Modelling Adherence to the Treatment of Cervical Cancer

Enrique Martinez Muñoz; Maria Luisa Quintero-Soto; Jorge Hernandez-Valdes; Javier Carreon-Guillen; Cruz Garcia-Lirios

doi:doi:10.11648/j.crj.20210904.12

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Modelling Adherence to the Treatment of Cervical Cancer

Enrique Martinez Muñoz, Maria Luisa Quintero-Soto, Jorge Hernandez-Valdes, Javier Carreon-Guillen, Cruz Garcia-Lirios

Published in Cancer Research Journal (Volume 9, Issue 4)

Received: 15 February 2021 Accepted: 21 June 2021 Published: 24 December 2021

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Abstract

Background. Cancer Cerval Uterine is a disease That Explains the vulnerability in Which women are in reproductive health With an impact on occupational health and public health, even When In Mexico the prevalence rate is lower than the other Member Countries OECD, ITS impact on Human Development and Local Development shows the Importance That the disease has on Communities rather than in cities Where policies of prevention through screening and medical examination seemed to slow the trend but show a lack Opportunities and capabilities of health centers in rural areas. Objective. Establish the reliability, validity and correlations Between variables Reported in the literature Regarding ITS weighting in a public hospital. Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of 104 Patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants of treatment adherence Uterine Cervical Cancer built. Results. From a structural model [χ² = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA = 0,003]se Showed relationships in adjustment paths Determining Which Had an impact on knowledge treatment adherence behavior (β = 0.50). Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to include organizational and psychological variables supported in theories of Organizations and theories of personality.

Published in	Cancer Research Journal (Volume 9, Issue 4)
DOI	10.11648/j.crj.20210904.12
Page(s)	191-195
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Public Health, Deliberation, Beliefs, Knowledge, Treatment Adherence

