A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial.

Social media analyses have become increasingly popular among health care researchers. Social media continues to grow its user base and, when analyzed, offers unique insight into health problems. The process of obtaining data for social media analyses varies greatly and involves ethical considerations. Data extraction is often facilitated by software tools, some of which are open source, while others are costly and therefore not accessible to all researchers. The use of software for data extraction is accompanied by additional challenges related to the uniqueness of social media data. Thus, this paper serves as a tutorial for a simple method of extracting social media data that is accessible to novice health care researchers and public health professionals who are interested in pursuing social media research. The discussed methods were used to extract data from Facebook for a study of maternal perspectives on sudden unexpected infant death.

Assessing the true prevalence of endometriosis: A narrative review of literature data.

Endometriosis is a gynecologic condition often described as the "chameleon of gynecology" because of its elusive symptoms. The World Health Organization acknowledges its severe impact on quality of life due to pain, fatigue, depression, and infertility. There is limited literature on the prevalence of endometriosis, knowledge of which is essential for effective prevention, treatment strategies, and funding. We aim to structure and present the published data on endometriosis prevalence, synthesizing the discrepancy between health insurance and clinical data. PubMed, Cochrane CENTRAL, and LIVIVO were researched for peer-reviewed articles published between January 2000 and July 2023 on women of reproductive age. Health insurance companies argue that few women (~1%) are affected by endometriosis. Interestingly, the prevalence of clinical data studies (6.8%), population-based surveys/self-reported studies (6.6%), and symptomatic patient data (21%) revealed a different picture. Based on the data gathered, a multi-layered prevalence model has been proposed to illustrate the large discrepancy in the prevalence numbers, leading to the disease being underestimated and underfunded. This variability may be influenced by the heterogeneity in designs and the analyzed data, and clinical complexity. In summary, this narrative review reveals that the prevalence of endometriosis is higher than health insurance and other stakeholders might have previously assumed.

Evaluating the Problem of Fraudulent Participants in Health Care Research: Multimethod Pilot Study.

BACKGROUND: The shift toward online recruitment methods, accelerated by the COVID-19 pandemic, has brought to the forefront the growing concern of encountering fraudulent participants in health care research. The increasing prevalence of this issue poses a serious threat to the reliability and integrity of research data and subsequent findings. OBJECTIVE: This study aims to explore the experiences of health care researchers (HCRs) who have encountered fraudulent participants while using online recruitment methods and platforms. The primary objective was to gain insights into how researchers detect and mitigate fraudulent behavior in their work and provide prevention recommendations. METHODS: A multimethod sequential design was used for this pilot study, comprising a quantitative arm involving a web-based survey followed by a qualitative arm featuring semistructured interviews. The qualitative description approach framed the qualitative arm of the study. Sample sizes for the quantitative and qualitative arms were based on pragmatic considerations that in part stemmed from encountering fraudulent participants in a concurrent study. Content analysis was used to analyze open-ended survey questions and interview data. RESULTS: A total of 37 HCRs participated, with 35% (13/37) of them engaging in qualitative interviews. Online platforms such as Facebook, email, Twitter (subsequently rebranded X), and newsletters were the most used methods for recruitment. A total of 84% (31/37) of participants indicated that fraudulent participation occurred in studies that mentioned incentives in their recruitment communications, with 71% (26/37) of HCRs offering physical or electronic gift cards as incentives. Researchers identified several indicators of suspicious behavior, including email surges, discrepancies in contact or personal information, geographical inconsistencies, and suspicious responses to survey questions. HCRs emphasized the need for a comprehensive screening protocol that extends beyond eligibility checks and is seamlessly integrated into the study protocol, grant applications, and research ethics board submissions. CONCLUSIONS: This study sheds light on the intricate and pervasive problem of fraudulent participation in health care research using online recruitment methods. The findings underscore the importance of vigilance and proactivity among HCRs in identifying, preventing, and addressing fraudulent behavior. To effectively tackle this challenge, researchers are encouraged to develop a comprehensive prevention strategy and establish a community of practice, facilitating real-time access to solutions and support and the promotion of ethical research practices. This collaborative approach will enable researchers to effectively address the issue of fraudulent participation, ensuring the conduct of high-quality and ethically sound research in the digital age.

