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Sculco C, Bano B, Prina E, Tedeschi F, Bartucz MB, Barbui C, Purgato M, Albanese E. Access and use of general and mental health services before and during the COVID-19 pandemic: a systematic review and meta-analysis. BMJ Open 2025; 15:e091342. [PMID: 40074252 PMCID: PMC11904334 DOI: 10.1136/bmjopen-2024-091342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Accepted: 02/10/2025] [Indexed: 03/14/2025] Open
Abstract
OBJECTIVES To quantify access to health services during the COVID-19 pandemic and measure the change in use between the prepandemic and the pandemic periods in a population with assessment of psychological distress or diagnosis of mental disorders. DATA SOURCES We developed and piloted a search syntax and adapted it to enter the following databases from 1 January 2020 to 31 March 2023: PubMed/MEDLINE, PsycINFO, Web of Science, Epistemonikos and the WHO International Clinical Trials Registry Platform. We reran the searches from the end of the original search to 3 December 2024. DESIGN We systematically screened titles, abstracts and full texts of retrieved records. ELIGIBILITY CRITERIA We included observational studies on any populations and regions, covering health services such as doctor visits, hospital admissions, diagnostic examinations, pharmaceutical therapies and mental health (MH) services. Only studies using validated scales to assess psychological distress or mental disorders as defined in the Diagnostic and Statistical Manual of Mental Disorders were included. DATA EXTRACTION AND SYNTHESIS We extracted data using a purposefully designed form and evaluated the studies' quality with the Newcastle-Ottawa Scale. We measured the incidence rate (IR) of access to health services and the IR ratio (IRR) between the prepandemic and the pandemic periods. We calculated contacts days and catchment areas in the different periods. We used the random effects DerSimonian-Laird inverse-variance model and calculated heterogeneity with statistics I² and τ². We computed pooled IR and pooled IRR and tested the hypothesis of no variation (IRR=1). RESULTS We retrieved 10 014 records and examined the full text of 580 articles. We included 136 primary studies of which 44 were meta-analysed. The IR of access to services during the pandemic was 2.59 contact months per 10 000 inhabitants (IR=2.592; 95% CI: 1.301 to 5.164). We observed a reduction of 28.5% in the use of services with negligible differences by age group and type of services (IRR=0.715; 95% CI: 0.651 to 0.785). We observed significant differences in effect sizes across studies (τ2=5.44; p<0.001 and τ2=0.090; p<0.001). CONCLUSION By considering MH, our study provides consolidated evidence and quantifies the reduction in the use of health services during the COVID-19 pandemic. PROSPERO REGISTRATION NUMBER CRD42023403778.
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Affiliation(s)
- Camilla Sculco
- Institute of Public Health, Universita della Svizzera italiana, Lugano, Ticino, Switzerland
| | - Beatrice Bano
- Institute of Public Health, Universita della Svizzera italiana, Lugano, Ticino, Switzerland
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Eleonora Prina
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Federico Tedeschi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
- Cochrane Global Mental Health, University of Verona, Verona, Italy
| | - Monica Bianca Bartucz
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Corrado Barbui
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
- Cochrane Global Mental Health, University of Verona, Verona, Italy
| | - Marianna Purgato
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
- Cochrane Global Mental Health, University of Verona, Verona, Italy
| | - Emiliano Albanese
- Institute of Public Health, Universita della Svizzera italiana, Lugano, Ticino, Switzerland
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Masoumirad M, Huo S, Das A, Bruckner TA. Hate crimes and psychiatric emergency department visits among Asian Americans. Soc Sci Med 2025; 365:117624. [PMID: 39671767 DOI: 10.1016/j.socscimed.2024.117624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2024] [Revised: 11/21/2024] [Accepted: 12/08/2024] [Indexed: 12/15/2024]
Abstract
INTRODUCTION Hate crimes against Asian American surged in the United States between 2019 and 2020. Those facing COVID-19 discrimination showed heightened psychological distress. We examined whether increased hate crimes against Asian Americans corresponds positively with psychiatric Emergency Department (ED) visits among Asian Americans in California. METHODS We obtained our outcome variable, psychiatric ED visits, from the University of California Health Data Warehouse (UCHDW) for the period from May 2012 to August 2022. We specified our exposure as a binary indicator for months in which hate crimes against Asian Americans were positive outliers, and we obtained this data from the State of California Department of Justice Criminal Justice Statistics Center. We employed Box-Jenkins time-series methods to control for monthly temporal patterns in ED visits. RESULTS Increased hate crimes against Asian Americans corresponds with a rise in psychiatric ED visits among this population. After accounting for autocorrelation and controlling for psychiatric ED visits among non-Hispanic whites, our outlier-adjusted analysis shows an increase of 14.13 more psychiatric ED visits per month than expected during high hate crime months (standard error [SE] = 2.81, p < 0.001). CONCLUSIONS Increased racial discrimination and hate crimes at times of conflict may provoke severe mental health crises that require emergency care. Enhancing mental health support systems and providing culturally competent care tailored to the unique experiences of racial minorities remain crucial during such conflicts.
