Health Economics Research Research Articles

Systematic Review of Per Person Violence Costs

Data on the long-term and comprehensive cost of violence are essential for informed decision making regarding the future benefits of resources directed toward violence prevention. This review aimed to summarize original per-person estimates of the attributable cost of interpersonal violence to support public health economic research and decision making. In 2023, English-language peer-reviewed journal articles published in 2000-2022 with a focus on high-income countries reporting original per-person average cost of violence estimates were identified using index terms in multiple databases. Study contents, including violence type (e.g., adverse childhood experiences), timeline and payer cost perspective (e.g., hospitalization event-only healthcare payer cost), and associated per-person cost estimates, were summarized. Costs were in 2022 U.S. dollars. Per-person cost estimates related to adverse childhood experiences, community violence, sexual violence, intimate partner violence, homicide, firearm violence, youth violence, workplace violence, and bullying from 73 studies (majority focusing on the U.S.) were summarized. For example, among 23 studies with a focus on adverse childhood experiences, monetary estimates ranged from $390 for adverse childhood experience-related annual healthcare out-of-pocket costs per U.S. adult with ≥3 adverse childhood experiences to $20.2 million for the lifetime societal economic burden of a U.S. child maltreatment fatality. This review provides a descriptive summary of available per-person cost of violence estimates. Results can help public health professionals to describe the economic burden of violence, identify the best available estimate for a particular public health question, and address data gaps. Ultimately, understanding the long-term and comprehensive cost of violence is necessary to anticipate the economic benefits of prevention.

Danish Linguistic Validation and Cultural Adaptation of the LIMB-Q Kids.

(1) Background: Lower Limb deformities include many conditions where pain and physical limitations negatively impact the health-related quality of life (HRQL) of children. The ideal way to assess this impact is by using a Patient Reported Outcome Measure (PROM). Such a condition-specific PROM is under development, called LIMB-Q Kids. This study aimed to perform a translation and cultural adaption (TCA) of the LIMB-Q Kids for use in Danish-speaking children. (2) Methods: TCA guidelines established by the World Health Organization (WHO) and the Professional Society for Health Economics and Outcomes Research (ISPOR) were followed. This process consisted of two independent forward translations, a reconciliation meeting, a backward translation with an assessment, an expert meeting, cognitive interviews with patients, editing based on the interviews, and proofreading. (3) Results: The TCA process contributed to the Danish version of LIMB-Q Kids. The reconciliation meeting resulted in a reconciled Danish version. The revision of the backward translation led to 16 corrections, and after the expert panel meeting, 26 changes were made. Twelve cognitive interviews led to nine changes, which were validated by two further interviews. Proofreading led to no further comments. (4) Conclusions: The TCA process led to a linguistically validated and culturally adapted Danish version of LIMB-Q Kids. This version is being used in the international field test study.

1218-P: All-Cause Mortality in Individuals Aged 65+ Years with Type 2 Diabetes With and Without Frailty—Clinical Utility of Electronic Frailty Index to Individualise HbA1c Targets