Organizational Context and Facilitation Interactions on Delirium Risk in Long-Term Care: A Cross-Sectional Study.

OBJECTIVES: Organizational context (eg, leadership) and facilitation (eg, coaching behaviors) are thought to interact and influence staff best practices in long-term care (LTC), including the management of delirium. Our objective was to assess if organizational context and facilitation-individually, and their interactions-were associated with delirium in LTC. DESIGN: Retrospective cross-sectional analysis of secondary data. SETTING AND PARTICIPANTS: We included 8755 residents from 281 care units in 86 LTC facilities in 3 Canadian provinces. METHODS: Delirium (present/absent) was assessed using the Resident Assessment Instrument-Minimum Data Set 2.0 (RAI-MDS 2.0). The Alberta Context Tool (ACT) measured 10 modifiable features of care unit organizational context. We measured the care unit's total care hours per resident day and the proportion of care hours that care aides contributed (staffing mix). Facilitation included the facility manager's perception of RAI-MDS reports' adequacy and pharmacist availability. We included unit managers' change-oriented organizational citizenship behavior (OCB) and an item reflecting how often care aides recommended policy changes. Associations of organizational context, facilitation, and their interactions with delirium were analyzed using mixed-effects logistic regressions, controlling for covariates. RESULTS: Delirium symptoms were prevalent in 17.4% of residents (n = 1527). Manager-perceived adequacy of RAI-MDS reports was linked to reduced delirium symptoms [odds ratio (OR) = 0.63]. Higher care hours per resident day (OR = 1.2) and an available pharmacist in the facility (OR = 1.5) were associated with increased delirium symptoms. ACT elements showed no direct association with delirium. However, on care units with low social capital scores (context), increased unit managers' OCB decreased delirium symptoms. On care units with high vs low evaluation scores (context), increased staffing mix reduces delirium symptoms more substantially. CONCLUSIONS AND IMPLICATIONS: Unit-level interactions between organizational context and facilitation call for targeted quality improvement interventions based on specific contextual factors, as effectiveness may vary across contexts.

[Current data on rheumatological care: annual report from the National database (NDB) of the regional collaborative arthritis centres in Germany]. / Aktuelle Zahlen zur rheumatologischen Versorgung ­ Jahresbericht aus der Kerndokumentation der regionalen kooperativen Rheumazentren.

In the National database (NDB) of the German regional collaborative arthritis centres, annual data on the rheumatological care of patients with inflammatory rheumatic diseases have been collected since 1993. This first annual report presents current cross-sectional data on medication and patient-reported outcomes gathered in 2022.

Inequities in Technology Access and Digital Health Literacy Among Patients With Dermatologic Conditions: Cross-Sectional Analysis of the National Health Interview Survey.

Certain sociodemographic factors are associated with low technology access and digital healthy literacy.

Treatment in Certified Breast Cancer Centers Improves Chances of Survival of Patients with Breast Cancer: Evidence Based on Health Care Data from the WiZen Study.

Introduction: Certified breast cancer centers offer specific quality standards in terms of their structure, diagnostic and treatment approaches with regards to breast surgery, drug-based cancer therapy, radiotherapy, and psychosocial support. Such centers aim to improve treatment outcomes of breast cancer patients. The question investigated here was whether patients with primary breast cancer have a longer overall survival if they are treated in a certified breast cancer center compared to treatment outside these centers. Methods: We used patient-specific data (demographics, diagnoses, treatments) obtained from data held by mandatory health insurance companies ( gesetzliche Krankenversicherung , GKV) and clinical cancer registries (KKR) for the period 2009-2017 as well as hospital characteristics recorded in standardized quality reports. Using multivariable Cox regression analysis, we investigated differences in survival between patients treated in hospitals certified as breast cancers centers by the German Cancer Society (DKG) and patients treated in hospitals which had not been certified by the DKG. Results: The sample population consisted of 143720 (GKV data) and 59780 (KKR data) patients with breast cancer, who were treated in 1010 hospitals across Germany (280 DKG-certified, 730 not DKG-certified). 63.5% (GKV data) and 66.7% (KKR data) of patients, respectively, were treated in DKG-certified breast cancer centers. Cox regression analysis for overall survival which included patient and hospital characteristics found a significantly lower mortality risk for patients treated in DKG-certified breast cancer centers (GKV data: HR = 0.77, 95% CI = 0.74-0.81; KKR data: HR = 0.88, 95% CI = 0.85-0.92). This result remained stable even after several sensitivity analyses including stratified estimates for subgroups of patients and hospitals. The effect was even more pronounced for recurrence-free survival (KKR data: HR = 0.78, 95% CI = 0.74-0.82). Conclusions: Patients who are treated by an interdisciplinary team in a DKG-certified breast cancer had clear and statistically significantly better survival rates. Certification is therefore an effective means of improving the quality of care, and more patients should be treated in certified breast cancer centers.

