Evaluer les troubles de la marche des personnes âgées au cabinet [Assessment of gait disorders in older people]

Gait disorders are frequent and important to assess in older people because they provide unique diagnostic and prognostic information. Gait disorders can be regarded as a marker of frailty because they are associated with several adverse consequences, including falls, cognitive disorders, functional decline, institutionalization, hospitalization, and death. Using structured instruments, gait assessment could be performed in primary care practice to classify the level of sensorimotor deficit and provide the necessary information to decide how to best intervene to improve gait performances, prevent falls as well as functional decline.

A study compared nine patient-specific indices for musculoskeletal disorders.

BACKGROUND AND OBJECTIVE: Patient-specific quality of life indices show great potential, but certain conceptual and methodological concerns have yet to be fully addressed. The present study reviewed nine patient-specific instruments used in musculoskeletal disorders: the Canadian Occupational Performance Measure (COPM), Juvenile Arthritis Quality of life Questionnaire (JAQQ), McMaster-Toronto Arthritis questionnaire (MACTAR), Measure Yourself Medical Outcome Profile (MYMOP), Patient-Specific Index (PASI) for total hip arthroplasty, Problem Elicitation Technique (PET), Patient Generated Index (PGI) of quality of life, Patient-Specific Functional Scale (PSFS), and Schedule for the Evaluation of Individual Quality of Life (SEIQoL). STUDY DESIGN AND SETTING: Each tool was evaluated for purpose, content validity, face validity, feasibility, psychometric properties, and responsiveness. RESULTS: This critical appraisal revealed important differences in terms of the concept underlying these indices, the domains covered, the item-generation techniques and the scoring (response scale, methods) in each scale. The nine indices would generate different responses and likely scores for the same patient, despite the fact that they all include patient-generated items. CONCLUSION: Although the value of these indices in treatment planning and monitoring at an individual level is strong, more studies are needed to improve our understanding of how to interpret the numeric scores of patient-specific indices at both an individual and a group level.

Project Newsletter Iowa Public Health Tracking, December 2013

The IDPH Public Health Tracking Program is an excellent way to collect data related to various indicators for Iowans, but those looking for national statistics or data from other states may want to check out the Health Indicators Warehouse (healthindicators.gov). Run and maintained by the CDC’s National Center for Health Statistics, this site is a centralized source for national, state, and county data for a wide variety of indicators. The data is available to the public, and can be accessed either through the tables and charts directly on the website, or indicators can be downloaded to use in a spreadsheet. Once on the site, users are able to search for their desired data either by topic or geographic region. Filters can then be applied to the chosen field to narrow down the user’s search and obtain the preferred statistics. In addition, users are also able to search for indicators derived from state and federal health indicator initiatives: County Health Rankings, Community Health Status Indicators, Healthy People 2020, and CMS Community Indicators. The warehouse provides an overview of each indicator after the user has made their selection. This overview includes information on how the data was calculated and what characteristics are being represented. For example, percent of binge drinking adults is prefaced in the overview that data was based on the question: “Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men, 4 for women] or more drinks on an occasion?" Data is viewable either in the basic table format, chart format, or for some indicators it is possible to view it in terms of a national map. The Health Indicators Warehouse updates indicators as data becomes available, but the collection of years varies amongst the indicators. Nonetheless, this site is a useful resource to anyone looking for comparative indicators throughout the nation or is interested in one of the hundreds of indicators housed by the site. For more information or to check out what the warehouse has to offer visit: http://healthindicators.gov/

Nonlinear analysis of human physical activity patterns in health and disease.

The reliable and objective assessment of chronic disease state has been and still is a very significant challenge in clinical medicine. An essential feature of human behavior related to the health status, the functional capacity, and the quality of life is the physical activity during daily life. A common way to assess physical activity is to measure the quantity of body movement. Since human activity is controlled by various factors both extrinsic and intrinsic to the body, quantitative parameters only provide a partial assessment and do not allow for a clear distinction between normal and abnormal activity. In this paper, we propose a methodology for the analysis of human activity pattern based on the definition of different physical activity time series with the appropriate analysis methods. The temporal pattern of postures, movements, and transitions between postures was quantified using fractal analysis and symbolic dynamics statistics. The derived nonlinear metrics were able to discriminate patterns of daily activity generated from healthy and chronic pain states.

