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Journal articles on the topic 'Dropout Prevention'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

ERTEKİN, Gülşah. "AN INVESTIGATION OF HIGH SCHOOL DROUPOUT INTERVENSION PROGRAMS." SOCIAL SCIENCE DEVELOPMENT JOURNAL 7, no. 31 (2022): 62–70. http://dx.doi.org/10.31567/ssd.612.

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Preventing high school dropout is a serious problem that many countries has to face nowadays.To continue education young people is quite important both themselves and for the welfare of society. Have a quality of education background is enhance individuals’ self confidence and improve quality of life as a result it also effects welfare of the society. However, dropouts have economic insufficiency and also they don’t have health ınsurance so they can’t provide their families.. For this reason goverments developing school based prevention programs for support dropout students. Thi studies select

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2

Montecel, María Robledo, Josie D. Cortez, and Albert Cortez. "Dropout-Prevention Programs." Education and Urban Society 36, no. 2 (2004): 169–88. http://dx.doi.org/10.1177/0013124503261327.

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Hernández-Rodríguez, Juan-Carlos, Cristina García-Muñoz, Juan Ortiz-Álvarez, Francesc Saigí-Rubió, Julián Conejo-Mir, and Jose-Juan Pereyra-Rodriguez. "Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression." Journal of Medical Internet Research 24, no. 12 (2022): e42397. http://dx.doi.org/10.2196/42397.

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Background Digital strategies are innovative approaches to the prevention of skin cancer, but the attrition following this kind of intervention needs to be analyzed. Objective The aim of this paper is to assess the dropouts from studies focused on digital strategies for the prevention of skin cancer. Methods We conducted this systematic review with meta-analyses and metaregression according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statements. Search terms for skin cancer, digital strategies, and prevention were combined to search PubMed, Scopus, Web of

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4

Lee, Jung Hun. "A Study on Cyber University Dropout Prevention Learning Model and Factor Analysis." Education Research Institute 22, no. 4 (2024): 65–83. https://doi.org/10.31352/jer.22.4.65.

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This study used Learning Analysis data to analyze the factors that influence cyber university students' dropout. This dropout prevention prediction model that incorporates Learning Analysis was presented for reducing dropout rates. For this purpose, H Cyber University students were divided into an experimental group and a control group, and a difference analysis (T-test) was performed. Logistic regression analysis was conducted on independent factors affecting dropout. The results of the study are as follows: First, for the experimental group, academic continuity (re-enrollment) was 93.3% (373

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BAN, RAHELA ANEMONA, and ALINA COSTIN. "EXPLORING THE TOPIC OF SCHOOL DROPOUT. NARRATIVE REVIEW OF ACADEMIC LITERATURE." Journal Plus Education 37, no. 1 (2025): 491–500. https://doi.org/10.24250/jpe/1/2025/rab/ac/.

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School dropout is a significant problem area in many European countries, including Romania, with serious economic, social and educational implications (Gorghiu, et al., 2020; Popeducational policies in the EU and Romania that prevent school dropout. We used the ERIC and Google Scholar search engines using the key terms school dropout, policies, school dropout prevention. 21 articles were selected and included in the narrative review. The study aims to identify the determinants of school dropout and evaluate the measures implemented to prevent it. The results indicate that policies that include

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Kapeliuk, Adi, Yoram Reich, and Roni Bar‐Lev. "Knowledge system for dropout prevention." International Journal of Educational Management 18, no. 6 (2004): 342–50. http://dx.doi.org/10.1108/09513540410553997.

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7

Shah, Naseer Ali, Shahida Sajjad, and Fouzia Rehman. "Causes and Prevention of Dropouts of Students in Higher Secondary Schools of Quetta." Journal of Social Sciences and Media Studies 7, no. 1 (2023): 25–33. http://dx.doi.org/10.58921/jossams.07.01.0249.

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Education is an essential facet of any country's development, which can have a direct influence on the growth,development, and progress of its citizens. A cause for concern in this study is that education is a key factor in any country'sgrowth & development. The incapability to complete the academic program leads to negative impacts on the students'lives in terms of prospects and overall development. Therefore, it has to be investigated the main dropout reasons in thecountry as well as the implementing strategies to overcome these issues. Regrettably, the dropout rate of students at higher

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8

Guzman Rincón, Alfredo, Sandra Barragán, Federico Cosenz, and Favio Cala Vitery. "Prevention and Mitigation of Rural Higher Education Dropout in Colombia: A Dynamic Performance Management Approach." F1000Research 12 (June 1, 2023): 497. http://dx.doi.org/10.12688/f1000research.132267.2.