Theories used to develop or evaluate social prescribing in studies: a scoping review.

OBJECTIVE: This scoping review aims to provide an overview of how theories were used in the development or evaluation of social prescribing (SP) intervention studies. BACKGROUND: SP describes a patient pathway where general practitioners (GPs) connect patients with community activities through referrals to link workers. This review seeks to understand the explanations provided for the outcomes and implementation process of SP. INCLUSION CRITERIA: Studies using a defined theory to develop or evaluate a specific SP intervention in primary care and the community sector. METHODS: This scoping review was conducted in accordance with JBI methodology. The following databases were searched on 8th of July 2022: PubMed, ASSIA, Cochrane, Cinahl, PsycINFO, Social Care Online, Sociological Abstracts, Scopus, and Web of Science. The search only considered English language texts. Additional literature was identified by searching relevant web pages and by contacting experts. The selection of sources and the data extraction was done by two reviewers independently. RESULTS: The search resulted in 4240 reports, of which 18 were included in the scoping review. Of these, 16 were conducted in the UK, one in Canada and one in Australia. The majority of reports employed a qualitative approach (11/18). Three were study protocols. 11 distinct theories were applied to explain outcomes (4 theories), differences in outcomes (3 theories), and the implementation of the intervention (4 theories). In terms of practical application, the identified theories were predominantly used to explain and understand qualitative findings. Only one theory was used to define variables for hypothesis testing. All theories were used for the evaluation and none for the development of SP. CONCLUSION: The theories influenced which outcomes the evaluation assessed, which causal pathway was expected to generate these outcomes, and which methodological approaches were used. All three groups of theories that were identified focus on relevant aspects of SP: fostering positive patient/community outcomes, addressing inequalities by considering the context of someone's individual circumstances, and successfully implementing SP by collaboratively working across professions and institutional boundaries. Additional insight is required regarding the optimal use of theories in practical applications.

Investigating insomnia in United States deployed military forces: A topic modeling approach.

STUDY OBJECTIVES: This retrospective study analyzed free-text clinical notes from medical encounters for insomnia among a sample of deployed US military personnel. Topic modeling, a natural language processing technique, was used to identify thematic patterns in the clinical notes that were potentially related to insomnia diagnosis. METHODS: Clinical notes of patient clinical encounters coded for insomnia from the US Department of Defense Military Health System Theater Medical Data Store were analyzed. Following preprocessing of the free text in the clinical notes, topic modeling was employed to identify relevant underlying topics or themes in 32,864 unique patients. The machine-learned topics were validated using human-coded potential insomnia etiological issues. RESULTS: A 12-topic model was selected based on quantitative metrics, interpretability, and coherence of terms comprising topics. The topics were assigned the following labels: personal/family history, stimulants, stress, family/relationships, other sleep disorders, depression, schedule/environment, anxiety, other medication, headache/concussion, pain, and medication refill. Validation of these topics (excluding the two medication topics) against their corresponding human-coded potential etiological issues showed strong agreement for the assessed topics. CONCLUSIONS: Analysis of free-text clinical notes using topic modeling resulted in the identification of thematic patterns that largely mirrored known correlates of insomnia. These findings reveal multiple potential etiologies for deployment-related insomnia. The identified topics may augment electronic health record diagnostic codes and provide valuable information for sleep researchers and providers. As both civilian and military healthcare systems implement electronic health records, topic modeling may be a valuable tool for analyzing free-text data to investigate health outcomes.

