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1.

Background

There is increasing interest in using verbal autopsy to produce nationally representative population-level estimates of causes of death. However, the burden of processing a large quantity of surveys collected with paper and pencil has been a barrier to scaling up verbal autopsy surveillance. Direct electronic data capture has been used in other large-scale surveys and can be used in verbal autopsy as well, to reduce time and cost of going from collected data to actionable information.

Methods

We collected verbal autopsy interviews using paper and pencil and using electronic tablets at two sites, and measured the cost and time required to process the surveys for analysis. From these cost and time data, we extrapolated costs associated with conducting large-scale surveillance with verbal autopsy.

Results

We found that the median time between data collection and data entry for surveys collected on paper and pencil was approximately 3 months. For surveys collected on electronic tablets, this was less than 2 days. For small-scale surveys, we found that the upfront costs of purchasing electronic tablets was the primary cost and resulted in a higher total cost. For large-scale surveys, the costs associated with data entry exceeded the cost of the tablets, so electronic data capture provides both a quicker and cheaper method of data collection.

Conclusions

As countries increase verbal autopsy surveillance, it is important to consider the best way to design sustainable systems for data collection. Electronic data capture has the potential to greatly reduce the time and costs associated with data collection. For long-term, large-scale surveillance required by national vital statistical systems, electronic data capture reduces costs and allows data to be available sooner.
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2.

Background

In primary care surveillance systems based on voluntary participation, biased results may arise from the lack of representativeness of the monitored population and uncertainty regarding the population denominator, especially in health systems where patient registration is not required.

Methods

Based on the observation of a positive association between number of cases reported and number of consultations by the participating general practitioners (GPs), we define several weighted incidence estimators using external information on consultation volume in GPs. These estimators are applied to data reported in a French primary care surveillance system based on voluntary GPs (the Sentinelles network) for comparison.

Results

Depending on hypotheses for weight computations, relative changes in weekly national-level incidence estimates up to 3% for influenza, 6% for diarrhea, and 11% for varicella were observed. The use of consultation-weighted estimates led to bias reduction in the estimates. At the regional level (NUTS2 level - Nomenclature of Statistical Territorial Units Level 2), relative changes were even larger between incidence estimates, with changes between -40% and +55%. Using bias-reduced weights decreased variation in incidence between regions and increased spatial autocorrelation.

Conclusions

Post-stratification using external administrative data may improve incidence estimates in surveillance systems based on voluntary participation.
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3.

Aim

The Dutch Sentinel General Practice Network (SGPN) was founded in 1970 for disease surveillance in primary care, based on paper questionnaires. Advances in information technology offered new prospects of data collection from electronic health records (EHRs). This study investigates the resulting challenges for the SGPN and its transition towards electronic data collection.

Methods

A qualitative approach included triangulation of SGPN annual reports, network publications, its computerisation project protocol of 2004, public health policy documents, and expert interviews.

Results

In the 1990s, the design of the SGPN, coordinated by the research institute NIVEL, no longer corresponded to new Dutch government information demands regarding developments in primary care utilisation and quality. The emergence of the EHR-based Netherlands Information Network of General Practice (LINH) could have rendered the SGPN obsolete. However, NIVEL researchers recognised that routine EHR data on health problems could not fully provide required information obtained by questionnaires and samples for laboratory analysis. They developed a plan (1) taking EHR-based routine data collection as a basis, and (2) simultaneously retaining the more detailed supplementary data collection that was the core of the SGPN. The transition towards electronic data collection from 2005 onwards was followed by the integration of both networks into the NIVEL Primary Care Database in 2014.

Conclusion

The Dutch model is an example of a process responding to the challenges and opportunities associated with the emergence of electronic data collection, leading towards the integration of routine and supplementary data collection for both sentinel surveillance and health services research.
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4.

Background

Nutritional surveillance remains generally weak and early warning systems are needed in areas with high burden of acute under-nutrition. In order to enhance insight into nutritional surveillance, a community-based sentinel sites approach, known as the Listening Posts (LP) Project, was piloted in Burkina Faso by Action Contre la Faim (ACF). This paper presents ACF’s experience with the LP approach and investigates potential selection and observational biases.