Project Newsletter Iowa Public Health Tracking, January 2014

The IDPH Public Health Tracking Program is an excellent way to collect data related to various indicators for Iowans, but those looking for national statistics or data from other states may want to check out the Health Indicators Warehouse (healthindicators.gov). Run and maintained by the CDC’s National Center for Health Statistics, this site is a centralized source for national, state, and county data for a wide variety of indicators. The data is available to the public, and can be accessed either through the tables and charts directly on the website, or indicators can be downloaded to use in a spreadsheet. Once on the site, users are able to search for their desired data either by topic or geographic region. Filters can then be applied to the chosen field to narrow down the user’s search and obtain the preferred statistics. In addition, users are also able to search for indicators derived from state and federal health indicator initiatives: County Health Rankings, Community Health Status Indicators, Healthy People 2020, and CMS Community Indicators. The warehouse provides an overview of each indicator after the user has made their selection. This overview includes information on how the data was calculated and what characteristics are being represented. For example, percent of binge drinking adults is prefaced in the overview that data was based on the question: “Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men, 4 for women] or more drinks on an occasion?" Data is viewable either in the basic table format, chart format, or for some indicators it is possible to view it in terms of a national map. The Health Indicators Warehouse updates indicators as data becomes available, but the collection of years varies amongst the indicators. Nonetheless, this site is a useful resource to anyone looking for comparative indicators throughout the nation or is interested in one of the hundreds of indicators housed by the site. For more information or to check out what the warehouse has to offer visit: http://healthindicators.gov/

Project Newsletter Iowa Public Health Tracking, February 2014

The IDPH Public Health Tracking Program is an excellent way to collect data related to various indicators for Iowans, but those looking for national statistics or data from other states may want to check out the Health Indicators Warehouse (healthindicators.gov). Run and maintained by the CDC’s National Center for Health Statistics, this site is a centralized source for national, state, and county data for a wide variety of indicators. The data is available to the public, and can be accessed either through the tables and charts directly on the website, or indicators can be downloaded to use in a spreadsheet. Once on the site, users are able to search for their desired data either by topic or geographic region. Filters can then be applied to the chosen field to narrow down the user’s search and obtain the preferred statistics. In addition, users are also able to search for indicators derived from state and federal health indicator initiatives: County Health Rankings, Community Health Status Indicators, Healthy People 2020, and CMS Community Indicators. The warehouse provides an overview of each indicator after the user has made their selection. This overview includes information on how the data was calculated and what characteristics are being represented. For example, percent of binge drinking adults is prefaced in the overview that data was based on the question: “Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men, 4 for women] or more drinks on an occasion?" Data is viewable either in the basic table format, chart format, or for some indicators it is possible to view it in terms of a national map. The Health Indicators Warehouse updates indicators as data becomes available, but the collection of years varies amongst the indicators. Nonetheless, this site is a useful resource to anyone looking for comparative indicators throughout the nation or is interested in one of the hundreds of indicators housed by the site. For more information or to check out what the warehouse has to offer visit: http://healthindicators.gov/

Self reported physical activity, public health, and perceived environment: results from a comparative European study

The focus of physical activity promotion is moving from methods for increasing health enhancing physical activity on the individual level to higher level strategies including environmental and policy approaches. Scientific inquiry, traditionally related to individual-based strategies, requires adaptation and refinement when environmental and policy changes become more relevant. The objective of this study is to investigate the significance for behaviour and health of community-based environments that encourage physical activity. DESIGN AND SETTING The article presents data and results from a cross sectional comparative survey of the general population in six European countries (Belgium, Finland, Germany (East and West), Netherlands, Spain, Switzerland). Specifically, the relation between perceived community-based opportunities for physical activity, self reported physical activity, and self rated health status is investigated. PARTICIPANTS Representative samples of general populations (adults 18 years or older). Overall response rate: 53.5%. Sample sizes realised: Belgium: n=389; Finland: n=400; Germany (East): n = 913; Germany (West): n=489; Netherlands: n=366; Spain: n=380; Switzerland: n=406. MAIN RESULTS Analyses show that best opportunities are reported by people who are lightly to moderately physically active. People's self rated health is moderately, but significantly associated with both perceived opportunities, and physical activity itself. These predictors interact in that especially for women, the health impact of physical activity is more pronounced in case of good opportunities. CONCLUSIONS The paper shows the potential of opportunities within residential and community environments with regard to physical activity, both for behaviour and health. Opportunities may enable the population, especially women, to develop an active lifestyle, and thus improve their health. Future studies with objective indicators for physical activity related environments should test the findings that are based on perceptions.

