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Zahed K, Smith A, McDonald AD, Sasangohar F. The Effects of Drowsiness Detection Technology and Education on Nurses' Beliefs and Attitudes Towards Drowsy Driving. IISE Trans Occup Ergon Hum Factors 2022; 10:104-115. [PMID: 35746825 DOI: 10.1080/24725838.2022.2094502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Background: Drowsy driving is prevalent among night-shift nurses, yet there is a gap in understanding nurses' beliefs and attitudes that may affect their intention to avoid drowsy driving.Objectives: The objectives of the study were twofold: 1) investigate how behavioral constructs such as beliefs and attitudes may affect nurses' intention to avoid drowsy driving; and 2) assess changes in such beliefs and attitudes during a study that evaluated the effectiveness of educational and technological interventions.Methods: Three-hundred night-shift nurses were recruited from a large hospital in Texas to participate in a randomized control trial. Participants were randomly assigned to three groups: 1) control; 2) educational intervention; and 3) combined educational and technological intervention. The study utilized an integrated model drawing from the constructs of the Theory of Planned Behavior and the Health Belief Model to elicit attitudes, beliefs, and intentions to use in-vehicle drowsiness detection technologies. Each group was surveyed pre- intervention and at post-intervention around 3 months later to assess changes in beliefs and attitudes. Structural equation models and path analysis were used to analyze changes in beliefs.Results: Seventy-nine participants completed the pre-intervention questionnaire, and 44 nurses completed the pre- and post-intervention surveys. Intention was predicted primarily by attitude and perceived health threat. Perceived health threat also mediated the relationship between behavioral intention and the influence of subjective norms as well as perceived behavioral control. Participants who received education about drowsy driving had positive changes in beliefs.Conclusions: Nurses' perceived health threat from driving drowsy and their attitude towards our intervention were important motivators to avoid drowsy driving. Interventions aiming at raising awareness of the risks associated with drowsy driving may be effective at motivating nurses to avoid drowsy driving.
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Affiliation(s)
- Karim Zahed
- Graduate Assistant Researcher - Texas A&M University
| | - Alec Smith
- Graduate Assistant Researcher - Texas A&M University
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Fontaine G, Cossette S. A theory-based adaptive E-learning program aimed at increasing intentions to provide brief behavior change counseling: Randomized controlled trial. NURSE EDUCATION TODAY 2021; 107:105112. [PMID: 34455287 DOI: 10.1016/j.nedt.2021.105112] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 08/10/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Unhealthy behaviors are significant contributors to non-communicable diseases. Nurses can support patient health behavior change by providing brief behavior change counseling. However, training programs in brief counseling are generally not personalized, or adapted, to the barriers and theoretical determinants of its provision in clinical practice. OBJECTIVE This study aimed to evaluate the effectiveness of the E_MOTIVA theory-based adaptive e-learning program on nurses' and nursing students' intentions to provide brief counseling for smoking, unhealthy eating habits and medication nonadherence. DESIGN AND METHODS A randomized controlled trial was conducted with nurses and nursing students in Canada. Experimental group participants were allocated to the E_MOTIVA theory-based adaptive e-learning program. Control group participants were allocated to the E_MOTIVB knowledge-based standardized e-learning program. E_MOTIVA was designed to influence the constructs of the Theory of Planned Behavior (e.g., attitude, subjective norms) in relation to brief counseling. Outcomes were improvement in intention to provide brief counseling, improvement in other Theory of Planned Behavior variables, as well as cognitive load and engagement related to e-learning. RESULTS A total of 102 participants were randomized to the experimental (n = 51) and control (n = 51) groups. End of study questionnaires were completed by 27 experimental group and 38 control group participants. Analyses indicated no significant differences between groups in the change of scores for intention to provide brief counseling. However, while not significant, the change of score was greater in the experimental group (10.22 ± 3.34 versus 9.04 ± 2.80; p = 0.787). Scores in both groups improved significantly for attitude, subjective norms, perceived behavioral control, behavioral beliefs, and control beliefs. However, there were no statistically significant differences between groups for these variables as well as for cognitive load and engagement. CONCLUSIONS Both e-learning programs had a similar positive effect on nurses' and nursing students' intentions to provide brief counseling and on Theory of Planned Behavior variables. TRIAL REGISTRATION ISRCTN Registry ISRCTN32603572; http://www.isrctn.com/ISRCTN32603572. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/18894; https://doi.org/10.2196/18894.
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Affiliation(s)
- Guillaume Fontaine
- Faculty of Nursing, Université de Montréal, 2375 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1A8, Canada; Montreal Heart Institute Research Center, 5000 Bélanger, Montréal, QC H1T 1C8, Canada.
| | - Sylvie Cossette
- Faculty of Nursing, Université de Montréal, 2375 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1A8, Canada; Montreal Heart Institute Research Center, 5000 Bélanger, Montréal, QC H1T 1C8, Canada.
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Jattamart A, Kwangsawad A. What awareness variables are associated with motivation for changing risky behaviors to prevent recurring victims of cyberbullying? Heliyon 2021; 7:e08121. [PMID: 34660931 PMCID: PMC8503624 DOI: 10.1016/j.heliyon.2021.e08121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 08/27/2021] [Accepted: 09/29/2021] [Indexed: 11/26/2022] Open
Abstract
The detrimental consequences for victims of cyberbullying is becoming a major public health problem in many countries. However, it is a possibility that such victims will experience repeated cyberbullying in future. Therefore, a sustainable, long-term solution is to train victims to prevent cyberbullying and cope effectively with future situations. This aim of this study was to further our understanding of the factors involved in both raising awareness and increasing motivation in relation to the process of changing risky social media behaviors in order to reduce future incidences of cyberbullying. The study was conducted with a group of 541 late adolescents, who studied at university level and were victims of cyberbullying, and 397 parents. Data was collected using online questionnaires, which were designed according to I-Change Model (ICM) theory, and statistically analyzed to determine the presence of a causal relationship using Structural Equation Modeling (SEM). The results of this study showed that family communication, loneliness, perceived susceptibility, and message and channel type had direct influences on victims’ awareness of risky behaviors. Based on parental views, the channel had a direct influence on the awareness of victims and this, in turn, had a direct influence on motivation for enacting changes in health behavior (including both psychological and physical health). It was also found that motivation for improving psychological health has a strong influence on physical health. The study results were consistent for both victims and parents. Therefore, in future, issues that should be prioritized and acted upon include promoting cooperation between victims, parents, schools, and mental health professionals in order to train and educate victims and develop an intervention program that takes into account family and personal relationships. These actions may reduce behaviors among adolescents that put them at risk of being ongoing victims of cyberbullying.
