In data analysis, given that various statistical methods assume that the distribution of the population data is normal distribution, it is essential to check and test whether or not the data satisfy the normality requirement. Although the analytical methods vary depending on whether or not the normality is satisfied, inconsistent results might be obtained depending on the analysis method used. In many clinical research papers, the results are presented and interpreted without checking or testing normality. According to the central limit theorem, the distribution of the sample mean satisfies the normal distribution when the number of samples is above 30. However, in many clinical studies, due to cost and time restrictions during data collection, the number of samples is frequently lower than 30. In this case, a proper statistical analysis method is required to determine whether or not the normality is satisfied by performing a normality test. In this regard, this paper discusses the normality check, several methods of normality test, and several statistical analysis methods with or without normality checks.
Data Collection ; Methods ; Normal Distribution ; Statistics as Topic

PURPOSE: This qualitative study aimed to develop a substantive theory of the process of adaptation to motherhood in Central Asian-Korean immigrants to Korea.METHODS: Individual, in-depth interviews were conducted from July to September 2017, with 18 women who emigrated of Korean ethnicity from Central Asia to Korea, and took care of their baby for at least a year after their first delivery in Korea. The interviews were audio-recorded and transcribed verbatim. Data from the transcriptions were analyzed through Strauss and Corbin's grounded theory method, and data analysis was conducted simultaneously with data collection.RESULTS: As a result of categorizing the interview data through the process of open coding, 10 categories, with 31 subcategories and 102 concepts were drawn, and “growth as a Central Asian-Korean mother in an unfamiliar, historical hometown” was found to be the core category of the process of adaptation to motherhood in Central Asian-Korean immigrants to Korea.CONCLUSION: A characteristic of the process of adaptation to motherhood in Central Asian-Korean immigrants to Korea, drawn from this study, is that it differs according to the level of initiative to carry out interaction strategies, and the use of various supportive social resources. The findings indicate the need for Medicare eligibility adjustment for antenatal care, the extension of the visa renewal period during childbirth, the development of web- or mobile application-based educational programs in Russian language, and the establishment of integrated visiting healthcare services, community service resources, and policy support to enable these women to utilize various supportive social resources.
Adaptation, Psychological ; Asia ; Clinical Coding ; Data Collection ; Delivery of Health Care ; Emigrants and Immigrants ; Female ; Grounded Theory ; Humans ; Korea ; Medicare ; Methods ; Mothers ; Parturition ; Qualitative Research ; Social Welfare ; Statistics as Topic

PURPOSE: The purpose of this study was to understand the essence and meaning of the experience of cancer patients receiving spiritual nursing. METHODS: Data were collected by in-depth individual interviews with participants from April to June, 2019. Eight patients from a single Christian hospital participated in this study. Cyclical data collection and analysis were conducted by Collaizzi's phenomenological method. RESULTS: The experience of cancer patients receiving spiritual nursing consisted of four themes: strange spiritual nursing faced with longing, unexpected changes in me, spiritual sympathy leading to trust, and transition to spiritual recovery. CONCLUSION: This study provided an in-depth understanding of the changes cancer patients experience through spiritual nursing interventions. Efforts should be made to verify the effectiveness of this study by developing and applying education programs that can enhance the spiritual nursing capabilities of nurses to better approach cancer patients.
Data Collection ; Education ; Hospitals, General ; Humans ; Methods ; Nursing Care ; Nursing ; Qualitative Research ; Spirituality

PURPOSE: This study was a qualitative study done to investigate the experience of role conflict by physician assistant nurses. METHODS: The basis for this study was qualitative research using the phenomenological method. Research participants were 10 physician assistant nurses. Data collection methodology was in-depth interviews. The interviews were conducted 1 to 2 times and each interview lasted within the range of 45 minutes to 2 hours. The data collection and analysis were carried out simultaneously and the Colaizzi (1978) methodology was adopted for data analysis. RESULTS: The results showed 46 significant statements, 13 meaningful statements, 7 themes, and 3 clusters of themes. The 3 clusters of themes were: ‘Identity conflict’, ‘Relationship role conflict’ and ‘Institutional role conflict’. CONCLUSION: The findings from this study suggest that legal status guarantees have to be prepared in order to resolve the role conflict of physician assistant nurses.
Data Collection ; Humans ; Jurisprudence ; Methods ; Physician Assistants ; Qualitative Research ; Statistics as Topic