Project Newsletter Iowa Public Health Tracking, May 2014

The IDPH Public Health Tracking Program is an excellent way to collect data related to various indicators for Iowans, but those looking for national statistics or data from other states may want to check out the Health Indicators Warehouse (healthindicators.gov). Run and maintained by the CDC’s National Center for Health Statistics, this site is a centralized source for national, state, and county data for a wide variety of indicators. The data is available to the public, and can be accessed either through the tables and charts directly on the website, or indicators can be downloaded to use in a spreadsheet. Once on the site, users are able to search for their desired data either by topic or geographic region. Filters can then be applied to the chosen field to narrow down the user’s search and obtain the preferred statistics. In addition, users are also able to search for indicators derived from state and federal health indicator initiatives: County Health Rankings, Community Health Status Indicators, Healthy People 2020, and CMS Community Indicators. The warehouse provides an overview of each indicator after the user has made their selection. This overview includes information on how the data was calculated and what characteristics are being represented. For example, percent of binge drinking adults is prefaced in the overview that data was based on the question: “Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men, 4 for women] or more drinks on an occasion?" Data is viewable either in the basic table format, chart format, or for some indicators it is possible to view it in terms of a national map. The Health Indicators Warehouse updates indicators as data becomes available, but the collection of years varies amongst the indicators. Nonetheless, this site is a useful resource to anyone looking for comparative indicators throughout the nation or is interested in one of the hundreds of indicators housed by the site. For more information or to check out what the warehouse has to offer visit: http://healthindicators.gov/

Santé en milieu pénitentiaire: vulnérabilité partagée entre détenus et professionnels de la santé [Health in prison: shared vulnerability between detainees and health professionals]

In prison, the health professional has to take the sanitary needs of a temporary of chronically vulnerable population. His practice has to meet laws and recommendations, as well as the field reality and its numerous constraints. This puts him in a "shared vulnerability and stigmatization". He attempts to maintain or restore a health status in a deteriorating environment, at least psychologically. He is in the penitentiary world's eye which he depends upon in many ways to achieve his mandate. His activity is scarcely known and recognised by his peers from whom he can be very out of touch. To ensure a humanistic, efficient and equivalent-of-care practice, the health professional must rely on sound knowledge of general healthcare, ethics, deontology and medical laws. Basic and continuous training is a mainspring, like networking and development of federal recommendations.

La Generation Sandwich en Suisse Romande: mieux comprendre les facteurs associés avec la santé perçue afin de mieux agir en promotion de la santé [Sandwich Generation in Roman Switzerland : a better understanding of factors linked with perceived health for better acting in health promotion].

The so-called < Sandwich Generation > (SG) is characterized by concurrent and competing professional, familial, and informal caregiving workloads. These stressors pose potential health risks. However, the current knowledge about SG characteristics and perceived state of health are insufficient to allow occupational health nurses to develop evidence-based interventions designed for health promotion. We aimed to describe this population and examine the relationships between these coexisting workloads and their perceived health. This study is based on a descriptive, correlational design. Employees of a Swiss public administration completed an electronic questionnaire. Of 844 respondents, 23 % are SG members. Ages of frailed parents or parents-in-law, co-residence with the latters, children still living at home predict that employees could be members of the SG. Perceived physical health status of SG members is rated better than mental health status. The heterogeneity of SG is reflected in three clusters. Finally, physical health score is the only that differs from the other health scores adjusting for clusters and sex. This study provides a foundation for developing preventive interventions targeting the SG.

Inequality measurement for ordered response health data

When health status is an ordered response variable, Allison and Foster (2004)postulate that a distribution Q exhibits more inequality than a distribution P if Q is obtained from P via a sequence of median preserving spreads. This paper introduces a parametric family of inequality indices which are founded on the Allison and Foster ordering. [Authors]

Disentangling the link between health and social capital: A comparison of immigrant and native-born populations in Spain

An increasing body of research has pointed to the relevance of social capital in studying a great variety of socio-economic phenomena, ranging from economics growth and development to educational attainment and public health. Conceptually, our paper is framed within the debates about the possible links between health and social capital, on one hand, and within the hypotheses regarding the importance of social and community networks in all stages of the dynamics of international migration, on the other hand. Our primary objective is to explore the ways social relations contribute to health differences between the immigrants and the native-born population of Spain. We also try to reveal differences in the nature of the social networks of foreign-born, as compared to that of the native-born persons. The empirical analysis is based on an individual-level data coming from the 2006 Spanish Health Survey, which contains a representative sample of the immigrant population. To assess the relationship between various health indicators (self-assessed health, chronic conditions and long-term illness) and social capital, controlling for other covariates, we estimate multilevel models separately for the two population groups of interest. In the estimates we distinguish between individual and community-level social capital. While the Health Survey contains information that allows us to define individual social capital measures, the collective indicators come from other official sources. In particular, for the subsample of immigrants, we proxy community-level networks and relationships by variables contained in the Spanish National Survey of Immigrants 2007. The results obtained so far point to the relevance of social capital as a covariate in the health equation, although, the significance varies according to the specific health indicator used. Additionally, and contrary to what is expected, immigrants’ social networks seem to be inferior to those of the native-born population in many aspects; and they also affect immigrant’s health to a lesser extent. Policy implications of the findings are discussed. Keywords: health status, social capital, immigration, Spain