Methods

Six primary sampling units (PSUs) were selected in each livelihood zone using the centric systematic area sampling methodology. In each PSU, 22 children aged between 6 and 24 months were selected by proximity sampling. The prevalence of GAM for each month from January 2011 to December 2013 was estimated using a Bayesian normal–normal conjugate analysis followed by PROBIT estimation. To validate the LP approach in detecting changes over time, the time trends of MUAC from LP and from five cross-sectional surveys were modelled using polynomial regression and compared by using a Wald test. The differences between prevalence estimates from the two data sources were used to assess selection and observational biases.

Results

The 95 % credible interval around GAM prevalence estimates using LP approach ranged between +6.5 %/?6.0 % on a prevalence of 36.1 % and +3.5 %/?2.9 % on a prevalence of 10.8 %. LP and cross-sectional surveys time trend models were well correlated (p = 0.6337). Although LP showed a slight but significant trend for GAM to decrease over time at a rate of ?0.26 %/visit, the prevalence estimates from the two data sources showed good agreement over a 3-year period.

Conclusions

The LP methodology has proved to be valid in following trends of GAM prevalence for a period of 3 years without selection bias. However, a slight observational bias was observed, requiring a periodical reselection of the sentinel sites. This kind of surveillance project is suited to use in areas with high burden of acute under-nutrition where early warning systems are strongly needed. Advocacy is necessary to develop sustainable nutrition surveillance system and to support the use of surveillance data in guiding nutritional programs.
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5.

Background

In recent decades, evidence-based practices (EBPs) have been broadly promoted in community behavioural health systems in the United States of America, yet reported EBP penetration rates remain low. Determining how to systematically sustain EBPs in complex, multi-level service systems has important implications for public health. This study examined factors impacting the sustainability of parent-child interaction therapy (PCIT) in large-scale initiatives in order to identify potential predictors of sustainment.

Methods

A mixed-methods approach to data collection was used. Qualitative interviews and quantitative surveys examining sustainability processes and outcomes were completed by participants from 12 large-scale initiatives.

Results

Sustainment strategies fell into nine categories, including infrastructure, training, marketing, integration and building partnerships. Strategies involving integration of PCIT into existing practices and quality monitoring predicted sustainment, while financing also emerged as a key factor.

Conclusions

The reported factors and strategies impacting sustainability varied across initiatives; however, integration into existing practices, monitoring quality and financing appear central to high levels of sustainability of PCIT in community-based systems. More detailed examination of the progression of specific activities related to these strategies may aide in identifying priorities to include in strategic planning of future large-scale initiatives.

Trial registration

ClinicalTrials.gov ID NCT02543359; Protocol number PRO12060529.
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6.

Objective

This study aimed to measure changes in nutrition risk and nutrient intake after older adults received home-delivered meals (HDM) for 3 months.

Design

This study used a pre-posttest study design, with data collected before and after 3 months of HDM services.

Setting

Two HDM programs that serve the metropolitan areas of Austin and San Antonio, Texas.

Participants

Study participants were aged 60 years or older, without dementia or terminal illness, and receiving HDM in Austin, Texas and San Antonio, Texas for 3 months.

Measurements

The Nutrition Screening Initiative (NSI) and Mini Nutrition Assessment-Short Form (MNA-SF) were used to assess nutritional risk. The National Cancer Institute Diet History Questionnaire II (DHQ II) was used to assess nutrient intake over the past month.

Results

After receiving 3 months of HDM, nutrition status significantly improved as measured by the NSI and MNA-SF. More participants met or exceeded the recommended dietary allowances (RDA) for magnesium and zinc after receiving HDM compared to before receiving HDM. Dietary supplement intake was associated with a higher nutritional risk.

Conclusion

Improvements in nutrition status were found after 3 months of receiving HDM, whereas intake of most nutrients did not change significantly. Results of this study provide further evidence that HDM can reduce nutritional risk of older adults, and may inform HDM programs on the differences of NSI and/or MNA-SF to assess nutritional risk of clients.
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7.

Background

Since 2002, the Norwegian Institute of Public Health has invited all hospitals and long-term care facilities for elderly (LTCFs) to participate in two annual point-prevalence surveys covering the most frequent types of healthcare-associated infections (HAIs). In a comprehensive evaluation we assessed how well the system operates to meet its objectives.

Methods

Surveillance protocols and the national database were reviewed. Data managers at national level, infection control practitioners and ward personnel in hospitals as well as contact persons in LTCFs involved in prevalence data collection were surveyed.

