scholarly journals Data Collection, EHRs, and Poverty Determinations

2018 ◽  
Vol 46 (3) ◽  
pp. 622-628 ◽  
Author(s):  
Craig Konnoth
Keyword(s):  
Data Collection ◽  
Social Determinants ◽  
Clinical Care ◽  
Social Resources ◽  
Accurate Information ◽  
Imprecise Data ◽  
Individual Level ◽  
Public Benefit ◽  
Related Data ◽  
Starting Point

Collecting and deploying poverty-related data is an important starting point for leveraging data regarding social determinants of health in precision medicine. However, we must rethink how we collect and deploy such data. Current modes of collection yield imprecise data that is unsuited for research. Better data can be collected by cross-referencing other sources such as employers and public benefit programs, and by incentivizing and encouraging patients and providers to provide more accurate information. Data thus collected can be used to provide appropriate individual-level clinical and non-clinical care, and to systematically determine what share of social resources healthcare should consume.

Management Strategy for Distributing Questionnaires and Interview Guidelines in the Research Data Collection Process

2018 ◽  
Vol 2 (2) ◽  
pp. 104-111
Author(s):  
Po. Abas Sunarya ◽  
George Iwan Marantika ◽  
Adam Faturahman
Keyword(s):  
Focus Group ◽  
Data Collection ◽  
Management Strategy ◽  
Research Data ◽  
Accurate Information ◽  
Focus Group Interviews ◽  
Good Management ◽  
Research Activities ◽  
Data Collection Process ◽  
Group Interviews

Writing can mean lowering or describing graphic symbols that describe a languageunderstood by someone. For a researcher, management of research preparation is a veryimportant step because this step greatly determines the success or failure of all researchactivities. Before a person starts with research activities, he must make a written plan commonlyreferred to as the management of research data collection. In the process of collecting researchdata, of course we can do the management of questionnaires as well as the preparation ofinterview guidelines to disseminate and obtain accurate information. With the arrangement ofplanning and conducting interviews: the ethics of conducting interviews, the advantages anddisadvantages of interviews, the formulation of interview questions, the schedule of interviews,group and focus group interviews, interviews using recording devices, and interview bias.making a questionnaire must be designed with very good management by giving to theinformation needed, in accordance with the problem and all that does not cause problems at thestage of analysis and interpretation.

DISSEMINATION AND USE OF INFORMATION ON CLIMATE CHANGE AND VARIABILITY: A CASE STUDY OF FARMERS IN MALUGA AND CHIBELA VILLAGES IN SEMI-ARID CENTRAL TANZANIA

Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 1-24
Author(s):  
Emmanuel Elia ◽  
Stephen Mutula ◽  
Christine Stilwell
Keyword(s):  
Climate Change ◽  
Data Collection ◽  
Diffusion Of Innovations ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Policy Framework ◽  
Accurate Information ◽  
Adaptation To Climate Change ◽  
Climate Change And Variability ◽  
Semi Arid

This study was part of broader PhD research which investigated how access to, and use of, information enhances adaptation to climate change and variability in the agricultural sector in semi-arid Central Tanzania. The research was carried out in two villages using Rogers’ Diffusion of Innovations theory and model to assess the dissemination of this information and its use by farmers in their adaptation of their farming practices to climate change and variability. This predominantly qualitative study employed a post-positivist paradigm. Some elements of a quantitative approach were also deployed in the data collection and analysis. The principal data collection methods were interviews and focus group discussions. The study population comprised farmers, agricultural extension officers and the Climate Change Adaptation in Africa project manager. Qualitative data were subjected to content analysis whereas quantitative data were analysed to generate mostly descriptive statistics using SPSS.  Key findings of the study show that farmers perceive a problem in the dissemination and use of climate information for agricultural development. They found access to agricultural inputs to be expensive, unreliable and untimely. To mitigate the adverse effects of climate change and variability on farming effectively, the study recommends the repackaging of current and accurate information on climate change and variability, farmer education and training, and collaboration between researchers, meteorology experts, and extension officers and farmers. Moreover, a clear policy framework for disseminating information related to climate change and variability is required.

scholarly journals Posture-related data collection methods for construction workers: A review

