insurance markets on the demand for Medicaid.

Perreira Krista M KM

Health services research 20061001 5

<h4>Objective</h4>To investigate the effects of local labor market conditions and the availability of employer-sponsored health insurance on exits from the Medicaid program.<h4>Data source</h4>Data for this project come from a unique administrative database containing a 2 percent sample of all cases on California's Medicaid program in 1987 and a 2 percent sample of all new cases starting each year between 1987 and 1995.<h4>Study design</h4>The results are estimated using a discrete duration mode ...[more]

PMID: 16987301

Similar Datasets

Project description:ImportanceAlthough low-income populations have more eye problems, whether they face greater difficulty obtaining eye care appointments is unknown.ObjectiveTo compare rates of obtaining eye care appointments and appointment wait times for those with Medicaid vs those with private insurance.Design, setting, and participantsIn this prospective, cohort study conducted from January 1, 2017, to July 1, 2017, researchers made telephone calls to a randomly selected sample of vision care professionals in Michigan and Maryland stratified by neighborhood (urban vs rural) and professional type (ophthalmologist vs optometrist) to request the first available appointment. Appointments were sought for an adult needing a diabetic eye examination and a child requesting a routine eye examination for a failed vision screening. Researchers called each practice twice, once requesting an appointment for a patient with Medicaid and the other time for a patient with Blue Cross Blue Shield (BCBS) insurance, and asked whether the insurance was accepted and, if so, when the earliest available appointment could be scheduled.Main outcomes and measuresRate of successfully made appointments and mean wait time for the first available appointment.ResultsA total of 603 telephone calls were made to 330 eye care professionals (414 calls [68.7%] to male and 189 calls [31.3%] to female eye care professionals). The sample consisted of ophthalmologists (303 [50.2%]) and optometrists (300 [49.8%]) located in Maryland (322 [53.4%]) and Michigan (281 [46.6%]). The rates of successfully obtaining appointments among callers were 61.5% (95% CI, 56.0%-67.0%) for adults with Medicaid and 79.3% (95% CI, 74.7%-83.9%) for adults with BCBS (P < .001) and 45.4% (95% CI, 39.8%-51.0%) for children with Medicaid and 62.5% (95% CI, 57.1%-68.0%) for children with BCBS (P < .001). Mean wait time did not vary significantly between the BCBS and Medicaid groups for both adults and children. Adults with Medicaid had significantly decreased odds of receiving an appointment compared with those with BCBS (odds ratio [OR], 0.41; 95% CI, 0.28-0.59; P < .001) but had increased odds of obtaining an appointment if they were located in Michigan vs Maryland (OR, 2.40; 95% CI, 1.49-3.87; P < .001) or with an optometrist vs an ophthalmologist (OR, 1.91; 95% CI, 1.31-2.79; P < .001). Children with Medicaid had significantly decreased odds of receiving an appointment compared with those with BCBS (OR, 0.41; 95% CI, 0.28-0.60; P < .001) but had increased odds of obtaining an appointment if they were located in Michigan vs Maryland (OR, 1.68; 95% CI, 1.04-2.73; P = .03) or with an optometrist vs an ophthalmologist (OR, 8.00; 95% CI, 5.37-11.90; P < .001).Conclusions and relevanceCallers were less successful in trying to obtain eye care appointments with Medicaid than with BCBS, suggesting a disparity in access to eye care based on insurance status, although confounding factors may have contributed to this finding. Improving access to eye care professionals for those with Medicaid may improve health outcomes and decrease health care spending in the long term.

Project description:Importance:Although opioids can be effective medications in certain situations, they are associated with harms, including opioid use disorder and overdose. Studies have revealed unexplained prescribing variation and prescribing mismatched with patient-reported pain for many indications. Objective:To summarize opioid prescribing frequency, dosages, and durations, stratified across numerous painful medical indications. Design, Setting, and Participants:Retrospective cross-sectional analysis of 2017 US administrative claims data among outpatient clinical settings, including postsurgical discharge. Participants had any of 41 different indications associated with nonsurgical acute or chronic pain or postsurgical pain or pain associated with sickle cell disease or active cancer and were enrolled in either private insurance (including Medicare Advantage) in the OptumLabs Data Warehouse data set (n = 18 016 259) or Medicaid in the IBM MarketScan Multi-State Medicaid Database (n = 11 453 392). OptumLabs data were analyzed from October 2018 to March 2019; MarketScan data were analyzed from January to April 2019. Exposures:Nonsurgical acute or chronic pain or postsurgical pain; pain related to sickle cell disease or active cancer. Main Outcomes and Measures:Indication-specific opioid prescribing rates; days' supply per prescription; daily opioid dosage in morphine milligram equivalents; and for chronic pain indications, the number of opioid prescriptions. Results:During the study period, of 18 016 259 eligible patients with private insurance, the mean (95% CI) age was 42.7 (42.7-42.7) years, and 50.3% were female; of 11 453 392 eligible Medicaid enrollees, the mean (95% CI) age was 20.4 (20.4-20.4) years, and 56.1% were female. A pain-related indication under study occurred in at least 1 visit among 6 380 694 patients with private insurance (35.4%) and 3 169 831 Medicaid enrollees (27.7%); 2 270 596 (35.6% of 6 380 694) privately insured patients and 1 126 508 (35.5% of 3 169 831) Medicaid enrollees had 1 or more opioid prescriptions. Nonsurgical acute pain opioid prescribing rates were lowest for acute migraines (privately insured, 4.6% of visits; Medicaid, 6.6%) and highest for rib fractures (privately insured, 44.8% of visits; Medicaid, 56.3%), with variable days' supply but similar daily dosage across most indications. Opioid prescribing for a given chronic pain indication varied depending on a patient's opioid use history. Days' supply for postoperative prescriptions was longest for combined spinal decompression and fusion (privately insured, 9.5 days [95% CI, 9.4-9.7 days]) or spinal fusion (Medicaid, 9.1 days [95% CI, 8.9-9.2 days]) and was shortest for vaginal delivery (privately insured, 4.1 days [95% CI, 4.1-4.1 days] vs Medicaid, 4.2 days [95% CI, 4.2-4.2 days]). Conclusions and Relevance:Indication-specific opioid prescribing rates were not always aligned with existing guidelines. Potential inconsistencies between prescribing practice and clinical recommendations, such as for acute and chronic back pain, highlight opportunities to enhance pain management and patient safety.