Results

The evaluation showed that the system was structurally simple, flexible and accepted by the key partners. On average 87% of hospitals and 32% of LTCFs participated in 2004-2008; high level of data completeness was achieved. The data collected described trends in the prevalence of reportable HAIs in Norway and informed policy makers. Local results were used in hospitals to implement targeted infection control measures and to argue for more resources to a greater extent than in LTCFs. Both the use of simplified Centers for Disease Control and Prevention (CDC) definitions and validity of data seemed problematic as compliance with the standard methodology were reportedly low.

Conclusions

The surveillance system provides important information on selected HAIs in Norway. The system is overall functional and well-established in hospitals, however, requires active promotion in LTCFs. Validity of data needs to be controlled in the participating institutions before reporting to the national level.
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8.
9.

Background

Health interview surveys are important data sources for empirical research in public health. However, the diversity of methods applied, such as in the mode of data collection, make it difficult to compare results across surveys, time, or countries. The aim of this study was to explore whether the prevalence rates of health-related indicators amongst adults differ when self-administered paper mail questionnaires (SAQ-Paper), self-administered web surveys (SAQ-Web), and computer-assisted telephone interviews (CATI) are used for data collection in a health survey.

Methods

Data were obtained from a population-based mixed-mode health interview survey of adults in Germany carried out within the ‘German Health Update’ (GEDA) study. Data were collected either by SAQ-Paper (n?=?746), SAQ-Web (n?=?414), or CATI (n?=?411). Predictive margins from logistic regression models were used to estimate the prevalence rates of chronic conditions, subjective health, mental health, psychosocial factors, and health behaviours, adjusted for the socio-demographic characteristics of each mode group.

Results

Socio-demographic characteristics were found to differ significantly between study participants who responded by SAQ-Paper, SAQ-Web, and CATI. Crude prevalence rates for health-related indicators also showed significant variation across all three survey modes. After adjusting for socio-demographic factors though, significant differences in prevalence rates between the two self-administered modes (SAQ-Paper and SAQ-Web) were found in only 2 out of the 19 health-related indicators studied. The differences between CATI and the two self-administered modes remained significant however, especially for indicators of mental and psychosocial health and self-reported sporting activity.

Conclusions

The findings of this study indicate that prevalence rates obtained from health interview surveys can vary with the mode of data collection, primarily between interviewer and self-administered modes. Hence, the type of survey mode used should be considered when comparing results from different health surveys. Mixing self-administered modes, such as paper-based questionnaires and web surveys, may be a combination to minimize mode differences in mixed-mode health interview surveys.
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10.

Background

Although measles mortality has declined dramatically in Sub-Saharan Africa, measles remains a major public health problem in countries like the Democratic Republic of Congo (DRC). Here, we describe the large measles epidemic that occurred in the Democratic Republic of Congo between 2010 and 2013 using data from the national surveillance system as well as vaccine coverage surveys to provide a snapshot of the epidemiology of measles in DRC.

Methods

Standardized national surveillance data were used to describe measles cases from 2010 to 2013. Attack rates and case fatality ratios were calculated and the temporal and spatial evolution of the epidemic described. Data on laboratory confirmation and vaccination coverage surveys as a part of routine program monitoring are also presented.

Findings

Between week 1 of 2010 and week 45 of 2013, a total of 294,455 cases and 5,045 deaths were reported. The cumulative attack rate (AR) was 0.4%. The Case Fatality Ratio (CFR) was 1.7% among cases reported in health structures through national surveillance. A total of 186,178 cases (63%) were under 5 years old, representing an estimated AR of 1.4% in this age group. Following the first mass vaccination campaigns, weekly reported cases decreased by 21.5%. Results of post-vaccination campaign coverage surveys indicated sub-optimal (under 95%) vaccination coverage among children surveyed.

Conclusions

The data reported here highlight the need to seek additional means to reinforce routine immunization as well as ensure the timely implementation of Supplementary Immunization Activities to prevent large and repeated measles epidemics in DRC. Although reactive campaigns were conducted in response to the epidemic, strategies to ensure that children are vaccinated in the routine system remains the foundation of measles control.
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11.

Background

The European Union acknowledges the relevance of registries as key instruments for developing rare disease (RD) clinical research, improving patient care and health service (HS) planning and funded the EPIRARE project to improve standardization and data comparability among patient registries and to support new registries and data collections.