2021 ◽  
Vol 124 ◽  
pp. 103538
Author(s):  
Yantao Yu ◽  
Waleed Umer ◽  
Xincong Yang ◽  
Maxwell Fordjour Antwi-Afari
Keyword(s):  
Data Collection ◽  
Construction Workers ◽  
Data Collection Methods ◽  
Related Data ◽  
Collection Methods

scholarly journals Blood Pressure Trajectories Across the Life Course

2021 ◽  
Vol 34 (3) ◽  
pp. 234-241
Author(s):  
Norrina B Allen ◽  
Sadiya S Khan
Keyword(s):  
Blood Pressure ◽  
Measurement Errors ◽  
Clinical Care ◽  
Population Level ◽  
Cumulative Exposure ◽  
Older Adulthood ◽  
Individual Level ◽  
The Life Course ◽  
Level Group ◽  
Improve Health

Abstract High blood pressure (BP) is a strong modifiable risk factor for cardiovascular disease (CVD). Longitudinal BP patterns themselves may reflect the burden of risk and vascular damage due to prolonged cumulative exposure to high BP levels. Current studies have begun to characterize BP patterns as a trajectory over an individual’s lifetime. These BP trajectories take into account the absolute BP levels as well as the slope of BP changes throughout the lifetime thus incorporating longitudinal BP patterns into a single metric. Methodologic issues that need to be considered when examining BP trajectories include individual-level vs. population-level group-based modeling, use of distinct but complementary BP metrics (systolic, diastolic, mean arterial, mid, and pulse pressure), and potential for measurement errors related to varied settings, devices, and number of readings utilized. There appear to be very specific developmental periods during which divergent BP trajectories may emerge, specifically adolescence, the pregnancy period, and older adulthood. Lifetime BP trajectories are impacted by both individual-level and community-level factors and have been associated with incident hypertension, multimorbidity (CVD, renal disease, cognitive impairment), and overall life expectancy. Key unanswered questions remain around the additive predictive value of BP trajectories, intergenerational contributions to BP patterns (in utero BP exposure), and potential genetic drivers of BP patterns. The next phase in understanding BP trajectories needs to focus on how best to incorporate this knowledge into clinical care to reduce the burden of hypertensive-related outcomes and improve health equity.

scholarly journals Changing relationships: how does patient involvement transform professional identity? An ethnographic study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045520
Author(s):  
Marie-Pierre Codsi ◽  
Philippe Karazivan ◽  
Ghislaine Rouly ◽  
Marie Leclaire ◽  
Antoine Boivin
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Health Professionals ◽  
Clinical Care ◽  
Ethnographic Study ◽  
Structured Interviews ◽  
Administrative Team ◽  
Nurse Clinician ◽  
New Perspective ◽  
Relational Framework

ObjectivesTo understand identity tensions experienced by health professionals when patient partners join a quality improvement committee.DesignQualitative ethnographic study based on participatory observation.SettingAn interdisciplinary quality improvement committee of a Canadian urban academic family medicine clinic with little previous experience in patient partnership.ParticipantsTwo patient partners, seven health professionals (two family physicians, two residents, one pharmacist, one nurse clinician and one nurse practitioner) and three members of the administrative team.Data collectionData collection included compiled participatory observations, logbook notes and semi-structured interviews, collected between the summer of 2017 to the summer of 2019.Data analysisGhadiri’s identity threats theoretical framework was used to analyse qualitative material and to develop conceptualising categories, using QDA Miner software (V.5.0).ResultsAll professionals with a clinical care role and patient partners (n=9) accepted to participate in the ethnographic study and semi-structured interviews (RR=100%). Transforming the ‘caregiver–patient’ relationship into a ‘colleague–colleague’ relationship generated identity upheavals among professionals. Identity tensions included competing ideals of the ‘good professional’, challenges to the impermeability of the patient and professional categories, the interweaving of symbols associated with one or the other of these identities, and the inner balance between the roles of caregiver and colleague.ConclusionThis research provides a new perspective on understanding how working in partnership with patients transform health professionals’ identity. When they are called to work with patients outside of a simple therapeutic relationship, health professionals may feel tensions between their identity as caregivers and their identity as colleague. This allows us to better understand some underlying tensions elicited by the arrival of different patient engagement initiatives (eg, professionals’ resistance to working with patients, patients’ status and remuneration, professionals’ concerns toward patient ‘representativeness’). Partnership with patients imply the construction of a new relational framework, flexible and dynamic, that takes into account this coexistence of identities.

scholarly journals Data Dentistry: How Data Are Changing Clinical Care and Research

