Michael O Harhay
Biographic Data
| ID | 4339078 |
|---|---|
| NAME | Michael O Harhay |
| GIVEN NAMES | Michael |
| FAMILY NAME | O Harhay |
| SIGNATURE | HARHAY M O |
| AFFILIATIONS | University of Pennsylvania |
| ORCID | 0000-0002-0553-674X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models Extension
Introduction: Despite mounting evidence that the inclusion of race and ethnicity in clinical prediction models may contribute to health disparities, existing critical appraisal tools do not directly address such equity considerations. Objective: This study developed a critical appraisal tool extension to assess algorithmic bias in clinical prediction models. Methods: A modified e-Delphi approach was utilized to develop and obtain expert consensus…
Prediction models for diagnosis and prognosis of covid-19
Measuring and Analyzing Length of Stay in Critical Care Trials
BACKGROUND: In randomized clinical trials among critically ill patients, it is uncertain how choices regarding the measurement and analysis of nonmortal outcomes measured in terms of duration, such as intensive care unit (ICU) length of stay (LOS), affect studies' conclusions. OBJECTIVES: Assess the definitions and analytic methods used for ICU LOS analyses in published randomized clinical trials. RESEARCH DESIGN: This is a systematic review and …
Estimating the incidence of breast cancer in Africa
Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine †Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine ‡Leonard Davis Institute of Health Economics §Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA G.E.W. is supported by NIH T32 HL098054. M.O.H. declares no conflict of interest
Anthropometrically‐predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III)
Objective This study seeks to quantify the relationship between anthropometrically‐predicted visceral adipose tissue (apVAT) and all‐cause and cause‐specific mortality among individuals of European descent in a population‐based prospective cohort study of 10,624 participants. Methods The apVAT with a validated regression equation that included age, body mass index, and waist and thigh circumferences were predicted. Results During a median of 18.8…
Impact of primary health care on mortality from heart and cerebrovascular diseases in Brazil
OBJECTIVES: To evaluate the impact of Brazil's recently implemented Family Health Program (FHP), the largest primary health care programme in the world, on heart and cerebrovascular disease mortality across Brazil from 2000 to 2009. DESIGN: Ecological longitudinal design, evaluating the impact of FHP using negative binomial regression models for panel data with fixed effects specifications. SETTING: Nationwide analysis of data from Brazilian muni…
Prevalence and patterns of cooking dinner at home in the USA
Objective To measure the prevalence of cooking dinner at home in the USA and test whether home dinner preparation habits are associated with socio-economic status, race/ethnicity, country of birth and family structure. Design Cross-sectional analysis. The primary outcome, self-reported frequency of cooking dinner at home, was divided into three categories: 0–1 dinners cooked per week (‘never’), 2–5 (‘sometimes’) and 6–7 (‘always’). We used bivari…
Water Stress and Water Scarcity
Water scarcity is a result of an imbalance between the supply of and demand for water sources in a geographical area. A limited or inadequate water supply is one of the toughest issues facing the world's poorest countries, but the populations of these countries are not the only populations to endure the burden of water scarcity.1,2 As Levy and Sidel correctly point out, distribution in water-strained settings is the source of numerous conflicts g…
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Water Stress and Water Scarcity
Water scarcity is a result of an imbalance between the supply of and demand for water sources in a geographical area. A limited or inadequate water supply is one of the toughest issues facing the world's poorest countries, but the populations of these countries are not the only populations to endure the burden of water scarcity.1,2 As Levy and Sidel correctly point out, distribution in water-strained settings is the source of numerous conflicts g…
Impact of primary health care on mortality from heart and cerebrovascular diseases in Brazil
OBJECTIVES: To evaluate the impact of Brazil's recently implemented Family Health Program (FHP), the largest primary health care programme in the world, on heart and cerebrovascular disease mortality across Brazil from 2000 to 2009. DESIGN: Ecological longitudinal design, evaluating the impact of FHP using negative binomial regression models for panel data with fixed effects specifications. SETTING: Nationwide analysis of data from Brazilian muni…
Prevalence and patterns of cooking dinner at home in the USA
Objective To measure the prevalence of cooking dinner at home in the USA and test whether home dinner preparation habits are associated with socio-economic status, race/ethnicity, country of birth and family structure. Design Cross-sectional analysis. The primary outcome, self-reported frequency of cooking dinner at home, was divided into three categories: 0–1 dinners cooked per week (‘never’), 2–5 (‘sometimes’) and 6–7 (‘always’). We used bivari…
Anthropometrically‐predicted visceral adipose tissue and mortality among men and women in the third national health and nutrition examination survey (NHANES III)
Objective This study seeks to quantify the relationship between anthropometrically‐predicted visceral adipose tissue (apVAT) and all‐cause and cause‐specific mortality among individuals of European descent in a population‐based prospective cohort study of 10,624 participants. Methods The apVAT with a validated regression equation that included age, body mass index, and waist and thigh circumferences were predicted. Results During a median of 18.8…
Estimating the incidence of breast cancer in Africa
Incomplete Comparisons Between the Predictive Power of Data From Administrative Claims and Electronic Health Records
Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine †Department of Medicine, Palliative and Advanced Illness Research Center, Perelman School of Medicine ‡Leonard Davis Institute of Health Economics §Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA G.E.W. is supported by NIH T32 HL098054. M.O.H. declares no conflict of interest
Measuring and Analyzing Length of Stay in Critical Care Trials
BACKGROUND: In randomized clinical trials among critically ill patients, it is uncertain how choices regarding the measurement and analysis of nonmortal outcomes measured in terms of duration, such as intensive care unit (ICU) length of stay (LOS), affect studies' conclusions. OBJECTIVES: Assess the definitions and analytic methods used for ICU LOS analyses in published randomized clinical trials. RESEARCH DESIGN: This is a systematic review and …
Prediction models for diagnosis and prognosis of covid-19
Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models Extension
Introduction: Despite mounting evidence that the inclusion of race and ethnicity in clinical prediction models may contribute to health disparities, existing critical appraisal tools do not directly address such equity considerations. Objective: This study developed a critical appraisal tool extension to assess algorithmic bias in clinical prediction models. Methods: A modified e-Delphi approach was utilized to develop and obtain expert consensus…
Medicine (6 works) · Demography (4 works) · Environmental health (3 works) · Political science (3 works) · Population (3 works) · Confidence interval (2 works) · Emergency Medicine (2 works) · Ethnic group (2 works) · Health care (2 works) · Internal Medicine (2 works)