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All Journal Health Notions Science Midwifery AloHA International Journal of Health Advancement (AIJHA)
Sanglar Polnok, Sanglar
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary

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Understanding The Resistance to Health Information Systems Ackah, David; Alvarado, Angelito E; Nugroho, Heru Santoso Wahito; Polnok, Sanglar; Martiningsih, Wiwin
Health Notions Vol 1 No 1 (2017): January-March 2017
Publisher : Humanistic Network for Science and Technology (Address: Cemara street 25, Ds/Kec Sukorejo, Ponorogo, East Java, Indonesia 63453)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (153.486 KB)

Abstract

User resistance is users’ opposition to system implementation. Resistance often occurs as a result of a mismatch between management goals and employee preferences. There are two types of resistance to health iformation system namely active resistance and passive resistance. The manifestation of active resistance are being critical,  blaming/accusing, blocking, fault finding, sabotaging, undermining, ridiculing, intimidating/threatening, starting rumors, appealing to fear, manipulating arguing, using facts selectively, distorting facts and  raising objections. The manifestation of passive resistance are agreeing verbally but not following through, failing to implement change, procrastinating/dragging feet, feigning ignorance, withholding information, suggestions, help or support, and standing by and allowing the change to fail.
Exploring the impact of family health care implementation on family resilience: Insights from friedman’s structural-functional theory Utami, Ressa Andriyani; Ramba, Hardin La; Nuraeni, Asti; Baua, Ma Elizabeth C; Locsin, Rozzano; Polnok, Sanglar
Science Midwifery Vol 13 No 2 (2025): June: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i2.1930

Abstract

Background The family plays a crucial role in maintaining the health and well-being of its members. One of its essential functions is health care, including disease prevention, caregiving, and health-related decision-making. This function becomes particularly important during times of crisis or illness. Family resilience refers to the ability of a family to adapt, recover, and grow stronger in the face of adversity. A strong health care function within the family may contribute positively to building this resilience. However, the direct relationship between family health care function and family resilience remains underexplored, especially in the Indonesian context. Understanding this relationship is important for developing family-based interventions to promote health and resilience. Therefore, this study aims to examine the correlation between family health care function and family resilience. Objectives This study aims to determine the relationship between the implementation of family health care functions and family reliability. Methods The design of this study is a correlation study with the type of analytical correlation research through a cross sectional study approach Results The results of the bivariate analysis can be concluded that there is a significant relationship between health care function and family resilience in respondents (p = 0.001). The results of the multivariate analysis can be concluded that respondents who have a high income have a 15,897 times chance of having good family reliability compared to those who have a low income. Conclusion The family needs to improve the function of family health care where the family must recognize health problems experienced by family members.
How to Interpret Categorical Data in Health Research? Nugroho, Heru Santoso Wahito; Polnok, Sanglar; Acob, Joel Rey Ugsang; Mamun, Abdullah Al; Hapsari, Rafif Naufi Waskitha; Aji, Rozan Asyrofi Rakyan Risang; Bahtiar, Bahtiar; Budiono, Arief; Handoyo, Handoyo; Koesmantoro, Hery; Sunarto, Sunarto; Rahayu, Teta Puji; Melati, Nimsi; Intening, Retno Vivi; Suparji, Suparji; Surtinah, N.; Ismoyowati, Tri Wahyuni; Auta, Tanko Titus
Aloha International Journal of Health Advancement (AIJHA) Vol 6, No 8 (2023): August
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha60805

Abstract

In health research, many categorical variables are found that must be analyzed using descriptive statistical methods, then interpreted. Currently, there are still many health researchers who interpret categorical variable data in the health sector in the same way as social research in general, namely focusing on the categories with the largest proportions. In fact, for health research, researchers should focus on the expression of unexpected categories. Therefore, this should be a concern for the health research community, especially in the campus environment as the first place for students and health researchers to study and apply various types of health research. This is an urgency, so that the quality of health research can be immediately improved, especially in terms of data interpretation. It was concluded that there were many errors in interpreting categorical variable data in the health sector, so this had to be anticipated from the time of education on campus. Keywords: health research; categorical variables; data interpretation; unexpected category
The Advantages of Factor Analysis as a Method of Testing Questionnaires in Health Research Nugroho, Heru Santoso Wahito; Mamun, Abdullah Al; Auta, Tanko Titus Titus; Bahtiar, Bahtiar; Polnok, Sanglar; Acob, Joel Rey Ugsang; Hammad, Hammad; Suiraoka, I Putu; Kristina, Ragu Harming
Aloha International Journal of Health Advancement (AIJHA) Vol 6, No 9 (2023): September
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha60901

Abstract

Questionnaires are a data collection method that is widely used in health research. Nowadays, the validity test that is often used to assess the quality of questionnaires is the item-total correlation test. This study aims to introduce another method that is often said to be better by experts, namely factor analysis. When compared with item-total correlation analysis, factor analysis has the advantages of: 1) it can reveal the latent structure of the variables being measured; 2) can capture multivariate variations; 3) can test construct validity, namely whether the questionnaire is able to measure concepts or constructs theoretically; 4) can determine how many factors are needed to explain the variance in the data. It was concluded that taking into account its advantages, factor analysis is the best choice for testing the validity of questionnaires in health research. Keywords: health research; questionnaire; validity test; categorical variables; factor analysis
Co-Authors Abdullah Al Mamun Acob, Joel Rey Ugsang Aji, Rozan Asyrofi Rakyan Risang Angelito E Alvarado, Angelito E Arief Budiono Asti Nuraeni AUTA, Tanko Titus Auta, Tanko Titus Titus Bahtiar Bahtiar Baua, Ma Elizabeth C David Ackah, David Hammad, Hammad Handoyo Handoyo Hapsari, Rafif Naufi Waskitha Heru Santoso Wahito Nugroho I Putu Suiraoka Intening, Vivi Retno Ismoyowati, Tri Wahyuni Koesmantoro, Hery Locsin, Rozzano Melati, Nimsi Ragu Harming Kristina Rahayu, Teta Puji Ramba, Hardin La Sunarto Sunarto Suparji Suparji Surtinah, N. Utami, Ressa Andriyani Wiwin Martiningsih