Patient preferences of the general public can be a proxy for “at risk” patients in a disease prevention context when ranks but not weights are of interest. #PREFERLegacy.

What are the costs and resource utilization associated with 3 approaches recommended by the American Academy of Pediatrics to identify early onset sepsis in infants >=35 wks gestational age?.@guanzgrace @joshi_ns @RebeccaDangMD @SalomonJA @dkowens.

Smoking history is a significant risk factor for #LungCancer, but what about never-smokers? This new study by @georgiabblack & colleagues sheds light on how clinicians make diagnostic decisions for this patient group.@lungsforliving @CallisterMat @QuaifeS.

Conditional question wording can produce overestimates of the relationship between perceived risk and intended prevention behavior. Cause for concern?.@jstrueder97 @jane_emiller @pwind44.

Key predictors of COVID-19 outbreaks included county-level measures of COVID-19, facility population, and the test positivity rate in a facility.

What happens when people face a new risk? This paper tracks how risk perceptions of COVID-19 changed over the first 18 months of the pandemic. @ksepucha @mghsdm @vavrek @dgsomucla @aaronrudkin @ucla @mgh.

RT @socmdm: SMDM announces GRANT (Grant Review And Networking for Trainees), a new quarterly program for members only. Learn more here: htt….

Significant differences in attribute importance were found when comparing DCE and SW. This may indicate that DCEs are more suitable as they force respondents to trade-off attributes which reflect real-world valuations.

Context matters. Stakeholders consider differences in patient casemix, quality of baseline care and research context to inform elicited adjustment of published interventions effects in a local setting.@jonkarnon @vaughn_eaton @SouthernAdlLHN @FlindersHMRI

Internationally, many studies have estimated quality of life for cardiovascular diseases since 2013. Unexplained heterogeneity raised methodological questions about choosing values for a UK context. @HealthEcon_MCR #healtheconomics #qualityoflife.

A new study develops and applies a framework for reducing bias in county-level estimates from the COVID-19 Trends and Impact Survey. @MarissaReitsma, @sherrirose, @capnrefsmmat, @SalomonJA @sc_cosmo, @PrevPolicy, @HPDSLab, @StanfordHP.

Both the SARIMA and ETS models provided similar forecasts, but measures of fit and expert knowledge gave a slight preference to the model in predicting the flow of blood donations in Zimbabwe.

Knowledge matters! Research reveals that only a small percentage of adults accurately assess the chances of surviving #CPR. Better understanding survival rates can influence end-of-life preferences. Let's promote informed decision-making. #InformedChoices .

RT @socmdm: Invite your peers to join us for our free webinar, "Introduction to MDM." What a great opportunity to get a taste for the field….

Including mortality statistics in communications decreased the perceived effectiveness of cancer screening and screening intentions. #fiveyearsurvivalrates #cancerscreening #perceivedeffectivenessofscreening.

Key digital health stakeholders seem unclear on how to value provider-facing technologies. This value framework is the first attempt to contribute towards that goal. @LSE_MTRG #digitalhealth #HTA #assessment.

RT @guanzgrace: In 2018, @AmerAcadPeds recommended three screening approaches to identify early onset sepsis in infants born at >= 35 weeks….

Patients and care partners used multifaceted reasoning in their assessment of diagnostic accuracy, including their perception of the process and whether the diagnosis matched other factual information they had. #mdm.

Patients with a strong desire for surgery were less likely to choose the use of a decision aid for orthopedic care of hip and knee osteoarthritis. @JesseJansen_ @jeroenbossen #caphri #maastrichtuniversity #decisionmaking.

Study finds integrating diabetes care in Nepal’s primary health system can reduce expenses and enhance quality. @dahal_pada #DiabetesNepal #HealthcareCosts #DiabetesCost.