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Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

People with dementia should also have at least one chronic comorbidity, such as hypertension, diabetes, depression, and anxiety, among others. Carers: people who are formal or informal carers, including family members that are responsible for taking care of the people with dementia. They need to have been with the people with dementia in the process of diagnosis and management and are self-recognized as carers of the people with dementia.

Maria Lazo-Porras, Francisco Jose Tateishi-Serruto, Christopher Butler, María Sofía Cuba-Fuentes, Daniela Rossini-Vilchez, Silvana Perez-Leon, Miriam Lúcar-Flores, J Jaime Miranda, Antonio Bernabe-Ortiz, Francisco Diez-Canseco, Graham Moore, Filipa Landeiro, Maria Kathia Cardenas, Juan Carlos Vera Tudela, Lee White, Rafael A Calvo, William Whiteley, Jemma Hawkins, IMPACT Salud Study Group

JMIR Res Protoc 2025;14:e60296

Interpreting the Influence of Using Blood Donor Residual Samples for SARS-CoV-2 Seroprevalence Studies in Japan: Cross-Sectional Survey Study

Interpreting the Influence of Using Blood Donor Residual Samples for SARS-CoV-2 Seroprevalence Studies in Japan: Cross-Sectional Survey Study

The definitions for COVID-19 vaccination, blood donation, and comorbidity are provided in Multimedia Appendix 1. A binary variable was created from medical history records to identify comorbidities that rendered participants ineligible for blood donation and medically unable to receive the COVID-19 vaccine (see Multimedia Appendix 2).

Ryo Kinoshita, Sho Miyamoto, Tadaki Suzuki, Motoi Suzuki, Daisuke Yoneoka

JMIR Public Health Surveill 2025;11:e60467

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

An alternative to the PS in this context is the disease risk score (DRS), also called a confounder score, prognostic score, comorbidity score, or simply a risk score [1-9]. A DRS can combine covariates into a single score that reflects their associations with the outcome. However, if it is feasible to make a DRS that adjusts appropriately for the relevant covariates, it can be similarly feasible and appropriate to simply adjust for the covariates individually without first combining them into a DRS [1].

Elizabeth AK Rowley, Patrick K Mitchell, Duck-Hye Yang, Ned Lewis, Brian E Dixon, Gabriela Vazquez-Benitez, William F Fadel, Inih J Essien, Allison L Naleway, Edward Stenehjem, Toan C Ong, Manjusha Gaglani, Karthik Natarajan, Peter Embi, Ryan E Wiegand, Ruth Link-Gelles, Mark W Tenforde, Bruce Fireman

JMIR Form Res 2025;9:e58981

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

Reference 2: Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Reference 9: Depression and pain comorbidity: A literature reviewcomorbidity

Dan Holley, Amanda Brooks, Matthew Hartz, Sudhir Rao, Thomas Zaubler

JMIR Mhealth Uhealth 2025;13:e52764

Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program

Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program

Epidemiological studies consistently find that individuals with alcohol use disorder (AUD) experience an anxiety disorder at approximately double the rate found in the general population (“comorbidity”) [1]. Lending clinical importance to this observation is the elevated risk for relapse following AUD treatment found in the large subgroup of comorbid AUD treatment patients [2,3].

Linda Marie Rinehart, Justin Anker, Amanda Unruh, Nikki Degeneffe, Paul Thuras, Amie Norden, Lilly Hartnett, Matt Kushner

JMIR Form Res 2024;9:e62995

Introducing and Evaluating the Effectiveness of Online Cognitive Behavior Therapy for Gambling Disorder in Routine Addiction Care: Comparative Cohort Study

Introducing and Evaluating the Effectiveness of Online Cognitive Behavior Therapy for Gambling Disorder in Routine Addiction Care: Comparative Cohort Study

Third, GD is associated with high levels of psychiatric comorbidity [25]. In a meta-analysis, Dowling et al [26], found that 75% of treatment-seeking individuals with GD fulfilled an additional current Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) Axis 1 diagnosis, such as mood disorders, alcohol use disorders, anxiety disorders, and substance use disorders. Addressing this high prevalence of psychiatric comorbidity is a pressing treatment-related GD challenge.

Olof Molander, Anne H Berman, Miriam Jakobson, Mikael Gajecki, Hanna Hällström, Jonas Ramnerö, Johan Bjureberg, Per Carlbring, Philip Lindner

J Med Internet Res 2024;26:e54754

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Second, we incorporated comorbidity information and clinical laboratory data into our model. Comorbidity information reflects additional diseases or health issues that patients may develop during anesthesia induction and is a crucial component of anesthetic risk assessment. Clinical laboratory data includes physiological indicators and pathological characteristics, which enable a more comprehensive evaluation of anesthetic risk.

Feng-Fang Tsai, Yung-Chun Chang, Yu-Wen Chiu, Bor-Ching Sheu, Min-Huei Hsu, Huei-Ming Yeh

JMIR Form Res 2024;8:e54097