Project description:BackgroundArthroscopic rotator cuff repair is an effective treatment for patients with symptomatic rotator cuff tears. Ensuring timely and appropriate postoperative access to physical therapy (PT) is paramount to the achievement of optimal patient outcomes. Extended immobility due to a lack of formal rehabilitation can lead to decreased range of motion, continued pain, and potential reoperation for stiffness. The purpose of this study is to evaluate national disparities in access to PT services after rotator cuff repair between patients with private vs. Medicaid insurance. This study will further evaluate differences in access to PT services between states that have previously undergone Medicaid expansion as compared with those states which have not.MethodsThe American Physical Therapy Association Website was used to identify 10 physical therapy practices from the capital city in every state. Each physical therapy practice was contacted using a mock-patient script for a patient with Medicaid insurance or private (Blue Cross Blue Shield) insurance. To maintain anonymity, calls were made by two separate investigators. Univariate analysis included independent sample t-test for differences between the study groups for continuous variables. Chi square or Fisher's exact test assessed differences in discrete variables between the study groups.ResultsContact was made with 465 of 510 (91.2%) physical therapy practices. Overall, 52.7% accepted Medicaid insurance, while 94.9% accepted private insurance (P < .001). Medicaid insurance was more likely to be accepted in a Medicaid expansion state than a nonexpansion state (56.1% vs. 46.3%, P = .05). Private insurance was also more likely to be accepted in a Medicaid expansion state than a nonexpansion state (96.7% vs. 91.3%, P = .01). The time to first appointment varied more in Medicaid expansion states (private range: 0-43 days, Medicaid range: 0-72 days) than in nonexpansion states (private range: 0-11 days, medicaid range: 0-10 days).ConclusionSignificantly fewer PT practices accepted Medicaid insurance nationally compared with private insurance, which suggests that patients with Medicaid insurance have greater difficulty accessing PT after rotator cuff repair in the United States compared with patients with private insurance. While Medicaid insurance was more likely to be accepted in a Medicaid expansion state, this finding was only borderline significant, which indicates that patients in Medicaid expansion states are still having difficulty accessing PT, despite efforts to expand government insurance coverage to improve access to care. Orthopedic surgeons should counsel their patients with Medicaid insurance to seek out PT as early as possible in the postoperative period to avoid delays in rehabilitation.

Project description:Importance:Several recent policy proposals have sought to expand the role of Medicaid in providing health insurance for low-income Americans, but there is little recent information on how physician participation in Medicaid compares with alternative forms of coverage for low-income Americans. Objective:To compare the number of office-based physicians included in Medicaid managed care and health insurance exchange plans that operate in the same geographic markets. Design, Setting, and Participants:This cross-sectional study used administrative data from physician network directories and survey data from office-based physicians for Kansas, Nebraska, New York, Tennessee, and Washington. The number of participants totaled 67?057 office-based physicians in the 5 sample states. Data were collected and analyzed from May 2018 to June 2019. Exposures:Physician participation in a Medicaid managed care or health insurance exchange plan network. Main Outcomes and Measures:The percentage of office-based physicians in a county who indicated during a phone survey that they participated in Medicaid; the percentage of office-based physicians in a county who participated in each Medicaid managed care and health insurance exchange plan network; and the percentage of office-based physicians in a county who participated in at least 1 Medicaid managed care plan or, separately, at least 1 health insurance exchange plan. Results:Of the 67?057 office-based physicians in our sample, 49?983 reported in a telephone survey that they accepted Medicaid. This survey-based measure undercounted the percentage of physicians participating in Medicaid by 5.2% (95% CI, 2.3%-8.1%; P?<?.001) relative to a measure based on physician network directories. Medicaid managed care physician networks covered a median (interquartile range) of 63.4% (48.0%-81.3%) of office-based physicians compared with health insurance exchange physician networks, which covered 51.0% (31.0%-70.5%). In adjusted analyses, Medicaid managed care plans covered 6.2% (95% CI, 3.2%-9.3%, P?<?.001) more office-based physicians than health insurance exchange plans operating in the same counties. In the states where the same insurers participated in both markets (New York, Tennessee, Washington), the Medicaid managed care physician networks were 6.5% (95% CI, 3.2%-9.8%, P?<?.001) larger than the health insurance exchange networks offered by the same insurer. Conclusions and Relevance:In this cross-sectional study of physician network data, Medicaid managed care physician networks included more office-based physicians than the physician networks of health insurance exchange plans operating in the same geographic markets. This suggests that Medicaid remains a viable option for expanding coverage in the United States.

Dataset Information

Crowd-in: the effect of private health insurance markets on the demand for Medicaid.

Publications

Crowd-in: the effect of private health insurance markets on the demand for Medicaid.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets