Unveiling the Adoption and Barriers of Telemedicine in US Hospitals: A Comprehensive Analysis (2017-2022).

BACKGROUND: Telemedicine has emerged as a vital healthcare delivery model, especially pronounced during the COVID-19 pandemic. Our study uniquely focuses on an institutional lens, examining US hospitals to offer targeted policy implications. OBJECTIVE: To investigate the trend in telemedicine adoption across US hospitals from 2017 to 2022 and analyze the institutional challenges they encounter, particularly in the realm of electronic health information exchange. DESIGN: Cross-sectional study leveraging data from the American Hospital Association's (AHA) annual surveys for the years 2017 to 2021 and the 2022 AHA IT Supplement Survey. SETTING: The study includes a national sample of US hospitals, covering a diverse range of hospital types including large, nonprofit, teaching, and system-affiliated institutions. PARTICIPANTS: US hospitals form the study's participants, with a substantial response rate to the surveys. MAIN MEASURES: Key metrics include the number of telemedicine patient encounters, percentage of hospitals offering telemedicine services, and institutional challenges to electronic health information exchange. KEY RESULTS: Telemedicine encounters saw a 75% increase, growing from approximately 111.4 million in 2020 to nearly 194.4 million in 2021. The percentage of hospitals offering at least one form of telemedicine service went from 46% in 2017 to 72% in 2021. Larger, nonprofit, and teaching hospitals were more prone to telehealth adoption, without notable urban-rural disparities. While over 90% of hospitals allow patients to view and download medical records, only 41% permit online data submission. Importantly, 25% of hospitals identified Certified Health IT Developers such as EHR vendor as frequent culprits in information blocking, with cost being the primary obstacle. CONCLUSIONS: The findings underscore the rapid yet uneven adoption of telemedicine services in U.S. hospitals. The results point to the need for comprehensive policy interventions to address the challenges identified and realize telemedicine's full potential in healthcare delivery and resilience.

Association of Race and Ethnicity With Postoperative Gabapentinoid and Opioid Prescribing Trends for Older Adults.

BACKGROUND: Disparities in opioid prescribing by race/ethnicity have been described in many healthcare settings, with White patients being more likely to receive an opioid prescription than other races studied. As surgeons increase prescribing of nonopioid medications in response to the opioid epidemic, it is unknown whether postoperative prescribing disparities also exist for these medications, specifically gabapentinoids. METHODS: We conducted a retrospective cohort study using a 20% Medicare sample for 2013-2018. We included patients ≥66 years without prior gabapentinoid use who underwent one of 14 common surgical procedures. The primary outcome was the proportion of patients prescribed gabapentinoids at discharge among racial and ethnic groups. Secondary outcomes were days' supply of gabapentinoids, opioid prescribing at discharge, and oral morphine equivalent (OME) of opioid prescriptions. Trends over time were constructed by analyzing proportion of postoperative prescribing of gabapentinoids and opioids for each year. For trends by year by racial/ethnic groups, we ran a multivariable logistic regression with an interaction term of procedure year and racial/ethnic group. RESULTS: Of the 494,922 patients in the cohort (54% female, 86% White, 5% Black, 5% Hispanic, mean age 73.7 years), 3.7% received a new gabapentinoid prescription. Gabapentinoid prescribing increased over time for all groups and did not differ significantly among groups (P = 0.13). Opioid prescribing also increased, with higher proportion of prescribing to White patients than to Black and Hispanic patients in every year except 2014. CONCLUSIONS: We found no significant prescribing variation of gabapentinoids in the postoperative period between racial/ethnic groups. Importantly, we found that despite national attention to disparities in opioid prescribing, variation continues to persist in postoperative opioid prescribing, with a higher proportion of White patients being prescribed opioids, a difference that persisted over time.

Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force.

This ISPOR Good Practices report provides a framework for assessing the suitability of electronic health records data for use in health technology assessments (HTAs). Although electronic health record (EHR) data can fill evidence gaps and improve decisions, several important limitations can affect its validity and relevance. The ISPOR framework includes 2 components: data delineation and data fitness for purpose. Data delineation provides a complete understanding of the data and an assessment of its trustworthiness by describing (1) data characteristics; (2) data provenance; and (3) data governance. Fitness for purpose comprises (1) data reliability items, ie, how accurate and complete the estimates are for answering the question at hand and (2) data relevance items, which assess how well the data are suited to answer the particular question from a decision-making perspective. The report includes a checklist specific to EHR data reporting: the ISPOR SUITABILITY Checklist. It also provides recommendations for HTA agencies and policy makers to improve the use of EHR-derived data over time. The report concludes with a discussion of limitations and future directions in the field, including the potential impact from the substantial and rapid advances in the diffusion and capabilities of large language models and generative artificial intelligence. The report's immediate audiences are HTA evidence developers and users. We anticipate that it will also be useful to other stakeholders, particularly regulators and manufacturers, in the future.

Associations Between Surrogate Markers and Clinical Outcomes for Nononcologic Chronic Disease Treatments.

Importance: Surrogate markers are increasingly used as primary end points in clinical trials supporting drug approvals. Objective: To systematically summarize the evidence from meta-analyses, systematic reviews and meta-analyses, and pooled analyses (hereafter, meta-analyses) of clinical trials examining the strength of association between treatment effects measured using surrogate markers and clinical outcomes in nononcologic chronic diseases. Data sources: The Food and Drug Administration (FDA) Adult Surrogate Endpoint Table and MEDLINE from inception to March 19, 2023. Study Selection: Three reviewers selected meta-analyses of clinical trials; meta-analyses of observational studies were excluded. Data Extraction and Synthesis: Two reviewers extracted correlation coefficients, coefficients of determination, slopes, effect estimates, or results from meta-regression analyses between surrogate markers and clinical outcomes. Main Outcomes and Measures: Correlation coefficient or coefficient of determination, when reported, was classified as high strength (r ≥ 0.85 or R2 ≥ 0.72); primary findings were otherwise summarized. Results: Thirty-seven surrogate markers listed in FDA's table and used as primary end points in clinical trials across 32 unique nononcologic chronic diseases were included. For 22 (59%) surrogate markers (21 chronic diseases), no eligible meta-analysis was identified. For 15 (41%) surrogate markers (14 chronic diseases), at least 1 meta-analysis was identified, 54 in total (median per surrogate marker, 2.5; IQR, 1.3-6.0); among these, median number of trials and patients meta-analyzed was 18.5 (IQR, 12.0-43.0) and 90 056 (IQR, 20 109-170 014), respectively. The 54 meta-analyses reported 109 unique surrogate marker-clinical outcome pairs: 59 (54%) reported at least 1 r or R2, 10 (17%) of which reported at least 1 classified as high strength, whereas 50 (46%) reported slopes, effect estimates, or results of meta-regression analyses only, 26 (52%) of which reported at least 1 statistically significant result. Conclusions and Relevance: Most surrogate markers used as primary end points in clinical trials to support FDA approval of drugs treating nononcologic chronic diseases lacked high-strength evidence of associations with clinical outcomes from published meta-analyses.

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance.

Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

Implications for Public Health Regulation if Chevron Deference Is Overturned.

This Viewpoint describes implications for medicine and public health if the US Supreme Court decides to overturn or narrow Chevron deference.

Industry Payments to US Physicians by Specialty and Product Type.

This study examines the distribution of payments within and across specialties and the medical products associated with the largest total payments.

Intravascular Microaxial Left Ventricular Assist Device Manufacturer Payments to Cardiologists and Use of Devices.

This study examines whether payments from a left ventricular assist device manufacturer to cardiologists performing percutaneous coronary intervention were associated with any use of the devices.

Medicare Part B and Part D drug eligibility for center for Medicare and Medicaid Services price negotiation under the Inflation Reduction Act: estimates using 2016-2019 data.

Background: To reduce Medicare prescription drug expenditures, the 2022 Inflation Reduction Act (IRA) allows the Centers for Medicare & Medicaid Services (CMS) to directly negotiate with drug manufacturers on Medicare prices of high-expenditure drugs (≥$200m annual spending) which meet certain eligibility criteria. However, it is unclear what proportion of high-expenditure drugs covered by Medicare, and attributable annual drug spending, would typically be eligible for CMS negotiations in a given year. Methods: We used historical Medicare drug spending data to determine how many high-expenditure drugs, and attributable drug spending, would have been eligible for CMS negotiations had the IRA been in effect from 2016-2019, while also determining which of the IRA's eligibility criteria is most restrictive. Results: From 2016-2019, approximately one third (33.3% for Part B, 32.4% for Part D) of high-expenditure Medicare drugs would have been eligible for negotiation, with ineligible drugs accounting for 75.2% and 63.8% of spending on high-expenditure drugs in Medicare Part B and D, respectively. Most ineligible high-expenditure drugs were ineligible because they launched too recently. From 2016-2019, between 59 and 74 high-expenditure drugs were eligible per year, indicating that in some years there may not be enough eligible drugs for CMS to negotiate on the maximum number of drugs allowable by law. Conclusions: The IRA's current eligibility criteria may restrict CMS from being able to negotiate drug prices on approximately two-thirds of the high-expenditure drugs covered by Medicare and may not allow CMS to negotiate on the maximum number of drugs allowable by law. Congress could consider relaxing eligibility requirements for price negotiation, such as those pertaining to launch date recency, to ensure there are a sufficient number of high-expenditure drugs eligible for negotiation or make certain ineligible drugs contributing to significant annual Medicare spending eligible for negotiation on a case-by-case basis.

A Public Option for Clinical Trials? Lessons from Convalescent Plasma.

The case of clinical trials for convalescent plasma during COVID-19 illustrates important lessons for realizing public sector approaches to biomedical research and development. These lessons, centering on mission, transparency, and spillover effects, can be translated to wider efforts to develop a "public option" for clinical trials.

Use of Muscle Relaxants After Surgery in Traditional Medicare Part D Enrollees.

BACKGROUND: Surgeons have come under increased scrutiny for postoperative pain management, particularly for opioid prescribing. To decrease opioid use but still provide pain control, nonopioid medications such as muscle relaxants are being used, which can be harmful in older adults. However, the prevalence of muscle relaxant prescribing, trends in use over time, and risk of prolonged use are unknown. STUDY DESIGN: Using a 20% representative Medicare sample, we conducted a retrospective analysis of muscle relaxant prescribing to patients ≥ 65 years of age. We merged patient data from Medicare Carrier, MedPAR, and Outpatient Files with Medicare Part D for the years 2013-2018. A total of 14 surgical procedures were included to represent a wide range of anatomic regions and specialties. RESULTS: The study cohort included 543,929 patients. Of the cohort, 8111 (1.5%) received a new muscle relaxant prescription at discharge. Spine procedures accounted for 12% of all procedures but 56% of postoperative prescribing. Overall, the rate of prescribing increased over the time period (1.4-2.0%, p < 0.001), with increases in prescribing primarily in the spine (7-9.6%, p < 0.0001) and orthopedic procedure groups (0.9-1.4%, p < 0.0001). Of patients discharged with a new muscle relaxant prescription, 10.7% had prolonged use. CONCLUSIONS: The use of muscle relaxants in the postoperative period for older adults is low, but increasing over time, especially in ortho and spine procedures. While pain control after surgery is crucial, surgeons should carefully consider the risks of muscle relaxant use, especially for older adults who are at higher risk for medication-related problems.

Characterization of accelerated approval status, trial endpoints and results, and recommendations in guidelines for oncology drug treatments from the National Comprehensive Cancer Network: cross sectional study.

