scholarly journals Essential aspects in the design of data collection instruments in primary health research

Revista CEFAC ◽  
2018 ◽  
Vol 20 (5) ◽  
pp. 657-664 ◽  
Author(s):  
Débora Butka Thomas ◽  
Nágila Soares Xavier Oenning ◽  
Bárbara Niegia Garcia de Goulart
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Health Research ◽  
Target Population ◽  
Structure Validation ◽  
Primary Health ◽  
Health Area ◽  
Key Words Survey ◽  
Literature Production ◽  
Pilot Tests

ABSTRACT Objective: to investigate the literature production on the design of forms for research in the health area and describe the most relevant concepts and precepts of the topic. Methods: an integrative literature review in the PubMed and Scielo databases with the key words: survey, constructing, questionnaire, formulary, development and design in various combinations, including articles published in any language in the last ten years. The survey returned 1,480 articles, and after reading and critically reviewing the abstracts according to the objective of the study, 16 articles were selected for complete reading. Information regarding aspects that were most relevant to the objective of the study was analyzed, as well as its recurrence in the selected articles. Results: the reading of the 16 articles resulted in three categories, based on the recurrence of the themes: structure, validation and sampling. Conclusion: clarity in the formulation of the questions was the most valued aspect in the structure of the instrument. As for validation, the realization of pilot tests was considered fundamental. Finally, the method of administration and adaptation of the questionnaire to target population was considered fundamental.

scholarly journals Inarticulate Experiences in Qualitative Health Research: Bounds and Bounty of Expression Types

2020 ◽  
Vol 19 ◽  
pp. 160940692097810
Author(s):  
Paul Lindhout ◽  
Truus Teunissen ◽  
Merel Visse
Keyword(s):  
Health Care ◽  
Data Collection ◽  
Literature Review ◽  
Health Research ◽  
Hierarchical Classification ◽  
Verbal Expression ◽  
Research And Practice ◽  
Qualitative Health Research ◽  
Study Designs ◽  
Point Of Departure

Not all human experiences can be expressed in words. Arts-based expressions may be useful to qualitative researchers as they can disclose people’s experiences with health, illness and disability. These expressions, which connect with non-linguistic and unexplored realms of experience, may support researchers’ efforts to honor the complexities of their lives. In our study, we explored and identified modes of expression among those sharing their experiences in health care and wellbeing research and practice. We present an inventory of human expression types based on a hierarchical classification and a literature review. The expression types which involve modes of both verbal and non-verbal knowing, show a bounty of possible ways for researchers and others to extend their study designs beyond verbalized accounts. We contend that using non-verbal expression types can assist qualitative researchers in fostering the articulation of complex experiences. As drawing upon a variety of methods in the inventory of expression types comes with new methodological bounds, researchers need to explicate their paradigmatic point of departure. It is expected that researchers, other professionals, and the general public will increase their holistic understandings of a subject’s experience by being open to a variety of expression types during data collection, interpretation, and presentation.

scholarly journals Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (Preprint)

2018 ◽  
Author(s):  
Tjeerd W Boonstra ◽  
Jennifer Nicholas ◽  
Quincy JJ Wong ◽  
Frances Shaw ◽  
Samuel Townsend ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Literature Review ◽  
Mobile Phone ◽  
Health Research ◽  
Mental Health Research ◽  
Sensor Data ◽  
Sensor Technology ◽  
Battery Life ◽  
Behavioral Markers

BACKGROUND Mobile phone sensor technology has great potential in providing behavioral markers of mental health. However, this promise has not yet been brought to fruition. OBJECTIVE The objective of our study was to examine challenges involved in developing an app to extract behavioral markers of mental health from passive sensor data. METHODS Both technical challenges and acceptability of passive data collection for mental health research were assessed based on literature review and results obtained from a feasibility study. Socialise, a mobile phone app developed at the Black Dog Institute, was used to collect sensor data (Bluetooth, location, and battery status) and investigate views and experiences of a group of people with lived experience of mental health challenges (N=32). RESULTS On average, sensor data were obtained for 55% (Android) and 45% (iOS) of scheduled scans. Battery life was reduced from 21.3 hours to 18.8 hours when scanning every 5 minutes with a reduction of 2.5 hours or 12%. Despite this relatively small reduction, most participants reported that the app had a noticeable effect on their battery life. In addition to battery life, the purpose of data collection, trust in the organization that collects data, and perceived impact on privacy were identified as main factors for acceptability. CONCLUSIONS Based on the findings of the feasibility study and literature review, we recommend a commitment to open science and transparent reporting and stronger partnerships and communication with users. Sensing technology has the potential to greatly enhance the delivery and impact of mental health care. Realizing this requires all aspects of mobile phone sensor technology to be rigorously assessed.

