Zeinab Mohammadi-Raigani, Hamid Gholami, Aliakbar Mohamadifar, Aliakbar Nazari Samani, Biswajeet Pradhan
Using an interpretable deep learning model for the prediction of riverine suspended sediment load
Environmental science and pollution research international
general practitioners gps vital role reaching vulnerable populations covid19 pandemic nonetheless experience many challenges fulfill role study aimed examine associations practice characteristics patient population characteristics extent deprivation practice area one hand level outreach work performed primary care practices pcps covid19 pandemic hand belgian data international pricov19 study analyzed data collected december 2020 august 2021 using online survey pcps practices recruited randomized convenience sampling descriptive statistics ordinal logistic regression analyses performed four survey questions related outreach work constitute outcome variable adjusted models included four practice characteristics practice type teaching practice gp trainees presence nurse nurse assistant presence social worker health promotor two patient population characteristics social vulnerability medical complexity area deprivation index data 462 respondents included first factors significantly associated outreach work pcps type pcp gps working group performing outreach work presence nurse assistant social worker health promotor second extent outreach work done pcp significantly associated social vulnerability practices patient population social vulnerability factor affecting outreach work differed level medical complexity practices patient population level deprivation municipality practice situated study outreach work pcps covid19 pandemic facilitated grouptype cooperation gps support least one staff member disciplines nursing social work health promotion findings suggest improving effectiveness outreach efforts pcps requires addressing organizational factors practice level applies particular pcps socially vulnerable patient population