Predicting intention to treat HIV-infected patients among Tanzanian and Sudanese medical and dental students using the theory of planned behaviour - a cross sectional study
© Åstrøm and Nasir; licensee BioMed Central Ltd. 2009
Received: 4 May 2009
Accepted: 20 November 2009
Published: 20 November 2009
The HIV epidemic poses significant challenges to the low income countries in sub Saharan Africa (SSA), affecting the attrition rate among health care workers, their level of motivation, and absenteeism from work. Little is known about how to deal with deterioration of human resources in the health care systems. This study aimed to predict the intention to provide surgical treatment to HIV infected patients among medical- and dental students in Tanzania and Sudan using an extended version of the Theory of Planned Behaviour (TPB).
Four hundred and seventy five medical- and dental students at the University of Dar es Salaam (mean age, 25 yr) and 642 dental students attending 6 public and private dental faculties in Khartoum (mean age 21.7 yr) completed self-administered TPB questionnaires in 2005 and 2007, respectively.
Both Tanzanian and Sudanese students demonstrated strong intentions to provide care for people with HIV and AIDS. Stepwise linear regression revealed that the TPB accounted for 51% (43% in Tanzania and Sudan) of the variance in intention across study sites. After having controlled for country and past behaviour, the TPB in terms of attitudes, subjective norms and perceived behavioural control accounted for 34% and moral norms for an additional 2,3% of the explainable variance in intention. Across both study sites, attitudes were the strongest predictor of intention followed in descending order by subjective norms, moral norms and perceived behavioural control.
The TPB is applicable to students' care delivery intentions in the context of HIV and AIDS across the two SSA countries investigated. It is suggested that attitudes, subjective norms, moral norms and perceived behavioural control are key factors in students' willingness to treat AIDS and HIV infected patients and should be targets of interventions aimed at improving the quality of health care delivery in this context.
An estimated 22 million people were living with HIV and AIDS in sub-Saharan Africa, SSA, at the end of 2007 . The United Republic of Tanzania had an estimated 1.6 million people living with HIV and AIDS as of the end of 2003 . Sudan, the biggest country of the SSA continent, is currently recognized by the World Health Organization to suffer an intermediate HIV and AIDS prevalence of 1.6% . The HIV epidemic poses significant development challenges to the low income countries in SSA . It affects the attrition rate among health care workers, their level of motivation, professional practices and absenteeism from work . To date, little is known about how to deal with the deterioration of human resources in the health care systems.
Due to the method of transmission of HIV virus through direct contact with blood, the risk for cross-infection comes into particular focus in medical and dental practices . Over 90% of the HIV infections occurring among health care workers annually stem from developing countries where occupational safety is a neglected issue . Although the risk of transmission in health care settings has been recognized to be low, fear of illness, contagion and death has influenced health workers' attitudes and thus the quality of care provided towards patients with HIV [5–7]. Increased personal risk, lack of necessary skills, knowledge gaps, difficulties in dealing with staff worries and concern about loosing other patients are the most frequent complaints [8–12]. A recent publication focusing on dental students in Khartoum, Sudan, revealed that half of the participants reported a need for further education across HIV and AIDS related issues, suggesting they are not adequately prepared for treating HIV infected patients . Unacceptable knowledge and practice as well as gaps in the availability and access to policies and protocols on the part of health care workers have been observed in several sub-Sahara African countries [11, 13–17]. According to the World Health Organization (WHO), dentists have a professional and ethical responsibility to treat patients with HIV and AIDS [18–20]. The importance of training dental and medical staff to provide health care to HIV infected patients at the same level as non-infected people have been widely recognized [17, 19]. As future health care workers, the attitudes of dental and medical students towards delivering high quality care for HIV infected patients are of particular concern. Effective promotion of quality health care delivery in the context of HIV and AIDS requires a thorough understanding of the psycho-social determinants of students' intention to provide care to HIV infected patients. Ajzen's theory of planned behaviour (TPB) is a valuable model for identifying the determinants of health behaviours, including quality health care provision for patients with HIV and AIDS .
