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Journal articles on the topic 'Family-based approach'

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Author: Grafiati

Published: 25 August 2023

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1

Hudziak, Jim, and Masha Y. Ivanova. "The Vermont Family Based Approach." Child and Adolescent Psychiatric Clinics of North America 25, no. 2 (April 2016): 167–78. http://dx.doi.org/10.1016/j.chc.2015.11.002.

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2

Althoff, Robert R. "79.1 The Vermont Family-Based Approach." Journal of the American Academy of Child & Adolescent Psychiatry 61, no. 10 (October 2022): S110. http://dx.doi.org/10.1016/j.jaac.2022.07.450.

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3

O'Neil, Jessica, Richard Terry, and Susan Connelly. "Family-based approach to anorexia nervosa." Osteopathic Family Physician 4, no. 6 (November 2012): 168–71. http://dx.doi.org/10.1016/j.osfp.2012.06.001.

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4

Ganeswara, Putu Ryan, and Cokorda Rai Adi Pramartha. "Ontology-based Approach for Klungkung Royal Family." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 4 (March 21, 2020): 497. http://dx.doi.org/10.24843/jlk.2020.v08.i04.p16.

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Kawitan genealogies form to strengthen family relations by staying in line with their ties. Today, there are many Balinese Hindu searches their heritance. This due to no explicit documentation about the family tree and the Balinese Hindu relies on people memories. To overcome this problem, we develop the ontology of the Family Tree Naritan Kawarya Narem Dalem Benculuk Tegeh Kori with Forward Chaining and Backward Chaining Search Method can overcome problems related to marriage lineage. By using the structured data in the form of an ontology, the computer agents and human will be able to find information related to their genealogy easily, so that there are no more people who are confused with their heritance. The ontology evaluation was conducted on the Nararya Dalem Benculuk Tegeh Kori's family tree. The initial result gave positive feedback toward further development of this ontology. Keywords : Ontology, Family Tree, Methontology

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5

Sawhney, JPS, and Kushal Madan. "Family-based approach in cardiovascular risk reduction." Lancet Global Health 9, no. 10 (October 2021): e1351-e1352. http://dx.doi.org/10.1016/s2214-109x(21)00404-6.

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6

Bowen, Gary L. "Family Life Satisfaction: A Value-Based Approach." Family Relations 37, no. 4 (October 1988): 458. http://dx.doi.org/10.2307/584120.

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7

Wilson, Stephan M., and Insoo Kim Berg. "Family-Based Services: A Solution-Focused Approach." Family Relations 43, no. 3 (July 1994): 353. http://dx.doi.org/10.2307/585435.

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8

Ogawa, Masakata. "Family-Based STS Education: a New Approach." Bulletin of Science, Technology & Society 9, no. 3 (June 1989): 239–44. http://dx.doi.org/10.1177/027046768900900307.

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9

Ogawa, Masakata. "Family-Based STS Education: a New Approach." Bulletin of Science, Technology & Society 9, no. 4 (August 1989): 239–44. http://dx.doi.org/10.1177/027046768900900407.

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10

Prystowsky, Eric. "ICD Replacement: A Family-Based Medicine Approach." Pacing and Clinical Electrophysiology 23, no. 12 (December 2000): 2022–23. http://dx.doi.org/10.1111/j.1540-8159.2000.tb00770.x.

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11

Austin, Erica Weintraub, J. Armstrong Shultz, M. K. Deen, M. Cohen, L. Parker, S. Calodich, T. Power, et al. "Family-based Media Literacy Approach to Improving Youth and Family Nutrition." Journal of Nutrition Education and Behavior 45, no. 4 (July 2013): S91. http://dx.doi.org/10.1016/j.jneb.2013.04.254.

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12

Zarski, John J., Harry J. Aponte, Catherine Bixenstine, and Pamela Cibik. "Beyond home-based family intervention: A multi-family approach toward change." Contemporary Family Therapy 14, no. 1 (February 1992): 3–14. http://dx.doi.org/10.1007/bf00891746.

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13

Jing Li, Jing Li, and Xueping Luo Jing Li. "Malware Family Classification Based on Vision Transformer." 電腦學刊 34, no. 1 (February 2023): 087–99. http://dx.doi.org/10.53106/199115992023023401007.