Frailty and type 2 diabetes (T2D) is fast becoming a clinical challenge especially in the elderly population. Despite clear guidance on the need to evaluate individualised HbA1c targets in connection with frailty status with mortality risk, there is a lack of formal evidence on these associations. To guide healthcare professionals in setting appropriate HbA1c targets, this study aimed to investigate the association between mortality in connection with electronic frailty index (eFI) and HbA1c, as well as exploring the clinical utility of eFI as a tool to individualise HbA1c targets in frail patients with T2D. Methods: We included patients with T2D aged 65+ within UK primary care electronic database (the Clinical Practice Research Datalink) and Hospital Episode Statistics from 2014-19. All-cause mortality (ACM) risk associated with 4 frailty groups (non-frail; mild; moderate and severe) (defined by electronic frailty index scores, eFI) and seven HbA1c groups at 1.0% intervals were assessed using multivariate Cox regression analysis adjusted for demographic and clinical characteristics. The reference group was defined as “non-frail” individuals with HbA1c 6.5-7.5%. Results: 179,723 individuals (mean±SD; age 74.8±7.6years, diabetes duration 7.3±6.1years, HbA1c 55.7±15.8mmol/mol) were followed for mean 1.7 years. Within all frailty groups, the risk of ACM was greatest at HbA1c<5.5%, with highest risk observed in moderate (HR 3.34; 95%CI 2.80, 3.99) and severe frailty (HR 3.27; 95%CI 2.73, 3.91) groups. In all groups, ACM risk increased with higher HbA1c levels compared to HbA1c 6.5-7.5% (a “U-shaped” curve). Conclusion: Both high and low HbA1c levels increase the risk of ACM for people 65+ with T2D and frailty in a “U-shaped” association between HbA1c and ACM. This study supports eFI as a useful tool to facilitate HbA1c target setting in older patients with T2D and to manage ACM risk. Disclosure T.S.J.Crabtree: Speaker's Bureau; Abbott Diabetes, Novo Nordisk, Lilly, Sanofi, Insulet Corporation. Y.Vinogradova: None. R.Aldafas: None. J.Gordon: Employee; Health Economics and Outcomes Research Ltd. I.R.Idris: None.

EPH153 A Natural Language Processing Solution for Health Economics and Outcomes Research Systematic Literature Review

Systematic literature review (SLR), an important tool in health economics and outcomes research (HEOR), is routinely conducted to understand the research landscape and synthesize evidence related to disease burden and treatment options. Conducting an SLR is time-consuming and labor-intensive. In this work, we report on a Natural Language Processing (NLP) solution that automates and accelerates tasks in the SLR process.

Clinical Characteristics Profile of COVID-19 Patients with Omicron Variant Admitted in a Tertiary Hospital, Central China.

Omicron, a variant of COVID-19, is becoming a major issue of global concern. Its high transmissibility may bring challenges to the distribution of health care in a large population country like China. Investigating the behavior of the virus in the Chinese population will certainly help to plan for the upcoming surge of Omicron. Therefore, we made a preliminary analysis of the clinical and epidemiological characteristics of suspected cases of Omicron at the early stage of the surge. The study was conducted in Nanyang Central Hospital, a tertiary hospital, from 21st December, 2022 to 8th January, 2023. A total of 210 patients underwent demographic characteristics and clinical symptom collection from their medical records. Moreover, sputum culture was also conducted to explore the types of bacterial or fungal infections. Our results showed that 5 patients (4.1%) were aged 16-49, 40 patients (32.5%) were aged 50-70, and 78 patients (63.4%) were aged 70 or more in the severe group. The proportion of male patients with severe diseases infected with Omicron is higher than that of female patients and the proportion of severe cases increases with age. The main symptoms of patients infected with Omicron are cough (91, 74.0%), fever (90, 73.2%), and asthma (73, 59.3%). The pathogens Streptococcus pneumoniae (71, 31.0%), Staphylococcus aureus (46, 20.1%), Mycoplasma pneumoniae (26, 11.4%), Klebsiella pneumoniae (18, 7.9%), Acinetobacter baumannii (13, 5.7%), and Haemophilus influenzae were detected in lower respiratory tract. This study suggests that age >70 is a risk factor for severe COVID-19 and that patients often have bacterial or fungal infections. Our research results may help to provide effective treatment for patients with Omicron infection and also contribute to health economic analysis and research to assist future public health decision-making.

OP14 Just What the Doctor Ordered? A Review of Clinician Exposure to Health Economics and Outcomes Research

OP14 Just What the Doctor Ordered? A Review of Clinician Exposure to Health Economics and Outcomes Research

High Hospital-related Costs at the End-of-life in Patients With Multiple Myeloma: A Single-center Study.

High Hospital-related Costs at the End-of-life in Patients With Multiple Myeloma: A Single-center Study.