Objectives: To evaluate National Comprehensive Cancer Network (NCCN) guideline recommendations for oncology drug treatments that have been granted accelerated approval, and to determine whether recommendations are updated based on the results of confirmatory trials after approval and based on status updates from the US Food and Drug Administration (FDA). Design: Cross sectional study. Setting: US FDA and NCCN guidelines. Population: Oncology therapeutic indications (ie, specific oncological conditions for which the drug is recommended) that have been granted accelerated approval in 2009-18. Main outcome measures: NCCN guideline reporting of accelerated approval status and postapproval confirmatory trials, and guideline recommendation alignment with postapproval confirmatory trial results and FDA status updates. Results: 39 oncology drug treatments were granted accelerated approval for 62 oncological indications. Although all indications were recommended in NCCN guidelines, accelerated approval status was reported for 10 (16%) indications. At least one postapproval confirmatory trial was identified for all 62 indications, 33 (53%) of which confirmed benefit; among these indications, NCCN guidelines maintained the previous recommendation or strengthened the category of evidence for 27 (82%). Postapproval confirmatory trials failed to confirm benefit for 12 (19%) indications; among these indications, NCCN guidelines removed the previous recommendation or weakened the category of evidence for five (42%). NCCN guidelines reflected the FDA's decision to convert 30 (83%) of 36 indications from accelerated to traditional approval, of which 20 (67%) had guideline updates before the FDA's conversion decision. NCCN guidelines reflected the FDA's decision to withdraw seven (58%) of 12 indications from the market, of which four (57%) had guidelines updates before the FDA's withdrawal decision. Conclusions: NCCN guidelines always recommend drug treatments that have been granted accelerated approval for oncological indications, but do not provide information about their accelerated approval status, including surrogate endpoint use and status of postapproval confirmatory trials. NCCN guidelines consistently provide information on postapproval trial results confirming clinical benefit, but not on postapproval trials failing to confirm clinical benefit. NCCN guidelines more frequently update recommendation for indications converted to traditional approval than for those approvals that were withdrawn.

Comparison of industry payments to psychiatrists and psychiatric advanced practice clinicians in the USA, 2021: a cross-sectional study.

OBJECTIVES: To compare industry payment patterns among US psychiatrists and psychiatric advanced practice clinicians (APCs) and determine how scope of practice laws has influenced these patterns. DESIGN: Cross-sectional study. SETTING: This study used the publicly available US Centers for Medicare and Medicaid Services Sunshine Act Open Payment database and the National Plan and Provider Enumeration System (NPPES) database for the year 2021. PARTICIPANTS: All psychiatrists and psychiatric APCs (subdivided into nurse practitioners (NPs) and clinical nurse specialists (CNSs)) included in either database. PRIMARY AND SECONDARY OUTCOME MEASURES: Number and percentage of clinicians receiving industry payments and value of payments received. Total payments and number of transactions by type of payment, payment source and clinician type were also evaluated. RESULTS: A total of 85 053 psychiatric clinicians (61 011 psychiatrists (71.7%), 21 895 NPs (25.7%), 2147 CNSs (2.5%)) were reviewed; 16 240 (26.6%) psychiatrists received non-research payment from industry, compared with 10 802 (49.3%) NPs and 231 (10.7%) CNSs (p<0.001) for pairwise comparisons). Psychiatric NPs were significantly more likely to receive industry payments compared with psychiatrists (incidence rate ratio (IRR), 1.85 (95% CI 1.81 to 1.88); p<0.001)). Compared with psychiatrists, NPs were more likely to receive payments of > United States Dollars (US) $) 100 (33.9% vs 14.6%; IRR, 2.14 (2.08 to 2.20); p<0.001) and > US$ 1000 (5.3% vs 4.1%; IRR, 1.29 (1.20 to 1.38); p<0.001) but less likely to receive > US$ 10 000 (0.4% vs 1.0%; IRR, 0.39 (0.31 to 0.49); p<0.001). NPs in states with 'reduced' or 'restricted' scope of practice received more frequent payments (reduced: IRR, 1.22 (1.18 to 1.26); restricted: IRR, 1.26 (1.22 to 1.30), both p<0.001). CONCLUSIONS: Psychiatric NPs were nearly two times as likely to receive industry payments as psychiatrists, while psychiatric CNSs were less than half as likely to receive payment. Stricter scope of practice laws increases the likelihood of psychiatric NPs receiving payment, the opposite of what was found in a recent specialty agnostic study.

Published research on the human health implications of climate change between 2012 and 2021: cross sectional study.