BACKGROUND: Fertility and childbearing are the most important determinants of population variation around the world. This study was conducted with the aim of determining the psychological and sociodemographic factors predicting fertility intention among women referred to comprehensive health centers in Hamadan based on the beliefs, attitudes, subjective norms, and enabling factors (BASNEF) model. METHODS: This descriptive analytical study was performed in comprehensive health centers in Hamadan in 2016. Through a multi-stage sampling method, 484 women were enrolled in the study. The data collection tool was a self-report questionnaire based on the constructs of the BASNEF model. Data were analyzed using linear regression, independent t-test, and a one-way analysis of variance using IBM SPSS software ver. 22.0 (IBM Corp., Armonk, NY, USA). RESULTS: The mean±standard deviation of the women's age was 31.85±6.13 years. The variables of motivation to comply (β=0.228), enabling factors (β=0.162), subjective norms (β=0.134), and attitude (β=0.122) were the predictors of fertility intention in women. This model was able to explain 16.8% of variance in behavioral intention. Also, lower age, higher education, shorter duration of marriage, and having a daughter resulted in a greater fertility intention. CONCLUSION: It seems that designing and implementing educational programs to improve attitudes, promoting positive subjective norms, and enhancing enabling factors can play a major role in increasing fertility intention in women.
Causality ; Data Collection ; Education ; Female ; Fertility ; Humans ; Intention ; Iran ; Linear Models ; Marriage ; Methods ; Motivation ; Nuclear Family

OBJECTIVES: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. METHODS: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. RESULTS: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. CONCLUSIONS: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.
Cell Phones ; Communicable Diseases ; Data Collection ; Dataset ; Epidemiologic Studies* ; Epidemiological Monitoring ; Epidemiology* ; Geographic Information Systems ; Humans ; Information Storage and Retrieval ; Internet ; Life Style ; Machine Learning ; Mental Health ; Methods ; Privacy ; Public Health Surveillance ; Social Media

PURPOSE: To understand the meaning and essence of Vietnamese migrant women's maternal experience after childbirth. METHODS: A phenomenological methodology was used for this study. Study participants were six Vietnamese marriage migrant women who had experience of childbirth in Korea. Data collection period was from February 1 through November 4, 2016. Data were collected through in-depth interview and analyzed with the Giorgi method. RESULTS: As a result of study, six main meanings and 12 themes were produced. The six main meanings produced in this study were ‘childbirth realized in the double difficulty’, ‘concerned health between the ở cữ and the sanhujori’, ‘tired body with hard parenting’, ‘crowding regret for international marriage after childbirth’, ‘Grateful partner becoming the prop’, and ‘Growing maternal instinct by moving the mind and body in a foreign country’. CONCLUSION: Consideration for postnatal care is necessary from Vietnamese marriage migrant women's viewpoint. Systematic education programs that can improve nursing capability of medical personnel for multicultured clinical practice with development of a postnatal care program suited to multiculture are also necessary.
Asian Continental Ancestry Group* ; Data Collection ; Education ; Emigrants and Immigrants* ; Female ; Humans ; Instinct ; Korea ; Marriage ; Methods ; Nursing ; Parturition* ; Postnatal Care ; Qualitative Research ; Transients and Migrants

BACKGROUND: In recent years, the interest in health and safety in the workplace has increased. Agriculture is one of the human work activities with the highest risk indexes. Studies on risk perception of agricultural workers are often referred to as specific risk factors (especially pesticides), but the risk perception plays an important role in preventing every kind of accident and occupational disease. METHODS: The aim of this research is to test a new method for understanding the relation between risk perception among farmers and the main risk factors to which they are exposed. A secondary aim is to investigate the influence of training in risk perception in agriculture. The data collection was realized using a questionnaire designed to investigate the risk perception; the questionnaire was given to a sample of 119 agricultural workers in central Italy. Through the use of the “principal components analysis” it was possible to highlight and verify the latent dimensions underlying the collected data in comparison with scales of attitudes. RESULTS: Results show that the highest percentage of strong negative attitude is among the people who have worked for more years, while farmers who have worked for fewer years have a marked positive attitude. CONCLUSION: The analysis of the questionnaires through the synthetic index method (Rizzi index) showed that agricultural workers involved, in particular the elderly workers, have a negative attitude towards safety; workers are hostile to safety measures if they have not attended special training courses.
Aged ; Agriculture ; Data Collection ; Farmers* ; Humans ; Italy* ; Methods ; Occupational Diseases ; Passive Cutaneous Anaphylaxis ; Risk Factors ; Surveys and Questionnaires ; Weights and Measures

