{"id":{"repo_id":"london-metro","oai_identifier":"oai:repository.londonmet.ac.uk:923"},"canonical_url":"https://search.dev.ndltd.org/etd/london-metro/oai:repository.londonmet.ac.uk:923","repository":{"repo_id":"london-metro","name":"London Metropolitan University","base_url":"https://repository.londonmet.ac.uk/cgi/oai2"},"display":{"title":"Professional Doctorate in Health Psychology: Competence Assessments","abstract":"Smoking is a deep-rooted and complex psychological, behavioural, social and physiological practice. Smoking is reinforced by positive reinforcement outcomes and negative withdrawals symptoms experienced during abstinence (Marks et al., 2006). Furthermore smoking is a primary contributing factor in health inequality (Raw, McNeill, & West, 1998). Current data suggests that smoking rates in England have fallen to their lowest rate in over eighty years (Brown & West, 2014). Despite the downwards trend in smoking prevalence, smoking remains the UK’s biggest preventable cause of premature mortality (Twigg, Moon, & Walker, 2004). It has been acknowledged that the specialist Stop Smoking support programmes provided by the NHS have helped reduce smoking prevalence (Bauld, Bell, McCullough, Richardson, & Greaves, 2010). Whilst there has been a vast amount of research investigating the most effective behavioural and pharmacological support models (Lancaster, Stead, Silagy, & Sowden, 2000) there has been little research on the impact of smoking cessation advisor smoking status and clinical effectiveness (Lindson-Hawley, Begh, McDermott, McEwen, & Lycett, 2013). This study aimed to identify factors that contribute to NHS Stop Smoking advisor performance. Factors analysed included: advisor smoking status (historic and present); attitudes and beliefs towards smoking; level of training; proportion of time spent supporting patients; and number of patients supported. This study implemented a quantitative cross-sectional design. An online survey was used which consisted of three standardised questionnaires. The sample consisted of Stop Smoking advisors (n=159) from 24 London boroughs. The results were analysed using an ordinal logistic regression. The regression model showed no significant impact on the majority of the variables investigated. The non-contributing variables included: level of training; years practiced; level of advisor education; and number of patients supported in a given year. The model did however show that proportion of time spent delivering smoking cessation support significantly influenced quit rate. The results reinforce previous literature by Lindson-Hawley et al. (2013) which suggests smoking status does not significantly influence smoking practitioners’ outcomes or attitudes towards smoking. Proportion of time spent providing support was found to be a significant factor in predicting quit rate. These results suggest that these factors should be considered when recruiting, commissioning and training new smoking cessation advisors or provider organisations.","abstract_html":"Smoking is a deep-rooted and complex psychological, behavioural, social and physiological practice. Smoking is reinforced by positive reinforcement outcomes and negative withdrawals symptoms experienced during abstinence (Marks et al., 2006). Furthermore smoking is a primary contributing factor in health inequality (Raw, McNeill, & West, 1998). Current data suggests that smoking rates in England have fallen to their lowest rate in over eighty years (Brown & West, 2014). Despite the downwards trend in smoking prevalence, smoking remains the UK’s biggest preventable cause of premature mortality (Twigg, Moon, & Walker, 2004). It has been acknowledged that the specialist Stop Smoking support programmes provided by the NHS have helped reduce smoking prevalence (Bauld, Bell, McCullough, Richardson, & Greaves, 2010). Whilst there has been a vast amount of research investigating the most effective behavioural and pharmacological support models (Lancaster, Stead, Silagy, & Sowden, 2000) there has been little research on the impact of smoking cessation advisor smoking status and clinical effectiveness (Lindson-Hawley, Begh, McDermott, McEwen, & Lycett, 2013). This study aimed to identify factors that contribute to NHS Stop Smoking advisor performance. Factors analysed included: advisor smoking status (historic and present); attitudes and beliefs towards smoking; level of training; proportion of time spent supporting patients; and number of patients supported. This study implemented a quantitative cross-sectional design. An online survey was used which consisted of three standardised questionnaires. The sample consisted of Stop Smoking advisors (n=159) from 24 London boroughs. The results were analysed using an ordinal logistic regression. The regression model showed no significant impact on the majority of the variables investigated. The non-contributing variables included: level of training; years practiced; level of advisor education; and number of patients supported in a given year. The model did however show that proportion of time spent delivering smoking cessation support significantly influenced quit rate. The results reinforce previous literature by Lindson-Hawley et al. (2013) which suggests smoking status does not significantly influence smoking practitioners’ outcomes or attitudes towards smoking. Proportion of time spent providing support was found to be a significant factor in predicting quit rate. These results suggest that these factors should be considered when recruiting, commissioning and training new smoking cessation advisors or provider organisations.","abstract_has_math":false,"creators":["Anastasi, Natasha Angela"],"institution":"London Metropolitan University","degree_name":"other","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09","date_published":"2015-09","updated_at":"2026-07-24T02:54:20Z","subjects":["610 Medicine & health"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.grantnumber","label":"Dc Identifier Grantnumber","values":["N/A"],"render_values":[{"text":"N/A","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.sponsor","label":"Sponsor","values":["London Metropolitan University"]},{"key":"dc:creator","label":"Author","values":["Anastasi, Natasha Angela"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09"]},{"key":"dc:date.issued","label":"Date","values":["2015-09"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Social Sciences - to June 2021","School of Social Sciences and Professions (SSSP)","School of Psychology"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["London Metropolitan University"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://repository.londonmet.ac.uk/923/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["other"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["610 Medicine & health"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.grantnumber","label":"Dc Identifier Grantnumber","values":["N/A"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://repository.londonmet.ac.uk/923/1/AnastasiNatasha_ProfessionalDoctorateInHealthPsychologyCompetenceAssessments.