References

[1]	Amorin P, Gomes S, P Souza Almeida P, Bezerra A. No validation of a scale or of the determinants of adherence to treatment among women with breast cancer to c and cervical. Latin American Journal of Nurse y. 2015; 23 (5), 971-978 https://dx.doi.org/10.1590/0104-1169.0222.2638
[2]	Urrutia M, Gajardo M. Adherence to screening for cervical cancer Came: A view from the model of the social determinants of health. Chilean Journal of Obstetrics and Gynecology y. 2015; 80 (2), 101-110.
[3]	Palacios X, L. Vargas adherence to chemotherapy and radiotherapy in oncology patients or logical: A REVIEW literature. Psychology, 2011, 8 (2-3), 423-440 https://dx.doi.org/10.5209/REV_PSIC.2011.v8.n2-3.37890
[4]	Verdú R, Rocha M, Almazan G. Important factors in the accession or n to treatment. A case studies. Clinic and Health. 2015; 26 (3), 141-150 http://dx.doi.org/10.1016/j.clysa.2015.07.002
[5]	Cardoso L, Inocenti A, Frari S, Marques B, Braga R. Grade of accession or n to psicofarmacol or logical treatment among patients discharged from the interaction or n Psychiatrist to trica. Latin American Journal of Nurse y. 2011; 19 (5).
[6]	Ortiz M Ortiz E. Treatment adherence in adolescents. A psicol approximation or logic or M Magazine é Chilean indicates. 2005; 133, 307-313.
[7]	Echeburr E. Treatment adherence in intimate partner battering men in a community setting: Current reality and future challenges. Psychological Intervention. 22 87-93 http://dx.doi.org/10.5093/in2013a11
[8]	Carreón J, Hernández J, Bustos J, García C. Reliability and validity of an instrument that measures the commitment of social workers in healthcare institutions. Crossroads, 2017; 26, 69-86.
[9]	Carreón J, Bustos J, Hernández J, García C. Reliability and validity of an instrument that measures attitude toward groups close to HIV / AIDS carriers. Eureka, 2016; 12 (2), 218-230.
[10]	García C, Carreón J, Sandoval F, Bustos J, Aguilar J. Structure of the work culture in a public health institution. Arequipa, 2016; 6 (1), 291-304.
[11]	Carreón J, Bautista M, García C, Hernández G, Sandoval F, Pérez G, Valdés O. Reliability and validity of an instrument that measures perceptions of occupational health in migrants from Huehuetoca, State of Mexico. Obets, 2016; 11 (2), 569-581.
[12]	Bautista M, Delgado M, García C, Valdés O, Hernández G, Castro A, Trujillo K. Contrasting a model of organizational culture in community health centers before the dissemination of information on HIV / AIDS from Social Work. Teaching and Research in Psychology, 2016; 21 (3), 248-255.
[13]	García C, Carreón J, Hernández J, Morales M. Contrast of a model of labor commitment in a public health institution. University Act, 2014; 24 (1), 48-59.
[14]	García C, Carreón J, Bustos J, Hernández J, Salinas R. Specification of a communication model for environmental risks in the face of climate change. Entreciencias, 2015; 3 (6), 71-90.
[15]	García C, Carreón J. Bustos J. The occupational health of elderly people in an electoral context of a locality in the center of Mexico. Doxa, 2017; 7 (12), 36-49.
[16]	García C, Carreón J, Hernández J. Limits of occupational health models. Study of adherence to the treatment of asthma in elderly migrant workers of the State of Mexico. Management Vision, 2017; 16 (1), 103-118.
[17]	García C, Carreón J, Hernández J, Bustos J. Institutional power and civil influence in the mediation of social work before policies and social needs. Criticism & Resistance, 2017; 4, 250-264.
[18]	García C, Carreón J, Hernández J, Bustos J, Quintero M. Expected and perceived governance in a social rehabilitation center from Mexico City. International Journal of Advances in Social Science and Humanities, 2017; 5 (5), 6-13.
[19]	García C, Juárez M, Sandoval F. Bustos J. A psychological approach to environmental complexity: Specification of a model of community stress and resilience. Community, 2017; 14, 75-95.
[20]	García C, Sandoval F, Rivera B, Limón G. Complexization of a model for the study of environmental resilience. Academic Research Without Borders, 2017; 10 (25), 1-13.
[21]	García C. Community health policy and adherence to cervical cancer treatment in a community in central Mexico. Epsys, 2017; 21, 1-6.
[22]	Sandoval F, Carreón J, García C, Quintero J, Bustos J. Model of the determinants of the perception of resilience based on perceived risk and stress in relation to the governance of civil protection. Invurnus, 2017; 12 (1), 30-35.
[23]	Valdés O, Vilchis F, Bautista M, García C, Castro A. Adherence to the treatment of chronic renal failure in a community of the State of Mexico. Margin, 2017; 84, 1-8.
[24]	Llamas B, López S, García C. specification of a model of adherence to treatment. Ajayu, 2019; 17 (1), 140-160.
[25]	Martínez E, Sánchez A, García C. governance of quality of life and well-being subjective. Ajayu, 2019; 17 (1), 121-139.
[26]	García C. Dimensiones de la teoría del desarrollo humano. Ehquidad, 2019; 11, 27-54 http://dx.doi.org/10.15257/ehquidad.2019.0002
[27]	Fierro E, López S, García C. confiabilidad y validez de un instrumento que mide el compromiso organizacional en un centro de salud comunitaria. Tlatemoani, 2018; 29, 42-68.
[28]	Garcia C, Martinez E, Sanchez A. Estructura factorial exploratoria de las dimensiones institucionales del compromiso laboral en una institución de educación superior (IES) del centro de México. Perspectivas, 2018; 20 (2), 65-87.
[29]	Bautista M, Aldana W, Garcia C. Análisis de expectativas de ahesión al tratamiento del Virus de Inmunodeficiencia Humana (VIH) en estudiantes de una universidad pública. Perspectivas, 2018; 20 (1), 53-70.