The TPB has been applied successfully to a range of domains, including HIV related behaviours, particularly condom use [24–28]. With respect to occupational behaviour, the TPB has predicted health workers' use of gloves, their intention to provide home-care for HIV infected patients, their adherence to universal precautions for venipuncture and their intention to provide professional labour support [29–33]. The TPB has been used previously in sub-Saharan African settings to predict HIV protective behaviours, however mostly by small scale studies . It has been advocated that the applicability of socio-cognitive models to the African context should be systematically addressed considering the need for theory-based research in the planning of effective HIV and AIDS related educational programs [34, 35].
attitudes, subjective norms and perceived behavioural control will each contribute positively and statistically significantly to the prediction of intention to provide surgery treatment to HIV and AIDS infected patients
moral norms will add significantly to the prediction of behavioural intention over and above the TPB
Tanzanian Study group
A cross-sectional survey was carried out from June to September 2005 at Muhimbili University College of Health and Allied Sciences (MUHAS) at the University of Dar-es-Salaam. The target population consisted of students attending the faculties of dentistry and medicine. A total of 1,021 (862 medical and 159 dental) students were enrolled at the college in 2005. Six hundred students (100 students in each study year) attending the 1st to the 5th study year were invited to participate. A total of 476 students agreed to participate and 454 students (response rate 75.6%), mean age 25.6 (sd 2.6), 22.5% females completed supervised self-administered structured questionnaires at the faculty in class-room settings.
Sudanese Study group
A cross-sectional study was carried out from April to May 2007 among a census of dental students attending dental faculties in Khartoum, the capital city of Sudan. A list of all the dental faculties was obtained from the Ministry of Higher Education and lists of all registered students in their 3rd, 4th and 5th years were obtained from all faculties through the Dean's office. The faculties included in this study were both publicly and privately funded. Moreover, they represented all available dental faculties in Sudan, making potentiating admission from all over the country. The total number of dental students registered by the time of the survey was 782 out of which 642 students (response rate 82%), mean age 21.7, (sd 1.9), 82% females completed self-administered, anonymous questionnaires in supervised (by teaching assistants) class-room settings. The main reason for non-participation was absenteeism on the day of the data collection. More information regarding the sampling, recruitment and data collection is available in a previous publication .
Written informed consent was obtained from all participants in both countries. A formal ethics waiver was received from the research committee at the University of Science and Technology in Sudan, the Research Committee at MUHAS, Tanzania and from the Regional research committee of Norway (REK VEST).
Identical survey instruments were used at both sites. Before administration in the field, the questionnaire was reviewed by experienced local researchers, dental academics and health administrators. The survey instrument was adapted from instruments previously employed in SSA . In Tanzania, the survey instrument was constructed and completed in English. In Sudan, the survey instrument was constructed in English, translated into Arabic (the Sudanese national language) and then back translated into English by independent language experts. The survey instrument covered socio-demographic factors and each component of the TPB developed according to the guidelines proposed by Ajzen and Fishbein .
Variables and measurements
Intention to provide surgical treatment to patients infected with HIV/AIDS as part of future professional work was measured by three items. E.g. "How likely is it that you will provide--------". The respondents indicated their subjective probability along a five point response scale from (1) very unlikely to (5) very likely. A sum score was constructed from the three items.
Attitudes- were measured by 5 items, three positively worded and two negatively worded. Responses were recorded on a five-point scale ranging from (1) strongly disagree to (5) strongly agree. A sum score was constructed after positively worded items were reversibly scored.
Subjective norms were measured by 4 items in relation to all my patients, community leaders, my family and my teacher at the college. E.g. "My teacher at my college wants me to provide surgical treatment to HIV and AIDS infected patients as part of future professional work". Responses were indicated on five-point scales ranging from (1) strongly disagree to (5) strongly agree. A sum score was constructed from the 4 items.
Perceived behavioural control was assessed using one item, "How easy or difficult is it for you to provide surgical treatment to patients infected with HIV and AIDS as part of future professional work? Responses were rated on a scale ranging from (1) very difficult to (5) very easy.
