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  1. 116701
    “…Understanding how different HRSNs relate to different health outcomes can inform targeted, evidence-based policies, investments, and innovations to address HRSNs. …”
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    Association Between Self-reported Health-Related Social Needs and Acute Care Utilization Among Older Adults Enrolled in Medicare Advantage
  2. 116702
    “…These findings highlight that to increase the MDD intake in the region, policy makers and other stakeholders need to give prior attention to enhancing household wealth status, empowering women, and media exposure.…”
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    Determinants of Inadequate Minimum Dietary Diversity Intake Among Children Aged 6–23 Months in Sub-Saharan Africa: Pooled Prevalence and Multilevel Analysis of Demographic and Health Survey in 33 Sub-Saharan African Countries
  3. 116703
    “…OBJECTIVE: To examine changes in insurance coverage continuity for Medicaid enrollees who turned age 19 years before and after eligibility policy changes. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from the Massachusetts All-Payer Claims Database (2012 to 2016) to compare coverage for Medicaid beneficiaries turning age 19 years before and after Medicaid expansion. …”
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    Changes in Insurance Coverage Continuity After Affordable Care Act Expansion of Medicaid Eligibility for Young Adults With Low Income in Massachusetts
  4. 116704
    por Pople, Diane, Monk, Edward J M, Evans, Stephanie, Foulkes, Sarah, Islam, Jasmin, Wellington, Edgar, Atti, Ana, Hope, Russell, Robotham, Julie, Hopkins, Susan, Brown, Colin S, Hall, Victoria J, Adebiyi, Omoyeni, Adeboyeku, David, Aeron-Thomas, Jonnie, Aga, Masood, Agwuh, K, Ahmad, S, Akhtar, Talat, Akhtar, S, Aldridge, N, Al-Khafaji, Zehra’a, Allsop, Lynne, Ambalkar, Shrikant, Andrews, Nick, Arenas-Pinto, Alejandro, Ashby, Helen, Ashcroft, John, Ashton, Maxine, Auckland, Cressida, Bagary, Manny, Baillon, Sarah, Bain, Steve, Bakker, Philippa, Barbour, Lisa, Barnes, T, Bateman, Vhairi, Beekes, Mandy, Berry, L, Bhayani, Janki, Bishop, Jennifer, Bishop, Lisa, Black, Karen, Board, Sarah, Boss, David, Boulos, Angel, Boyd, G, Brake, Simon, Brand, Sarah, Broadley, Andrew, Brookes, Claire, Brooks, Tim, Brown, Alison, Brown, Kerryanne, Browne, D, Burns, Philippa, Burton, Ben, Butt, Georgina, Calbraith, Davina, Cameron, Euan, Chand, Meera, Chandrasekaran, Badrinathan, Charlett, Andre, Chaudhuri, Ray, Chawla, Anu, Chenoweth, H, Chitalia, Nihil, Cochrane, Alexandra, Coke, Louise, Cole, Michelle, Coles, Holly, Colton, James, Conneely, Joanna, Conneely, Paul, Corless, Claire, Corrigan, Dianne, Court, Kathryn, Cowley, Anna, Cowling, Peter, Cromey, Lisa, Crosby-Nwaobi, Roxanne, Crowe, Jane, D’Arcangelo, Silvia, Dave, Ananta, Dawson, Joy, de Lacy, Ellen, de Silva, Thushan, Del Rosario, Ismaelette, Democratis, Jane, Dhasmana, Devesh, Diaz, Stephanie, Dimmer, Allison, Ditchfield, Lisa, Dobbie, Laura, Doel, Allison, Donaghy, Tracy, Duff, Christopher, Dytmer, David, Easom, Nicholas, Edgar, Joanne, Edmunds, Tracy, Elliott, John, Ellis, Yvette, Elumogo, Ngozi, Kirby, Eve Etell, Faris, Barzo, Favager, Clair, Finlayson, Lauren, Ford, Christine, Fowler, Susan, Fowles-Gutierrez, Nabila, Fraile, Eva, Frieslick, Joan, Froude, Susannah, Gallagher, Eileen, Galliford, Joanne, Game, F, Geen, John, Gibson, Hannah, Giles, J, Goldberg, David, Goodwin, Jayne, Gormley, S, Gould, Imogen, Grant, Alison, Graves, Jennifer, Gray, Kim, Gray, Joanne, Gray, Katherine, Green, Marie, Greenwood, Susan, Guha, Simantee, Hacon, Christian, Halkes, Mathew, Hams, Steve, Hanison, Esther, Hanna, Elinor, Harbham, Pratap, Harman, Paula, Harris, Edward, Harris, Penny, Harrison, G, Harvey, D, Harwood, J, Hatton, Jonathan, Hawkins, April