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Background: Dropout in higher education is a socio-educational phenomenon that has the scope to limit the benefits of education as well as to widen social disparities. For this reason, governments have implemented various public policies for its prevention and mitigation. However, in rural populations, such policies have proven to be ineffective. The aim of this paper is to simulate public policy scenarios for the treatment of school dropout in rural higher education in Colombia from a Dynamic Performance Management approach. Methodology: To achieve the aim, a parameterised simulation model wa

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9

Nicole, C. West. "HIGH SCHOOL DROPOUT FACTORS: IS THE TREND CHANGING AND WHAT STRATEGIES ARE NEEDED?" Journal of Education and Social Development 7, no. 1 (2023): 9–19. https://doi.org/10.5281/zenodo.8049899.

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Low high school graduation and high dropout rates remain issues in the United States. A gap in rates among ethnicities is observable from national dropout data and suggests the need to consider factors associated with dropping out, given that often intervention and prevention strategies fail to target factors associated with students at risk of school failure. A mixed-methods study explored differences in archived dropout rates over a period of 12 years and teachers' perceptions of dropout factors for two high schools in a large urban school district in Southeast Texas.  The results r

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10

Ziomek-Daigle, Jolie, and P. Gayle Andrews. "Dropout Prevention in the Middle Grades." Middle School Journal 40, no. 5 (2009): 54–60. http://dx.doi.org/10.1080/00940771.2009.11461694.

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11

Viglino, Giusto, Carmen Gandolfo, Giovambattista Virga, and Pier Luigi Cavalli. "Prevention of Infection Dropout in Pd." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 16, no. 1_suppl (1996): 355–62. http://dx.doi.org/10.1177/089686089601601s68.

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12

Aflalo, Ester, and Eyal Gabay. "An information system for dropout prevention." Education and Information Technologies 17, no. 2 (2011): 233–50. http://dx.doi.org/10.1007/s10639-011-9156-x.

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13

Tokarski, Walter, Antonis Tosounidis, and George F. Zarotis. "Dropout & Prevention in Fitness Sports." Saudi Journal of Humanities and Social Sciences 8, no. 08 (2023): 234–39. http://dx.doi.org/10.36348/sjhss.2023.v08i08.003.

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High drop-out rates in sports programmes, both health and therapeutic sports, are not exceptional. Long-term retention of active athletes is a problem. This is equally true for fitness training in fitness clubs, where about half of the active individuals drop out prematurely. The aim of this study is to create a comprehensive inventory of the dropout problem and the prevention of it in fitness sports. From the results obtained, recommendations for action can be derived to increase customer satisfaction in fitness facilities and thus reduce the dropout rate in the long term. Methodologically, a

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14

Gruenhagen, Katheen A. "Appalachian Special Education Students Dropping Out of School: Looking at the Whos and Whys." Rural Special Education Quarterly 12, no. 2 (1993): 14–20. http://dx.doi.org/10.1177/875687059301200204.

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Although the literature suggests there is a high rate of dropping out of school even among students receiving special education, there is a paucity of research dealing with circumstances surrounding the special education student who leaves school prematurely. This study investigated the characteristics, reasons, and unmet school needs of students with disabilities who have dropped out of school in seventeen southern Appalachian counties. Data were collected on 135 student dropouts by polling those teachers who reported having dropouts. Results indicated that the average dropout was a 16 year o

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15

Stem, David, Charles Dayton, IL-Woo Paik, and Alan Weisberg. "Benefits and Costs of Dropout Prevention in a High School Program Combining Academic and Vocational Education: Third-Year Results from Replications of the California Peninsula Academies." Educational Evaluation and Policy Analysis 11, no. 4 (1989): 405–16. http://dx.doi.org/10.3102/01623737011004405.

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This paper reports 1987–88 results from an evaluation of 11 academy programs in California high schools. Academies are schools within schools, combining academic and vocational courses in a program designed to reduce dropout rates. The evaluation used a matched comparison group for each cohort of academy students at each site. Results for in-school outcomes were generally positive. Focusing on one grade-level cohort for which graduation rates are available, the number of dropouts saved was estimated, along with the costs and economic benefits to society. The estimated net benefit from dropout

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16

V, Jean Shilpa, Kandaneri Ramamoorthy Saravanan, and Sridevi S. "An AI-Driven Predictive Model for Early Detection and Prevention of Student Dropouts." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 1 (2024): 8–17. https://doi.org/10.5281/zenodo.13745100.