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Affiliation(s)
- Mandana Masoumirad
- University of California Irvine, Joe C. Wen School of Population & Public Health, Department of Health, Society, and Behavior, Irvine, CA, USA.
| | - Shutong Huo
- University of California Irvine, Joe C. Wen School of Population & Public Health, Program in Public Health, Irvine, CA, USA
| | - Abhery Das
- University of Illinois Chicago, Division of Health Policy & Administration, Chicago, IL, USA
| | - Tim A Bruckner
- University of California Irvine, Joe C. Wen School of Population & Public Health, Department of Health, Society, and Behavior, Irvine, CA, USA; University of California Irvine, Center for Population, Inequality, and Policy, Irvine, CA, USA
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Golden CV, Assaf RR, Aguilar R, Moreno T, Huszti H, Fortier M, Heyming T, Rao U, Ehwerhemuepha L, Weiss M. Age, Adverse Childhood Experiences, and Health Care Utilization. Pediatrics 2024; 154:e2023064838. [PMID: 39420864 DOI: 10.1542/peds.2023-064838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 10/19/2024] Open
Abstract
OBJECTIVES To assess whether the association of adverse childhood experiences (ACEs) with pediatric health care utilization differs by age. METHODS In this retrospective cohort study, we included patients completing primary care ACEs screening between January 2020 and September 2021. Pediatric ACEs and Related Life Events Screener Part 1 scores were categorized 0, 1 to 3, or ≥4 (none, low, and high, respectively). Two multivariable logistic regression models assessed emergency department (ED) and inpatient utilization across all ages 6 months after screening. RESULTS Among 37 315 patients, 15.7% visited the ED and 2.5% were hospitalized within 6 months of ACEs screening. Using no ACEs as the reference, infants and toddlers with any ACEs had lower odds of ED and inpatient utilization, whereas older children with any ACEs had higher odds of ED (age-low ACEs: 0.04, P value < .001; age-high ACEs: 0.08, P value < .001) and inpatient (age-low ACEs: 0.06, P value < .001; age-high ACEs: 0.15, P value < .001) utilization and increased each successive year of age. CONCLUSIONS The association of ACEs with health care utilization is dependent on age and is more complex than previously described. These trends may inform specific therapeutic strategies for pediatric patients by age.
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Affiliation(s)
| | - Raymen R Assaf
- Children's Hospital of Orange County, Orange, California
- School of Medicine, University of California, Irvine, California
| | | | - Tatiana Moreno
- Children's Hospital of Orange County, Orange, California
| | - Heather Huszti
- Children's Hospital of Orange County, Orange, California
| | - Michelle Fortier
- Children's Hospital of Orange County, Orange, California
- Sue and Bill Gross School of Nursing, University of California, Irvine, California
| | | | - Uma Rao
- Children's Hospital of Orange County, Orange, California
- School of Medicine, University of California, Irvine, California
| | | | - Michael Weiss
- Children's Hospital of Orange County, Orange, California
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Villarreal-Zegarra D, García-Serna J, Segovia-Bacilio P, Mayo-Puchoc N, Navarro-Flores A, Huarcaya-Victoria J. In-Person and Teleconsultation Services at a National Hospital in Peru: Time Series Analysis of General and Psychiatric Care Amid the COVID-19 Pandemic. JMIR Ment Health 2024; 11:e53980. [PMID: 38976320 PMCID: PMC11263901 DOI: 10.2196/53980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic led to a global reduction in health care accessibility for both infected and noninfected patients, posing a particular burden on those with chronic conditions, including mental health issues. Peru experienced significant devastation from the pandemic, resulting in a collapsed health care system and leading to the world's highest per capita mortality rate as a result of COVID-19. Understanding the trends in health care utilization, particularly in mental health care, is crucial for informing pandemic response efforts and guiding future recovery strategies. OBJECTIVE This study aims to analyze the trends of outpatient medical and psychiatric consultations during the COVID-19 pandemic in a national hospital in Peru. METHODS This observational study was conducted at a national hospital in Lima, Peru. We analyzed data on user care across all services, including psychiatric services, from May 2019 to December 2022. The data were calculated for users served per month, including the number of users seen monthly in mental health services. Sociodemographic variables such as sex (female or male), age (≥0 years), type of medical appointment (regular or additional), and modality of care (in-person or teleconsultations) were taken into account. An interrupted time series regression model was conducted to assess the number of outpatient medical and psychiatric consultations. Subgroup analyses were performed based on service modality, including overall consultations, telemonitoring/teleconsultations only, or face-to-face only, for all service users and for mental health service users. RESULTS A total of 1,515,439 participants were included, with females comprising 275,444/484,994 (56.80%) of the samples. Only 345,605/1,515,439 (22.81%) visits involved telemedicine. The total monthly outpatient visits were significantly reduced compared with the expected projection (P<.001) at the beginning of the pandemic, followed by a later monthly increment of 298.7 users. Face-to-face interventions experienced a significant reduction at the beginning of the pandemic (P<.001), gradually recovering in the following months. By contrast, telemedicine use initially increased but subsequently declined toward the end of the pandemic. A similar trend was observed in mental health units. CONCLUSIONS During the pandemic years, health care utilization in both general and psychiatric services experienced a significant decrease, particularly at the beginning of the pandemic (March 2020). However, no significant trends were observed in either case throughout the pandemic period. Telemedicine consultations witnessed a significant increase overall during this period, particularly among mental health users.