, Hettiarachchi, Nipunadi, Hewson, Jacqueline, Higham, Andrew, Hinch, Sarah, Ho, Antonia, Hoad, Ina, Holliday, Kyra, Hollinshead, Kathryn, Holmes, Christopher, Horne, Stacey, Horsley, A, Houston, Angela, Howard, M, Howard, Joanne, Howcroft, Deborah, Howell, Kate, Huang, Y, Hudson, Karen, Hughes, Lauren, Insalata, Ferdinando, Irvine, Val, James, Kate, Johnston, Frances, Johnstone, Helen, Jones, C, Jorgenson, Annelysse, Jory, Hannah, Joseph, Maya, Kalakonda, Nagesh, Kemsley, Philippa, Keogh, Siobhan, Kerrison, C, Khan, Shivani, Khanduri, Sheena, Khawam, Jameel, Kyffin, Robert, Larru, A, Latham, Scott, Laugharne, Richard, Lazarus, Rajeka, Lee, Mihye, Lester, Yvonne, Lewis, Kenisha, Lewis, T, Lewis, Tracy, Linley, Ezra, Long, Josie, Longfellow, Ruth, Loughrey, Clodagh, Luckas, Murray, Mackay, Shekoo, Mahabir, Natasha, Mahungu, Tabitha, Malcolm, Martin, Maseda, Diego, Matuluko, Ayo, Maxwell, V, McAdam, Clare, McCracken, Danielle, Mcwilliam, S, Meda, Manjula, Mercer, Pauline, Milligan, Iain, Mirfenderesky, Mariyam, Mistry, Raksha, Moody, A, Moran, Kelly, Jones, Caroline Mulvaney, Munro, Katie, Murphy, Michael, Nash, Maxine, Neill, Claire, Nimako, K, Norman, Chris, Norman, Chris, O’Connell, Anne-Marie, O'Kane, Maurice, O'Kelly, A, Omar, Zohra, Otter, Ashley, Paques, Kitty, Patel, Manish, Payne, B, Pegg, C, Penn, R, Pepper, Stacey, Pepperell, Justin, Pethick, James, Pickard, Graham, Piercy, Charlie, Planche, Tim, Plant, Aiden, Pothecary, Carla, Pottinger, G, Powell, James, Price, Lesley, Price, Cathy, Prince, Stephanie, Jones, Rowan Pritchard, Protaschik, Yuri, Qazzafi, Zaman, Rajgopal, A, Ramsay, Mary, Reeks, Chloe, Reynolds, T, Richardson, Lisa, Ridley, P, Roberts, Julia, Robinson, L, Rodger, Alison, Roebuck, Alun, Rokakis, Anna, Rowe, Cathy, Roynon, Anna, Russell, J, Sach, Lauren, Saei, Ayoub, Sajedi, Noshin, Semper, Amanda, Sergenson, Nicola, Severn, Abigail, Shah, A, Shipman, K, Shorten, Robert, Sierra, R, Sinclair, Janet, Sinclair, Catherine, Sinclair, Aaran, Sovriarova, Helena, Stafford, Claire, Stevens, Guy, Stewart, B, Strong-Sheldrake, Sophia, SubhroOsuji, Banerjee, Szewczyk, Mags, Tarr, Esther, Taylor-Kerr, Andrew, Tazzyman, Simon, Telfer, Andrew, Temple-Purcell, Rebecca, Templeton, Kate, Thomas, Claire, Thompson, Catherine, Thompson, Fiona, Tilley, R, Timeyin, Jean, Todd, Anne, Tomlinson, Johanne, Tonge, Simon, Tranquillini, Caio, Trinick, Tom, Tyson, Linda, Vasant, Julia, Vilimiene, Neringa, Walker, Lynne, Ward, Emma, Warren, Simon, Watson, Ekaterina, Watt, A, Weir, Jennifer, Westwell, Fran, Whileman, Amanda, White, Nikki, Wilkinson, Beverly, Williams, Claire, Williams, M, Willshaw, Stephanie, Wilson-Davies, E, Winchester, Stephen, Wiselka, Martin, Wong, N, Woolcook, Megan, Wycherley, Diane, Young, Charlotte, Zambon, Maria, Zheng, Qi
    Publicado 2022
    “…The findings also highlight occupational risk factors that persisted in healthcare workers despite vaccine rollout; a greater understanding of the transmission dynamics responsible for these is needed to help to optimise the infection prevention and control policies that protect healthcare workers from infection and therefore to support staffing levels and maintain healthcare provision. …”
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    Burden of SARS-CoV-2 infection in healthcare workers during second wave in England and impact of vaccines: prospective multicentre cohort study (SIREN) and mathematical model
  5. 116705
    por Zych, Izabela, Nasaescu, Elena
    Publicado 2022
    “…AUTHORS' CONCLUSIONS: Although causal relations between family‐related risk and protective factors could not be established, it is reasonable to suggest that policies and practice should aim at decreasing family‐related risks and increasing protective factors for radicalization. …”