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Affiliation(s)
- Aungkana Jattamart
- Department of Business Information Technology, Faculty of Business Administration, Rajamangala University of Technology Rattanakosin Wang Klai Kangwon Campus, Prachuapkhirikhan, Thailand
| | - Achaporn Kwangsawad
- Department of Business Information Technology, Faculty of Business Administration, Rajamangala University of Technology Rattanakosin Wang Klai Kangwon Campus, Prachuapkhirikhan, Thailand
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Li M, Koide K, Tanaka M, Kiya M, Okamoto R. Factors Associated with Nursing Interventions for Smoking Cessation: A Narrative Review. NURSING REPORTS 2021; 11:64-74. [PMID: 34968313 PMCID: PMC8608102 DOI: 10.3390/nursrep11010007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/18/2021] [Accepted: 01/28/2021] [Indexed: 12/05/2022] Open
Abstract
The purpose of this narrative review is to synthesize the factors that are associated with smoking cessation intervention among nurses. We conducted a systematic search of the literature published from database inception through to 22 April 2020, in five electronic databases including Pubmed, CINAHL Plus, Scopus, Web of science, and ProQuest. The search was limited to articles written in English and published in scientific journals. The reference lists of papers identified as being relevant in the above electronic searches were also hand searched. The initial database search yielded 2039 articles and 11 articles were obtained through a manual search. Finally, 24 articles were included in the analysis. Of the 24 included studies, 46 different factors were identified to be significantly associated with nursing interventions for smoking cessation. The identified factors were grouped into the following four conceptually similar categories: (1) socioeconomic factors, (2) smoking-related factors, (3) motivational factors, and (4) enabling factors and barriers. In the future, nursing interventions for smoking cessation will need to be improved based on the identified factors.
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Affiliation(s)
- Meng Li
- Division of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan; (M.L.); (M.T.); (M.K.)
| | - Keiko Koide
- Faculty of Nursing, Shitennoji University, Habikino City 583-0868, Japan;
| | - Miho Tanaka
- Division of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan; (M.L.); (M.T.); (M.K.)
| | - Misaki Kiya
- Division of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan; (M.L.); (M.T.); (M.K.)
| | - Reiko Okamoto
- Division of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan; (M.L.); (M.T.); (M.K.)
- Correspondence: ; Tel.: +81-6-6879-2550
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Thomas K, Bendtsen M, Linderoth C, Bendtsen P. Implementing Facilitated Access to a Text Messaging, Smoking Cessation Intervention Among Swedish Patients Having Elective Surgery: Qualitative Study of Patients' and Health Care Professionals' Perspectives. JMIR Mhealth Uhealth 2020; 8:e17563. [PMID: 32945772 PMCID: PMC7532460 DOI: 10.2196/17563] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 04/23/2020] [Accepted: 06/16/2020] [Indexed: 01/11/2023] Open
Abstract
Background There is strong evidence that short-term smoking cessation before surgery can reduce postoperative morbidity. There are, however, several structural problems in health care systems concerning how to implement smoking cessation interventions in routine practice for preoperative patients. Objective This study aimed to analyze the implementation of a text messaging, smoking cessation intervention targeting patients having elective surgery. Implementation of facilitated access (ie, referral from practitioners) and the perceived usefulness among patients were investigated. Elective surgery is defined as scheduled, nonacute surgery. Methods A qualitative study was carried out at two medium-sized hospitals in the south of Sweden. The implementation of facilitated access was investigated during a 12-month period from April 2018 to April 2019. Facilitated access was conceptualized as specialists recommending the text messaging intervention to patients having elective surgery. Implementation was explored in terms of perceptions about the intervention and behaviors associated with implementation; that is, how patients used the intervention and how specialists behaved in facilitating usage among patients. Two focus groups with smoking cessation specialists and 10 individual interviews with patients were carried out. Qualitative content analysis was used to analyze the data. Results Two main categories were identified from the focus group data with smoking cessation specialists: implementation approach and perceptions about the intervention. The first category, implementation approach, referred to how specialists adapted their efforts to situational factors and to the needs and preferences of patients, and how building of trust with patients was prioritized. The second category, perceptions about the intervention, showed that specialists thought the content and structure of the text messaging intervention felt familiar and worked well as a complement to current practice. Two categories were identified from the patient interview data: incorporating new means of support from health care and determinants of use. The first category referred to how patients adopted and incorporated the intervention into their smoking cessation journey. Patients were receptive, shared the text messages with friends and family, humanized the text messages, and used the messages as a complement to other strategies to quit smoking. The second category, determinants of use, referred to aspects that influenced how and when patients used the intervention and included the following: timing of the intervention and text messages, motivation to change, and perceptions of the mobile phone medium. Conclusions Smoking cessation specialists adopted an active role in implementing the intervention by adapting their approach and fitting the intervention into existing routines. Patients showed strong motivation to change and openness to incorporate the intervention into their behavior change journey; however, the timing of the intervention and messages were important in optimizing the support. A text messaging, smoking cessation intervention can be a valuable and feasible way to reach smoking patients having elective surgery.
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Affiliation(s)
- Kristin Thomas
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Marcus Bendtsen
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Catharina Linderoth
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Preben Bendtsen
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Li M, Okamoto R, Tada A, Kiya M. Factors Associated with Prenatal Smoking Cessation Interventions among Public Health Nurses in Japan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6135. [PMID: 32846936 PMCID: PMC7503931 DOI: 10.3390/ijerph17176135] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/09/2020] [Accepted: 08/19/2020] [Indexed: 11/27/2022]
Abstract
This study aimed to identify the factors associated with prenatal smoking cessation interventions based on the 5As model among public health nurses (PHNs) in Japan. A nationwide cross-sectional study was conducted from December 2019 to February 2020 via a self-administered questionnaire. The study subjects were 1988 PHNs working in 431 health centers of municipalities and special wards across the country. Of the 1988 questionnaires mailed, 521 responses (26.2%) were included in the analysis. Of the 521 responses, most of the respondents were female (98.1%) and the mean age was 37.5 years. There were statistically significant differences on age, work regions, experience years working as a PHN and smoking cessation training after becoming a PHN in implementing the 5As. Self-efficacy, professional development competency, research utilization competency, age and experience years working as a PHN were positively associated with the 5As. Social nicotine dependence was negatively associated with the 5As. Furthermore, self-efficacy mediated the relationship between the 5As and professional development competency, research utilization competency, social nicotine dependence, age and experience years working as a PHN. In the future, smoking cessation intervention training should be widely implemented to improve self-efficacy and prenatal smoking cessation interventions among Japanese PHNs.