Development of a Choice-framework for Covid vaccines in India using a multi-criteria decision analysis approach

BackgroundVaccines were crucial in controlling the Covid-19 pandemic. As more vaccines receive regulatory approval, stakeholders will be faced with several options and must make an appropriate choice for themselves. We proposed a multi-criteria decision analysis (MCDA) framework to guide decision-makers in comparing vaccines for the Indian context. MethodsWe adhered to the ISPOR guidance for the MCDA process. Seven vaccine options were compared under ten criteria. Through three virtual workshops, we obtained opinions and weights from citizens, private-sector hospitals, and public health organisations. Available evidence was rescaled and incorporated into the performance matrix. The final score for each vaccine was calculated for the different groups. We performed different sensitivity analyses to assess the consistency of the rank list. ResultsThe cost, efficacy and operational score of the vaccines had the highest weights among the stakeholders. From the six scenario groups, Janssen had the highest score in four. This was driven by the advantage of having a single dose of vaccination. In the probabilistic sensitivity analysis for the overall group, Covaxin, Janssen, and Sputnik were the first three options. The participants expressed that availability, WHO approvals and safety, among others, would be crucial when considering vaccines. ConclusionsThe MCDA process has not been capitalised on in healthcare decision-making in India and LMICs. Considering the available data and stakeholder preference at the time of the study, Covaxin, Janssen, and Sputnik were preferred options. The choice framework with the dynamic performance matrix is a valuable tool that could be adapted to different population groups and extended based on increasing vaccine options and emerging evidence.*ISPOR – The Professional Society for Health Economics and Outcomes Research.

Study protocol of a prospective single-arm multicenter clinical study to assess the safety and performance of the aXess hemodialysis graft: The pivotal study.

Arteriovenous grafts (AVGs) are used for patients deemed unsuitable for the creation of an autogenous arteriovenous fistula (AVF) or unable to await maturation of the AVF before starting hemodialysis. However, AVGs are prone to infection and thrombosis resulting in low long-term patency rates. The novel aXess Hemodialysis Graft consists of porous polymeric biomaterial allowing the infiltration by cells and the growth of neotissue, while the graft itself is gradually absorbed, ultimately resulting in a fully functional natural blood vessel. The Pivotal Study will examine the long-term effectiveness and safety of the aXess Hemodialysis Graft. The Pivotal Study is a prospective, single-arm, multicenter study that will be conducted in 110 subjects with end-stage renal disease who are not deemed suitable for the creation of an autogenous vascular access. The primary efficacy endpoint will be the primary patency rate at 6 months. The primary safety endpoint will be the freedom from device-related serious adverse events at 6 months. The secondary endpoints will include the procedural success rate, time to first cannulation, patency rates, the rate of access-related interventions to maintain patency, the freedom from device-related serious adverse events and the rate of access site infections. Patients will be followed for 60 months. An exploratory Health Economic and Outcomes Research sub-study will determine potential additional benefits of the aXess graft to patients, health care institutions, and reimbursement programs. The Pivotal study will examine the long-term performance and safety of the aXess Hemodialysis Graft and compare the outcome measures with historical data obtained with other graft types and autogenous AVFs. Potential advantages may include superior long-term patency rates and lower infection rates versus currently available AVGs and a shorter time to first cannulation compared to an autologous AVF. As such, the aXess Hemodialysis Graft may fulfill an unmet clinical need in the field of hemodialysis access.

Patient and Public Involvement in Health Economics Modelling Raises the Need for Normative Guidance.

Patient and public involvement in health economics research and health technology assessment has been increasing for some time; however, patient and public involvement in health economics modelling is a more recent development. One reason to advance this type of involvement is to help appropriately manage the social and ethical value judgements that are required throughout model development and interpretation. At the same time, patient and public involvement in health economics modelling raises numerous practical and philosophical issues that invite discussion and debate. Recently, we attended an engagement event which invited patients, members of the public, researchers and decision-makers to discuss some of these issues. One priority that emerged in the discussion was to develop normative guidance for patient and public involvement in health economics modelling. In this article, we reflect on this goal from our own perspective, focusing on why normative guidance is needed and what questions that guidance should answer.