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APA Style

Enrique Martinez Muñoz, Maria Luisa Quintero-Soto, Jorge Hernandez-Valdes, Javier Carreon-Guillen, Cruz Garcia-Lirios. (2021). Modelling Adherence to the Treatment of Cervical Cancer. Cancer Research Journal, 9(4), 191-195. https://doi.org/10.11648/j.crj.20210904.12

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ACS Style

Enrique Martinez Muñoz; Maria Luisa Quintero-Soto; Jorge Hernandez-Valdes; Javier Carreon-Guillen; Cruz Garcia-Lirios. Modelling Adherence to the Treatment of Cervical Cancer. Cancer Res. J. 2021, 9(4), 191-195. doi: 10.11648/j.crj.20210904.12

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AMA Style

Enrique Martinez Muñoz, Maria Luisa Quintero-Soto, Jorge Hernandez-Valdes, Javier Carreon-Guillen, Cruz Garcia-Lirios. Modelling Adherence to the Treatment of Cervical Cancer. Cancer Res J. 2021;9(4):191-195. doi: 10.11648/j.crj.20210904.12

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@article{10.11648/j.crj.20210904.12,
  author = {Enrique Martinez Muñoz and Maria Luisa Quintero-Soto and Jorge Hernandez-Valdes and Javier Carreon-Guillen and Cruz Garcia-Lirios},
  title = {Modelling Adherence to the Treatment of Cervical Cancer},
  journal = {Cancer Research Journal},
  volume = {9},
  number = {4},
  pages = {191-195},
  doi = {10.11648/j.crj.20210904.12},
  url = {https://doi.org/10.11648/j.crj.20210904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.crj.20210904.12},
  abstract = {Background. Cancer Cerval Uterine is a disease That Explains the vulnerability in Which women are in reproductive health With an impact on occupational health and public health, even When In Mexico the prevalence rate is lower than the other Member Countries OECD, ITS impact on Human Development and Local Development shows the Importance That the disease has on Communities rather than in cities Where policies of prevention through screening and medical examination seemed to slow the trend but show a lack Opportunities and capabilities of health centers in rural areas. Objective. Establish the reliability, validity and correlations Between variables Reported in the literature Regarding ITS weighting in a public hospital. Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of 104 Patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants of treatment adherence Uterine Cervical Cancer built. Results. From a structural model [χ2 = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA = 0,003]se Showed relationships in adjustment paths Determining Which Had an impact on knowledge treatment adherence behavior (β = 0.50). Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to include organizational and psychological variables supported in theories of Organizations and theories of personality.},
 year = {2021}
}

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TY  - JOUR
T1  - Modelling Adherence to the Treatment of Cervical Cancer
AU  - Enrique Martinez Muñoz
AU  - Maria Luisa Quintero-Soto
AU  - Jorge Hernandez-Valdes
AU  - Javier Carreon-Guillen
AU  - Cruz Garcia-Lirios
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.crj.20210904.12
DO  - 10.11648/j.crj.20210904.12
T2  - Cancer Research Journal
JF  - Cancer Research Journal
JO  - Cancer Research Journal
SP  - 191
EP  - 195
PB  - Science Publishing Group
SN  - 2330-8214
UR  - https://doi.org/10.11648/j.crj.20210904.12
AB  - Background. Cancer Cerval Uterine is a disease That Explains the vulnerability in Which women are in reproductive health With an impact on occupational health and public health, even When In Mexico the prevalence rate is lower than the other Member Countries OECD, ITS impact on Human Development and Local Development shows the Importance That the disease has on Communities rather than in cities Where policies of prevention through screening and medical examination seemed to slow the trend but show a lack Opportunities and capabilities of health centers in rural areas. Objective. Establish the reliability, validity and correlations Between variables Reported in the literature Regarding ITS weighting in a public hospital. Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of 104 Patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants of treatment adherence Uterine Cervical Cancer built. Results. From a structural model [χ2 = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA = 0,003]se Showed relationships in adjustment paths Determining Which Had an impact on knowledge treatment adherence behavior (β = 0.50). Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to include organizational and psychological variables supported in theories of Organizations and theories of personality.
VL  - 9
IS  - 4
ER  -

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Author Information

Enrique Martinez Muñoz
Maria Luisa Quintero-Soto

Department Social Science, Mexico University, Nezahualcóyolt, Mexico
Jorge Hernandez-Valdes