Objective: To better understand the state of research on the effects of climate change on human health, including exposures, health conditions, populations, areas of the world studied, funding sources, and publication characteristics, with a focus on topics that are relevant for populations at risk. Design: Cross sectional study. Data sources: The National Institute of Environmental Health Sciences climate change and human health literature portal, a curated bibliographical database of global peer reviewed research and grey literature was searched. The database combines searches of multiple search engines including PubMed, Web of Science, and Google Scholar, and includes added-value expert tagging of climate change exposures and health impacts. Eligibility criteria: Inclusion criteria were peer reviewed, original research articles that investigated the health effects of climate change and were published in English from 2012 to 2021. After identification, a 10% random sample was selected to manually perform a detailed characterisation of research topics and publication information. Results: 10 325 original research articles were published between 2012 and 2021, and the number of articles increased by 23% annually. In a random sample of 1014 articles, several gaps were found in research topics that are particularly relevant to populations at risk, such as those in the global south (134 countries established through the United Nations Office for South-South Cooperation) (n=444; 43.8%), adults aged 65 years or older (n=195; 19.2%), and on topics related to human conflict and migration (n=25; 2.5%) and food and water quality and security (n=148; 14.6%). Additionally, fewer first authors were from the global south (n=349; 34.4%), which may partly explain why research focusing on these countries is disproportionally less. Conclusions: Although the body of research on the health effects of climate change has grown substantially over the past decade, including those with a focus on the global south, a disproportionate focus continues to be on countries in the global north and less at risk populations. Governments are the largest source of funding for such research, and governments, particularly in the global north, need to re-orient their climate and health research funding to support researchers in the global south and to be more inclusive of issues that are relevant to the global south.

Reporting of Demographics & Subgroup Analyses in Premarketing Studies of FDA Approved High-Risk Cardiovascular Devices, 2014-2022.

Background: Representation of diverse study populations in pivotal clinical trials for medical devices and subgroup analyses for demographic groups to explore differences in safety and effectiveness are essential to understanding the benefits and risks in diverse populations. The US Food and Drug Administration (FDA) has taken many steps to improve transparency and subgroup analyses over the past decade, but there has not been a recent evaluation of demographic reporting and subgroup analyses. Methods: We reviewed all FDA Premarket Approvals for high-risk cardiovascular devices from 2014 to 2022, focusing on pivotal studies supporting device approval. We abstracted detailed demographic data about the age, sex, race, ethnicity, and socioeconomic position of study participants. We also assessed the presence and results of subgroup analyses to understand the safety and effectiveness of devices across trial populations. Results: Analysis of 92 pivotal studies revealed that age and sex were reported in 96.7% of the studies, while race and ethnicity were reported in 71.7% and 58.7%, respectively. However, only 7.9% of studies explicitly detailed the participation of older adults (≥65 years) and no studies reported patients' socioeconomic position. Subgroup analyses by sex were conducted in 70.7% of studies, with 12.3% reporting significant differences. In contrast, analyses by race and ethnicity were performed in only 12.0% of the studies, with 9.1% reporting significant differences. Conclusion: Approximately one-third of pivotal studies for high-risk cardiovascular devices approved by the FDA from 2014 to 2022 did not report the race of study participants, nearly 40% did not report ethnicity, and more than 90% did not report the participation of older adults (≥65 years). Subgroup analyses were infrequently conducted by age or race and ethnicity. There is a need for better trial demographic reporting and conduct of subgroup analyses in premarketing studies to ensure the safety and effectiveness of medical devices for all patients.

Harnessing policy to promote inclusive medical product evidence: development of a reference standard and structured audit of clinical trial diversity policies.