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Affiliation(s)
| | - Reiko Okamoto
- Division of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Osaka Prefecture, Japan; (M.L.); (A.T.); (M.K.)
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Assessment of healthcare workers' behavior in implementing a newborn screening program for congenital hypothyroidism in Perak, Malaysia. JOURNAL OF HEALTH RESEARCH 2020. [DOI: 10.1108/jhr-08-2019-0198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
PurposeThe aim of this study is to assess healthcare workers' behavior on the congenital hypothyroidism screening program implementation based on a framework protocol and its associated factors.Design/methodology/approachA cross-sectional study was conducted using the multistage random sampling method in recruiting health clinic workers and purposive sampling techniques for hospital workers. The demographics, providers' characteristic, occupational profile, attitude, perceived behavior control (PBC), knowledge, behavioral intention and adherence to protocol were gathered using validated and reliable self-administered questionnaires.FindingsPartial intention to adhere to protocol was 25.7%. Weak attitude (adjusted odds ratio [AOR]: 5.48, 95% confidence interval [CI]: 3.32–9.06), low PBC score (AOR: 0.91, 95% CI: 0.86–0.95) and low knowledge score (AOR: 0.85, 95% CI: 0.75–0.96) were associated with partial intention to adhere to protocol. In the self-rated adherence assessment, 92.6% of participants from health clinics, 79.1% from pediatric and 61.1% from pathology were found not adhering to protocol. There was a significant association between intention and adherence to protocol.Research limitations/implicationsDocumentations and observations in assessing program implementation were limited to perform in the present study. Using self-rated instruments and focusing on healthcare workers alone did not provide a comprehensive assessment.Practical implicationsAvailability of a training module at site and regular refreshing course training should be made available to harness knowledge, attitude and behavioral perception in implementing the program activities.Originality/valueIntegrating the Logical Framework Approach in assessing program implementation and application of the Theory of Planned Behavior and Attitude, Subjective Norms, Self-Efficacy Model in this study were beneficial.
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Meijer E, van der Kleij R, Segaar D, Chavannes N. Determinants of providing smoking cessation care in five groups of healthcare professionals: A cross-sectional comparison. PATIENT EDUCATION AND COUNSELING 2019; 102:1140-1149. [PMID: 30718091 DOI: 10.1016/j.pec.2019.01.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 01/16/2019] [Accepted: 01/18/2019] [Indexed: 06/09/2023]
Abstract
Objective To investigate implementation of a tobacco dependence treatment guideline among five groups of healthcare professionals. Methods Data collected in The Netherlands (2016-2017) were compared among gynaecologists (N = 49), midwives (N = 68), respiratory nurses (N = 72), practice nurses (N = 84) and paediatricians (N = 38). Intentions to use the guideline, satisfaction with own implementation, and dosage delivered of quit-advice and assisting in quitting were predicted using linear regression analyses and regression tree analyses. Results Implementation of smoking cessation care (SCC) and barriers differed between the groups, with nurses reporting better implementation and fewer barriers. Main barriers were lacking training (gynecologists, pediatricians) and time (midwives). Regression tree analyses showed that self-efficacy and training interacted; participants with weaker self-efficacy provided more quit advice if they had participated in SCC training. Training was positively related to intentions to use the guideline, satisfaction, providing quit-advice, and assisting smokers in quitting. Conclusion Implementation of SCC is suboptimal, such that patients who smoke do not receive the highest quality of care. Profession and training in SCC are important determinants of implementation of SCC. Practice implications Efforts to improve implementation should be targeted at profession. Training is indicated, and may focus on skills for nurses, and knowledge for gynecologists, midwives and pediatricians.
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Affiliation(s)
- Eline Meijer
- Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.
| | - Rianne van der Kleij
- Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Dewi Segaar
- Dutch Alliance for a Smokefree Society, Utrecht, the Netherlands
| | - Niels Chavannes
- Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
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Martínez C, Castellano Y, Andrés A, Fu M, Feliu A, Antón L, Ballbè M, Fernández P, Cabrera S, Riccobene A, Gavilan E, Baena A, Margalef M, Tigova O, Quirós N, Guillen O, Company A, Fernández E. Impact of an Online Training Program in Smoking Cessation Interventions in Hospitals. J Nurs Scholarsh 2019; 51:449-458. [PMID: 30874373 DOI: 10.1111/jnu.12469] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE To assess changes in the self-reported performance of smoking cessation interventions according to the 5A's model (Ask; Advise; Assess; Assist; and Arrange follow-up) among clinicians; and to identify the main barriers and facilitators in smoking cessation implementation before and after an online smoking cessation training program. DESIGN Pre-post evaluation. METHODS We assessed self-reported smoking cessation interventions in the implementation of the 5A's model among clinicians working in Catalan hospitals (Spain). In addition, we assessed individual-, behavioral-, and organizational-level factors that act as barriers and facilitators in the implementation of the 5A's model. We used a questionnaire of 63 items reflecting each of the 5A's performance (scored from 0 = none to 10 = most possible). The questionnaire was completed both immediately before and 6 months after the training. We analyzed the data of those participants who had a clinical role and answered pre- and post-questionnaires. We used the nonparametric test for paired data (Wilcoxon) to examine changes in scores. FINDINGS A total of 127 clinicians completed the pre-post questionnaire; 63.0% were registered nurses, 17.3% were nursing assistants, 7.9% were physicians, and 11.8% were other professionals (p < .001). Overall, there were significant increases in the implementation of the assist component (from a score of 4.5 to 5.2; p < .003) and arrange a follow-up component (from 3.6 to 4.5; p < .001) of the intervention. Scores in the perception of the level of overall preparation, preparedness in using smoking cessation drugs, level of competence, and organizational recognition improved (p < .001) at the follow-up; however, the score in the perception that implementing smoking cessation is part of their job decreased (from 6.3 to 4.4; p < .001). CONCLUSIONS The online training had a positive impact on the implementation of assist and arrange follow-up components. Although self-preparedness in the management of smokers increased, the motivation and involvement of key professionals decreased. Organizational factors related to the incorporation of resources (such as protocols, records, etc.) should be improved for the correct progression of smoking cessation interventions within the institutions. CLINICAL RELEVANCE Smoking cessation training programs should incorporate some motivational content to increase the engagement of health professionals in smoking cessation interventions in their clinical practice.