2021 ◽  
pp. 002203452110202
Author(s):  
F. Schwendicke ◽  
J. Krois
Keyword(s):  
Health Care ◽  
Data Sharing ◽  
Clinical Care ◽  
Open Data ◽  
User Interaction ◽  
Data Availability ◽  
Related Data ◽  
Data User ◽  
Regulatory Data ◽  
Consumer Data

Data are a key resource for modern societies and expected to improve quality, accessibility, affordability, safety, and equity of health care. Dental care and research are currently transforming into what we term data dentistry, with 3 main applications: 1) medical data analysis uses deep learning, allowing one to master unprecedented amounts of data (language, speech, imagery) and put them to productive use. 2) Data-enriched clinical care integrates data from individual (e.g., demographic, social, clinical and omics data, consumer data), setting (e.g., geospatial, environmental, provider-related data), and systems level (payer or regulatory data to characterize input, throughput, output, and outcomes of health care) to provide a comprehensive and continuous real-time assessment of biologic perturbations, individual behaviors, and context. Such care may contribute to a deeper understanding of health and disease and a more precise, personalized, predictive, and preventive care. 3) Data for research include open research data and data sharing, allowing one to appraise, benchmark, pool, replicate, and reuse data. Concerns and confidence into data-driven applications, stakeholders’ and system’s capabilities, and lack of data standardization and harmonization currently limit the development and implementation of data dentistry. Aspects of bias and data-user interaction require attention. Action items for the dental community circle around increasing data availability, refinement, and usage; demonstrating safety, value, and usefulness of applications; educating the dental workforce and consumers; providing performant and standardized infrastructure and processes; and incentivizing and adopting open data and data sharing.

scholarly journals Examining social determinants by locale to inform community linkages

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Davis
Keyword(s):  
Social Determinants ◽  
Low Income ◽  
Negative Impact ◽  
Rank Order ◽  
Disabled Persons ◽  
Behavioral Risk ◽  
Exploratory Research ◽  
Frequency Distributions ◽  
Individual Level ◽  
Negative Impacts

Abstract Achieving a long-lasting impact on health outcomes requires focus not just on patient care, but also on community approaches aimed at improving population health through addressing gaps in Social Determinants of Health (SDOH). SDOH have been found to disproportionately affect those in low-income brackets and the disabled to varying degrees based on locale. The purpose of this exploratory research was to determine 1) which SDOH have the greatest negative impact on disabled and elderly populations within four targeted states (Iowa, Ohio, Minnesota, Wisconsin) and 2) if there is a difference in negative SDOH impact between metro and non-metro locales. Individual-level data were obtained from disabled persons aged 65 years or older who responded to the Centers for Disease Control and Prevention's 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. Utilizing these data, frequency distributions were obtained using SPSS. Rank order variation in SDOH was observed among four Midwestern states and between metro vs. non-metro geographic regions. Frequency distributions assisted in identifying the greatest negative impacting SDOH on elderly disabled populations. An examination of the rank order tables allowed the investigator to accurately assess the rank of negative impacts. There were variabilities in responses to questions with moving two or more times within 12 months having the lowest negative impact. When regrouped based upon SDOH negative impacts, were you able to pay your bills was the most frequent SDOH across all states. Feeling unsafe or extremely unsafe in your neighborhood was the highest negatively impacted SDOH within states. Cited determinants in three categories were highest in Ohio. Ohio also had the highest proportion of negatively impacted SDOH across all states. No money for balanced meals was a close second SDOH across states. Key messages Social Determinants Impacting Elderly Disabled. Impact of Social Determinants by Geography.

On Others’ Emotions, and Ours: a Reflection on Narratives, Categories, and Heuristic Devices

Relations ◽  
2013 ◽  
pp. 9-22
Author(s):  
Sabrina Tonutti
Keyword(s):  
Case Studies ◽  
Social Relations ◽  
Cultural Anthropology ◽  
Collective Phenomena ◽  
Individual Level ◽  
Starting Point ◽  
Heuristic Devices

This article reflects on some epistemological and methodological tenets of cultural anthropology such as the informants’ role in ethnographical research, the relation between collective phenomena and individuals, and that between case studies (individual level) and abstraction (generalization). These tenets will be addressed focusing on the lack of recognition of animals’ individuality and agency in social relations, and on the related humans/animals opposition. With the topic of the emotional lives of animals as a starting point, the essay sets out to reflect on how the narratives we use to interpret and describe them inform our enquiry within an anthropocentric and essentialist view, consequently biasing our understanding of diversity.

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