Health-Related Quality of Life (HRQoL) Using EQ-5D-5L: Value Set Derived for Indian Breast Cancer Cohort.

The purpose of this study was to report quality of life of newly diagnosed breast cancer patients from India in a large cohort using the EQ-5D-5L instrument. The study used longitudinal data of 500 breast cancer and 200 non-cancer subjects registered at our centre, during June 2019 and March 2022. The EQ-5D-5L and EQ-VAS instruments were used to measure and compare utility scores among cancer and non-cancer subjects. Descriptive statistics were analyzed and Tobit regression model were used to confirm the predictors of the utility score. The cancer subjects had a mean EQ-ED-5L utility score of 0.8703 (SD=0.121), 0.8745 (SD=0.094) and 0.8902 (SD=0.107) at the time of baseline, completion and follow up surveys respectively. EQ-5D-5L values had significantly worsened after diagnosis of cancer as compared to the non-cancer cohort (0.87 vs. 0.93, p value 0.000). EQ-5D-5L utility scores as per stage for the cancer cohort were 0.88, 0.86 and 0.83 respectively for stage I-II, III and IV. Similarly, the EQ-VAS scores for stage I-II, III and IV were 74.9, 72.6 and 73.2 respectively. Multivariate analysis confirmed strong association of age, religion and income with the utility-values. This is the first longitudinal study reporting the utility scores derived from a large cohort of breast cancer patients demonstrating lower utility scores compared to non-cancer cohort. The utility scores also improve post treatment completion for cancer patients and decrease with higher stage at diagnosis. This information will be useful for future health economic research in India pertaining to breast cancer.

Health Economics Research on Non-surgical Biomedical HIV Prevention: Identifying Gaps and Proposing a Way Forward

Although HIV prevention science has advanced over the last four decades, evidence suggests that prevention technologies do not always reach their full potential. Critical health economics evidence at appropriate decision-making junctures, particularly early in the development process, could help identify and address potential barriers to the eventual uptake of future HIV prevention products. This paper aims to identify key evidence gaps and propose health economics research priorities for the field of HIV non-surgical biomedical prevention. We used a mixed-methods approach with three distinct components: (i) three systematic literature reviews (costs and cost effectiveness, HIV transmission modelling and quantitative preference elicitation) to understand health economics evidence and gaps in the peer-reviewed literature; (ii) an online survey with researchers working in this field to capture gaps in yet-to-be published research (recently completed, ongoing and future); and (iii) a stakeholder meeting with key global and national players in HIV prevention, including experts in product development, health economics research and policy uptake, to uncover further gaps, as well as to elicit views on priorities and recommendations based on (i) and (ii). Gaps in the scope of available health economics evidence were identified. Little research has been carried out on certain key populations (e.g. transgender people and people who inject drugs) and other vulnerable groups (e.g. pregnant people and people who breastfeed). Research is also lacking on preferences of community actors who often influence or enable access to health services among priority populations. Oral pre-exposure prophylaxis, which has been rolled out in many settings, has been studied in depth. However, research on newer promising technologies, such as long-acting pre-exposure prophylaxis formulations, broadly neutralising antibodies and multipurpose prevention technologies, is lacking. Interventions focussing on reducing intravenous and vertical transmission are also understudied. A disproportionate amount of evidence on low- and middle-income countries comes from two countries (South Africa and Kenya); evidence from other countries in sub-Saharan Africa as well as other low- and middle-income countries is needed. Further, data are needed on non-facility-based service delivery modalities, integrated service delivery and ancillary services. Key methodological gaps were also identified. An emphasis on equity and representation of heterogeneous populations was lacking. Research rarely acknowledged the complex and dynamic use of prevention technologies over time. Greater efforts are needed to collect primary data, quantify uncertainty, systematically compare the full range of prevention options available, and validate pilot and modelling data once interventions are scaled up. Clarity on appropriate cost-effectiveness outcome measures and thresholds is also lacking. Lastly, research often fails to reflect policy-relevant questions and approaches. Despite a large body of health economics evidence on non-surgical biomedical HIV prevention technologies, important gaps in the scope of evidence and methodology remain. To ensure that high-quality research influences key decision-making junctures and facilitates the delivery of prevention products in a way that maximises impact, we make five broad recommendations related to: improved study design, an increased focus on service delivery, greater community and stakeholder engagement, the fostering of an active network of partners across sectors and an enhanced application of research.