Department Social Work, Mexico University, Chalco, Mexico
Javier Carreon-Guillen

Department Social Work, Mexico University, Coyoacan, Mexico
Cruz Garcia-Lirios

Department Social Work, Mexico University, Huehuetoca, Mexico

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Plain Text BibTeX RIS

APA Style

Enrique Martinez Muñoz, Maria Luisa Quintero-Soto, Jorge Hernandez-Valdes, Javier Carreon-Guillen, Cruz Garcia-Lirios. (2021). Modelling Adherence to the Treatment of Cervical Cancer. Cancer Research Journal, 9(4), 191-195. https://doi.org/10.11648/j.crj.20210904.12

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ACS Style

Enrique Martinez Muñoz; Maria Luisa Quintero-Soto; Jorge Hernandez-Valdes; Javier Carreon-Guillen; Cruz Garcia-Lirios. Modelling Adherence to the Treatment of Cervical Cancer. Cancer Res. J. 2021, 9(4), 191-195. doi: 10.11648/j.crj.20210904.12

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AMA Style

Enrique Martinez Muñoz, Maria Luisa Quintero-Soto, Jorge Hernandez-Valdes, Javier Carreon-Guillen, Cruz Garcia-Lirios. Modelling Adherence to the Treatment of Cervical Cancer. Cancer Res J. 2021;9(4):191-195. doi: 10.11648/j.crj.20210904.12

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@article{10.11648/j.crj.20210904.12,
  author = {Enrique Martinez Muñoz and Maria Luisa Quintero-Soto and Jorge Hernandez-Valdes and Javier Carreon-Guillen and Cruz Garcia-Lirios},
  title = {Modelling Adherence to the Treatment of Cervical Cancer},
  journal = {Cancer Research Journal},
  volume = {9},
  number = {4},
  pages = {191-195},
  doi = {10.11648/j.crj.20210904.12},
  url = {https://doi.org/10.11648/j.crj.20210904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.crj.20210904.12},
  abstract = {Background. Cancer Cerval Uterine is a disease That Explains the vulnerability in Which women are in reproductive health With an impact on occupational health and public health, even When In Mexico the prevalence rate is lower than the other Member Countries OECD, ITS impact on Human Development and Local Development shows the Importance That the disease has on Communities rather than in cities Where policies of prevention through screening and medical examination seemed to slow the trend but show a lack Opportunities and capabilities of health centers in rural areas. Objective. Establish the reliability, validity and correlations Between variables Reported in the literature Regarding ITS weighting in a public hospital. Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of 104 Patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants of treatment adherence Uterine Cervical Cancer built. Results. From a structural model [χ2 = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA = 0,003]se Showed relationships in adjustment paths Determining Which Had an impact on knowledge treatment adherence behavior (β = 0.50). Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to include organizational and psychological variables supported in theories of Organizations and theories of personality.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Modelling Adherence to the Treatment of Cervical Cancer
AU  - Enrique Martinez Muñoz
AU  - Maria Luisa Quintero-Soto
AU  - Jorge Hernandez-Valdes
AU  - Javier Carreon-Guillen
AU  - Cruz Garcia-Lirios
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.crj.20210904.12
DO  - 10.11648/j.crj.20210904.12
T2  - Cancer Research Journal
JF  - Cancer Research Journal
JO  - Cancer Research Journal
SP  - 191
EP  - 195
PB  - Science Publishing Group
SN  - 2330-8214
UR  - https://doi.org/10.11648/j.crj.20210904.12
AB  - Background. Cancer Cerval Uterine is a disease That Explains the vulnerability in Which women are in reproductive health With an impact on occupational health and public health, even When In Mexico the prevalence rate is lower than the other Member Countries OECD, ITS impact on Human Development and Local Development shows the Importance That the disease has on Communities rather than in cities Where policies of prevention through screening and medical examination seemed to slow the trend but show a lack Opportunities and capabilities of health centers in rural areas. Objective. Establish the reliability, validity and correlations Between variables Reported in the literature Regarding ITS weighting in a public hospital. Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of 104 Patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants of treatment adherence Uterine Cervical Cancer built. Results. From a structural model [χ2 = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA = 0,003]se Showed relationships in adjustment paths Determining Which Had an impact on knowledge treatment adherence behavior (β = 0.50). Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to include organizational and psychological variables supported in theories of Organizations and theories of personality.
VL  - 9
IS  - 4
ER  -

Copy | Download