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<p>Cybersecurity worries intensify as Big Data, the Internet of Things, and 5G technologies develop. Based on code reuse technologies, malware creators are producing new malware quickly, and new malware is continually endangering the effectiveness of existing detection methods. We propose a vision transformer-based approach for malware picture identification because, in contrast to CNN, Transformer’s self-attentive process is not constrained by local interactions and can simultaneously compute long-range mine relationships. We use ViT-B/16 weights pre-trained on the ImageNet21k dataset to improve model generalization capability and fine-tune them for the malware image classification task. This work demonstrates that (i) a pure attention mechanism applies to malware recognition, and (ii) the Transformer can be used instead of traditional CNN for malware image recognition. We train and assess our models using the MalImg dataset and the BIG2015 dataset in this paper. Our experimental evaluation found that the recognition accuracy of transfer learning-based ViT for MalImg samples and BIG2015 samples is 99.14% and 98.22%, respectively. This study shows that training ViT models using transfer learning can perform better than CNN in malware family classification.</p> <p> </p>

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14

Riaz, Atif, Marin D. Guenov, and Arturo Molina-Cristobal. "Set-Based Approach to Passenger Aircraft Family Design." Journal of Aircraft 54, no. 1 (January 2017): 310–26. http://dx.doi.org/10.2514/1.c033747.

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15

Adamsons, Kari. "Handbook of Family Theories: A Content-Based Approach." Journal of Family Theory & Review 7, no. 4 (December 2015): 520–22. http://dx.doi.org/10.1111/jftr.12121.

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16

Falloon, Ian R. H., Haroutyan Krekorian, William J. Shanahan, Marc Laporta, and Sheila McLees. "A family-based approach to adult mental disorders." Journal of Family Therapy 15, no. 2 (May 1993): 147–61. http://dx.doi.org/10.1111/j.1467-6427.1993.00751.x.

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17

Kaslow, Nadine J., Marianne P. Celano, and Mark Stanton. "Training in Family Psychology: A Competencies-Based Approach." Family Process 44, no. 3 (September 2005): 337–53. http://dx.doi.org/10.1111/j.1545-5300.2005.00063.x.

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18

Vander Wal, Jillon S. "Treating Bulimia in Adolescents: A Family-Based Approach." Eating Disorders 15, no. 5 (November 7, 2007): 451–53. http://dx.doi.org/10.1080/10640260701667946.

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19

du Plessis, Theonie. "Treating Bulimia in Adolescents: A Family-Based Approach." Journal of Child & Adolescent Mental Health 20, no. 1 (August 2008): 63–64. http://dx.doi.org/10.2989/jcamh.2008.20.1.10.495.

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20

Chène, Patrick. "The ATPases: a new family for a family-based drug design approach." Expert Opinion on Therapeutic Targets 7, no. 3 (June 2003): 453–61. http://dx.doi.org/10.1517/14728222.7.3.453.

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21

Frelchels, Thomas Allen. "Clinical Application of Family Research: A Unit-based Approach." AACN Advanced Critical Care 2, no. 2 (May 1, 1991): 316–20. http://dx.doi.org/10.4037/15597768-1991-2018.

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The needs of family members with a critically ill relative present a significant challenge to nursing professionals in the intensive care unit. Initially, interventions aimed at providing focused information and relieving anxiety take precedence. As the crisis period passes, however, the family may need to reestablish familiar patterns of functioning. Thus, family assessment and intervention is vital throughout the course of the patient’s hospitalization. This article examines how a medical-respiratory intensive care unit has applied family need research in designing and implementing an ongoing family-based plan of care

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22

Khosroshahi, Ghodratolah, Zolfaghar Davodi, and Shamal Maskani. "Developmental prevention of violent crimes with family-based approach." Asian Journal of Research in Social Sciences and Humanities 4, no. 11 (2014): 238. http://dx.doi.org/10.5958/2249-7315.2014.01050.8.

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23

Xu, Kai, and Michael A. Hitt. "International strategies of family firms: An institution-based approach." Academy of Management Proceedings 2016, no. 1 (January 2016): 11646. http://dx.doi.org/10.5465/ambpp.2016.11646abstract.

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24

Kapoguzov, Evgeny A., and Roman I. Chupin. "Effectiveness of family policy in Russia: Evidence-based approach." Terra Economicus 19, no. 3 (September 25, 2021): 20–36. http://dx.doi.org/10.18522/2073-6606-2021-19-3-20-36.

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25

Roesler, Thomas A. "Treatment Manual for Anorexia Nervosa: A Family-Based Approach." Journal of Developmental & Behavioral Pediatrics 22, no. 3 (June 2001): 201–2. http://dx.doi.org/10.1097/00004703-200106000-00013.