Status of Health Economics Research on Cognitive Behavioral Therapy for Insomnia

Cognitive behavioral therapy for insomnia (CBT-I) is a first-line treatment for insomnia disorder. Herein, we reviewed the currently prevailing forms of application of CBT-I and the corresponding studies on their health economics, comparing them with medication treatment. At present, most of the findings suggest that CBT-I has long-lasting effects and can help reduce future medical costs, thus showing long-term economic advantages. At present, there are no relevant research reports on the economic benefits of CBT-I in China. This review could provide reference for relevant studies to be conducted in the future in China. In addition, it provides reference from an economic perspective for clinicians and patients and facilitates their decision-making concerning using CBT-I as a treatment option for insomnia in the future.

The changing health convergence for life expectancy and spatial interactions

ABSTRACT Spatial interactions are important to consider issues like health convergence between the European Union countries and Spanish provinces. Health status is measured by a combination of objective health outcome indicators, such as life expectancy: at birth, at age 65, disability-adjusted life expectancy and healthy life expectancy based on self-perceived health. The period analysed differs from one indicator to another considering 1998–2018. There are two forms of convergence: σ-convergence and absolute β-convergence. Furthermore, the Moran Test is performed to disentangle the degree of spatial dependencies and two models of spatial regression are used to include these dependencies in the absolute β-convergence estimation. Our findings suggest that there is a convergence process among European Union countries and the Spanish provinces. On the other hand, β-convergence is higher in women among European countries and in men for Spanish provinces. Nevertheless, the rise of the dispersion means that there is not clear evidence about trends in the period considered. There are two contributions in our research: to achieve an updated vision of health convergence and to incorporate spatial econometrics in Health Economics research. These insights can help to reduce health inequalities.

Health-Related Quality of Life in Adult Patients with Strabismus—Translation and Psychometric Testing of the Adult Strabismus Questionnaire (AS-20) into Finnish

(1) Strabismus has an impact on individuals' health-related quality of life. The impact should be assessed with valid patient-reported outcome measures such as the Adult Strabismus Questionnaire (AS-20). The AS-20 was further refined using a Rasch analysis for the American population. The aims of the study were to translate and culturally adapt the AS-20 into Finnish and to evaluate the psychometric properties of the Finnish AS-20. (2) The guidelines of the Professional Society for Health Economics and Outcomes Research steered the process and four items were added from the original data as Finnish additions. The construct and convergent validity and internal consistency were evaluated via psychometric testing for three potential Finnish AS-20 structures. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist was applied. (3) The participants (n = 137) reported that the translation was clear and understandable. All structures showed high reliability and internal consistency as measured using Cronbach alpha values. The convergent validity assessed using Spearman's correlation coefficients between the structures and one item of Satisfaction with Life Scale indicated very low to moderate positive correlations. The construct validity evaluated using a confirmatory factor analysis revealed the refined AS-20 structure to be satisfactory. (4) The refined AS-20 can be used in clinical practice and research, but further validation is recommended.

Change in eating habits during the Spanish COVID-19 pandemic lockdown: evidence for a sample of university community.

The stress and anxiety caused by COVID-19 lockdown may have changed the eating habits of the population. Our aim is to assess the eating changes that have taken place due to the pandemic. Data were collected through an electronic survey created by the Health Economics Research Group of the University of Cantabria and IDIVAL and conducted between 14/01/2021 and 19/02/2021. A total of 1,417 responses were recorded, but only 507 complete observations were considered. We carried out a cross-sectional analysis through ordered probit regressions. The improvement in post-confinement eating habits is associated with higher income level, better self-assessed health status and more physical activity. The worsening of eating habits is associated with having a certain level of nomophobia or the fear of contagion. Our analysis can be used for designing and implementing new strategies to overcome the negative spill overs of the COVID-19 pandemic and improve the dietary patterns.