Moral norms were assessed using 3 items "I I feel guilty if I do not provide ----------". "I get a bad conscience if I do not provide surgical treatment and "It is morally wrong for me not to provide surgical treatment ". Responses were indicated on a scale ranging from (1) strongly disagree to (5) strongly agree. A sum score was constructed from the 3 items.
Past behaviour was assessed using a dummy variable in terms of "Have you ever participated in the clinical treatment of HIV and/AIDS infected patients". Answers were provides as (1) yes and (0) no.
Confirmatory factor analysis, CFA, with AMOS 16 was employed to test the hypothesized measurement model with respect to intention, attitudes, subjective norms and moral norms, specifying the relationship between the observed variables (indicators) and the underlying latent variables (concepts). Thus CFA was used to test whether the Tanzanian and Sudanese data were consistent with an a priori hypothesized 4-factor model. The parameters of the model were estimated with maximum likelihood (ML) estimation. Missing data were assumed to be missing at random and was handled using the direct approach in AMOS 16 .
The adequacy of overall model fit was estimated using chi-square test statistics and the following supplemental fit indices, root-mean-squared error of approximation (RMSEA), the comparative fit index (CFI) and Akaike's information criteria, AIC. In line with the conventional recommendations of Hu and Bentler , a good model fit was indicated by a RMSEA less or equal to .06, a CFI greater or equal to .90 and with models having lower AIC being more plausible. The statistical significance of parameter estimates are the critical ratio (CR) representing the parameter estimate divided by its standard error. Based on a level of 0.05, the test statistics need to be <± 1.96 before the null hypothesis can be rejected. All other analyses were performed using SPSS 15.0 (SPSS, Inc, Chicago, Illinois, USA). Internal consistency reliability of-and bivariate associations among the theoretical constructs were assessed using Cronbach's alpha and Pearson's correlation coefficients, respectively. Unadjusted and adjusted marginal means and 95% confidence intervals for the components of the TPB and the construct of moral norm were estimated using General Linear Models, GLM (ANOVA). Linear multiple regression analysis was applied to predict intention from the TPB and external variables. The effect of the independent variables were expressed in terms of standardized regression coefficients (betas) and tested for statistical significance by means of F-test. The fit of the model was reported in terms of the squared multiple correlation coefficient (R2).
Percentage distribution (n) of participating students by socio-demographic characteristics and country.
Younger ≤ 22 yr
Older >22 yr
Low (below university)
Low (below university)
Year of study
1st - 4th study year
5th study years
Preferred future workplace
Past experience care to HIV infected patients
Measurement model for the extended TPB
CFA indicated that an initially proposed 4-factor model specified for the extended TPB questionnaire was not an acceptable fit on any indices employed, neither with the Tanzanian (χ2 = 308,057, df = 84, CFI = 0.91, RMSEA = 0.07, AIC = 380.0) nor with the Sudanese data (χ2 = 351,398, df= 84, CFI = 0.89, RMSEA = 0.07, AIC = 453.3). Modification indices indicated some specified error terms to co-vary and two cross loading from subjective norms and moral norms to indicators of intention. Re-running the model with the above suggested modifications indicated acceptable fit for the Tanzanian (χ2 = 191,735 df = 79, CFI = 0.96, RMSEA = 0.05, AIC = 273.7) as wells to the Sudanese data (χ2 = 281.058, df = 83, CFI = 0.92, RMSEA = 0.06, AIC = 385.0). All factor loadings (standardized regression weights) were in the expected direction and were statistically significant at CR>1.96, with inter-factor correlations ranging from 0.46-0.78 (Tanzania) and from 0.50-0.68 (Sudan). Thus, all inter-factor correlations were below the threshold of 0.80 which is set as cut off to indicate poor discriminative validity .
Unadjusted (sd) and adjusted estimated marginal means (95% CI) and Cronbach's alpha for the TPB constructs and moral norms according to country.