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    Is radicalization a family issue? A systematic review of family‐related risk and protective factors, consequences, and interventions against radicalization
  6. 116706
    “…Future studies could use rigorous methods to explore its effects on supporting changes in both blood pressure and hypertension-related health behaviors to inform recommendations for policy making and service provision. TRIAL REGISTRATION: PROSPERO CRD42019136158; https://www.crd.york.ac.uk/prospero/display_record.php?…”
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    The Association Between Smartphone App–Based Self-monitoring of Hypertension-Related Behaviors and Reductions in High Blood Pressure: Systematic Review and Meta-analysis
  7. 116707
    “…DESIGN, SETTING, AND PARTICIPANTS: This repeated cross-sectional study used a difference-in-differences approach accounting for staggered policy adoption to assess the association of state opioid prescribing cap laws in the US from January 1, 2013, to December 31, 2019, with receipt of opioid prescriptions among children and adolescents. …”
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    Association Between State Opioid Prescribing Cap Laws and Receipt of Opioid Prescriptions Among Children and Adolescents
  8. 116708
    “…Preventive measures, including awareness campaigns, regulating e-scooter availability, improving infrastructure, and implementing stricter helmet and alcohol policies, may prove effective for reducing injuries.…”
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    Characteristics of Electric Scooter and Bicycle Injuries After Introduction of Electric Scooter Rentals in Oslo, Norway
  9. 116709
    “…Therefore, their population’s preferences for initial diagnosis were compared to provide policy and clinical insights. OBJECTIVE: We aim to quantify and compare the public’s preferences for medical management of fever and the attributes of initial diagnosis in the case of presenting symptoms during the COVID-19 pandemic in China and the United States. …”
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    Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching
  10. 116710
    “…To prevent the long-term adverse outcomes of the anaemia in children, policy makers should focus on improving uptake of the deworming and malaria prevention programs, promote preventive interventions and improve the education of women especially in families with very young children.…”
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    Prevalence and factors associated with anaemia in children aged 6–24 months living a high malaria transmission setting in Burundi
  11. 116711
    “…These findings provide nuanced targets for prevention and for public policies aimed at promoting women's safety in the work environment. …”
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    Risk factors for workplace sexual harassment and violence among a national cohort of women in Iceland: a cross-sectional study
  12. 116712
    “…These risk factors will have to be taken into account in our region in order to establish adequate health policies and programs to improve antimicrobial stewardship.…”
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    Carbapenem-resistant Enterobacteriaceae bloodstream infections: A case-control study from a pediatric referral hospital in Argentina
  13. 116713
    “…Possible explanations for this low burden include epidemiological disparities, under-reporting (due to limited testing), climatic factors, population structure, and government policy initiatives. In this study, we formulate a model framework consisting of a basic model (in which only susceptible individuals are vaccinated), a vaccine-structured model, and a hybrid vaccine-age-structured model to assess the dynamics of COVID-19 in West Africa (WA). …”