Methods

A reference list of patient registry-based indicators has been prepared building on the work of previous EU projects and on the platform stakeholders’ information needs resulting from the EPIRARE surveys and consultations. The variables necessary to compute these indicators have been analysed for their scope and use and then organized in data domains.

Results

The reference indicators span from disease surveillance, to socio-economic burden, HS monitoring, research and product development, policy equity and effectiveness. The variables necessary to compute these reference indicators have been selected and, with the exception of more sophisticated indicators for research and clinical care quality, they can be collected as data elements common (CDE) to all rare diseases. They have been organized in data domains characterized by their contents and main goal and a limited set of mandatory data elements has been defined, which allows case notification independently of the physician or the health service.

Conclusions

The definition of a set of CDE for the European platform for RD patient registration is the first step in the promotion of the use of common tools for the collection of comparable data. The proposed organization of the CDE contributes to the completeness of case ascertainment, with the possible involvement of patients and patient associations in the registration process.
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12.

Objective

Chronic inflammation is linked to many chronic conditions. One of the strongest modulators of chronic inflammation is diet. The Dietary Inflammatory Index (DII) measures dietary inflammatory potential and has been validated previously, but not among African Americans (AAs).

Design

Cross-sectional analysis using baseline data from the Healthy Eating and Active Living in the Spirit (HEALS) intervention study.

Setting

Baseline data collection occurred between 2009 and 2012 in or near Columbia, SC.

Participants

African-American churchgoers.

Measurements

Baseline data collection included c-reactive protein (CRP) and interleukin-6 from blood draws, anthropometric measures, and numerous questionnaires. The questionnaires included a food frequency questionnaire which was used for DII calculation. The main analyses were performed using quantile regression.

Results

Subjects in the highest DII quartile (i.e., more pro-inflammatory) were younger, more likely to be married, and had less education and greater BMI. Individuals in DII quartile 4 had statistically significantly greater CRP at the 75th and 90th percentiles of CRP versus those in quartile 1 (i.e., more anti-inflammatory).

Conclusion

Construct validation provides support for using the DII in research among AA populations. Future research should explore avenues to promote more anti-inflammatory diets, with use of the DII, among AA populations to reduce risk of chronic disease.
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13.

Background

Prospective surveillance is a recognised approach for measuring death rates in humanitarian emergencies. However, there is limited evidence on how such surveillance should optimally be implemented and on how data are actually used by agencies. This case study investigates the implementation and utilisation of mortality surveillance data by Médecins Sans Frontières (MSF) in eastern Chad. We aimed to describe and analyse the community-based mortality surveillance system, trends in mortality data and the utilisation of these data to guide MSF’s operational response.

Methods

The case study included 5 MSF sites including 2 refugee camps and 3 camps for internally displaced persons (IDPs). Data were obtained through key informant interviews and systematic review of MSF operational reports from 2004–2008.

Results

Mortality data were collected using community health workers (CHWs). Mortality generally decreased progressively. In Farchana and Breidjing refugee camps, crude death rates (CDR) decreased from 0.9 deaths per 10,000 person-days in 2004 to 0.2 in 2008 and from 0.7 to 0.1, respectively. In Gassire, Ade and Kerfi IDP camps, CDR decreased from 0.4 to 0.04, 0.3 to 0.04 and 1.0 to 0.3. Death rates among children under 5 years (U5DR) followed similar trends. CDR and U5DR crossed emergency thresholds in one site, Kerfi, where CDR rapidly rose to 2.1 and U5DR to 7.9 in July 2008 before rapidly decreasing to below emergency levels by September 2008.

Discussion

Mortality data were used regularly to monitor population health status and on two occasions as a tool for advocacy. Lessons learned included the need for improved population estimates and standardized reporting procedures for improved data quality and dissemination; the importance of a simple and flexible model for data collection; and greater investment in supervising CHWs.

Conclusions

This model of community based mortality surveillance can be adapted and used by humanitarian agencies working in complex settings. Humanitarian organisations should however endeavour to disseminate routinely collected mortality data and improve utilisation of data for operational planning and evaluation. Accurate population estimation continues to be a challenge, limiting the accuracy of mortality estimates.
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14.

Objectives

To investigate the effect of a long-term fatty fish intervention on a pure cognitive mechanism important for self-regulation and mental health, i.e. working memory (WM), controlling for age and IQ.

