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Hwong AR, Murphy KA, Vittinghoff E, Alonso-Fraire P, Crystal S, Walkup J, Hermida R, Olfson M, Cournos F, Sawaya GF, Mangurian C. Cervical Cancer Screening Among Female Medicaid Beneficiaries With and Without Schizophrenia. Schizophr Bull 2024; 50:1499-1507. [PMID: 38842724 PMCID: PMC11548919 DOI: 10.1093/schbul/sbae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
BACKGROUND AND HYPOTHESIS In the United States, women with schizophrenia face challenges in receiving gynecologic care, but little is known about how cervical cancer screening rates vary across time or states in a publicly insured population. We hypothesized that women Medicaid beneficiaries with schizophrenia would be less likely to receive cervical cancer screening across the United States compared with a control population, and that women with schizophrenia and other markers of vulnerability would be least likely to receive screening. STUDY DESIGN This retrospective cohort study used US Medicaid administrative data from across 44 states between 2002 and 2012 and examined differences in cervical cancer screening test rates among 283 950 female Medicaid beneficiaries with schizophrenia and a frequency-matched control group without serious mental illness, matched on age and race/ethnicity. Among women with schizophrenia, multivariable logistic regression estimated the odds of receiving cervical cancer screening using individual sociodemographics, comorbid conditions, and health care service utilization. STUDY RESULTS Compared to the control group, women with schizophrenia were less likely to receive cervical cancer screening (OR = 0.76; 95% CI 0.75-0.77). Among women with schizophrenia, nonwhite populations, younger women, urban dwellers, those with substance use disorders, anxiety, and depression and those connected to primary care were more likely to complete screening. CONCLUSIONS Cervical cancer screening rates among US women Medicaid beneficiaries with schizophrenia were suboptimal. To address cervical cancer care disparities for this population, interventions are needed to prioritize women with schizophrenia who are less engaged with the health care system or who reside in rural areas.
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Affiliation(s)
- Alison R Hwong
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- San Francisco Veterans Affairs Medical Center, Mental Health Service, San Francisco, CA, USA
| | - Karly A Murphy
- Department of Medicine, UCSF Division of General Internal Medicine, San Francisco, CA, USA
| | - Eric Vittinghoff
- UCSF Department of Epidemiology and Biostatistics, San Francisco, CA, USA
| | - Paola Alonso-Fraire
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen Crystal
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA
| | - Jamie Walkup
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA
| | - Richard Hermida
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA
| | - Mark Olfson
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Francine Cournos
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Irving Medical Center, New York, NY, USA
| | - George F Sawaya
- UCSF Department of Epidemiology and Biostatistics, San Francisco, CA, USA
- UCSF Department of Obstetrics, Gynecology and Reproductive Sciences, San Francisco, CA, USA
- UCSF Philip R. Lee Institute for Health Policy Studies, San Francisco, CA, USA
| | - Christina Mangurian
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- UCSF Department of Epidemiology and Biostatistics, San Francisco, CA, USA
- UCSF Philip R. Lee Institute for Health Policy Studies, San Francisco, CA, USA
- UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
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Thomas MD, Vittinghoff E, Koester KA, Dahiya P, Riano NS, Cournos F, Dawson L, Olfson M, Pinals DA, Crystal S, Walkup J, Shade S, Mangurian C, Arnold EA. Examining the Impact of State-Level Factors on HIV Testing for Medicaid Enrollees With Schizophrenia. J Acquir Immune Defic Syndr 2023; 94:18-27. [PMID: 37229531 PMCID: PMC10524352 DOI: 10.1097/qai.0000000000003225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/22/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND People with schizophrenia experience unique barriers to routine HIV testing, despite increased risk of HIV compared with the general US population. Little is known about how health care delivery system factors affect testing rates or whether there are testing differences for people with schizophrenia. SETTING Nationally representative sample of Medicaid enrollees with and without schizophrenia. METHODS Using retrospective longitudinal data, we examined whether state-level factors were associated with differences in HIV testing among Medicaid enrollees with schizophrenia compared with frequency-matched controls during 2002-2012. Multivariable logistic regression estimated testing rate differences between and within cohorts. RESULTS Higher HIV testing rates for enrollees with schizophrenia were associated with higher state-level Medicaid spending per enrollee, efforts to reduce Medicaid fragmentation, and higher federal prevention funding. State-level AIDS epidemiology predicted more frequent HIV testing for enrollees with schizophrenia versus controls. Living in rural settings predicted lower HIV testing, especially for people with schizophrenia. CONCLUSION Overall, state-level predictors of HIV testing rates varied among Medicaid enrollees, although rates were generally higher for those with schizophrenia than controls. Increased HIV testing for people with schizophrenia was associated with coverage of HIV testing when medically necessary, higher Centers for Disease Control and Prevention prevention funding, and higher AIDS incidence, prevalence, and mortality when compared with controls. This analysis suggests that state policymaking has an important role to play in advancing that effort. Overcoming fragmented care systems, sustaining robust prevention funding, and consolidating funding streams in innovative and flexible ways to support more comprehensive systems of care delivery deserve attention.