Diversity, equity, and inclusion in clinical trials: A practical guide from the perspective of a trial sponsor

BackgroundConsidering diversity, equity, and inclusion (DEI) in clinical trials ensures that data collected for investigational treatments reflect the populations most likely to benefit from those therapies. Resources and recommendations regarding DEI were assembled by the trial sponsor to assist clinical trial development. MethodsA cross-disciplinary team from the sponsoring organization was assembled to inform trial planning and collate resources that promote DEI throughout the clinical trial life cycle. ResultsRepresentatives from clinical operations, health economic outcomes research, medical affairs, patient advocacy, procurement, and research and development functional groups united together to implement DEI strategies in clinical trials. Planning strategies focus on eligibility, participant/patient engagement, feedback through patient advocacy organizations, and community interactions. Informed site, investigator, and vendor selection at trial startup supports efforts to recruit diverse target trial populations and engage underrepresented businesses; establishing relationships and demographic target-goal tracking should be maintained throughout trial management. Continued communication during trial closeout consolidates learnings and enhances partnerships with trial participants and patient advocacy organizations. The sponsoring organization continuously updates an internal library of resources to facilitate implementation of outlined strategies. ConclusionsThis first iteration of guidance intends to improve the representation of target populations who will ultimately benefit from investigational therapies; to assist sponsor clinical trial teams in developing recruitment and retention plans; and to ensure compliance with federal granting agencies. The sponsoring organization anticipates data from future clinical trials will help characterize the impact of these initiatives to ensure evidence-based practices are used in future clinical trials to enhance DEI.

A Retrospective, Nested Case-Control Study to Develop a Biomarker-Based Model for ARDS Diagnostics

Several biomarkers could be intercalated with traditional measures to improve ARDS diagnostics. There were 211 ICU patients enrolled in this retrospective, nested case-control study. Participants were divided into an ARDS (n = 79) and non-ARDS (n = 132) groups, according to the Berlin criteria. Patient characteristics, vital signs, and laboratory tests were collected within three hours of admission. CC16, Ang-2, sRAGE, HMGB1, and SPD were measured within three hours and again at 24 hours, after admission to ICU. Receiver Operating Characteristic curves and multivariate logistic regression analyses were applied for predictive purposes. C-reactive protein (CRP), NT-proBNP, and pH values were intercalated with five established ARDS indicators, and the PaO2/FiO2 ratio. Only four potential indicators were analyzed, with CRP having high diagnostic value. Areas under curve (AUC) were as follows: CC16 (AUC: 0.752; 95% CI 0.680 - 0.824), Ang-2 (AUC: 0.695; 95% CI 0.620 - 0.770), HMGB1 (AUC: 0.668; 95% CI 0.592 - 0.744), sRAGE (AUC: 0.665; 95% CI 0.588 - 0.743), CRP (AUC: 0.701; 95% CI 0.627 - 0.776). No single indicator improved upon the PaO2/FiO2 ratio which had an AUC: 0.844 (95% CI 0.789 - 0.898). However, when the binary logistic model was transformed and the model was constructed, the AUC increased from 0.647 (95% CI 0.568 - 0.726) to 0.911 (95% CI 0.864 - 0.946). Among the combinations tested, PaO2/FiO2 + CRP + Ang-2 + CC16 + HMGB1 resulted in the highest AUC of 0.910 (95% CI 0.863 - 0.945), although there are other factors which must be considered. A combination of biomarkers could enhance ARDS diagnostics, which has obvious ramifications for patient care and prognosis. It may be possible to develop a predictive ARDS nomogram; however, of the combinations tested here, we tentatively recommend PaO2/FiO2 + CRP + Ang-2 + CC16 + HMGB1. This is because of the cost implications in contrast with benefit involved in utilizing the more elaborate model. Further health economics research is required to consider the opportunity cost for emergency care policy.