Design

A randomized controlled trial.

Setting

A forensic facility.

Participants

Eighty-four young to middle aged male forensic inpatients with psychiatric disorders.

Intervention

Consumption of farmed salmon or control meal (meat) three times a week during 23 weeks.

Measurement

Performance on WM tasks, both accuracy and mean reaction time, were recorded pre and post intervention.

Results

Performance on a cognitive functioning tasks taxing WM seemed to be explained by age and IQ.

Conclusion

Fatty fish consumption did not improve WM performance in a group of young to middle aged adults with mental health problems, as less impressionable factors such as aging and intelligence seemed to be the key components. The present study improves the knowledge concerning the interaction among nutrition, health and the aging process.
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15.

Objectives

To examine the association between nutritional status and frailty in older adults.

Design

Cross-sectional study.

Setting

Community-dwelling older adults were recruited from 10 study sites in South Korea.

Participants

1473 volunteers aged 70–84 years without severe cognitive impairment and who participated in the Korean Frailty and Aging Cohort Study (KFACS) conducted in 2016.

Measurements

Nutritional status was measured using the Mini Nutritional Assessment Short Form (MNA-SF). Frailty was assessed with the Fried’s frailty index. The relationship between nutritional status and frailty was examined using the multinomial regression analysis, adjusting for covariates.

Results

Of the respondents 14.3% had poor nutrition (0.8% with malnutrition, 13.5% at risk of malnutrition). There were 10.7% who were frail, with 48.5% being prefrail, and 40.8% robust. Poor nutrition was related to a significantly increased risk of being prefrail (odds ratio [OR]: 1.59, 95% confidence interval [CI]: 1.09–2.32) and frail (OR: 3.30, 95% CI: 1.96–5.54).

Conclusion

Poor nutritional status is strongly associated with frailty in older adults. More research to understand the interdependency between nutritional status and frailty may lead to better management of the two geriatric conditions.
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16.

Objectives

To examine differences in hydroxycholecalciferol (25(OH)D) and parathyroid hormone (PTH) concentrations between Caucasian and African American (AA) postmenopausal women, as well as the effects of dietary calcium, protein and vitamin D intakes on 25(OH)D, PTH, and body adiposity using structural equation modeling (SEM).

Design

Population-based prospective cohort study.

Setting

Academic research using the baseline data from two longitudinal studies.

Participants

Included n=113 Caucasian and n=40 African American, postmenopausal women who completed the baseline data collection and met inclusion criteria (dietary calcium intake <900 mg/day and being generally healthy) between 2006 and 2010.

Main Outcome

Dietary intake of calcium and vitamin D, assessed by dietary records, were examined in relation to calcitropic hormones concentrations and adiposity markers. Independent t-tests, confirmatory factor analysis, SEM and multi-group analyses were conducted to examine the aforementioned relationships as well as group differences among hormones, dietary intake, anthropometrics, age and other factors.

Results

Dietary calcium and protein intakes were significantly lower in AA women. Years since menopause were significantly higher in AA compared to Caucasian women. PTH and 25(OH)D levels were significantly lower in AA compared to Caucasian women. Dietary calcium and protein intakes did not influence body adiposity in either group of women. Dietary vitamin D had minimal indirect (via 25(OH)D levels) influence on adiposity.

Conclusion

The study confirmed the positive relationship of 25(OH)D with adiposity markers and both AA and Caucasian women. The study provides a unique example of the use of SEM in nutrition research within a clinical context. This model should be further tested in other populations.
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17.

Background

Solomon Islands is one of the least developed countries in the world. Recognising that timely detection of outbreaks is needed to enable early and effective response to disease outbreaks, the Solomon Islands government introduced a simple syndromic surveillance system in 2011. We conducted the first evaluation of the system and the first exploration of a national experience within the broader multi-country Pacific Syndromic Surveillance System to determine if it is meeting its objectives and to identify opportunities for improvement.

Methods

We used a multi-method approach involving retrospective data collection and statistical analysis, modelling, qualitative research and observational methods.