Outcome of endovascular stroke therapy in a large mandatory stroke-registry.

BACKGROUND: Endovascular stroke treatment (EST) has become the standard treatment for patients with stroke due to large vessel occlusion, especially in earlier time windows. Only few data from population-based registries on effectiveness of EST have been published. METHODS: Baden-Wuerttemberg is the third largest state in Germany in terms of area and population and has a structured stroke concept since 1998 which includes mandatory collection of quality assurance data. In 2018 and 2019, 3820 of 39,168 ischemic stroke patients (9.8%) were treated by EST (age median 78 y, NIHSS median 14). We analyzed the clinical outcome of these patients determined with the modified Rankin Scale (mRS) at discharge from the hospital or with the initiation of palliative therapy using logistic regression analysis with adjustment for the mRS at admission, additive IVT, age, and NIHSS. RESULTS: The probability of an excellent clinical outcome (mRS 0 or 1 at discharge) and for a good clinical outcome (mRS 0-2) were significantly higher in EST-patients (odds-ratio (OR) 1.27; 95% confidence interval (95% CI) 1.13-1.43, and OR of 1.15 (95% CI 1.04-1.28). Also, the regression model showed an advantage for EST-patients with less frequent 'decision for palliative care' (OR 0.87; 95% CI 0.78-0.98). Sensitivity analysis adjusting for intracranial vessel occlusion as further factor showed similar results. CONCLUSION: Our data suggest that EST can be of benefit also for an area-wide unselected stroke population, in a large German federal state with sometimes long distance to the next thrombectomy center.

Generative Hanging Out: Developing Engaged Practices for Health-Related Research1.

"Hanging out" with one's interlocutors generates ethnographic ways to creatively involve people in health care research. This special issue focusses on people who are difficult to engage in conventional research because they are not verbally fluent, such as people with dementia or learning disabilities, or who speak a language that the researcher does not understand. In this introduction I discuss how "Hanging out" shifts the goal-orientation of research practices toward relationships and settings. Hierarchies may be shifted to provide attractive possibilities for interlocutors to participate by doing things together with the researcher. The research practice itself becomes the object of analysis.

Unsupervised learning for medical data: A review of probabilistic factorization methods.

We review popular unsupervised learning methods for the analysis of high-dimensional data encountered in, for example, genomics, medical imaging, cohort studies, and biobanks. We show that four commonly used methods, principal component analysis, K-means clustering, nonnegative matrix factorization, and latent Dirichlet allocation, can be written as probabilistic models underpinned by a low-rank matrix factorization. In addition to highlighting their similarities, this formulation clarifies the various assumptions and restrictions of each approach, which eases identifying the appropriate method for specific applications for applied medical researchers. We also touch upon the most important aspects of inference and model selection for the application of these methods to health data.

Retention and weight outcomes after transitioning an intensive behavioral weight management program from an in-person to a virtual format.

Background: Virtual care offers many potential advantages over traditional in-person care for people with chronic diseases including obesity. Before the COVID-19 pandemic, virtual care was not broadly implemented because of regulatory, legal, and reimbursement barriers. Objective: To evaluate the impact of the transition from an entirely in-person format to a virtual format during the COVID-19 pandemic on retention and weight reduction in a 2-year, structured, intensive behavioral weight management program for people with moderate to severe obesity. Methods: Retrospective cohort study of 1313 program participants stratified according to the phase of the program during which the transition to virtual visits occurred. Results: Age, sex, and baseline weight were independent predictors of program retention. Transition to virtual visits was associated with greater 2-year program retention. Retention but not mode of program delivery was associated with reduction in weight at 2-year. Conclusions: Transition from in-person to virtual program delivery improved retention and by doing so, indirectly improved weight loss at 2 years. Telemedicine has the potential to overcome many of the limitations associated with traditional in-person weight loss interventions. Clinical Trial Registration: This research was reviewed and approved by the University of Michigan Institutional Review Board and registered on ClinicalTrials.gov (NCT02043457). All participants provided written informed consent.

Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study.