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<em>Student dropouts represent a significant challenge in educational institutions, often leading to reduced academic success and resource inefficiency. To address this issue, this paper presents an AI-driven predictive model designed for the early detection and prevention of student dropouts. By leveraging machine learning algorithms and historical student data, the model identifies at-risk students based on academic performance, engagement metrics, attendance records, and socio-demographic factors. The predictive model uses classification techniques to flag potential dropouts and provides re

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17

Young Seok Seo, 최정윤, 박성화, 최유리, 이은정, and 김재훈. "A Review of Dropout Prevention Programs for Students at Risk of Dropout." Korean Journal of School Psychology 12, no. 3 (2015): 407–36. http://dx.doi.org/10.16983/kjsp.2015.12.3.407.

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18

Mitsikostas, Dimos D., Leonidas I. Mantonakis, and Nikolaos G. Chalarakis. "Nocebo is the enemy, not placebo. A meta-analysis of reported side effects after placebo treatment in headaches." Cephalalgia 31, no. 5 (2011): 550–61. http://dx.doi.org/10.1177/0333102410391485.

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The aim was to determine the magnitude of the nocebo (adverse effects following placebo administration) in clinical trials for primary headache disorders. We reviewed randomized, placebo-controlled studies for migraine, tension-type headache (TTH), and cluster headache treatments published between 1998 and 2009. The frequency of nocebo was estimated by the percentage of placebo-treated patients reporting at least one adverse side effect. The dropout frequency was estimated by the percentage of placebo-treated patients who discontinued the treatment due to intolerance. In studies of symptomatic

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19

Guzman Rincón, Alfredo, Sandra Barragán, Federico Cosenz, and Favio Cala Vitery. "Prevention and Mitigation of Rural Higher Education Dropout in Colombia: A Dynamic Performance Management Approach." F1000Research 12 (May 15, 2023): 497. http://dx.doi.org/10.12688/f1000research.132267.1.

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Dropout is a socio-educational phenomenon that has the scope to limit the benefits of higher education, as well as widen social disparities. For this reason, governments have implemented various public policies for its prevention and mitigation. However, in rural populations, such policies have proven to be inefficient. This paper aims to simulate public policy scenarios for the treatment of dropout in rural higher education from a Dynamic Performance Management perspective. This method supports policymakers in better understanding the core dynamics underlying the rise of this phenomenon, thus

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20

Rosenberg, Howard, Wendy Cheyney, and Barry Greenberg. "Dropout Prevention in Vocational Special Needs Education." Career Development for Exceptional Individuals 14, no. 1 (1991): 91–99. http://dx.doi.org/10.1177/088572889101400108.

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21

Wilkins, Julia, and Loujeania Williams Bost. "Dropout Prevention in Middle and High Schools." Intervention in School and Clinic 51, no. 5 (2015): 267–75. http://dx.doi.org/10.1177/1053451215606697.

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22

Delaney, Bruce, and Wellesley T. Corbett. "Students Serving Students: A Dropout-Prevention Program." Clearing House: A Journal of Educational Strategies, Issues and Ideas 68, no. 1 (1994): 12–14. http://dx.doi.org/10.1080/00098655.1994.11478611.

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23

Wilhoit, Ronald J., and Sharon Roesch. "Attitude Behavior Change: a Dropout Prevention Program." NASSP Bulletin 73, no. 517 (1989): 130–34. http://dx.doi.org/10.1177/019263658907351722.

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24

Mann, Dale. "Effective Schools as a Dropout Prevention Strategy." NASSP Bulletin 73, no. 518 (1989): 77–83. http://dx.doi.org/10.1177/019263658907351815.

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Alhamad, Ibrahim Abdullah, and Harman Preet Singh. "Predicting dropout at master level using educational data mining: A case of public health students in Saudi Arabia." Revista Amazonia Investiga 13, no. 74 (2024): 264–75. http://dx.doi.org/10.34069/ai/2024.74.02.22.