Results

We found that the system was well accepted, highly relied upon and designed to account for contextual limitations. We found the syndromic algorithm used to identify outbreaks was moderately sensitive, detecting 11.8% (IQR: 6.3–25.0%), 21.3% (IQR: 10.3–36.8%), 27.5% (IQR: 12.8–52.3%) and 40.5% (IQR: 13.5–65.7%) of outbreaks that caused small, moderate, large and very large increases in case presentations to health facilities, respectively. The false alert rate was 10.8% (IQR: 4.8–24.5%). Rural coverage of the system was poor. Limited workforce, surveillance resourcing and other ‘upstream’ health system factors constrained performance.

Conclusions

The system has made a significant contribution to public health security in Solomon Islands, but remains insufficiently sensitive to detect small-moderate sized outbreaks and hence should not be relied upon as a stand-alone surveillance strategy. Rather, the system should sit within a complementary suite of early warning surveillance activities including event-based, in-patient- and laboratory-based surveillance methods. Future investments need to find a balance between actions to address the technical and systems issues that constrain performance while maintaining simplicity and hence sustainability.
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18.

Objectives

To (1) assess the association between dysphagia and malnutrition as well as other related factors and (2) investigate the nutritional interventions that are initiated in dysphagic older patients.

Design

Cross-sectional, multi-center point prevalence measurement.

Setting

53 Austrian hospitals.

Participants

3174 hospitalized patients, 65 years or older.

Measurements

A standardized and tested questionnaire was used for the data collection, which was based on both inspections of the patients and information documented in the patient chart. Medical diagnoses were assessed by referring to the International Classification of Diseases. Dysphagia was measured by asking the patient a dichotomous question. Several other data points were collected including: gender, age, number of diseases, malnutrition, care dependency scale (CDS) score and dependency during activities of daily living (ADL). To investigate the associations between dysphagia and malnutrition and other associated factors, cross tabulation, chi-squared test, t-test and Mann-Whitney U test were used.

Results

The prevalence of dysphagia among these patients was 7.6%. Dysphagia and malnutrition were significantly associated (< 0.001). Patients with dysphagia had statistically significant lower BMI values (p = 0.01), more medical diagnoses (p = 0.003) and were more care dependent (p < 0.001) than patients who did not suffer from dysphagia. The frequency of underlying respiratory diseases, dementia, nervous system disorders and cerebrovascular accidents also differed significantly between dysphagic and non-dysphagic patients. The following nutritional interventions were most frequently initiated in patients with dysphagia: provision of texturemodified food/fluid (32.2%), referral to a dietitian (31.4%), provision of an energy- and/or protein-enriched diet (27.3%), monitoring of nutritional intake (21.5%), enteral nutrition (19.4%) and provision of energy-enriched snacks (15.7%). 24% of patients received no nutritional interventions.

Conclusion

This study demonstrates that a very strong association exists between dysphagia and malnutrition as well as high levels of care dependency and dependency in activities of daily living. Nearly one-quarter of the patients did not receive any nutritional intervention. Therefore, a potential for the improvement of nutritional therapy in older dysphagic hospitalized patients still exists.
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19.
20.

Objectives

To determine the proportion of Residential Aged Care Facilities (RACFs) in Australia who use a nutrition screening tool on residents to identify those at risk of malnutrition, and to review practice following identification of residents as being at high risk of malnutrition.

Design

Multi-center, cross sectional observational study. Setting: Residential Aged Care Facilities.

Participants

The Director of Nursing at each site was contacted by telephone and asked questions relating to current nutrition screening practices at their residential aged care facility.

Measurements

Data was collected from a stratified sample of 229 residential aged care facilities in each state and territory in Australia.

Results

82% of RACFs (n = 188) use a nutrition screening tool on residents to identify those at risk of malnutrition, however only 52% of RACFs (n = 119) used a screening tool which is validated in the residential aged care setting. There was a significant association between facilities using a nutrition screening tool and the staff members being trained to conduct nutrition screening (p < 0.001). Facilities that employed a dietitian were more likely to use a validated nutrition screening tool (p < 0.005). The most frequently used nutrition screening tool was the ‘Mini Nutritional Assessment–Short Form (MNA-SF)’, which was used by 32% (n = 60) of the RACFs, followed by the ‘Malnutrition Universal Screening Tool (MUST)’ (15%, n = 29).

Conclusion

We found that the majority of RACFs in Australia use a nutrition screening tool, however many of these RACFs use a tool which has not been validated in the RACF setting. This study highlights the need for greater dietetic advocacy in using validated nutrition screening tools to ensure malnutrition is identified.
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