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Affiliation(s)
- Cristina Martínez
- Associate Researcher, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL; and Department of Public Health, Mental Health and Perinatal Nursing, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Yolanda Castellano
- Statistician, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Granvia de L'Hospitalet; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Ana Andrés
- Lecturer and Researcher, Faculty of Psychology, Education and Sport Sciences, Ramon Llull Universityl, Barcelona, Spain
| | - Marcela Fu
- Researcher, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Ariadna Feliu
- Predoctoral student, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL; and Clinical Sciences, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Laura Antón
- Program coordinator, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Montse Ballbè
- Program Coordinator and Associate Researcher, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, and Cancer Control; and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL; and Addictions Unit, Institute of Neurosciences, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Paz Fernández
- Coordinator of Nursing Research, Nursing Research Unit, Institut Català d'Oncologia-ICO, Barcelona, Spain
| | - Sandra Cabrera
- Coordinator of Nursing Researcher, Nursing Research Unit, Institut Català d'Oncologia-ICO, Barcelona, Spain
| | - Ana Riccobene
- Nurse, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Eva Gavilan
- Nurse and Predoctoral student, Medicine and Health Sciences School, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Antoni Baena
- Associate Researcher, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Mercè Margalef
- Project Manager, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Olena Tigova
- Project Manager, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO. Av; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Núria Quirós
- Administrative support, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; and Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Barcelona, Spain
| | - Olga Guillen
- Program Coordinator, E_oncologia Unit, Institut Català d'Oncologia-ICO, Barcelona, Spain
| | - Assumpta Company
- Director E-oncologia, E_oncologia Unit, Institut Català d'Oncologia-ICO, Barcelona, Spain
| | - Esteve Fernández
- Director of the Tobacco Control Unit, Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO; Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL; and Department of Clinical Sciences, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
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Meijer E, Chavannes N, Segaar D, Parlevliet J, Van Der Kleij R. Optimizing smoking cessation guideline implementation using text-messages and summary-sheets: A mixed-method evaluation. CLINICAL EHEALTH 2019. [DOI: 10.1016/j.ceh.2019.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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Andrés A, Castellano Y, Fu M, Feliu A, Ballbè M, Antón L, Baena A, Fernández E, Martínez C. Exploring individual and contextual factors contributing to tobacco cessation intervention implementation. Addict Behav 2019; 88:163-168. [PMID: 30205255 DOI: 10.1016/j.addbeh.2018.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 08/01/2018] [Accepted: 08/03/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Previous research suggests that smoking cessation interventions are poorly implemented. This study reports the development and testing of a questionnaire including knowledge, attitude, behavioral, and organizational (KABO) factors affecting the implementation of smoking cessation practices in hospitals by health care providers and organizations. METHODS An initial pool of 44 items was developed to assess the individual knowledge, attitudes, and beliefs of health professionals towards smoking cessation practices according to the 5 A's intervention model, as well as organizational barriers and opportunities for its implementation. Items were measured in a scale from 0="Not at all/Never" to 10 = "Completely/Always". Data were collected from health workers (n = 702) in Catalonia. The validity of the instrument was measured by: (a) analyzing the items, (b) assessing the internal structure, (c) estimating the internal consistency, and (d) analyzing the relationship between this tool and the 5 A's intervention model. RESULTS Seven domains were extracted: individual skills, positive organizational support, attitudes and beliefs, individual commitment, organizational resources, beliefs about patient desire/readiness to quit, and organizational endorsement. These domains explained 69.7% of the variance, and allowed for the development of a refined 26-item version of the questionnaire. Both the seven domains and the total scale showed adequate internal consistency. CONCLUSIONS Psychometric testing indicates that the KABO questionnaire is a reliable and valid instrument for assessing the main barriers and facilitators to smoking cessation intervention implementation. Individual factors better explained the implementation of smoking cessation interventions in hospitals, and the seven identified domains can be used for further investigations into how the implementation of evidence-based practices impacts smoking cessation performance.
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de Ruijter D, Candel M, Smit ES, de Vries H, Hoving C. The Effectiveness of a Computer-Tailored E-Learning Program for Practice Nurses to Improve Their Adherence to Smoking Cessation Counseling Guidelines: Randomized Controlled Trial. J Med Internet Res 2018; 20:e193. [PMID: 29789278 PMCID: PMC5989061 DOI: 10.2196/jmir.9276] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 04/10/2018] [Accepted: 04/12/2018] [Indexed: 11/13/2022] Open
Abstract
Background Improving practice nurses’ (PN) adherence to smoking cessation counseling guidelines will benefit the quality of smoking cessation care and will potentially lead to higher smoking abstinence rates. However, support programs to aid PNs in improving their guideline uptake and adherence do not exist yet. Objective The aim of this study was to assess the effects of a novel computer-tailored electronic learning (e-learning) program on PNs’ smoking cessation guideline adherence. Methods A Web-based randomized controlled trial (RCT) was conducted in which an intervention group (N=147) with full access to the e-learning program for 6 months was compared with a control group (N=122) without access. Data collection was fully automated at baseline and 6-month follow-up via online questionnaires, assessing PNs’ demographics, work-related factors, potential behavioral predictors based on the I-Change model, and guideline adherence. PNs also completed counseling checklists to retrieve self-reported counseling activities for each consultation with a smoker (N=1175). To assess the program’s effectiveness in improving PNs’ guideline adherence (ie, overall adherence and adherence to individual counseling guideline steps), mixed linear and logistic regression analyses were conducted, thus accommodating for the smokers being nested within PNs. Potential effect moderation by work-related factors and behavioral predictors was also examined. Results After 6 months, 121 PNs in the intervention group (82.3%, 121/147) and 103 in the control group (84.4%, 103/122) completed the follow-up questionnaire. Mixed linear regression analysis revealed that counseling experience moderated the program’s effect on PNs’ overall guideline adherence (beta=.589; 95% CI 0.111-1.068; PHolm-Bonferroni =.048), indicating a positive program effect on adherence for PNs with a more than average level of counseling experience. Mixed logistic regression analyses regarding adherence to individual guideline steps revealed a trend toward moderating effects of