BACKGROUND: Artificial intelligence (AI) is widely considered to be the new technical advancement capable of a large-scale modernization of health care. Considering AI's potential impact on the clinician-patient relationship, health care provision, and health care systems more widely, patients and the wider public should be a part of the development, implementation, and embedding of AI applications in health care. Failing to establish patient and public engagement and involvement (PPIE) can limit AI's impact. OBJECTIVE: This study aims to (1) understand patients' and the public's perceived benefits and challenges for AI and (2) clarify how to best conduct PPIE in projects on translating AI into clinical practice, given public perceptions of AI. METHODS: We conducted this qualitative PPIE focus-group consultation in the United Kingdom. A total of 17 public collaborators representing 7 National Institute of Health and Care Research Applied Research Collaborations across England participated in 1 of 3 web-based semistructured focus group discussions. We explored public collaborators' understandings, experiences, and perceptions of AI applications in health care. Transcripts were coanalyzed iteratively with 2 public coauthors using thematic analysis. RESULTS: We identified 3 primary deductive themes with 7 corresponding inductive subthemes. Primary theme 1, advantages of implementing AI in health care, had 2 subthemes: system improvements and improve quality of patient care and shared decision-making. Primary theme 2, challenges of implementing AI in health care, had 3 subthemes: challenges with security, bias, and access; public misunderstanding of AI; and lack of human touch in care and decision-making. Primary theme 3, recommendations on PPIE for AI in health care, had 2 subthemes: experience, empowerment, and raising awareness; and acknowledging and supporting diversity in PPIE. CONCLUSIONS: Patients and the public can bring unique perspectives on the development, implementation, and embedding of AI in health care. Early PPIE is therefore crucial not only to safeguard patients but also to increase the chances of acceptance of AI by the public and the impact AI can make in terms of outcomes.

Patient-related benefits of amyloid PET imaging in dementia: Rationale and design of the German randomized coverage with evidence development study ENABLE.

The utility of amyloid positron emission tomography (PET) for the etiological diagnosis of dementia and its impact on functional status of patients in routine care are currently unclear. Here, we describe the design of ENABLE, a randomized controlled two-armed coverage with evidence development (CED) study in Germany. Approximately 1126 patients with mild to moderate dementia of unclear etiology will be randomly assigned to either an amyloid PET or a no amyloid PET group. Patients will be followed-up for 24 months. The study has been registered at the German Clinical Trials Register (https://drks.de/search/de/trial/DRKS00030839) with the registration code DRKS00030839. The primary endpoint of ENABLE is the ability to perform functional activities of daily living at 18 months. Secondary endpoints include change in diagnosis, diagnostic confidence, and cognitive and clinical outcomes of patients. We expect that the CED study ENABLE will inform about patient relevant effects of amyloid PET in routine care. Furthermore, we anticipate that ENABLE will support physicians' and payers' decisions on provision of health care for patients with dementia. Highlights: Study design focuses on the usefulness of amyloid positron emission tomography (PET) in routine care.Study design addresses the patient-relevant effect of amyloid PET.Patient representatives were involved in the creation of the study design.The study will help improve routine care for people with dementia.

Exploring the Relationship between (De-)Centralized Health Care Delivery, Client-Centeredness, and Health Outcomes-Results of a Retrospective, Single-Center Study of Transgender People Undergoing Vaginoplasty.

Introduction: Transgender health care interventions (e.g., gender-affirming surgery) support transgender and gender-diverse people to transition to their gender and are delivered in both centralized (by one interdisciplinary institution) and decentralized settings (by different institutions spread over several locations). In this exploratory study, we investigated the relationship between centralized and decentralized delivery of transgender health care, client-centeredness, and psychosocial outcomes. Methods: A retrospective analysis of 45 clients undergoing vaginoplasty at one medical center was conducted. Mann-Whitney U tests assessed differences regarding five dimensions of client-centeredness and psychosocial outcomes between the health care delivery groups. To address shortcomings regarding the small sample size, we applied a rigorous statistical approach (e.g., Bonferroni correction) to ensure that we only identified predictors that were actually related to the outcomes. Results: All aspects of client-centered care were scored average or high. Decentralized delivery of care was more client-centered in terms of involvement in care/shared decision-making and empowerment. However, participants from decentralized health care delivery settings scored lower on psychosocial health (p = 0.038-0.005). Conclusions: The factor of (de-)centralized health care delivery appears to have a significant impact on the provision of transgender health care and should be investigated by future research.