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Smoking is a deep-rooted and complex psychological, behavioural, social and physiological practice. Smoking is reinforced by positive reinforcement outcomes and negative withdrawals symptoms experienced during abstinence (Marks et al., 2006). Furthermore smoking is a primary contributing factor in health inequality (Raw, McNeill, & West, 1998). Current data suggests that smoking rates in England have fallen to their lowest rate in over eighty years (Brown & West, 2014). Despite the downwards trend in smoking prevalence, smoking remains the UK’s biggest preventable cause of premature mortality (Twigg, Moon, & Walker, 2004). It has been acknowledged that the specialist Stop Smoking support programmes provided by the NHS have helped reduce smoking prevalence (Bauld, Bell, McCullough, Richardson, & Greaves, 2010). Whilst there has been a vast amount of research investigating the most effective behavioural and pharmacological support models (Lancaster, Stead, Silagy, & Sowden, 2000) there has been little research on the impact of smoking cessation advisor smoking status and clinical effectiveness (Lindson-Hawley, Begh, McDermott, McEwen, & Lycett, 2013). This study aimed to identify factors that contribute to NHS Stop Smoking advisor performance. Factors analysed included: advisor smoking status (historic and present); attitudes and beliefs towards smoking; level of training; proportion of time spent supporting patients; and number of patients supported. This study implemented a quantitative cross-sectional design. An online survey was used which consisted of three standardised questionnaires. The sample consisted of Stop Smoking advisors (n=159) from 24 London boroughs. The results were analysed using an ordinal logistic regression. The regression model showed no significant impact on the majority of the variables investigated. The non-contributing variables included: level of training; years practiced; level of advisor education; and number of patients supported in a given year. The model did however show that proportion of time spent delivering smoking cessation support significantly influenced quit rate. The results reinforce previous literature by Lindson-Hawley et al. (2013) which suggests smoking status does not significantly influence smoking practitioners’ outcomes or attitudes towards smoking. Proportion of time spent providing support was found to be a significant factor in predicting quit rate. These results suggest that these factors should be considered when recruiting, commissioning and training new smoking cessation advisors or provider organisations."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Professional Doctorate in Health Psychology: Competence Assessments"]}]}],"canonical_facts":{"dc:contributor.sponsor":["London Metropolitan University"],"dc:creator":["Anastasi, Natasha Angela"],"dc:date":["2015-09"],"dc:date.issued":["2015-09"],"dc:description.abstract":["Smoking is a deep-rooted and complex psychological, behavioural, social and physiological practice. Smoking is reinforced by positive reinforcement outcomes and negative withdrawals symptoms experienced during abstinence (Marks et al., 2006). Furthermore smoking is a primary contributing factor in health inequality (Raw, McNeill, & West, 1998). Current data suggests that smoking rates in England have fallen to their lowest rate in over eighty years (Brown & West, 2014). Despite the downwards trend in smoking prevalence, smoking remains the UK’s biggest preventable cause of premature mortality (Twigg, Moon, & Walker, 2004). It has been acknowledged that the specialist Stop Smoking support programmes provided by the NHS have helped reduce smoking prevalence (Bauld, Bell, McCullough, Richardson, & Greaves, 2010). Whilst there has been a vast amount of research investigating the most effective behavioural and pharmacological support models (Lancaster, Stead, Silagy, & Sowden, 2000) there has been little research on the impact of smoking cessation advisor smoking status and clinical effectiveness (Lindson-Hawley, Begh, McDermott, McEwen, & Lycett, 2013). This study aimed to identify factors that contribute to NHS Stop Smoking advisor performance. Factors analysed included: advisor smoking status (historic and present); attitudes and beliefs towards smoking; level of training; proportion of time spent supporting patients; and number of patients supported. This study implemented a quantitative cross-sectional design. An online survey was used which consisted of three standardised questionnaires. The sample consisted of Stop Smoking advisors (n=159) from 24 London boroughs. The results were analysed using an ordinal logistic regression. The regression model showed no significant impact on the majority of the variables investigated. The non-contributing variables included: level of training; years practiced; level of advisor education; and number of patients supported in a given year. The model did however show that proportion of time spent delivering smoking cessation support significantly influenced quit rate. The results reinforce previous literature by Lindson-Hawley et al. (2013) which suggests smoking status does not significantly influence smoking practitioners’ outcomes or attitudes towards smoking. Proportion of time spent providing support was found to be a significant factor in predicting quit rate. These results suggest that these factors should be considered when recruiting, commissioning and training new smoking cessation advisors or provider organisations."],"dc:format":["text"],"dc:identifier.grantnumber":["N/A"],"dc:identifier.uri":["https://repository.londonmet.ac.uk/923/1/AnastasiNatasha_ProfessionalDoctorateInHealthPsychologyCompetenceAssessments.pdf"],"dc:publisher.department":["School of Social Sciences - to June 2021","School of Social Sciences and Professions (SSSP)","School of Psychology"],"dc:publisher.institution":["London Metropolitan University"],"dc:relation.isreferencedby":["https://repository.londonmet.ac.uk/923/"],"dc:subject":["610 Medicine & health"],"dc:title":["Professional Doctorate in Health Psychology: Competence Assessments"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["other"]},"updated_at":"2026-07-24T02:54:20Z"}