Mean (95% CI)
Mean (95% CI)
Subjective norms (5 items)
Perceived control (1 item)
Prediction of intention to provide surgical treatment to patients with HIV and AIDS as part of future professional work
In Tanzanian and Sudanese students, the TPB components, moral norms, and past behaviour were statistically significantly associated with intention. In Tanzanian students, Pearson's correlation coefficients ranged from r = .52 between attitudes and intention to r = .14 between past behaviour and intention. In Sudanese students, Pearson's correlation ranged from r = .54 between intention and attitudes to r = .03 between intention and past behaviour.
Intention to provide surgical treatment to HIV and AIDS patients by attitudes, subjective norms, perceived behavioural control and moral norms.
Perceived behavioural control
This study supports the applicability of an extended version of the TPB to students' intended care delivery for patients with HIV and AIDS in two culturally different sub-Saharan African countries. According to the CFA, the extended TPB questionnaire reflected four concepts across the study sites in terms of attitudes, subjective norms, moral norms and intention, thus lending support to it's within construct validity, formally. This appears to imply that the four constructs underlying the TPB questionnaire are discrete measures that can be reliably assessed in Tanzanian and Sudanese students and that those measures can be reported as four summary scores.
A total of six variables explained 51% of the variance in health care delivery intentions across study sites. After having controlled for country and past behaviour, attitudes, subjective norms and perceived behavioural control accounted for an additional 34% of the explainable variance in intention. This finding is consistent with those of previous studies, whereby the TPB has explained 68% of nurses' intention to adhere to universal precautions, 48% of health workers' intention to provide home care for HIV infected individuals, 35% of nurses' intention to care for SARS patients and 70% of nurses intended labour support [29–33]. In line with a growing body of research supporting the role of perceived moral obligations as an independent predictor of intention, moral norms contributed 2.3% to the explained variance in students' intentions after controlling for the TPB variables. This factor which has moral connotations and represents personal feelings of responsibility has been considered to be important in the adoption of several health related behaviours [36, 37]. Conner and Armitage  found that moral norms contributed an additional 4% of the variance in intention after controlling for the TPB across various behaviours. The present results suggest that the TPB and its extended version is useful in the SSA context in terms of identifying correlates of health care delivery that can be targets in interventions aimed at improving health care delivery to HIV infected patients.
A major shortcoming of the TPB model has been its inability to account for the influence of past behaviour [42, 43]. Evidence from meta-analytical reviews suggests that the addition of past behaviour to the TPB explains on average 7% of the variance in intention . In this study, past experience significantly predicted intention after controlling for the TPB and moral norms and left the cognitive variables of the model almost unaffected. This suggests that the TPB provides a fairly accurate description of the intention formation process considering HIV and AIDS related care delivery among Tanzanian and Sudanese students. Students decide upon care delivery for HIV infected patients mainly as a consequence of situation specific expectations of the behaviour itself and to a lesser extent because they have engaged in similar care delivery previously.
Tanzanian and Sudanese students had on average strong intentions to provide surgical treatment to HIV infected patients as part of their future professional work. In contrast, in a study of Taiwanese nurse students' care intentions, almost all stated that they did not intend to care for HIV infected patients . In this study, intended health care delivery was primarily driven by attitudes followed in descending order of importance by social norms, moral norms and perceived behavioural control in both countries. This finding is congruent with findings in other studies of treatment delivery and compliance with precautions in health care workers [29–32]. This finding is also similar to that reported by Sauls , who identified attitudes as more influential in determining health care delivery intentions than subjective norms. In contrast, Vermette and Godin  found perceived behavioural control to be the strongest influencing factor of nurses' intention to provide home care for HIV infected people. Students who did not express confidence in their ability to circumvent difficulties associated with care delivery, who evaluated care delivery negatively and who felt less normative pressure from colleagues at the faculty and less moral obligations to act were less likely to have strong intentions. These findings add insight to faculty administrators and educators to further develop strategies to increase students' intention to care for patients with HIV and AIDS. Providing sufficient and adequate protective equipments, routinely practicing infection control measures and protocols and providing up to date continuing education and training exercises should improve students' ability to overcome perceived obstacles related to care delivery. Even more important is the enhancement and reinforcement of students' positive attitudes through verbal expression of approval, persuasive messages based on strong arguments, substantial rewards and psychological support by faculty staff to encourage and acknowledge their efforts. Students' decision to provide surgical treatment to HIV infected patients was also influenced by their expectations that faculty colleagues would approve their provision of such treatment. In planning intervention programs, one approach which could be particularly important among students having less care delivery experience is to train peer leaders to communicate the importance of quality care for HIV infected patients. Interventions might also benefit from making students' focus on moral obligations by increasing their awareness of others' needs and their perception that providing quality care could help relieve such needs.