Understanding the Perceptions of Healthcare Researchers Regarding ChatGPT: A Study Based on Bidirectional Encoder Representation from Transformers (BERT) Sentiment Analysis and Topic Modeling.

In this study, we have used deep learning techniques to understand the perception of researchers in the healthcare sector about the recently introduced chat generative pre-trained transformer (ChatGPT). Ever since the launch of ChatGPT, there have been various debates over the usage of ChatGPT for research purposes. In this article, using the pre-trained BERT (Bidirectional Encoder Representations from Transformers) model, we performed sentiment analysis and topic modeling to analyze the social media posts of healthcare researchers to understand their emotions towards ChatGPT.

Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project).

Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.

Transitional care of older ethnic minority patients: An integrative review.

AIMS: To critically synthesize the empirical literature on practice in transitional care and how to meet the care needs of older ethnic minority populations who discharged from hospital to community. DESIGN: An integrative literature review integrating empirical studies using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES: PubMed, Web of Science, PsycINFO, EBSCO (including CINAHL and MEDLINE) and Scopus were searched for papers published between 2012 and September 2022. REVIEW METHODS: Full-text papers were screened against inclusion and exclusion criteria subsequent to screening titles and abstracts. All included papers were evaluated for methodological quality using the Critical Appraisal Skills Programme Checklists. After extracting findings, themes were created by critically examining and synthesizing of findings. RESULTS: The search yielded a total of 1180 studies, 1153 after removing duplicates and 27 papers meeting the inclusion criteria and exclusion criteria were included in the review. The main findings were categorized into four themes: (i) intervention-related outcomes; (ii) unmet needs of older minority people; (iii) transitional care-related characteristics of older minority people and (iv) challenges for healthcare providers. Findings indicated that the transitional care experience of ethnic minority older populations differed from natives to some extent which revealed unmet needs addressing how to provide culturally appropriate transitional care for this population. CONCLUSION: This review gave insight into facilitators in the transitional care of ethnic minority older adults. Future transitional care interventions should incorporate needs of ethnic minority population. IMPACT: This review highlighted the defined gaps between existing transitional care programmes and transitional care needs of older ethnic minority. Increasing follow-up completion, evidence defining deeply of ethnic phenomenon in the transitional care process, developing interventions that meet transitional care needs and increasing healthcare providers' cultural competency were featured headlines. No Patient or Public Contribution.

Prevalence of malocclusions in 8- and 9-year-old children in Germany-Results of the Sixth German Oral Health Study (DMS 6).

PURPOSE: Current population-wide data on the prevalence of malocclusions in 8­ and 9­year-old children in Germany are not available. Therefore, the primary objective of this study was to collect data on the prevalence of malocclusions in 8­ and 9­year-old children in Germany. The secondary objective of this study was to use this information to derive the need for orthodontic care provision. METHODS: This is an oral-epidemiological investigation and social science survey at the national level with a focus on tooth and jaw misalignment. The investigation took place between January and March 2021 at 16 study centers across Germany. All relevant data were available for the 705 study participants and were included in the statistical analysis. RESULTS: Overbite was the most common finding with 88.9%. Also widespread were crowding, with at least 60.9%, and lack of space, with a share of 30.9%. All other indication groups had a share below 10%. Rare (< 1%) were buccal and lingual occlusions and craniofacial abnormalities. The most severe forms of disease (Orthodontic Indication Group [Kieferorthopädische Indikationsgruppen, KIG] grade 5) were overbite (3.2%), open bite malocclusion (1.0%), undershot (0.6%), and craniofacial abnormalities (0.4%). The proportion of study participants who required orthodontic treatment, in accordance with statutory health insurance provider guidelines, was 40.4%. The proportion of study participants in principle requiring orthodontic treatment for medical reasons was 97.5%. Systemic differences in the need for orthodontic care provision relating to gender, region, or social status were not identified. CONCLUSION: In general, the need for care provision identified in the orthodontic indication groups corresponds to that shown in previous studies. This suggests that the need for orthodontic treatment in Germany has remained stable over the years.