baseline levels of behavioral predictors and counseling experience. More specifically, for PNs with less favorable scores on behavioral predictors (eg, low baseline self-efficacy) and high levels of counseling experience, the program significantly increased adherence. Conclusions Results from our RCT showed that among PNs with more than average counseling experience, the e-learning program resulted in significantly better smoking cessation guideline adherence. Experienced PNs might have been better able to translate the content of our e-learning program into practically applicable counseling strategies compared with less experienced colleagues. Less favorable baseline levels of behavioral predictors among PNs possibly contributed to this effect, as there was more room for improvement by consulting the tailored content of the e-learning program. To further substantiate the effectiveness of e-learning programs on guideline adherence by health care professionals (HCPs), it is important to assess how to support a wider range of HCPs. Trial Registration Netherlands Trial Register NTR4436; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4436 (Archived by WebCite at http://www.webcitation.org/6zJQuSRq0)
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Affiliation(s)
- Dennis de Ruijter
- Care and Public Health Research Institute, Department of Health Promotion, Maastricht University, Maastricht, Netherlands
| | - Math Candel
- Care and Public Health Research Institute, Department of Methodology & Statistics, Maastricht University, Maastricht, Netherlands
| | - Eline Suzanne Smit
- Amsterdam School of Communication Research, Department of Communication Science, University of Amsterdam, Amsterdam, Netherlands
| | - Hein de Vries
- Care and Public Health Research Institute, Department of Health Promotion, Maastricht University, Maastricht, Netherlands
| | - Ciska Hoving
- Care and Public Health Research Institute, Department of Health Promotion, Maastricht University, Maastricht, Netherlands
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13
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Abstract
Many women who quit smoking after learning they are pregnant revert back to smoking after birth of their baby. The high rate of recidivism suggests that women need education about risk of relapse and effective strategies to remain smoke free even before they are discharged from the hospital. Despite evidence that smoking cessation and relapse prevention counseling is effective during early postpartum, many nurses do not provide their patients with this important information, perhaps because they feel inadequately prepared to do so. Helping Women Stop Smoking in Pregnancy and Beyond is an education program designed to help perinatal nurses inform women of negative risks of smoking and offer women strategies to avoid the high probability of resuming smoking after birth. It includes evidence-based interventions that can be used by nurses to provide effective smoking relapse prevention counseling to women during postpartum.
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de Ruijter D, Smit ES, de Vries H, Hoving C. Dutch practice nurses' adherence to evidence-based smoking cessation treatment guidelines. Fam Pract 2017; 34:685-691. [PMID: 28486612 DOI: 10.1093/fampra/cmx039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Practice nurses in general practice sub-optimally adhere to evidence-based smoking cessation treatment guidelines, but factors explaining their adherence have not yet been investigated. Understanding such factors is important to develop interventions improving practice nurses' smoking cessation guideline adherence and patients' subsequent cessation success. This study explored the association between different socio-cognitive and predisposing factors, and practice nurses' adherence to the Dutch smoking cessation guideline in general (i.e. overall adherence) and to each guideline step individually (i.e. step-based adherence). METHODS A cross-sectional study was conducted among practice nurses (N = 157) in January-March 2015 via web-based questionnaires, assessing constructs from the Integrated Change Model. Spearman's correlations and linear regression analysis were used to identify potential determinants of overall guideline adherence; Mann-Whitney U-tests and logistic regression analyses were used to identify potential determinants of step-based adherence. RESULTS On average five out of nine steps were completely adhered to by practice nurses; and step-based adherence ranged from 34% to 75%. Overall guideline adherence was associated with high levels of self-efficacy to use a guideline (β = 0.32, P = 0.00), and step-based adherence was additionally associated with spending more time on counselling. Regression results showed positive associations between self-efficacy (8/9 steps) and perceived advantages (7/9 steps) with step-based adherence. CONCLUSION This study quantitatively confirmed practice nurses' sub-optimal guideline adherence and found associations between socio-cognitive (self-efficacy and perceived advantages) and predisposing factors (time spent on counselling), and guideline adherence. Detailed insights in these factors offer preliminary directions for intervention development to improve practice nurses' adherence to evidence-based smoking cessation guidelines.
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Affiliation(s)
- Dennis de Ruijter
- Department of Health Promotion, Maastricht University, Maastricht, the Netherlands
| | - Eline S Smit
- Department of Communication Science, University of Amsterdam, Amsterdam, the Netherlands
| | - Hein de Vries
- Department of Health Promotion, Maastricht University, Maastricht, the Netherlands
| | - Ciska Hoving
- Department of Health Promotion, Maastricht University, Maastricht, the Netherlands
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15
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Martínez C, Castellano Y, Andrés A, Fu M, Antón L, Ballbè M, Fernández P, Cabrera S, Riccobene A, Gavilan E, Feliu A, Baena A, Margalef M, Fernández E. Factors associated with implementation of the 5A's smoking cessation model. Tob Induc Dis 2017; 15:41. [PMID: 29142531 PMCID: PMC5669025 DOI: 10.1186/s12971-017-0146-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Accepted: 10/23/2017] [Indexed: 12/04/2022] Open
Abstract
Background Several health organizations have adopted the 5A’s brief intervention model (Ask, Advise, Assess, Assist, Arrange), based on evidence-based guidelines for smoking cessation. We examine individual, cognitive, behavioral, and organizational factors associated with the 5A’s performance among clinical healthcare workers in Catalonia. We also investigate how these factors interact and potentially predict the implementation of each component of the 5A’s. Methods A cross-sectional survey was conducted among clinical health workers enrolled in an online smoking cessation training course (n = 580). The survey included questions about individual characteristics as well as cognitive, behavioral, and organizational factors previously identified in research. We assessed self-reported performance of the 5A’s, assessed on a scale from 0 to 10, and used Multivariate regression to examine factors associated with its performance. Results The performance means (standard deviation) were moderate for the first 3A’s [Ask: 6.4 (3.1); Advise: 7.1 (2.7); Assess: 6.3 (2.8)] and low for the last 2A’s [Assist: 4.4 (2.9); Arrange: 3.2 (3.3)]. We observed a high correlation between Assist and Arrange (r = 0.704, p < 0.001). Having positive experiences and feeling competent were positively associated with performing the 5A’s model and having organizational support with Assist and Arrange. Personal tobacco use among healthcare workers was negatively associated with Advice and Arrange. Conclusions Our study found that clinical healthcare workers do not perform the 5A’s completely. The main barriers identified suggest the need of training and making available practical guidelines in healthcare services. Organizational support is essential for moving towards the implementation of Assist and Arrange. Electronic supplementary material The online version of this article (10.1186/s12971-017-0146-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- C Martínez