Some limitations of this study should be considered when drawing inferences based upon its results. In Tanzania, dental and medical students were recruited from one university, thus the representativeness of the findings to other undergraduate- and post-graduate students is unknown. Self-selection might also be a potential limitation since the students who chose to participate might differ from those who did not implying that only students with interest in health care delivery for HIV infected patients responded to the survey invitation. Students might have over reported intention to provide surgical treatment to HIV infected patients because of social desirability bias. However, a general effect of low reliability is weak associations between variables. Thus, the magnitude of the correlations presented, and the findings harmonizing with the TPB indicate acceptable reliability as well as validity of the results. Past experience as assessed in this study was limited to the extent that it provided no information about the level and frequency of HIV and AIDS related care delivery. Whereas the present findings support the notion that the TPB model is applicable in the sub-Saharan African context, it says nothing about the validity of the model per se, only that the TPB is just as useful in sub Saharan Africa as in other industrialized country contexts.
The TPB is applicable to students' intention to provide health care to patients with HIV and AIDS across two sub-Saharan African countries. It is suggested that attitudes, subjective norms, moral norms and perceived behavioural control are key factors in students' decision to treat HIV infected patients and should be targeted in interventions aimed at improving health care quality in the context of HIV and AIDS.
This study was financially supported by the Faculty of Medicine and Dentistry, University of Bergen and Statens Lånekasse, Norway. We are grateful to Dr. Elizabeth Lyimo who was responsible for collecting data in Tanzania.
- UNAIDS: 2008 report on the global aids epidemic. 2008, Geneva: World Health Organization and UNAIDSGoogle Scholar
- Marchal B, De Brouwere V, Kegels G: Viewpoint: HIV/AIDS and the health workforce crisis: What are the next steps?. Tropical Medicine and International Health. 2005, 10: 300-304. 10.1111/j.1365-3156.2005.01397.x.View ArticlePubMedGoogle Scholar
- Børsum KM, Gjermo PE: Relationship between knowledge and attitudes regarding HIV/AIDS among dental school employees and students. Eur J Dent Educ. 2004, 8: 105-110. 10.1111/j.1600-0579.2004.00326.x.View ArticlePubMedGoogle Scholar
- Kermode M, Jolley D, Langkham B, Thomas MS, Crofts N: Occupational exposure to blood and risk of bloodborne infection among health care workers in rural north Indian healthy care settings. Am J Infect Control. 2005, 33: 34-41. 10.1016/j.ajic.2004.07.015.View ArticlePubMedGoogle Scholar
- Gerbert B: AIDS and infection control in dental practice: dentists' attitudes, knowledge and behaviour. JADA. 1987, 114: 311-314.PubMedGoogle Scholar
- Kelly JA, Lawrence JS, Hood H, Smith JR, Cook DJ: Nurses' attitudes towards AIDS. The Journal of Continuing Education in Nursing. 1988, 19: 78-835.PubMedGoogle Scholar
- Crossley ML: An investigation of dentists' knowledge, attitudes and practices towards HIV+ and patients with other blood-borne viruses in South Cheshire, UK. BDJ. 2004, 196: 749-754. 10.1038/sj.bdj.4811382.View ArticlePubMedGoogle Scholar
- Elwalid FN, Astrom AN, David J, Ali RW: HIV and AIDS related knowledge, sources of information, and reported need for further education among dental students in Sudan: a cross sectional study. BMC Public Health. 2008, 14 (8): 286.Google Scholar