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    The impact of age structure and vaccine prioritization on COVID-19 in West Africa
  14. 116714
    “…Policymakers need to tighten climate mitigation policies tailored to local conditions while enhancing climate resilience technically and infrastructurally, especially for vulnerable elderly people. …”
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    Projections of heatwave-attributable mortality under climate change and future population scenarios in China
  15. 116715
    “…BRICS and other high-burden countries should strengthen specified public health approaches and policies targeted at different priority groups in each country. …”
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    Time trends in tuberculosis mortality across the BRICS: an age-period-cohort analysis for the GBD 2019
  16. 116716
    “…CONCLUSIONS: The prevalence of cryptococcosis should not be neglected among asymptomatic PLHIV in the DRC, to meaning that screening and preventive treatment measures should be integrated into the national policy for HIV management and related diseases. For the rest of the analyses still in progress, conclusions can only be drawn once they have been fully finalized.…”
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    P461 Cryptococcosis screening and isolates characterization in asymptomatic people living with HIV in Kinshasa, DRC
  17. 116717
    “…In two essential strategies of the integrated SETPG (A + I) RD + APT model, comparing the cumulative number of screenings in derivative experiments based on daily detection capability and tracking system application rate, we evaluated the performance of the timespan required for the basic regeneration number (R0) and real-time regeneration number (R0t) to reach 1; the optimal policy of each experiment is available, and the screening effect is evaluated by screening performance indicators. with the binary encoding screening method, the number of screenings for the target population is 8667 in HK and 1,803,400 in the U.S., including 6067 asymptomatic cases in HK and 1,262,380 in the U.S. as well as 2599 cases of mild symptoms in HK and 541,020 in the U.S.; there were also 8.25 days of screening timespan in HK and 9.25 days of screening timespan required in the U.S. and a daily detectability of 625,000 cases in HK and 6,050,000 cases in the U.S. …”
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    All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing
  18. 116718
    “…Clin Rheumatol. 2014; 33(9):1289–1294. The implication to policy, practice, research and advocacy It is important to ensure that children with juvenile idiopathic arthritis are receiving appr…”
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    06 Flat foot impairs physical activity in children with juvenile idiopathic arthritis
  19. 116719
    “…The poorer prognosis for nodular and acral lentiginous melanomas, more frequent in Asia and Latin America, suggests the need for health policies aimed at specific populations to improve awareness, early diagnosis and access to treatment. …”
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    Does the morphology of cutaneous melanoma help to explain the international differences in survival? Results from 1 578 482 adults diagnosed during 2000–2014 in 59 countries (CONCORD‐3)
  20. 116720
    “…During the COVID-19 pandemic, Black vs White disparities persisted with no signs of widening gaps, whereas Hispanic vs White disparities were exacerbated. Policy reforms on reducing residential segregation or combating the corresponding structural racism are warranted to help improve maternal health.…”
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    Analysis of Residential Segregation and Racial and Ethnic Disparities in Severe Maternal Morbidity Before and During the COVID-19 Pandemic
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