OBJECTIVES: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming. To overcome this problem, we developed a system that can automatically classify sleep stages. METHODS: This paper proposes a new method for sleep stage classification, called the fast convolutional method. The proposed method was evaluated against two sleep datasets. The first dataset was obtained from physionet.org, a physiologic signals data centers. Twenty-five patients who had a sleep disorder participated in this data collection. The second dataset was collected in Mitra Keluarga Kemayoran Hospital, Indonesia. Data was recorded from ten healthy respondents. RESULTS: The proposed method reached 73.50% and 56.32% of the F-measures for the PhysioNet and Mitra Keluarga Kemayoran Hospital data, respectively. Both values were the highest among all the machine learning methods considered in this study. The proposed method also had an efficient running time. The fast convolutional models of the PhysioNet and Mitra Keluarga Kemayoran Hospital data needed 42.60 and 0.06 seconds, respectively. CONCLUSIONS: The fast convolutional method worked well on the tested datasets. It achieved a high F-measure result and an efficient running time. Thus, it can be considered a promising tool for sleep stage classification.
Classification* ; Data Collection ; Dataset ; Humans ; Indonesia ; Machine Learning ; Methods* ; Polysomnography ; Running ; Sleep Stages* ; Sleep Wake Disorders ; Surveys and Questionnaires

BACKGROUND: Going to work despite feeling sick also known as sickness presenteeism is one of the emerging global occupational health challenges. Sickness presenteeism negatively affects both health of work forces and productivity of organizations in general. However, there is insufficient research exploring this situation in majority of the Sub-Saharan African countries, including Ethiopia. Thus this study intended to investigate the prevalence and determinant factors of sickness presenteeism among health care workers, Western Ethiopia. METHODS: This study used an institution based cross-sectional quantitative study design. The study period was from February to March, 2017. We employed simple random sampling method to select 360 study samples. Data collection was performed by pre-tested structured and self- administered questionnaire. We used SPSS version 20 to carry out binary logistic regression analysis. Odds ratio with 95% confidence intervals was calculated and significance of associations was determined at p-value < 0.05. RESULTS: A total of 344 respondents fully completed the survey questionnaire. Mean age with standard deviation was 30.28 ± 6.181. Prevalence of sickness Presenteeism was 52.6% [95%CI: (47.4, 57.8)] in the past 12 months. Educational status [AOR:2.1, 95%CI: (1.17,3.90)], financial problem [AOR:1.9,95%CI:(1.07,3.46)], sickness absenteeism [AOR:2.7,95% CI:(1.50,5.02)], lack of staff replacement [AOR:2.7,95%CI:(1.50,5.02)], absence of occupational health services [AOR:3.0,95%CI:(1.34,6.70)], and pressure from supervisor [AOR:1.8,95% CI:(1.01,3.31)] were significant predictors of the dependent variable. CONCLUSION: Relatively higher proportions of workers indicated sickness presenteeism as compared to other studies. Risk factors like educational status, personal financial problem, sickness absenteeism, lack of staff replacement, absence of occupational health services, and pressure from supervisors considerably increased the likely occurrence of employees’ sick attendance. It is advisable for health care managers to hire adequate health care staffs, to implement basic occupational health services and to design strategies which reduce pressure from supervisors.
Absenteeism ; Cross-Sectional Studies ; Data Collection ; Delivery of Health Care ; Educational Status ; Efficiency ; Ethiopia ; Humans ; Logistic Models ; Methods ; Occupational Health ; Occupational Health Services ; Odds Ratio ; Presenteeism ; Prevalence ; Risk Factors ; Surveys and Questionnaires