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26

Stafford, Judith A. "Book Review: Family Based Services: A Solution-Focused Approach." Families in Society: The Journal of Contemporary Social Services 76, no. 5 (May 1995): 322–23. http://dx.doi.org/10.1177/104438949507600507.

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27

Nicholls, Dasha. "Treatment Manual for Anorexia Nervosa. A Family Based Approach." Child and Adolescent Mental Health 9, no. 4 (November 2004): 197. http://dx.doi.org/10.1111/j.1475-3588.2004.00104_7.x.

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28

EEKELAAR, JOHN. "From Multiculturalism to Cultural Voluntarism: A Family-based Approach." Political Quarterly 81, no. 3 (July 2010): 344–55. http://dx.doi.org/10.1111/j.1467-923x.2010.02098.x.

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29

Shafran, Roz. "Treatment manual for anorexia nervosa: A family-based approach." Behaviour Research and Therapy 40, no. 11 (November 2002): 1364–65. http://dx.doi.org/10.1016/s0005-7967(01)00116-4.

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30

Hsiao, Shih-Wen, and Elim Liu. "A structural component-based approach for designing product family." Computers in Industry 56, no. 1 (January 2005): 13–28. http://dx.doi.org/10.1016/j.compind.2004.10.002.

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31

Rodearmel, Susan J., Holly R. Wyatt, Mary J. Barry, Fang Dong, Dongmei Pan, Richard G. Israel, Susan S. Cho, Michael I. McBurney, and James O. Hill. "A Family-Based Approach to Preventing Excessive Weight Gain*." Obesity 14, no. 8 (August 2006): 1392–401. http://dx.doi.org/10.1038/oby.2006.158.

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32

Ashri Maulidina, Citra. "Family-Based Early Intervention Based on Family Outcomes for Families with Children with Multiple Disabilities." JIV-Jurnal Ilmiah Visi 18, no. 1 (June 30, 2023): 24–29. http://dx.doi.org/10.21009/jiv.1801.5.

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This study aims to formulate a family-based early intervention program for parents who have children with Multiple disabilities based on Family Outscomes. The background of this study is the lack of family information related to the identification of children with multiple disabilities, family confusion in handling children who experience multiple disabilities, and the absence of family confidence in the situation of their children in the social environment. The subjects in this study were parents who had Children with Multiple Disabilitiesin this case were children with Cerebral Palsy who experienced obstacles in motor, cognitive, social & emotional, and language aspects and intellectual barriers. This research approach is a qualitative approach with three stages of research, namely assessment, validation, and implementation. The result of this study is an increase in family understanding of the child's condition, the occurrence of stimulation carried out by the family to the child, the family has begun to want to socialize their children in the surrounding social environment. The results and discussion of further research are discussed in this study.

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33

An, Hui, Chang-shuai Wei, Oliver Wang, Da-hui Wang, Liang-wen Xu, Qing Lu, and Cheng-yin Ye. "An ensemble-based likelihood ratio approach for family-based genomic risk prediction." Journal of Zhejiang University-SCIENCE B 19, no. 12 (December 2018): 935–47. http://dx.doi.org/10.1631/jzus.b1800162.

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34

Barroso Martínez, Ascensión, Ramón Sanguino Galván, and Tomas M. Bañegil Palacios. "El enfoque basado en el conocimiento en las empresas familiares." Investigación Administrativa 41-1 (January 1, 2012): 1–8. http://dx.doi.org/10.35426/iav41n109.05.

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Aunque algunas investigaciones sobre gestión del conocimiento se han centrado en las pequeñas y medianas empresas, existen escasos trabajos centrados en las empresas familiares. Las prácticas de gestión del conocimiento son una fuente importante de ventaja competitiva, que permiten a una organización ser innovadora. Estudios anteriores muestran que una de las causas del fracaso de las empresas familiares es la falta de voluntad de los miembros de la familia para crear y transferir conocimientos entre generaciones. Por ello, este trabajo se centra en el estudio de la estrategia basada en conocimiento (EBC) en las empresas familiares. Como conclusión, la gestión del conocimiento es considerado un activo estratégico clave que puede estar positivamente asociado con mayores niveles de rendimiento.