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Student dropout and its economic and social consequences are significant issues in developing countries. Students who drop out experience reduced employment prospects and encounter social stigma. While early dropout prediction can assist in mitigating the consequences, it remains a considerable challenge. The present research employed a data mining approach to predict dropout of public health master-level students in Saudi Arabia, a developing nation that has invested considerable resources to promote higher education. The research model focused on three fundamental determinants of students’ d

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26

Adan, Mohamed Abdikarim. "Dropout Crisis in Puntland Secondary Schools: Analyzing the Causes and Developing Preventive Strategies." East African Journal of Education Studies 8, no. 2 (2025): 471–83. https://doi.org/10.37284/eajes.8.2.3036.

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Puntland State of Somalia is facing a dropout crisis. An estimated 35% of high school students who enrolled in secondary schools in the fall of 2020 failed to graduate four years later in 2024. Addressing this dropout crisis requires a better understanding of the reasons behind students’ dropout. This paper investigates the root causes of dropout among secondary schools in Puntland State of Somalia and proposes evidence-based dropout prevention solutions. The study used a descriptive research design and a quantitative research approach. The data were gathered by using a structured and contextu

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Catterall, James S. "The Societal Benefits and Costs of School Dropout Recovery." Education Research International 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/957303.

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This article reports an analysis of the societal benefits and costs of recovering school dropouts. Successful recovery is defined by subsequent graduation from high school. The analysis is based on established estimates of the societal costs of dropping out including reduced government tax collections and higher social costs of welfare, healthcare, and crime. These potential costs are cast as benefits when a dropout is recovered. A large dropout recovery program provides the setting for the analysis. Rigorous attention is given to accurate estimation of the number of students who would not hav

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Chansa, Jackson, and Jameson Mbale. "Leveraging Artificial Intelligence - Driven Automata for Improved Dropout Prediction in Schools." Zambia ICT Journal 8, no. 1 (2025): 29–33. https://doi.org/10.33260/zictjournal.v8i1.338.

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This work investigates the use of Artificial Intelligence - driven automata to predict student dropout risks, emphasizing how artificial intelligence can enhance educational sustainability. By integrating automata theory with cutting-edge machine learning techniques, the study develops a predictive framework to identify students at high risk of dropping out. The research includes a thorough review of automata theory, Artificial Intelligence applications in education, and current dropout prevention strategies. Using automata-based algorithms, we analyze educational datasets to model student beh

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Stoner, Marie C. D., Katherine B. Rucinski, Jessie K. Edwards, et al. "The Relationship Between School Dropout and Pregnancy Among Adolescent Girls and Young Women in South Africa: A HPTN 068 Analysis." Health Education & Behavior 46, no. 4 (2019): 559–68. http://dx.doi.org/10.1177/1090198119831755.

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Background. Prevention of both school dropout and teen pregnancy represent clear public health priorities for South Africa, yet their complex and potentially cyclical relationship has not been fully explored. Objective. To further understand how this relationship operates, we analyzed data from a randomized trial of young women aged 13 to 20 years enrolled in school in rural South Africa to estimate the association between pregnancy and subsequent dropout and between dropout and subsequent pregnancy. Method. We examined inverse probability (IP) of exposure-weighted survival curves for school d

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Gerics, Joseph, and Miriam Westheimer. "Dropout Prevention: Trinkets and Gimmicks or Deweyan Reconstruction?" Teachers College Record: The Voice of Scholarship in Education 90, no. 1 (1988): 41–60. http://dx.doi.org/10.1177/016146818809000103.

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Gibson, Margaret A., and Livier F. Bejinez. "Dropout Prevention: How Migrant Education Supports Mexican Youth." Journal of Latinos and Education 1, no. 3 (2002): 155–75. http://dx.doi.org/10.1207/s1532771xjle0103_2.

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32

Bucci, John A., and Ann F. Reitzammer. "Teachers Make the Critical Difference in Dropout Prevention." Educational Forum 57, no. 1 (1993): 63–70. http://dx.doi.org/10.1080/00131729209335387.

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33

McDonald, Neill, and Elizabeth Wright. "Speaking Out: MOP: A Strategy for Dropout Prevention." Clearing House: A Journal of Educational Strategies, Issues and Ideas 60, no. 8 (1987): 367–68. http://dx.doi.org/10.1080/00098655.1987.9959376.

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34

Mann, Dale. "Dropout Prevention—Getting Serious About Programs That Work." NASSP Bulletin 70, no. 489 (1986): 66–73. http://dx.doi.org/10.1177/019263658607048913.

