BACKGROUND: HABITS for Life was a 3-year initiative to broadly deliver a statewide biometric and retinal screening program via a mobile unit throughout New Mexico at no charge to participants. The program goal-to identify health risk and improve population health status-was tested over a 3-year period. Value to participants and impact to the healthcare system were measured to quantify impact and value of investing in prevention at the community level. MATERIALS AND METHODS: We used the Mobile Health Map Return-on-Investment Calculator, a mobile screening unit, biometric screening, retinography, and community coordination. Our systems included satellite, DSL, and 3G connectivity, a Tanita® (Arlington Heights, IL) automated body mass index-measuring scale, the Cholestec® (Alere™, Waltham, MA) system for biomarkers and glycosylated hemoglobin, a Canon (Melville, NY) CR-1 Mark II camera, and the Picture Archiving Communication System. RESULTS: In this report for the fiscal year 2011 time frame, 6,426 individuals received biometric screening, and 5,219 received retinal screening. A 15:1 return on investment was calculated; this excluded retinal screening for the under-65 year olds, estimated at $10 million in quality-adjusted life years saved. Statistically significant improvement in health status evidenced by sequential screening included a decrease in total cholesterol level (p=0.002) (n=308) and an increase in high-density lipoprotein level after the first and second screening (p=0.02 and p=0.01, respectively), but a decrease in mean random glucose level was not statistically significant (p=0.62). Retinal results indicate 28.4% (n=1,482) with a positive/abnormal finding, of which 1.79% (n=93) required immediate referral for sight-threatening retinopathy and 27% (n=1,389) required follow-up of from 3 months to 1 year. CONCLUSIONS: Screening programs are cost-effective and provide value in preventive health efforts. Broad use of screening programs should be considered in healthcare redesign efforts. Community-based screening is an effective strategy to identify health risk, improve access, provide motivation to change health habits, and improve physical status while returning significant value.
BACKGROUND: HABITS for Life was a 3-year initiative to broadly deliver a statewide biometric and retinal screening program via a mobile unit throughout New Mexico at no charge to participants. The program goal-to identify health risk and improve population health status-was tested over a 3-year period. Value to participants and impact to the healthcare system were measured to quantify impact and value of investing in prevention at the community level. MATERIALS AND METHODS: We used the Mobile Health Map Return-on-Investment Calculator, a mobile screening unit, biometric screening, retinography, and community coordination. Our systems included satellite, DSL, and 3G connectivity, a Tanita® (Arlington Heights, IL) automated body mass index-measuring scale, the Cholestec® (Alere™, Waltham, MA) system for biomarkers and glycosylated hemoglobin, a Canon (Melville, NY) CR-1 Mark II camera, and the Picture Archiving Communication System. RESULTS: In this report for the fiscal year 2011 time frame, 6,426 individuals received biometric screening, and 5,219 received retinal screening. A 15:1 return on investment was calculated; this excluded retinal screening for the under-65 year olds, estimated at $10 million in quality-adjusted life years saved. Statistically significant improvement in health status evidenced by sequential screening included a decrease in total cholesterol level (p=0.002) (n=308) and an increase in high-density lipoprotein level after the first and second screening (p=0.02 and p=0.01, respectively), but a decrease in mean random glucose level was not statistically significant (p=0.62). Retinal results indicate 28.4% (n=1,482) with a positive/abnormal finding, of which 1.79% (n=93) required immediate referral for sight-threatening retinopathy and 27% (n=1,389) required follow-up of from 3 months to 1 year. CONCLUSIONS: Screening programs are cost-effective and provide value in preventive health efforts. Broad use of screening programs should be considered in healthcare redesign efforts. Community-based screening is an effective strategy to identify health risk, improve access, provide motivation to change health habits, and improve physical status while returning significant value.
Authors: Nancy E Oriol; Paul J Cote; Anthony P Vavasis; Jennifer Bennet; Darien Delorenzo; Philip Blanc; Isaac Kohane Journal: BMC Med Date: 2009-06-02 Impact factor: 8.775
Authors: Radia Zeghari; Rachid Guerchouche; Minh Tran Duc; François Bremond; Maria Pascale Lemoine; Vincent Bultingaire; Kai Langel; Zeger De Groote; Francis Kuhn; Emmanuelle Martin; Philippe Robert; Alexandra König Journal: Int J Environ Res Public Health Date: 2021-06-05 Impact factor: 3.390
Authors: Damien Dietrich; Ralitza Dekova; Stephan Davy; Guillaume Fahrni; Antoine Geissbühler Journal: J Med Internet Res Date: 2018-06-27 Impact factor: 5.428
Authors: Alica Sparling; Morgan Walls; Carlene A Mayfield; Jennifer S Priem; Jason Durham; Timothy Hetherington; Yhenneko J Taylor Journal: Med Care Date: 2022-01-01 Impact factor: 2.983
Authors: Nelson C Malone; Mollie M Williams; Mary C Smith Fawzi; Jennifer Bennet; Caterina Hill; Jeffrey N Katz; Nancy E Oriol Journal: Int J Equity Health Date: 2020-03-20