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Affiliation(s)
- Marilyn D. Thomas
- Department of Epidemiology & Biostatistics, University of California San Francisco, School of Medicine 550 16th St 2 floor, San Francisco, CA 94158
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine 675 18th St, San Francisco, CA 94107
| | - Eric Vittinghoff
- Department of Epidemiology & Biostatistics, University of California San Francisco, School of Medicine 550 16th St 2 floor, San Francisco, CA 94158
| | - Kimberly A. Koester
- Department of Medicine, University of California San Francisco, School of Medicine 533 Parnassus Ave, San Francisco, CA 94143
| | - Priya Dahiya
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine 675 18th St, San Francisco, CA 94107
| | - Nicholas S. Riano
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine 675 18th St, San Francisco, CA 94107
- Department of Psychological Science, School of Social Ecology, University of California Irvine, 2220 Social and Behavioral Sciences Gateway, 214 Pereira Dr, Irvine, CA 92617
| | - Francine Cournos
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons 630 W 168th St, New York, NY 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health 722 W 168th St, New York, NY 10032
| | - Lindsey Dawson
- KFF (Kaiser Family Foundation) 185 Berry St #2000, San Francisco, CA 94107
| | - Mark Olfson
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons 630 W 168th St, New York, NY 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health 722 W 168th St, New York, NY 10032
- New York State Psychiatric Institute 1051 Riverside Dr, New York, NY 10032
| | - Debra A. Pinals
- Department of Psychiatry, University of Michigan Medical School 1500 E Medical Center Dr, Ann Arbor, MI 48109
| | - Steven Crystal
- Institute for Health, Health Care Policy, and Aging Research, Rutgers University 112 Paterson St, New Brunswick, NJ 08901
| | - James Walkup
- Institute for Health, Health Care Policy, and Aging Research, Rutgers University 112 Paterson St, New Brunswick, NJ 08901
- Graduate School of Applied and Professional Psychology, Rutgers University 152 Frelinghuysen Rd, Piscataway, NJ 08854
| | - Starley Shade
- Department of Epidemiology & Biostatistics, University of California San Francisco, School of Medicine 550 16th St 2 floor, San Francisco, CA 94158
| | - Christina Mangurian
- Department of Epidemiology & Biostatistics, University of California San Francisco, School of Medicine 550 16th St 2 floor, San Francisco, CA 94158
- Department of Psychiatry & Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, School of Medicine 675 18th St, San Francisco, CA 94107
- Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital 2789 25th St, San Francisco, CA 94110
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco 490 Illinois Street 7 Floor, San Francisco, CA 94158
| | - Emily A. Arnold
- Department of Medicine, University of California San Francisco, School of Medicine 533 Parnassus Ave, San Francisco, CA 94143
- Center for AIDS Prevention Studies, University of California San Francisco 550 16th St 3rd floor, San Francisco, CA 94158
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Hwong AR, Vittinghoff E, Thomas M, Hermida R, Walkup J, Crystal S, Olfson M, Mangurian C. Breast Cancer Screening Rates Among Medicaid Beneficiaries With Schizophrenia. Psychiatr Serv 2023; 74:497-504. [PMID: 36226372 PMCID: PMC10104476 DOI: 10.1176/appi.ps.20220163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Women with serious mental illness are more likely to be diagnosed as having late-stage breast cancer than women without serious mental illness, suggesting a disparity in screening mammography. This study aimed to compare screening mammography rates in a nationally representative sample of Medicaid beneficiaries with and without schizophrenia. METHODS Medicaid Analytic eXtract files, 2007-2012, were used to identify a cohort of women ages 40-64 with schizophrenia who were eligible for Medicaid but not Medicare (N=87,572 in 2007 and N=114,341 in 2012) and a cohort without schizophrenia, frequency-matched by age, race-ethnicity, and state (N=97,003 in 2007 and N=126,461 in 2012). Annual screening mammography rates were calculated and adjusted for demographic characteristics and comorbid conditions. Multivariable logistic regression was used to estimate the association between beneficiary characteristics and screening mammography rates. RESULTS In 2012, 27.2% of women with schizophrenia completed screening mammography, compared with 26.8% of the control cohort. In the schizophrenia cohort, American Indian/Alaskan Native women had significantly lower odds of receiving mammography (OR=0.82, p=0.02) than White women, whereas Hispanic/Latina women had higher odds (OR=1.16, p<0.001). Women with schizophrenia and a nonalcohol-related substance use disorder had lower odds of receiving mammography (OR=0.74, p<0.001) than women without a substance use disorder. Having at least one medical visit in the past year (vs. no visits) increased the odds of receiving screening mammography (OR=5.08, p<0.001). CONCLUSIONS Screening mammography rates were similar between Medicaid-insured women with and those without schizophrenia. Interventions to increase uptake may need to focus on improving socioeconomic conditions and primary care engagement for vulnerable populations, regardless of psychiatric condition.
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Affiliation(s)
- Alison R Hwong
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Eric Vittinghoff
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Marilyn Thomas
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Richard Hermida
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - James Walkup
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Stephen Crystal
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Mark Olfson
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
| | - Christina Mangurian
- Department of Psychiatry and Behavioral Sciences (Hwong, Thomas, Mangurian) and Department of Epidemiology and Biostatistics (Vittinghoff, Thomas), University of California, San Francisco (UCSF), San Francisco; UCSF National Clinician Scholars Program, San Francisco Veterans Affairs Medical Center, San Francisco (Hwong); Institute for Health, Rutgers University, New Brunswick, New Jersey (Hermida, Walkup, Crystal); Department of Psychiatry, Columbia University Medical Center, New York City (Olfson); UCSF Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, San Francisco (Mangurian)
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