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35

Chinien, Christian A., and France Boutin. "Qualitative Assessment of Cognitive-based Dropout Prevention Strategy." High School Journal 85, no. 2 (2000): 1–11. http://dx.doi.org/10.1353/hsj.2001.0021.

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36

White, Susan Williams, and F. Donald Kelly. "The School Counselor's Role in School Dropout Prevention." Journal of Counseling & Development 88, no. 2 (2010): 227–35. http://dx.doi.org/10.1002/j.1556-6678.2010.tb00014.x.

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37

Trusty, Jerry. "Counseling for Dropout Prevention: Applications From Multicultural Counseling." Journal of Multicultural Counseling and Development 24, no. 2 (1996): 105–17. http://dx.doi.org/10.1002/j.2161-1912.1996.tb00293.x.

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Tókos, Katalin, Judit Takácsné Kárász, Nóra Rapos, Sándor Lénárd, and Judit Szivák. "Classroom learning environments and dropout prevention in Hungary." European Journal of Education 58, no. 4 (2023): 741–58. http://dx.doi.org/10.1111/ejed.12591.

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AbstractEarly school leaving is an outcome of complex and long‐term processes comprising personal, institutional, and systemic factors. Studies on individuals in Hungary have identified a connection between early school leaving and teaching practices at schools. The creation of supportive learning environments in turn can contribute to preventing early school leaving. This article reports on findings from a cross‐sectional study conducted in Hungary between 2018 and 2021 in the context of the project HRDOP–3.1.2‐16‐2016‐0000 Renewal of the public education methodology to reduce early school le

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Ji, Miyoung, Hyeongju Lee, and Changun Park. "Comparative Analysis of Dropout Prevention Policies in South Korea and Japan." Korean Comparative Education Society 34, no. 5 (2024): 129–60. http://dx.doi.org/10.20306/kces.2024.34.5.129.

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[Purpose] This study analyzes the 2023 dropout prevention policies in South Korea and Japan to inform South Korea's approach. It focuses on increasing dropout rates and the challenges faced by students without external support post-COVID-19. [Method] Using Kohn's (1989) classification, it categorizes policies into three areas: academic strategies, psychological support, and environmental improvements. [Results] South Korea prioritizes early identification and tailored support for at-risk students, including alternative education and vocational training for out-of-school youth, supported by a d

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Stepanovic-Ilic, Ivana, Oliver Toskovic, Ksenija Krstic, and Marina Videnovic. "Dropout at university level in Serbia: Analysis of measurement, research findings, services and prevention measures." Zbornik Instituta za pedagoska istrazivanja 52, no. 2 (2020): 479–519. http://dx.doi.org/10.2298/zipi2002479s.

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Dropout in higher education attracts great attention due to serious effects on an individual and on society. This is an exploratory study aimed at: analysing drop?out measurement and tracking in the Serbian higher education, reviewing studies on dropout causes, and identifying available services and prevention measures. Various techniques are used to achieve these goals (statistics analysis, literature review, qualitative content analysis). Our results show that: 1. There are no accepted dropout definitions nor official statistics, but some rate estimate could be given; 2. Research is not syst

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Scheel, Michael John, Soumya Madabhushi, and Autumn Backhaus. "The Academic Motivation of At-Risk Students in a Counseling Prevention Program." Counseling Psychologist 37, no. 8 (2009): 1147–78. http://dx.doi.org/10.1177/0011000009338495.

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School dropout is a problem that has distressing personal and societal consequences. Not surprising, students who drop out are typically not academically motivated. This phenomenological study examined the meanings that students construct about academic motivation while participating in a dropout prevention program that primarily uses counseling. Twenty interviews were conducted and transcribed. Six themes emerged from 172 significant statements and corresponding meaning units: self-efficacy, purpose of school, family influences, relationships at school, counselor influence, and school structu

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Maduro Silva, Denise Bianca, and Ana Miranda. "Políticas de prevenção à evasão escolar na educação técnica Argentina: Estratégias, alcances e perspectivas de atores institucionais." education policy analysis archives 28 (December 14, 2020): 186. http://dx.doi.org/10.14507/epaa.28.5456.