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Affiliation(s)
- David Villarreal-Zegarra
- Escuela de Medicina Humana, Universidad César Vallejo, Trujillo, Peru
- Instituto Peruano de Orientación Psicológica, Lima, Peru
| | | | | | | | - Alba Navarro-Flores
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Jeff Huarcaya-Victoria
- Escuela Profesional de Medicina Humana, Universidad Privada San Juan Bautista, Ica, Peru
- Unidad de Investigación de Psiquiatría, Departamento de Psiquiatría, Hospital Nacional Guillermo Almenara Irigoyen, Lima, Peru
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Burus T, Lei F, Huang B, Christian WJ, Hull PC, Ellis AR, Slavova S, Tucker TC, Lang Kuhs KA. Undiagnosed Cancer Cases in the US During the First 10 Months of the COVID-19 Pandemic. JAMA Oncol 2024; 10:500-507. [PMID: 38386344 PMCID: PMC10884945 DOI: 10.1001/jamaoncol.2023.6969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/26/2023] [Indexed: 02/23/2024]
Abstract
Importance The COVID-19 pandemic disrupted the normal course of cancer screening and detection in the US. A nationwide analysis of the extent of this disruption using cancer registry data has not been conducted. Objective To assess the observed and expected cancer rate trends for March through December 2020 using data from all 50 US states and the District of Columbia. Design, Settings, and Participants This was a population-based cross-sectional analysis of cancer incidence trends using data on cases of invasive cancer diagnosis reported to the US Cancer Statistics from January 1, 2018, through December 31, 2020. Data analyses were performed from July 6 to 28, 2023. Exposure(s) Age, sex, race, urbanicity, and state-level response to the COVID-19 pandemic at the time of cancer diagnosis. Main Outcomes and Measures Used time-series forecasting methods to calculate expected cancer incidence rates for March 1 through December 31, 2020, from prepandemic trends (January 2018-February 2020). Measured relative difference between observed and expected cancer incidence rates and numbers of potentially missed cancer cases. Results This study included 1 297 874 cancer cases reported in the US from March 1 through December 31, 2020, with an age-adjusted incidence rate of 326.5 cases per 100 000 population. Of the observed cases, 657 743 (50.7%) occurred in male patients, 757 106 (58.3%) in persons 65 years or older, and 1 066 566 (82.2%) in White individuals. Observed rates of all-sites cancer incidence in the US were 28.6% (95% prediction interval [PI], 25.4%-31.7%) lower than expected during the height of the COVID-19 pandemic response (March-May 2020); 6.3% (95% PI, 3.8%-8.8%) lower in June to December 2020; and overall, 13.0% (95% PI, 11.2%-14.9%) lower during the first 10 months of the pandemic. These differences indicate that there were potentially 134 395 (95% PI, 112 544-156 680) undiagnosed cancers during that time frame. Prostate cancer accounted for the largest number of potentially missed cases (22 950), followed by female breast (16 870) and lung (16 333) cancers. Screenable cancers saw a total rate reduction of 13.9% (95% PI, 12.2%-15.6%) compared with the expected rate. The rate of female breast cancer showed evidence of recovery to previous trends after the first 3 months of the pandemic, but levels remained low for colorectal, cervical, and lung cancers. From March to May 2020, states with more restrictive COVID-19 responses had significantly greater disruptions, yet by December 2020, these differences were nonsignificant for all sites except lung, kidney, and pancreatic cancer. Conclusions and Relevance This cross-sectional analysis of cancer incidence trends found a substantial disruption to cancer diagnoses in the US during the first 10 months of the COVID-19 pandemic. The overall and differential findings can be used to inform where the US health care system should be looking to make up ground in cancer screening and detection.
