Colonia Population and Housing Estimation [dataset]

Colonias are small, under-represented communities often characterized by poor socioeconomic conditions. There are 142 HUD-designated colonias in southern New Mexico. There is a great need for information on colonias: government agencies and community planners want to improve infrastructure and allocate resources to serve colonia populations. As part of the effort to compile information about colonias, the UNM Bureau of Business and Economic Research (BBER) developed a technique for tabulating U.S. Census Bureau data for colonia geography. This article explains the technique, demonstrated by an estimated population and household count for the Rancho Grande colonia in Catron County. Location coordinates for 109 colonias provided by New Mexico State University. Ortho-photography images and Census Bureau block boundaries obtained through the UNM Resource Geographic Information System (RGIS) Program clearinghouse. Illustrated with an ortho-photograph map

Colonia Population Estimation

This slide presentation gives a brief overview and update of a Bureau of Business and Economic Research (BBER) project funded by the New Mexico Mortgage Finance Authority (MFA) to estimate the population of colonias in southern New Mexico. Colonias are small, poor communities with substandard infrastructure and typically have a Hispanic or immigrant population. Colonias are found in the four states bordering Mexico; BBER is using U.S. Dept. of Housing and Urban Development colonia guidelines by limiting its survey to those located within a 150-mile radius of the Mexican border. A study done by New Mexico State University in 2000 was used as a baseline for NM colonia locations. The project began in 2011 with an estimation of population according to 2010 Census blocks, expanded this year to include socioeconomic characteristics at the block group level according to 2006-2010 American Community Survey (ACS) estimates. The author briefly describes the population estimation process: using spatial analysis of orthophotograph images of housing units in the colonia areas, overlaid with census block maps to then tabulate the block population. For his example, the Pie Town colonia in Catron County is used. He then explains the differences between 2010 Census and ACS survey data, and describes the socioeconomic and housing characteristic estimation process. The limitations of ACS data are briefly discussed. Illustrated with data tables, maps, and orthophotographs

Recent Population Dynamics of New Mexico Nurses

This is the third and final study by BBER on the nursing population produced for the New Mexico Center for Nursing Excellence (NMCNE). The purpose of this project was to aid the NMCNE in projecting future nursing shortages and to advocate for needed increases in nursing education resources for New Mexico. Using New Mexico Board of Nursing license data, the author tracked the migration of registered nurses into and out of the state; retention and departure rates of NM nurses were examined and analyzed. The author also examined the average age of NM nurses at graduation and obtaining their first license, as well as the average age of inmigrating nurses obtaining their first NM nursing license

Status of Nurses in New Mexico

The New Mexico Center for Nursing Excellence commissioned BBER to conduct two studies on NMs nursing resources. This first study analyzed the current and projected nursing workforce. The study is in three parts: an examination of the mature RN workforce in 2001; trends associated with new entrants into the RN workforce since 1995; and an analysis of the economic and institutional factors that may constrain increasing the RN supply. The study concludes that NM is experiencing a more severe nursing shortage than most other U.S. states. Illustrated with tables and charts. Bibliography.\u2

Mid-May 2014 Apartment Survey Conducted for the New Mexico Mortgage Finance Authority

The UNM Bureau of Business and Economic Research (BBER) conducted a survey of apartment properties for the New Mexico Mortgage Finance Authority (MFA), with the objective of providing MFA with current market information for its databases. The survey started in May 2014, with non-response follow-up extending into mid-July. Data were collected through questionnaires received via the US postal service, e-mail, or SurveyMonkey; responses were received from 292 properties in 27 New Mexico counties, representing a total of 13,909 apartment units. Unit count, vacancy rate, and rent as of mid-May, along with the year the structure was built, were requested for apartment complexes with five or more units in communities outside of Albuquerque, Rio Rancho, and Santa Fe. Illustrated with tables and charts; sample survey materials included in an appendix

Economic Impacts of the Anticipated Non-Accreditation of Bernalillo County Levees

The Albuquerque Metropolitan Arroyo Flood Control Authority (AMAFCA) contracted the UNM Bureau of Business and Economic Research (BBER) to estimate the economic impact resulting from levees in Bernalillo County losing FEMA accreditation. The levees are not expected to meet FEMAs post Hurricane Katrina standards. BBER estimates the increased cost of flood insurance for parcels located in the floodplain will likely average about $5.5 million in the first year and$6.2 million a year thereafter. Part 1 of the study describes the current floodplain in Bernalillo County, calculates the net new floodplain, and estimates the increase in flood insurance costs in the new floodplain. Part 2 examines the impacts of development of the net new floodplain. Illustrated with color maps and tables.\u2

Comparison of choroidal vessel thickness in children and adult eyes by enhanced-depth imaging optical coherence tomography imaging

AIM: To evaluate choroidal thickness, medium choroidal vessel thickness (MCVT) and large choroidal vessel thickness (LCVT) in normal children and adult subjects. METHODS: Manual measurements of subfoveal choroidal thickness (SFCT), MCVT and LCVT at subfoveal and 750 μm nasal and temporal to fovea locations were completed on enhanced-depth imaging optical coherence tomography (EDI-OCT) scans of normal children and adult subjects. RESULTS: Fifty adult and fifty-seven child subjects were included in the study (including 80 adult and 103 child eyes). Mean (±SD) SFCT of adult and children eyes in the study was 309.3±95.7 μm and 279.3±50.4 μm respectively. SFCT and subfoveal MCVT in adult eyes were significantly more than children (P=0.01 and P≤0.0001 respectively). CONCLUSION: There is choroidal thickening with associated thickening of medium choroidal vessels in adults, suggesting that there is alteration in choroidal vasculature with ageing

The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data

Abstract Background This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU). Methods A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II). Results 12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25–1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26–1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4–5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1–3. Conclusions Being frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its “continuum” better and predict ICU outcome more accurately. Trial registration: Open Science Framework (OSF: https://osf.io/8buwk/ ). Graphical Abstrac