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35

Swift, Pamela J., Lauren Dewey, Masha Y. Ivanova, DeShan Foret, Emily Flanders, Lakshmi Plasha, Phoenix Crockett, Allison Hall, Andrew Rosenfeld, and James J. Hudziak. "6.52 Incorporating Family-Based Care Into Outpatient Child/Adolescent Psychiatry: Initial Findings Implementing the Vermont Family-Based Approach." Journal of the American Academy of Child & Adolescent Psychiatry 57, no. 10 (October 2018): S265. http://dx.doi.org/10.1016/j.jaac.2018.09.413.

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36

DEKA, A. M., P. K. DEBCHOUDHURY, and B. KALITA. "Rice-based cropping system approach for increasing farm family income." Journal of Crop and Weed 16, no. 3 (January 1, 2020): 129–35. http://dx.doi.org/10.22271/09746315.2020.v16.i3.1377.

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37

Ding, Chao, Nurbol Luktarhan, Bei Lu, and Wenhui Zhang. "A Hybrid Analysis-Based Approach to Android Malware Family Classification." Entropy 23, no. 8 (August 3, 2021): 1009. http://dx.doi.org/10.3390/e23081009.

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With the popularity of Android, malware detection and family classification have also become a research focus. Many excellent methods have been proposed by previous authors, but static and dynamic analyses inevitably require complex processes. A hybrid analysis method for detecting Android malware and classifying malware families is presented in this paper, and is partially optimized for multiple-feature data. For static analysis, we use permissions and intent as static features and use three feature selection methods to form a subset of three candidate features. Compared with various models, including k-nearest neighbors and random forest, random forest is the best, with a detection rate of 95.04%, while the chi-square test is the best feature selection method. After using feature selection to explore the critical static features contained in this dataset, we analyzed a subset of important features to gain more insight into the malware. In a dynamic analysis based on network traffic, unlike those that focus on a one-way flow of traffic and work on HTTP protocols and transport layer protocols, we focused on sessions and retained protocol layers. The Res7LSTM model is then used to further classify the malicious and partially benign samples detected in the static detection. The experimental results show that our approach can not only work with fewer static features and guarantee sufficient accuracy, but also improve the detection rate of Android malware family classification from 71.48% in previous work to 99% when cutting the traffic in terms of the sessions and protocols of all layers.

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38

Lee, Kheng H., Sandy Cook, and Robert Kamei. "Teaching family medicine: a longitudinal and modular competency-based approach." Medical Education 46, no. 11 (October 18, 2012): 1102. http://dx.doi.org/10.1111/medu.12023.

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39

Chagoya, Leopoldo. "Book Review: Family Evaluation: An Approach Based on Bowen Theory." Canadian Journal of Psychiatry 35, no. 7 (October 1990): 640–42. http://dx.doi.org/10.1177/070674379003500719.

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40

Le Grange, Daniel. "Family-based treatment for adolescent anorexia nervosa: A promising approach?" Clinical Psychologist 8, no. 2 (November 2004): 56–63. http://dx.doi.org/10.1080/13284200412331304018.

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41

Anaby, Dana, and Kinga Pozniak. "Participation‐based intervention in childhood disability: a family‐centred approach." Developmental Medicine & Child Neurology 61, no. 5 (January 18, 2019): 502. http://dx.doi.org/10.1111/dmcn.14156.

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42

Sheidow, Ashli J., and Mark S. Woodford. "Multisystemic Therapy: An Empirically Supported, Home-Based Family Therapy Approach." Family Journal: Counseling and Therapy for Couples and Families 11, no. 3 (July 1, 2003): 257–63. http://dx.doi.org/10.1177/1066480703011003004.

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43

Sheidow, Ashli J., and Mark S. Woodford. "Multisystemic Therapy: An Empirically Supported, Home-Based Family Therapy Approach." Family Journal 11, no. 3 (July 2003): 257–63. http://dx.doi.org/10.1177/1066480703251889.

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44

Celano, Marianne P., Chaundrissa Oyeshiku Smith, and Nadine J. Kaslow. "A competency-based approach to couple and family therapy supervision." Psychotherapy: Theory, Research, Practice, Training 47, no. 1 (2010): 35–44. http://dx.doi.org/10.1037/a0018845.

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45

Olopade, Olufunmilayo. "A family-based approach to primary prevention of breast cancer." Journal of Clinical Oncology 27, no. 15_suppl (May 20, 2009): s2. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.s2.