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Affiliation(s)
- Todd Burus
- Markey Cancer Center, University of Kentucky, Lexington
| | - Feitong Lei
- Markey Cancer Center, University of Kentucky, Lexington
- Division of Cancer Biostatistics, College of Medicine, University of Kentucky, Lexington
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington
| | - Bin Huang
- Markey Cancer Center, University of Kentucky, Lexington
- Division of Cancer Biostatistics, College of Medicine, University of Kentucky, Lexington
- Kentucky Cancer Registry, Markey Cancer Center, University of Kentucky, Lexington
| | - W. Jay Christian
- Markey Cancer Center, University of Kentucky, Lexington
- Department of Epidemiology & Environmental Health, College of Public Health, University of Kentucky, Lexington
| | - Pamela C. Hull
- Markey Cancer Center, University of Kentucky, Lexington
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington
| | - Amanda R. Ellis
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington
| | - Svetla Slavova
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington
- Kentucky Injury Prevention & Research Center, University of Kentucky, Lexington
| | - Thomas C. Tucker
- Markey Cancer Center, University of Kentucky, Lexington
- Department of Epidemiology & Environmental Health, College of Public Health, University of Kentucky, Lexington
| | - Krystle A. Lang Kuhs
- Markey Cancer Center, University of Kentucky, Lexington
- Department of Epidemiology & Environmental Health, College of Public Health, University of Kentucky, Lexington
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Singh P, Nawaz S, Seiber EE, Bryant I, Moon K, Wastler H, Breitborde NJ. ED Visits for Schizophrenia Spectrum Disorders During the COVID-19 Pandemic at 5 Campus Health Systems. JAMA Netw Open 2023; 6:e2349305. [PMID: 38150255 PMCID: PMC10753394 DOI: 10.1001/jamanetworkopen.2023.49305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/10/2023] [Indexed: 12/28/2023] Open
Abstract
Importance Although substantial research has reported grave population-level psychiatric sequelae of the COVID-19 pandemic, evidence pertaining to temporal changes in schizophrenia spectrum disorders in the US following the pandemic remains limited. Objective To examine the monthly patterns of emergency department (ED) visits for schizophrenia spectrum disorders after the onset of the COVID-19 pandemic. Design, Setting, and Participants This observational cohort study used time-series analyses to examine whether monthly counts of ED visits for schizophrenia spectrum disorders across 5 University of California (UC) campus health systems increased beyond expected levels during the COVID-19 pandemic. Data included ED visits reported by the 5 UC campuses from 2016 to 2021. Participants included persons who accessed UC Health System EDs had a diagnosis of a psychiatric condition. Data analysis was performed from March to June 2023. Exposures The exposures were binary indicators of initial (March to May 2020) and extended (March to December 2020) phases of the COVID-19 pandemic. Main Outcomes and Measures The primary outcome was monthly counts of ED visits for schizophrenia spectrum disorders. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes, categorized within Clinical Classification Software groups, were used to identify ED visits for schizophrenia spectrum disorders and all other psychiatric ED visits, from the University of California Health Data Warehouse database, from January 2016 to December 2021. Time-series analyses controlled for autocorrelation, seasonality, and concurrent trends in ED visits for all other psychiatric conditions. Results The study data comprised a total of 377 872 psychiatric ED visits, with 37 815 visits for schizophrenia spectrum disorders. The prepandemic monthly mean (SD) number of ED visits for schizophrenia spectrum disorders was 519.9 (38.1), which increased to 558.4 (47.6) following the onset of the COVID-19 pandemic. Results from time series analyses, controlling for monthly counts of ED visits for all other psychiatric conditions, indicated 70.5 additional ED visits (95% CI, 11.7-129.3 additional visits; P = .02) for schizophrenia spectrum disorders at 1 month and 74.9 additional visits (95% CI, 24.0-126.0 visits; P = .005) at 3 months following the initial phase of the COVID-19 pandemic in California. Conclusions and Relevance This study found a 15% increase in ED visits for schizophrenia spectrum disorders within 3 months after the initial phase of the pandemic in California across 5 UC campus health systems, underscoring the importance of social policies related to future emergency preparedness and the need to strengthen mental health care systems.
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Affiliation(s)
- Parvati Singh
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus
| | - Saira Nawaz
- Center for Health Outcomes and Policy Evaluation Studies, College of Public Health, The Ohio State University, Columbus
| | - Eric E Seiber
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus
| | - Ian Bryant
- Department of Economics, University of Cincinnati, Cincinnati, Ohio
| | - Kyle Moon
- Center for Health Outcomes and Policy Evaluation Studies, College of Public Health, The Ohio State University, Columbus
| | - Heather Wastler
- Early Psychosis Intervention Center, Department of Psychiatry and Behavioral Health, College of Medicine, The Ohio State University, Columbus
| | - Nicholas J Breitborde
- Early Psychosis Intervention Center, Department of Psychiatry and Behavioral Health, College of Medicine, The Ohio State University, Columbus
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