scholarly journals Use of Social Networks for Data Collection in Scientific Productions in the Health Area: Integrative Literature Review

Aquichan ◽  
2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Ellen Thallita Hill Araújo ◽  
Camila Aparecida Pinheiro Landim Almeida ◽  
Jaiana Rocha Vaz ◽  
Edilane Jales Leite Magalhães ◽  
Carlos Henrique Lima Alcantara ◽  
...  
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Literature Review ◽  
Web Of Science ◽  
Low Cost ◽  
Scientific Evidence ◽  
Promising Tool ◽  
Health Area

Objective: To investigate evidence on the use of social networks to collect data in scientific productions in the health area. Material and method: An integrative literature review from primary studies indexed in the SciELO, PubMed, LILACS, Scopus, and Web of Science platforms. Results: 16 scientific articles were selected, of which nine focused on the use of WhatsApp; five, on the use of Facebook; and two, on employing Twitter to collect data in scientific productions. Growth was noted on the number of investigations associated to the use of social networks, although an important paradigm still exists related to the use to generate scientific evidence, resulting in a still low number of investigations on this theme. Conclusions: The health area needs to approach evermore the development of research associated to social networks, given that this would enable a viable and rapid intervention in obtaining responses, besides being a low cost and very promising tool for data collection.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

PENERAPAN GREEN COMPUTING PADA KUISIONER INSTRUMEN PENILAIAN KINERJA DOSEN DI POLITEKNIK NEGERI SUBANG

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Nunu Nugraha Purnawan
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Performance Assessment ◽  
Research Method ◽  
Field Research ◽  
Green Computing ◽  
Assessment Instrument ◽  
Computer Hardware ◽  
Model Free ◽  
Collection Methods

The lecturer's performance assessment by students in the form of an online Lecturer Performance Assessment Instrument Questionnaire (KIPKD) is in line with the work concepts of Green Computing by utilizing computer hardware and software better, more efficiently and more useful. KIPKD online POLSUB uses Google Forms, because it has an attractive and responsive look, provides a fairly complete choice of stuffing model, free, the results are neatly arranged and can be analyzed easily. This research method uses literature review in the form of books, journals that discuss about topics related to the use of Google Forms as a medium in the manufacture of questionnaires for surveys and data collection, as well as related to the concept of Green Computing. While data collection methods used in field research by way of observation of the system running in the academic POLSUB. The use of KIPKD online illustrates that POLSUB participates in preserving the environment, with no 12 paper/year rims, equivalent to 12 tree trunks.

scholarly journals Utilizing asynchronous email interviews for health research: overview of benefits and drawbacks

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Michelle Amri ◽  
Christina Angelakis ◽  
Dilani Logan
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Data Quality ◽  
Health Research ◽  
Geographic Location ◽  
Public Health Research ◽  
Data Accuracy ◽  
Global Public Health ◽  
Snowball Sampling ◽  
Face To Face

Abstract Objective Through collating observations from various studies and complementing these findings with one author’s study, a detailed overview of the benefits and drawbacks of asynchronous email interviewing is provided. Through this overview, it is evident there is great potential for asynchronous email interviews in the broad field of health, particularly for studies drawing on expertise from participants in academia or professional settings, those across varied geographical settings (i.e. potential for global public health research), and/or in circumstances when face-to-face interactions are not possible (e.g. COVID-19). Results Benefits of asynchronous email interviewing and additional considerations for researchers are discussed around: (i) access transcending geographic location and during restricted face-to-face communications; (ii) feasibility and cost; (iii) sampling and inclusion of diverse participants; (iv) facilitating snowball sampling and increased transparency; (v) data collection with working professionals; (vi) anonymity; (vii) verification of participants; (viii) data quality and enhanced data accuracy; and (ix) overcoming language barriers. Similarly, potential drawbacks of asynchronous email interviews are also discussed with suggested remedies, which centre around: (i) time; (ii) participant verification and confidentiality; (iii) technology and sampling concerns; (iv) data quality and availability; and (v) need for enhanced clarity and precision.