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s2 We are currently focusing on the interplay of genes and environment in the development of estrogen receptor (ER)-negative breast cancer, which is aggressive, less responsive to treatment, and more likely to strike young women and those of African ancestry. Unfortunately, there are no strategies to prevent ER-negative breast cancer and research is urgently needed. Nevertheless, we have made progress in understanding genetic risk factors for some familial forms of breast cancer, which is reason enough to adopt family-based interventions for breast cancer prevention, especially among families with identifiable highly penetrant mutations in breast cancer susceptibility genes. In 1997, I chaired the ASCO Task Force on Cancer Genetics Education, charged to educate oncologists about the importance of genetics in clinical oncology practice. Since then, a growing body of evidence documents the benefits of preventive measures with minimal risk to women with identifiable highly penetrant mutations in BRCA1 and BRCA2 genes. Whereas other genes, such as TP53 in Li-Fraumeni Syndrome and PTEN in Cowden syndrome, contribute to a small fraction of hereditary breast cancer, mutations in these genes are rare. Germ-line mutations in BRCA1 or BRCA2 are strong predictors of breast and/or ovarian cancer development, and the contribution of these mutations to breast cancer risk within any specific population is a function of both their prevalence and penetrance. Mutation prevalence varies among ethnic groups and may be influenced by founder mutations as observed in Ashkenazi Jews and Icelanders. Although estimates of mutation prevalence and penetrance rates are inconsistent and occasionally controversial, understanding them is critical for providing individualized risk assessment. Although the contribution of other genes to early onset and familial breast cancer needs clarification, genetic testing for BRCA1 and BRCA2 has become standard of care and an important component of personalized breast cancer risk assessment and prevention.

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46

Laird, Nan M., Steve Horvath, and Xin Xu. "Implementing a unified approach to family-based tests of association." Genetic Epidemiology 19, S1 (2000): S36—S42. http://dx.doi.org/10.1002/1098-2272(2000)19:1+<::aid-gepi6>3.0.co;2-m.

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47

Wang, Jiliang, Bernard Yannou, Fabrice Alizon, and Pierre-Alain Yvars. "A usage coverage-based approach for assessing product family design." Engineering with Computers 29, no. 4 (March 28, 2012): 449–65. http://dx.doi.org/10.1007/s00366-012-0262-1.

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48

Thompson, Heather M., Armeda Stevenson Wojciak, and Morgan E. Cooley. "Family-based approach to the child welfare system: an integration of Bowen family theory concepts." Journal of Family Social Work 22, no. 3 (March 21, 2019): 231–52. http://dx.doi.org/10.1080/10522158.2019.1584776.

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49

Lightburn, Anita, and Susan P. Kemp. "Family-Support Programs: Opportunities for Community-based Practice." Families in Society: The Journal of Contemporary Social Services 75, no. 1 (January 1994): 16–26. http://dx.doi.org/10.1177/104438949407500102.

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The authors present guidelines for social work practice in the growing, interdisciplinary field of family-support programs. The history and contemporary form of family-support programs are described, and a “best practice” approach is delineated. Emergent areas are discussed, and the salience of social work's contribution in family-support programs is identified. Innovative aspects of the family-support approach include family-building and family-strengthening activities, an educational framework for intervention, the mediating function of family support, and multilevel approaches to developing community.

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50

Kurniawan, Rico, Ryza Jazid Baharuddin Nur, Sayekti Yuliyanti, Dion Zein Nuridzin, and Neng Tine Kartinah. "Healthy family index assessment through community-based health information system approach." International Journal of Public Health Science (IJPHS) 10, no. 2 (June 1, 2021): 394. http://dx.doi.org/10.11591/ijphs.v10i2.20751.

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The healthy Indonesia program with a family approach (<em>PIS-PK</em>) has not been implemented optimally. There are several obstacles and challenges in this program’s implementation, e.g., human resources. A community-based health information system (CBHIS) is a strategic approach to obtain data and information at the population level by directly involving cadres and the community. A project with the CBHIS approach was implemented in Kasemen Village, Serang, Banten Province, Indonesia to support the <em>PIS-PK</em> program. The study aimed to determine the population’s health status according to the healthy family index through the CBHIS approach. The data of healthy family indicators in the village were collected by cadres using a mHealth application. Overall, 1316 households consisting of 5312 residents were registered. The analysis results of the healthy family index showed that most families in the Kasemen subdistrict were pre-healthy (64.2%), almost one third were unhealthy (27.8%) and only a small proportion were healthy (8%). Assessing the healthy family index through the CBHIS approach can support decision-making at the community level, thereby determining the magnitude of family health problems and providing appropriate interventions to improve community health status. Well-trained cadres equipped with better electronic data collection tools may be an alternative to community-based data collection.

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