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This article analyses public policy programs for dropout prevention in the vocational upper secondary school in Argentina between 2003 and 2015. The study grounds on documents (reports, laws, and regulations) as well as interviews with officials of the Institute of Technological Education of the Ministry of Education from Argentina and in three technical schools maintained by the State in the City of Buenos Aires. Through a qualitative approach, the documents and the participants' discourse and narratives were analyzed under the categories: understanding the diagnosis of school dropout; thinki

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Adhikari, Min Raj. "Student Dropout and Institutional Preventive Measures in Tribhuvan University’s One-Year ODL Programme." Teacher Half-Yearly Journal 17, no. 1 (2025): 142–60. https://doi.org/10.3126/thj.v17i1.77883.

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The Open and Distance Learning (ODL) Programme offers opportunities for learners to enhance their academic qualifications without leaving their jobs or professions. In 2019, Tribhuvan University launched a one-year ODL Programme in M.Ed Science and PGD in Social Studies Education at Mahendra Ratna Campus, Kathmandu. This study aims to investigate the reasons for student dropout and propose prevention strategies, specifically focusing on the one-year ODL Programme of Tribhuvan University. Data was collected through a self-administered questionnaire using a Google Survey form, targeting all 103

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Knesting-Lund, Kimberly, Dustin Reese, and Robert Boody. "Teachers’ Perceptions of High School Dropout and Their Role in Dropout Prevention: An Initial Investigation." Journal of Studies in Education 3, no. 4 (2013): 57. http://dx.doi.org/10.5296/jse.v3i4.4281.

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Wexler, Jade, and Nicole Pyle. "Dropout Prevention and the Model-Minority Stereotype: Reflections from an Asian American High School Dropout." Urban Review 44, no. 5 (2012): 551–70. http://dx.doi.org/10.1007/s11256-012-0207-4.

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46

Jung, Eunsil, and Jaehong Song. "Effects of the Metaphor-using Self-Reflection Program (M-SRP) on Improving the Quality of Life of High School Students at Risk of Dropping Out." Research Institute of Education Science, Jeju National University 27, no. 1 (2025): 63–97. https://doi.org/10.15564/jeju.2025.3.31.1.63.

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The purpose of this study is to develop and verify the effectiveness of the Metaphor-using Self-Reflection Program (M-SRP) for preventing dropout among high school students at risk of dropping out. M-SRP was designed based on prior research and needs analysis, and its effectiveness was evaluated using a nonequivalent control group pretest-posttest design. M-SRP was developed by defining two domains of self-reflection (self and relationships) and structuring the process into three stages (awareness, understanding, and practice). The study participants were 19 high school students at risk of dro

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Daly, Jennifer E., and Susan Pelowski. "Predictors of Dropout Among Men Who Batter: A Review of Studies With Implications for Research and Practice." Violence and Victims 15, no. 2 (2000): 137–60. http://dx.doi.org/10.1891/0886-6708.15.2.137.

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Identifying the characteristics of men who drop out of batterers’ programs is crucial for prevention, intervention, and research. This article reviews studies of program attrition to establish a description of men who fail to complete group-based batterers’ interventions. Studies indicate that men who drop out are more likely to be unemployed, be unmarried and/or childless, have lower incomes, and less education than men who remain. Dropouts are also more likely to have a criminal history, to report substance abuse or related problems, and to present with particular relationship concerns or or

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48

Kim Gihwa. "Teacher’s Experience in Supervising Adolescent School Dropouts and Development of Dropout Prevention Plan in Schools." Journal of Education & Culture 23, no. 5 (2017): 273–94. http://dx.doi.org/10.24159/joec.2017.23.5.273.

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49

Moshe, Isaac, Yannik Terhorst, Sarah Paganini, et al. "Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials." Journal of Medical Internet Research 24, no. 8 (2022): e38261. http://dx.doi.org/10.2196/38261.

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Background Depression is a common comorbid condition in individuals with chronic back pain (CBP), leading to poorer treatment outcomes and increased medical complications. Digital interventions have demonstrated efficacy in the prevention and treatment of depression; however, high dropout rates are a major challenge, particularly in clinical settings. Objective This study aims to identify the predictors of dropout in a digital intervention for the treatment and prevention of depression in patients with comorbid CBP. We assessed which participant characteristics may be associated with dropout a

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Md Nor, Sharifah, Samsilah Roslan, Aminuddin Mohamed, Kamaruddin Hj Abu Hassan, Mohamad Azhar Mat Ali, and Jaimah Abdul Manaf. "Dropout Prevention Initiatives for Malaysian Indigenous Orang Asli Children." International Journal on School Disaffection 8, no. 1 (2011): 42–56. http://dx.doi.org/10.18546/ijsd.08.1.07.

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