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Medicine and Health Sciences School, C. Josep Trueta s/n, 08915 Sant Cugat del Valles, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, C. Feixa llarga s/n, 08907 L'Hospitalet del Llobregat, Barcelona, Spain
| | - Y Castellano
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - A Andrés
- National Institute of Physical Education of Catalonia (INEFC), Av. de l'Estadi, 12-22, 08038 Barcelona, Spain
| | - M Fu
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Medicine and Health Sciences School, C. Josep Trueta s/n, 08915 Sant Cugat del Valles, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, C. Feixa llarga s/n, 08907 L'Hospitalet del Llobregat, Barcelona, Spain
| | - L Antón
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Ballbè
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Addictions Unit, Institute of Neurosciences, Hospital Clínic de Barcelona, C. Villarroel 170, 08036 Barcelona, Spain
| | - P Fernández
- Nursing Research Unit, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - S Cabrera
- Nursing Research Unit, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - A Riccobene
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - E Gavilan
- Medicine and Health Sciences School, C. Josep Trueta s/n, 08915 Sant Cugat del Valles, Barcelona, Spain
| | - A Feliu
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, C. Feixa llarga s/n, 08907 L'Hospitalet del Llobregat, Barcelona, Spain
| | - A Baena
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Margalef
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - E Fernández
- Tobacco Control Unit, Cancer Control and Prevention Programme, Institut Català d'Oncologia-ICO, Av. Granvia de L'Hospitalet, 199-203, E-08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Cancer Control and Prevention Group, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Av. Granvia de L'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, C. Feixa llarga s/n, 08907 L'Hospitalet del Llobregat, Barcelona, Spain
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16
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de Ruijter D, Smit ES, de Vries H, Goossens L, Hoving C. Understanding Dutch practice nurses' adherence to evidence-based smoking cessation guidelines and their needs for web-based adherence support: results from semistructured interviews. BMJ Open 2017; 7:e014154. [PMID: 28336746 PMCID: PMC5372119 DOI: 10.1136/bmjopen-2016-014154] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Practice nurses in general practices suboptimally adhere to smoking cessation guidelines. Since the effectiveness of their smoking cessation support is greatest when full adherence to these guidelines is achieved, interventions need to be developed to improve practice nurses' guideline adherence, for example, by tailoring their content to adherence determinants. However, the sociocognitive determinants explaining adherence have not yet been investigated. Therefore, this qualitative needs assessment aimed to explore practice nurses' current counselling practices, as well as their sociocognitive beliefs related to their smoking cessation guideline adherence and their needs regarding web-based adherence support. SETTING Primary care; general practices in the Netherlands. PARTICIPANTS 19 practice nurses, actively involved in smoking cessation counselling. METHODS Semistructured individual interviews, based on the I-Change Model and the Diffusion of Innovations Theory, were conducted from May to September 2014. Data were systematically analysed using the Framework Method and considered reliable (κ 0.77; % agreement 99%). RESULTS Respondents felt able to be empathic and collaborative during smoking cessation consultations. They also reported psychological (eg, low self-efficacy to increase patient motivation and arranging adequate follow-up consultations) and practical barriers (eg, outdated information on quit support compensation and a perceived lack of high-quality trainings for practice nurses) to smoking cessation guideline adherence. Most respondents were interested in web-based adherence support to overcome these barriers. CONCLUSIONS Sociocognitive determinants influence practice nurses' smoking cessation guideline adherence. To improve their adherence, web-based tailored adherence support can provide practice nurses with personally relevant feedback tailored to individually perceived barriers to smoking cessation guideline adherence. More specifically, low self-efficacy levels can be increased by peer modelling (eg, presenting narratives of colleagues) and up-to-date information can be presented online, enabling practice nurses to use it during patient consultations, resulting in more effective communication with their smoking patients. TRIAL REGISTRATION NUMBER NTR4436; Pre-results.
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Affiliation(s)
- D de Ruijter
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - E S Smit
- Department of Communication Science, Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
| | - H de Vries
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - L Goossens
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - C Hoving
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
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17
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van der Wulp NY, Hoving C, de Vries H. Correlates of partner support to abstain from prenatal alcohol use: a cross-sectional survey among Dutch partners of pregnant women. HEALTH & SOCIAL CARE IN THE COMMUNITY 2016; 24:614-622. [PMID: 25944241 DOI: 10.1111/hsc.12235] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/03/2015] [Indexed: 06/04/2023]
Abstract
Partners can play an important role, but are often ignored in interventions targeting the prevention of prenatal alcohol use. A better understanding of the correlates of partner support to abstain from prenatal alcohol use can help to make a better use of partner support. The aim of this study was to identify correlates of this support by analysing differences between partners reporting low versus high support. An online cross-sectional study among 237 Dutch partners of pregnant women was conducted. Respondents were recruited through Dutch midwifery practices in September-October 2009. Questionnaires were based on the I-Change Model. Chi-square and t-test showed that partners reporting high support were more likely to desire their partner to abstain from alcohol use and to have received advice from their pregnant spouse or midwife that abstinence was desirable. They also had stronger perceptions that the baby would experience harm from prenatal alcohol use and that harm could be more severe, and they saw more advantages and fewer disadvantages of providing support. They also reported more influence from their social environment encouraging their support, had greater self-efficacy and had a stronger intention to support their partner during the remainder of the pregnancy compared to partners reporting low support. Health professionals may improve their alcohol advice by discussing the advantages and disadvantages of support with the partner and by encouraging couples to discuss and propose solutions for the situations in which partners find it difficult not to support alcohol abstinence. By providing an insight into important correlates of partner support, this study expands the research area aiming to reduce prenatal alcohol use.
