Use of the Nutrition Screening Initiative to Target and Guide Nutrition Education Efforts in Nevada

Benedict, Jason; Wilson, D.I.; Snow, Gwenn; Tyler, Priscilla; Remig, Valentina; Dodds, Mary L.; Leontos, Carolyn; Read, Marsha

doi:10.1016/s0002-8223(95)00685-0

Cited by 7 publications

(10 citation statements)

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“…The current results are similar to those reported from convenience samples (Phillips and Read, 1997;Spangler and Eigenbrod, 1995) and from congregate meal (CM) participants (Stouder and Spangler, 1996). Two statewide screenings of elderly nutrition program (ENP) participants found slightly fewer at low nutritional risk41-45% (Vailis and Nitzke, 1995;Benedict et al, 1995); while one found slightly more-57% (Rood et al, 1996). Thus, our study falls somewhere in the middle.…”

supporting

confidence: 87%

“…These same high-risk areas were common among subjects in previous studies (Benedict et al, 1995;Rood et al, 1996;Melnik et al, 1994;Spangler and Eigenbrod, 1995;Stouder and Spangler, 1996;Vailas and Nitzke, 1995;Vailas et al, 1998). Less than 5% of the current study's participants reported having the following risk factors:…”

supporting

confidence: 62%

“…This is a much higher percentage than in most previous reports (Posner et al, 1993;Vailis and Nitzke, 1995;Benedict et al, 1995;Rood et al, 1996;Phillips and Read, 1997). The high percentage of moderate risk in the current study can be explained by the low proportion of those with high nutritional risk-only 7.2%.…”

mentioning

confidence: 51%

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The Ability of the DETERMINE Checklist to Predict Dietary Intake of White, Rural, Elderly, Community-Dwelling Women

Brunt

Schäfer

Oakland

1999

Journal of Nutrition For the Elderly

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Using a stratified random sample of 249 older rural community-dwclling women, this study evaluated the ability of the DETERMINE checklist to identify those with at-risk dietary intakes. A modified DETERMINE checklist found 7% and 42% of the sample to be at high and moderate nutrition risk respectively. Dietary analysis of the semi-quantitative food frcquency questionnairc found 93% of the women to be at-risk for at least one of cight key nutrients. Over onefourth were at-risk for four or more nutrients. Stepwisc logistic regression revealed that only three questions from thc DETERMINE checklist were predictivc of at-risk nutrient intake. Neither total DETERMINE checklist scorc, nor a score of 2 3 nor 2 6 was predictive of at-risk nutrient intake. [Article copies mailable for a fee from The Haworth Documetif Delivery Service: 1-800-342-9678. E-mail address: getiiifoo@haworth pressiizc.conlj c Websife: hlfp:llwww haworthpressiitc. coin > KEYWORDS. DETERMINE checklist, aged, food frequency, dietary intake, elderly women Ardith R. Brunt is a doctoral candidate at

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supporting

confidence: 87%

supporting

confidence: 62%

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The Ability of the DETERMINE Checklist to Predict Dietary Intake of White, Rural, Elderly, Community-Dwelling Women

Brunt

Schäfer

Oakland

1999

Journal of Nutrition For the Elderly

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“…Since this initial study (Posner et al, 1993), many states have used the DETERMINE checklist to screen participants in the elderly nutrition program (ENP) (Vailis and Nitzke, 1995;Benedict et al, 1995;Garofalo and Hynak-Hankinson, 1995;Rood et al, 1996). Other studies have focused on populations that are less likely to have high nutritional risk (Stouder and Spangler, 1996;Spangler and Eigenbrod, 1995).…”

Section: Introductionmentioning

confidence: 99%

Anthropometric Measures of Rural, Elderly, Community-Dwelling Women and the Ability of the DETERMINE Checklist to Predict These Measures

Brunt

Schäfer

Oakland

1999

Journal of Nutrition For the Elderly

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Using a stratified random sample o f 249 rural community-dwelling women, age 65 or oldcr, this study evaluated the predictability of the DETERMINE checklist to identify those with at-risk anthropometric measures. A modified DETERMINE checklist found 7% and 42% of the sample to he at high and modcrate nutrition risk respectively. Overall, stepwise logistic regression identified four DE-TERMINE chccklist questions that predicted at-risk anthropornetric measures: illness, weight change, poor fruit, vegetable or dairy intake, and difficulty shopping, cooking and feeding oneself. Weight change and illncss identified at-risk anthropometric measures in thc oldest-old, whereas poor fruit, vcgetable or dairy product consumption identified those with at-risk anthropometric measures in the young old. [Article copies uvuiluble for u fee from Tlie tluworlli Docwnetil Delivery Senice: 1-800-342-9675. Emuil address: ~etii/o~liuworlhpressiiicco,,l < Websile: h~~p:llwww. hu worlhpressiiic. con1 >]

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“…The Administration on Aging promoted the material, and federal funds were awarded for research on screening and interventions [12]. Some researchers found that the NSI instruments were particularly helpful for identifying those at risk and guiding educational interventions in a variety of settings [20][21][22]. The NSI instruments were and still are used nationally, and the DETERMINE Your Nutritional Health Checklist was reportedly used more than any other screening instrument for non-institutionalized, older adults [23].…”

Section: Progress In the 20 Years Since Nsimentioning

confidence: 99%

Nutrition as a Vital Sign: Progress Since the 1990 Multidisciplinary Nutrition Screening Initiative and Opportunities for Nursing

Farrell¹

2015

J Nurs Care

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Vital signs provide critical information about health and help form the baseline for clinical care. Twenty years ago, the Nutrition Screening Initiative posed nutrition screening as a vital sign for older Americans but this has still not occurred. Nursing is on the frontline for monitoring as well as working to improve nutrition intake in collaboration with dietitians and other healthcare professionals. This article describes the importance of malnutrition screening, key indicators of elder well-being, and how the older American population has changed in the last few decades. The article also chronicles the multidisciplinary Nutrition Screening Initiative, its accomplishments, challenges, and new developments including new screening data collection instruments and the frailty index. Other developments described are the Alliance to Advance Patient Nutrition's intervention framework and documentation of the economic value of nutrition intervention. Opportunities and next steps for nurses to help malnutrition screening become a vital sign are identified. These include the need to make malnutrition screening and intervention part of the core training for nurses. In the hospital setting, the Joint Commission requires that all patients be screened for malnutrition within 24 hours, however malnutrition interventions are often lacking. Thus another opportunity is for malnutrition measurement and documentation to be developed as a summative measure and included as part of the standardized nursing language, with a specific section in the Electronic Health Record. Becoming part of national health goals, such as the Healthy People 2020 objectives, is an additional important step for the evolution of malnutrition screening as a vital sign as is integrating malnutrition screening and intervention into healthcare incentives, including the Patient Protection and Affordable Care Act, transitions of care, and community intervention. Finally, committing funding for malnutrition screening, such as through reauthorization of the Older Americans Act, and gaining key learning from international experiences are important.

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Use of the Nutrition Screening Initiative to Target and Guide Nutrition Education Efforts in Nevada

Cited by 7 publications

References 0 publications

The Ability of the DETERMINE Checklist to Predict Dietary Intake of White, Rural, Elderly, Community-Dwelling Women

The Ability of the DETERMINE Checklist to Predict Dietary Intake of White, Rural, Elderly, Community-Dwelling Women

Anthropometric Measures of Rural, Elderly, Community-Dwelling Women and the Ability of the DETERMINE Checklist to Predict These Measures

Nutrition as a Vital Sign: Progress Since the 1990 Multidisciplinary Nutrition Screening Initiative and Opportunities for Nursing

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