Objective: To develop a reference standard based on US Food and Drug Administration and stakeholder guidance for pharmaceutical companies' policies on diversity in clinical trials and to assess these policies. Design: Development of a reference standard and structured audit for clinical trial diversity policies. Setting: 50 pharmaceutical companies selected from the top 500 by their market capitalizations in 2021 (the 25 largest companies and 25 non-large companies, randomly selected from the remaining 475 companies). Population: Data from pharmaceutical company websites and annual reports. Policy guidance from the Pharmaceutical Research and Manufacturers of America, International Federation of Pharmaceutical Manufacturers and Associations, Biotechnology Industry Organization, International Committee of Medical Journal Editors, the US Food and Drug Administration, European Medicines Agency, and World Health Organization, up to 15 May 2023. Main outcome measures: Multicomponent measure based on distinct themes derived from FDA and stakeholder guidance. Results: Reviewing FDA and stakeholder guidance identified 14 distinct themes recommended for improving diversity in clinical trials, which were built into a reference standard: (1) enrollment targets that reflect the prevalence of targeted conditions in populations, (2) broad eligibility criteria for trials, (3) diversity in the workforce, (4) identification and remedy of barriers to trial recruitment and retention, (5) incorporation of patient input into trial design, (6) health literacy, (7) multidimensional approaches to diversity, (8) sites with diverse providers and patient populations, (9) data collection after product approval, (10) diverse enrollment in every country where trials are conducted, (11) diverse enrollment should be a focus for all phases of clinical trials, not just later stage or pivotal trials, (12) varied trial design, (13) expanded access, and (14) public reporting of the personal characteristics of participants in trials. Applying this reference standard, 48% (24/50) of companies had no public policy on diversity in clinical trials; among those with policies, content varied widely. Large companies were more likely to have a public policy than non-large companies (21/25, 84% v 5/25, 20%, P<0.001). Large companies most frequently committed to using epidemiological based trial enrollment targets representing the prevalence of indicated conditions in various populations (n=15, 71%), dealing with barriers to trial recruitment (n=15, 71%), and improving patient awareness of trial opportunities (n=14, 67%). The location of the company was not associated with having a public diversity policy (P=0.17). The average company policy had five of the 14 commitments (36%, range 0-8) recommended in FDA and stakeholder guidance. Conclusions: The findings of the study showed that many pharmaceutical companies did not have public policies on diversity in clinical trials, although policies were more common in large than non-large companies. Policies that were publicly available varied widely and lacked important commitments recommended by stakeholder guidance. The results of the study suggest that corporate policies can be better leveraged to promote representation and fair inclusion in research, and implementation of FDA and stakeholder guidance.

Retracted papers originating from paper mills: a cross-sectional analysis of references and citations.

OBJECTIVES: The aims of this study are (1) to analyze the references cited by retracted papers originated from paper mills; (2) to analyze the citations received by retracted papers originated from paper mills; and (3) to analyze the potential relationships existing between paper mill papers and their references and their citations. STUDY DESIGN AND SETTING: This study was a cross-sectional study. All original papers retracted in 2022 identified as having originated from paper mills and had been published at least 12 months before their retraction (hereinafter "source-retracted papers") were included. The Retraction Watch database was used to identify the source-retracted papers and Web of Science was used to identify the references contained within them and the citations received by them. We described the characteristics of the papers and journals. Additionally, 2 networks of source-retracted papers mutually interconnected via their citations and references were built: 1 with only retracted references and retracted citations and the other with all references and citations (retracted or unretracted). RESULTS: A total of 416 paper mill papers retracted in 2022 (sourced retracted papers) were identified, with a median of 1247 (interquartilic range, 907.8-1673.5) days between publication and retraction. Of all authors identified, 92.3% were affiliated with Chinese institutions. There were 14,411 references contained in the source-retracted papers and 8479 citations received by them; the median number of references and citations was 35 (29-40) and 16 (9-25), respectively. In total, 473 references and citations had also been retracted for being paper mill papers. Among the 416 sourced-retracted papers, 169 (41.9%) and 178 (42.8%) were referenced or were cited by at least another retracted paper, the majority of which also originated from paper mills. The first network analysis, which included source-retracted papers along with their retracted references and citations, found 3 clusters of 53, 48, and 44 retracted papers that were mutually interconnected. The second network analysis, with all references and citations (retracted or unretracted) identified a large cluster of 2530 interconnected papers. CONCLUSION: Retracted papers originating from paper mills frequently reference and are cited by papers that are later retracted for having originated from paper mills, displaying inter-relationships. Detecting these inter-relationships can serve as an indicator for identifying potentially fraudulent publications.