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Affiliation(s)
- Nickie Y van der Wulp
- Dutch Institute for Alcohol Policy (STAP), Utrecht, The Netherlands
- Department of Health Promotion, CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Ciska Hoving
- Department of Health Promotion, CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Hein de Vries
- Department of Health Promotion, CAPHRI, Maastricht University, Maastricht, The Netherlands
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18
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Kanera IM, Bolman CAW, Mesters I, Willems RA, Beaulen AAJM, Lechner L. Prevalence and correlates of healthy lifestyle behaviors among early cancer survivors. BMC Cancer 2016; 16:4. [PMID: 26732757 PMCID: PMC4702377 DOI: 10.1186/s12885-015-2019-x] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 12/15/2015] [Indexed: 02/01/2023] Open
Abstract
Background Healthy lifestyle behaviors have been demonstrated to be beneficial for positive health outcomes and the quality of life in cancer survivors. However, adherence to recommendations is low. More insight is needed in factors that may explain engagement in lifestyle behaviors to develop effective cancer aftercare interventions. This study assessed different factors, namely socio-demographic, cancer-related, psychological, social cognitive factors (attitude, social support, self-efficacy) and intention, in relationship to five lifestyle behaviors (smoking, physical activity, alcohol, and fruit and vegetable consumption). Methods Early survivors of various types of cancer were recruited from eighteen Dutch Hospitals (n = 255). Distal factors (socio-demographic, cancer related, psychological), proximal factors (social cognitive), intention and five lifestyle behaviors (smoking, physical activity, alcohol, fruit and vegetable consumption) were assessed through a self-reported questionnaire. Cross-sectional analyses (correlations and regression analyses) were conducted. Results The lifestyle of a small group (11 %) of the cancer survivors was coherent with all five health recommendations, the majority (>80 %) adhered to two, three of four recommendations, and only few (<7 %) adhered to one or none recommendation. The highest prevalence in followed recommendations have been detected in physical activity (87.4 %), refrain from smoking (82 %), and alcohol consumption (75.4 %). There was low adherence to the fruit recommendation (54.8 %) and to the vegetable recommendation (27.4 %). Only weak associations were found between the different behaviors. Each separate lifestyle behavior was influenced by different patterns of correlates. Self-efficacy, attitude, and intention were the strongest correlates in all examined behaviors, although with various contributions, while socio-demographic, cancer-related and psychological factors provided a much smaller contribution. Conclusions Outcomes of engagement in healthy lifestyle behaviors were more positive in this study compared to other research in cancer survivors; however, there is room for improvements in adherence to all five lifestyle behaviors. Especially fruit consumption was poor and vegetable consumption even worse. Our findings emphasized that all examined lifestyle behaviors need to be encouraged, with taken into account that each lifestyle behavior may be influenced by a specific set of mainly social cognitive factors or intention.
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Affiliation(s)
- Iris M Kanera
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, P. O. Box 2960, 6401, DL, Heerlen, The Netherlands.
| | - Catherine A W Bolman
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, P. O. Box 2960, 6401, DL, Heerlen, The Netherlands.
| | - Ilse Mesters
- CAPHRI School for Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Maastricht, The Netherlands.
| | - Roy A Willems
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, P. O. Box 2960, 6401, DL, Heerlen, The Netherlands.
| | - Audrey A J M Beaulen
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, P. O. Box 2960, 6401, DL, Heerlen, The Netherlands.
| | - Lilian Lechner
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, P. O. Box 2960, 6401, DL, Heerlen, The Netherlands.
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Cheung KL, Evers SMAA, Hiligsmann M, Vokó Z, Pokhrel S, Jones T, Muñoz C, Wolfenstetter SB, Józwiak-Hagymásy J, de Vries H. Understanding the stakeholders' intention to use economic decision-support tools: A cross-sectional study with the tobacco return on investment tool. Health Policy 2016; 120:46-54. [PMID: 26718686 DOI: 10.1016/j.healthpol.2015.11.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 10/21/2015] [Accepted: 11/17/2015] [Indexed: 10/22/2022]
Abstract
BACKGROUND Despite an increased number of economic evaluations of tobacco control interventions, the uptake by stakeholders continues to be limited. Understanding the underlying mechanism in adopting such economic decision-support tools by stakeholders is therefore important. By applying the I-Change Model, this study aims to identify which factors determine potential uptake of an economic decision-support tool, i.e., the Return on Investment tool. METHODS Stakeholders (decision-makers, purchasers of services/pharma products, professionals/service providers, evidence generators and advocates of health promotion) were interviewed in five countries, using an I-Change based questionnaire. MANOVA's were conducted to assess differences between intenders and non-intenders regarding beliefs. A multiple regression analysis was conducted to identify the main explanatory variables of intention to use an economic decision-support tool. FINDINGS Ninety-three stakeholders participated. Significant differences in beliefs were found between non-intenders and intenders: risk perception, attitude, social support, and self-efficacy towards using the tool. Regression showed that demographics, pre-motivational, and motivational factors explained 69% of the variation in intention. DISCUSSION This study is the first to provide a theoretical framework to understand differences in beliefs between stakeholders who do or do not intend to use economic decision-support tools, and empirically corroborating the framework. This contributes to our understanding of the facilitators and barriers to the uptake of these studies.
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Affiliation(s)
- Kei Long Cheung
- Caphri school of Public Health and Primary Care, Health Services Research, Maastricht University, Duboisdomein 30, GT Maastricht, 6229, The Netherlands.