Abatacept improves health-related quality of life, pain, sleep quality, and daily participation in subjects with juvenile idiopathic arthritis.

OBJECTIVE: To assess health-related quality of life (HRQOL) in abatacept-treated children/adolescents with juvenile idiopathic arthritis (JIA). METHODS: In this phase III, double-blind, placebo-controlled trial, subjects with active polyarticular course JIA and an inadequate response/intolerance to ≥1 disease-modifying antirheumatic drug (including biologics) received abatacept 10 mg/kg plus methotrexate (MTX) during the 4-month open-label period (period A). Subjects achieving the American College of Rheumatology Pediatric 30 criteria for improvement (defined "responders") were randomized to abatacept or placebo (plus MTX) in the 6-month double-blind withdrawal period (period B). HRQOL assessments included 15 Child Health Questionnaire (CHQ) health concepts plus the physical (PhS) and psychosocial summary scores (PsS), pain (100-mm visual analog scale), the Children's Sleep Habits Questionnaire, and a daily activity participation questionnaire. RESULTS: A total of 190 subjects from period A and 122 from period B were eligible for analysis. In period A, there were substantial improvements across all of the CHQ domains (greatest improvement was in pain/discomfort) and the PhS (8.3 units) and PsS (4.3 units) with abatacept. At the end of period B, abatacept-treated subjects had greater improvements versus placebo in all domains (except behavior) and both summary scores. Similar improvement patterns were seen with pain and sleep. For participation in daily activities, an additional 2.6 school days/month and 2.3 parents' usual activity days/month were gained in period A responders with abatacept, and further gains were made in period B (1.9 versus 0.9 [P = 0.033] and 0.2 versus -1.3 [P = 0.109] school days/month and parents' usual activity days/month, respectively, in abatacept- versus placebo-treated subjects). CONCLUSION: Improvements in HRQOL were observed with abatacept, providing real-life tangible benefits to children with JIA and their parents/caregivers.

MOS-SF-36 in evaluating health-related quality of life in alcohol-dependent patients.

Health-related quality of life (HRQoL) was evaluated in a sample of alcohol-dependent patients with the 36-item Medical Outcome Study Short-Form Health Survey (MOS-SF-36). The instrument was administered to 147 patients (77% males), aged 26-78, with a DSM-III-R diagnosis of alcohol dependence. The Hamilton Depression Scale (HDS), the Severity of Alcohol Dependence Questionnaire (SADQ), and the Addiction Severity Index (ASI) were also administered to the first 100 patients included in the study. The reliability and validity of the MOS-SF-36 were evaluated. Test-retest intraclass coefficients for a 10-day interval were in the range .65 to .79, whereas the Cronbach alpha coefficient indicated good internal consistency (range .70 to .89). Compared to scores observed in the general population, MOS-SF-36 scores for alcohol-dependent patients were relatively low (indicating worse perception of HRQoL), especially in the psychological and role dimensions (range 52/100 to 55/100), but were closer to populational values in the physical and functional dimensions (range 61/100 to 75/100)). The highest correlation between MOS-SF-36 dimensions and HDS was found in the MOS-SF-36 &quot;mental health&quot; dimension (r=-.56, p &lt; .001); this dimension was also correlated highly with the psychiatric dimension of the ASI (r=-.73, p &lt; .001). The eight dimensions of the MOS-SF-36 were 21% to 127% lower in patients with HDS greater than or equal to 16 (major depression) compared to those with HDS less than or equal to 7 (absence of depression). The MOS-SF-36 dimensions were 10% to 141% lower in patients with high &quot;ASI alcohol&quot; scores, indicating worse HRQoL profiles with a higher severity of alcohol dependence. The MOS-SF-36 presents good criteria for reliability and validity in alcohol-dependent patients. The results suggested that alcohol-dependent patients perceived their problems more as psychological than physical. The severity of alcohol dependence and depression seemed to influence the perception of HRQoL negatively.