Curator – A data curation tool for clinical real-world evidence

ObjectiveThis research aims to establish an efficient, systematic, reproducible, and transparent solution for advanced curation of real-world data, which are highly complex and represent an invaluable source of information for academia and industry. Materials and methodsWe propose a novel software solution that splits the statistical analytical pipeline into two phases. The first phase is implemented through Curator, which performs data engineering and data modelling on deidentified real-world data to achieve advanced curation and provides selected information ready to be analyzed in the second phase by statistical packages. Curator is made of a suite of Python programs and uses MySQL as its database management system. Curator has been utilised with several UK primary and secondary care data sources. ResultsCurator has been used in 25 completed clinical and health economics research studies. Their output has been published in 2 NIHR-funded reports and 33 prestigious international peer-reviewed journals and presented at 38 global conferences. Curator has consistently reduced research time and costs by over 36% and made research more reproducible and transparent. DiscussionCurator fits in well with recent UK governmental guidelines that recognise health data curation as a complex standalone technical challenge. Curator has been used extensively on UK real-world data and can handle several linked datasets. However, for Curator to be accessed by a wider audience, it needs to become more user-friendly. ConclusionCurator has proven to be a cost-effective and trustworthy data curation tool, which should be developed further and made available to third parties.

Examining the Determinants of COVID-19 Severity: A Cohort Study in Morocco of 915 Patients.

Coronavirus disease 2019 (COVID-19) is unpredictable and it varies from mild to severe and critical forms that are associated with a higher mortality rate. Risk factors associated with severe forms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been investigated worldwide. We aimed to evaluate the clinical course of severe COVID-19 patients and to compare them with the non-severe patients concerning clinical and epidemiological characteristics, biological parameters and outcomes and thus, highlight the factors associated with severe forms of COVID-19 in our country. This is a single-center, ambidirectional cohort study, conducted in Tangier's COVID-19 care premises. We included diagnosed COVID-19 patients between August 2020 and October 2021. Sampling was performed through stratification according to clinical forms. All patients were followed-up throughout disease evolution, until remission for mild to moderate forms and 30 days after discharge for hospitalized patient's group (severe to critical forms). Data were collected using the WHO International Severe Acute Respiratory and Emerging Infection (ISARIC) case report form (CRF) and extracted from medical records alongside with interviews with patients and their relatives. Among 915 included COVID-19 patients in Tangier, the non-severe group comprised 344 (37.6%) patients and the severe group comprised 571 (62.4%) patients. Some 514 were males (56.2%) and 401 were females (43.8%) and the mean age was 56.01 years (±16.76). The mean delay from onset of symptoms to diagnosis was 6.65 days ±4.68 in the severe group and 5.4 days ±4.57 in the non-severe group (p<0.001). Among the severe patient's group, 230 (40.3%) patients were admitted to the resuscitation unit, 258 (45.2%) patients were deceased during hospitalization, 313 (54.8%) were discharged alive, and 16 deaths occurred after discharge. Demographic, clinical, and biological characteristics showed significant differences between non-severe group and severe group. Multivariable logistic regression analysis showed increased odds of severity with male gender (adjusted odds ratio, aOR=2.91, p<0.003), age over 65 years old (aOR=2.68, p<0.001), diabetes (aOR=2.18, p<0.03), elevated D-dimers(>1 mg/mL) (aOR=6.09, p<0.001), superinfection (aOR=3.78, p<0.001), and baseline lymphopenia < 1000c/mm3 (aOR=8.66, p<0.001). The high-risk factors for developing severe COVID-19 are age > 65 years, male gender, diabetes, elevated D-dimers, baseline lymphopenia, and superinfection. To predict severe and fatal COVID-19, factors identified may be used in the development of prediction tools for COVID-19 prognosis and risk stratification. Recalling the importance of considering at-risk populations, the management of epidemics must be planned in conjunction with the specificity of each community. Findings from our study may serve for health economic analyses and research in order to assist public health decisions in the future and should be integrated into health emergency preparedness and response strategies ensuring a resilient health system.