| | - Silvia M A A Evers
- Caphri school of Public Health and Primary Care, Health Services Research, Maastricht University, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Duboisdomein 30, GT Maastricht, 6229, The Netherlands
| | - Mickaël Hiligsmann
- Caphri school of Public Health and Primary Care, Health Services Research, Maastricht University, Duboisdomein 30, GT Maastricht, 6229, The Netherlands
| | - Zoltán Vokó
- Department of Health Policy & Health Economics, Faculty of Social Sciences, Eötvös Loránd University, Pázmány Péter sétány 1/a, Budapest, 1117, Hungary; Syreon Research Institute, Thököly út 119, Budapest, 1146, Hungary
| | - Subhash Pokhrel
- Health Economics Research Group, Brunel University London, UB8 3PH, Uxbridge, United Kingdom
| | - Teresa Jones
- Health Economics Research Group, Brunel University London, UB8 3PH, Uxbridge, United Kingdom
| | - Celia Muñoz
- Centre for Research in Health and Economics (CRES), University Pompeu Fabra, Ramon Trias Fargas 25-27, Barcelona, 08005, Spain
| | - Silke B Wolfenstetter
- Institute of Health Economics and Health Care Management Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Member of the German Center for Lung Research (DZL), Ingolstädter Landstr. 1, Neuherberg, 85764, Germany
| | | | - Hein de Vries
- Caphri school of Public Health and Primary Care Health Promotion, Maastricht University, POB 616 6200, MD Maastricht, The Netherlands
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20
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Choi SH, Kim YH. Factors Affecting Korean Registered Nurses' Intention to Implement Smoking Cessation Intervention. Osong Public Health Res Perspect 2015; 7:63-70. [PMID: 26981345 PMCID: PMC4776271 DOI: 10.1016/j.phrp.2015.11.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 10/30/2015] [Accepted: 11/23/2015] [Indexed: 12/01/2022] Open
Abstract
Objectives Nurses have been identified as an instrumental partner in tobacco reduction. This study aimed to examine factors affecting Korean nurses' intention to implement smoking cessation intervention in Busan, Korea. Methods The participants were a total of 215 Korean registered nurses. A self-administered questionnaire evaluated predisposing factors, motivational factors (attitude, social influence, and self-efficacy) and intention to implement smoking cessation intervention. Data were analyzed by t tests, Pearson's correlation, and hierarchical multiple regression. Results The mean age of the participants was 28.12 ± 5.72 years. The majority of the participants were staff nurses (85.6%), and 64.2% of the sample had < 5 years of work experience. Significant predictors of intention to implement smoking cessation intervention included perceived barrier of smoking cessation intervention (β = −0.128, p = 0.023), willingness to receive smoking cessation training (β = 0.123, p = 0.034), more positive attitude (β = 0.203, p = 0.002), higher social influence (β = 0.292, p < 0.001), and higher self-efficacy toward smoking cessation intervention (β = 0.151, p = 0.021), which explained 45% of the total variance of intention to implement smoking cessation intervention. Conclusion Attitude, social influence, and self-efficacy towards smoking cessation intervention had a significant positive influence in determining the intention to implement smoking cessation intervention. These findings can be used to develop evidence-based smoking cessation training programs for nurses in Korea. The programs should aim for positive attitude, higher social influence, and higher self-efficacy in hospital settings.
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Affiliation(s)
- Sook-Hee Choi
- Department of Nursing, Youngsan University, Yangsansi, Korea
| | - Yun-Hee Kim
- Department of Nursing, Pukyong National University, Busan, Korea
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Park S, Ahn J, Lee BK. Self-rated Subjective Health Status Is Strongly Associated with Sociodemographic Factors, Lifestyle, Nutrient Intakes, and Biochemical Indices, but Not Smoking Status: KNHANES 2007-2012. J Korean Med Sci 2015; 30:1279-87. [PMID: 26339168 PMCID: PMC4553675 DOI: 10.3346/jkms.2015.30.9.1279] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 05/14/2015] [Indexed: 12/02/2022] Open
Abstract
Despite advertised health warnings regarding the deadly hazards of smoking, many people have not heeded recommendations to quit smoking. We examined factors that affect self-rated subjective health status (SRH) scores among lifestyle, nutrient intake and biochemical parameters, and the association of SRH scores and smoking status in a large Korean adult population. Adjusted odd ratios for SRH were calculated for smoking status, selected biochemical data, and food and nutrient intake obtained using the 24-hr recall method after covariate adjustment in the 2007-2012 Korean National Health and Nutrition Examination Survey (27,534 men and women aged ≥ 20 yr). Age, sex, income, education, drinking, exercise and stress levels were associated with SRH scores, regardless of smoking status (P < 0.001). Interestingly, people in any smoking status groups considered the well-known indicators for metabolic diseases (HDL cholesterol, glucose, aspartate aminotransferase, and alanine aminotransferase in the circulation), and the intake of fiber, total vitamins A, and vitamin C as indicators of SRH. Especially in current smokers, higher intake of nutritious food groups such as grains (OR = 1.227), vegetables (OR = 1.944), and milk (OR = 2.26) significantly increased the adjusted odds ratio of SRH. However, smoking status was not associated with SRH scores. In conclusion, SRH is affected by the indices related to health but not smoking status in Korean adults. The development of a new indicator of the direct adverse effects of smoking at regular health check-ups might be required to modulate the SRH in smokers and a nutritional education should not include the possible attenuation of adverse effects of smoking by good nutrition.
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Affiliation(s)
- Sunmin Park
- Department of Food and Nutrition, Hoseo University, Asan, Korea
| | - Jaeouk Ahn
- Department of Medical IT Engineering, Soonchunhyang University, Asan, Korea
| | - Byung-Kook Lee
- Department of Preventive Medicine, Soonchunhyang University, Asan, Korea
- Chungju Medical Center, Chungju, Korea
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Correlates of the intention to implement a tailored physical activity intervention: perceptions of intermediaries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2014; 11:1885-903. [PMID: 24518647 PMCID: PMC3945575 DOI: 10.3390/ijerph110201885] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 01/15/2014] [Accepted: 01/17/2014] [Indexed: 11/17/2022]
Abstract
The public health impact of health behaviour interventions is highly dependent on large-scale implementation. Intermediaries—intervention providers—determine to a large extent whether an intervention reaches the target population, and hence its impact on public health. A cross-sectional study was performed to identify the correlates of intermediaries’ intention to implement a computer-tailored physical activity intervention. According to theory, potential correlates are intervention characteristics, organisational characteristics, socio-political characteristics and intermediary characteristics. This study investigated whether intermediary characteristics mediated the association between the intervention, organisational and socio-political characteristics and intention to implement the intervention. Results showed that intervention characteristics (i.e., observability (B = 0.53; p = 0.006); relative advantage (B = 0.79; p = 0.020); complexity (B = 0.80; p < 0.001); compatibility (B = 0.70; p < 0.001)), organisational characteristics (i.e., type of organization (B = 0.38; p = 0.002); perceived task responsibility (B = 0.66; p ≤ 0.001); capacity (B = 0.83; p < 0.001)), and the social support received by intermediary organisations (B = 0.81; p < 0.001) were associated with intention to implement the intervention. These factors should thus be targeted by an implementation strategy. Since self-efficacy and social norms perceived by the intermediary organisations partially mediated the effects of other variables on intention to implement the intervention (varying between 29% and 84%), these factors should be targeted to optimise the effectiveness of the implementation strategy.
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