Brazilian National Household Health Survey and PCAT: the case of Mato Grosso do Sul, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L F Pinto ◽  
D Soranz ◽  
L J Santos ◽  
M S Paranhos ◽  
L S Malta ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Data Collection ◽  
Health Survey ◽  
Household Surveys ◽  
Mato Grosso ◽  
Primary Health ◽  
The World ◽  
Mato Grosso Do Sul

Abstract Brazil is divided into five administrative regions, 27 federation units and 5,570 municipalities. Mato Grosso do Sul is one of the states located in the Midwest region and has 1.6 million km2 and a resident population of 2.8 million inhabitants, that is, it has an even lower demographic density than its region - only 7.8 inhabitants/km2. Mato Grosso do Sul has part of the Pantanal, a biome considered the largest continuous floodplain in the world, rich in biodiversity. For this reason, displacements for data collection in household surveys combine roads and rivers. In 2019, the Brazilian National Institute of Geography and Statistics (Istituto Nazionale di Statistica del Brasile) in partnership with the Ministry of Health launched the world's largest household sample survey, the National Health Survey (PNS-2019), in which part of its questions included the use of Primary Care Assessment Tool (PCAT, adult version), created by professors Barbara Starfield and Leiyu Shi in the 2000s. IBGE interviewers visited more than 100,000 households across the country. In Mato Grosso do Sul, more than 3,000 households were surveyed. In this work, we present the data collection instrument used by IBGE and its multiple analysis possibilities in the scope of primary health care, crossing the variables from other questionnaire modules in order to compare the results from Brazil with the state of Mato Grosso do Sul and its capital, Campo Grande. Developing a baseline and measuring the attributes of primary health care in each of the Brazilian states is another step towards giving health policy accountability, towards strong primary care. IBGE's experience in household surveys and innovation in data collection in primary care is an example for the world that yes, it is possible to develop statistically representative national sample surveys and make them perennial in their regular household surveys, by the time World Health Organization (WHO) discusses universal health coverage. Key messages Evaluation of primary care using an internationally validated instrument is possible on national bases with random household sample surveys. A questionnaire elaborated academically can be used as an instrument of public policy to evaluate nationwide health services.

scholarly journals Conducting Population Health Research during the COVID-19 Pandemic: Impacts and Recommendations

2021 ◽  
Vol 13 (6) ◽  
pp. 3320
Author(s):  
Amy R. Villarosa ◽  
Lucie M. Ramjan ◽  
Della Maneze ◽  
Ajesh George
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Data Quality ◽  
Population Health ◽  
Health Research ◽  
Alternative Methods ◽  
Residential Aged Care ◽  
Recruitment Methods ◽  
Face To Face ◽  
The Impact

The COVID-19 pandemic has resulted in many changes, including restrictions on indoor gatherings and visitation to residential aged care facilities, hospitals and certain communities. Coupled with potential restrictions imposed by health services and academic institutions, these changes may significantly impact the conduct of population health research. However, the continuance of population health research is beneficial for the provision of health services and sometimes imperative. This paper discusses the impact of COVID-19 restrictions on the conduct of population health research. This discussion unveils important ethical considerations, as well as potential impacts on recruitment methods, face-to-face data collection, data quality and validity. In addition, this paper explores potential recruitment and data collection methods that could replace face-to-face methods. The discussion is accompanied by reflections on the challenges experienced by the authors in their own research at an oral health service during the COVID-19 pandemic and alternative methods that were utilised in place of face-to-face methods. This paper concludes that, although COVID-19 presents challenges to the conduct of population health research, there is a range of alternative methods to face-to-face recruitment and data collection. These alternative methods should be considered in light of project aims to ensure data quality is not compromised.

scholarly journals Global media flows: A qualitative review of research methods in audio-visual flow studies

2018 ◽  
Vol 81 (6-8) ◽  
pp. 748-767
Author(s):  
Catalina Iordache ◽  
Leo Van Audenhove ◽  
Jan Loisen
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Research Question ◽  
Secondary Data ◽  
Visual Content ◽  
Global Media ◽  
Film And Television ◽  
Recent Developments ◽  
Media Flows

Recent developments in the online distribution and consumption of audio-visual content have brought relevant changes to the transnational flow of content. Thus, the need for a theoretical and methodological rejuvenation of flows research has been signalled. The aim of the present study is to analyse the different flow studies throughout time, following a series of parameters such as research question, methodology and scale of study. This article is a systematic literature review of 30 flow studies on film and television programmes, published between 1974 and 2014. The methods used by the studies are brought into focus and discussed thoroughly, in light of the method of data collection, the type of data used and the method of data analysis. Main findings show an evolution towards more detailed research, to include more contextual factors, an increased use of secondary data, as well as more focused regional and comparative studies.

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