- Kermode M, Holmes W, Langkham B, Thomasa MS, Gifford S: HIV_related knowledge, attitudes & risk perception among nurses, doctors & other health care workers in rural India. Indian J Med Res. 2005, 122: 258-264.PubMedGoogle Scholar
- Kitaura H, Kobayashi AK, Yamada T: Knowledge and attitudes of Japanese dental health care workers towards HIV-related disease. Journal of Dentistry. 1997, 25: 3-4. 10.1016/S0300-5712(96)00030-9.View ArticleGoogle Scholar
- Reis C, Heisler M, Amowitz LL, Moreland RS, Mafeni J, Anyamele C, Lacopino V: Discriminatory attitudes and practices by health workers towards patients with HIV/AIDS in Nigeria. Plos Med. 2005, 2 (8): e246-10.1371/journal.pmed.0020246.View ArticlePubMedPubMed CentralGoogle Scholar
- Hartshorne JE, Carstens IL, Engelbrecht JJ, Hattingh D: Dental and oral hygiene students knowledge of HIV infection and AIDS. J Dent Assoc S Africa. 1994, 49: 161-167.Google Scholar
- Angelillo IF, Villari P, D'Errico MM, Grasso G, Ricciardi G, Pavia M: Dentists and AIDS: a survey of knowledge, attitudes and behaviour in Italy. J Public Health. 1994, 54: 145-152.Google Scholar
- Ogunbodede EO, Folayan FO, Adedigba MA: Oral health care workers and HIV infection control practices in Nigeria. Tropical Doctor. 2005, 35: 147-150. 10.1258/0049475054620707.View ArticlePubMedGoogle Scholar
- Cachigo JN, Naidoo S: HIV/AIDS: The knowledge, attitudes and behaviour of dentists in Nairobi, Kenya. SADJ. 2001, 56: 587-591.Google Scholar
- Naidoo S: Dentists and cross-infection. J Dent Assoc S Africa. 1997, 52: 469-75.Google Scholar
- Ogunbodede EO, Rudolph MJ: Policies and protocols for preventing transmission of HIV infection in oral health care in South Africa. SADJ. 2002, 57: 469-75.PubMedGoogle Scholar
- Coogan MM, Greenspan J, Challacombe SJ: Oral lesions in infection with human immunodeficiency virus. Bull World Health Organization. 2005, 83: 700-706.Google Scholar
- Cohen LA, Romberg E, Grace E: Revisiting the attitudes of dental faculty toward individuals with AIDS. Journal of Dental Education. 2001, 65: 249-252.PubMedGoogle Scholar
- Valois P, Turgeon H, Godin G, Blondeau D, Cote F: Influence of a persuasive strategy on nursing students' beliefs and attitudes towards provision of care to people living with HIV/AIDS. Journal of Nursing Education. 2001, 40: 354-358.PubMedGoogle Scholar
- Ajzen I: The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991, 50 (1): 179-211. 10.1016/0749-5978(91)90020-T.View ArticleGoogle Scholar
- Rhodes RE, Courneya KS: Modelling the theory of planned behaviour and past behaviour. Psychology, Health and Medicine. 2003, 8: 57-68. 10.1080/1354850021000059269.View ArticlePubMedGoogle Scholar
- Yzer M, Capella JN, Fishbein M, Hornick R: The role of distal variable in behaviour change: Effects of adolescents' risk for marijuana use on intention to use marijuana. J Appl Soc Psychol. 2004, 34: 1229-1250. 10.1111/j.1559-1816.2004.tb02005.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Armitage CJ, Conner M: Efficacy of the theory of planned behaviour: A meta-analytic review. Br J Soc Psychol. 2001, 40: 471-499. 10.1348/014466601164939.View ArticlePubMedGoogle Scholar
- Conner M, Armitage JC: Extending the theory of planned behaviour: A review and avenues for further research. J Appl Soc Psychol. 1998, 28: 1429-1464. 10.1111/j.1559-1816.1998.tb01685.x.View ArticleGoogle Scholar
- Sheeran P, Taylor S: Predicting intentions to use condoms; A meta analysis and comparison of the theories of reasoned action and planned behavior. JAppl Soc Psychol. 1999, 28 (8): 1624-1675. 10.1111/j.1559-1816.1999.tb02045.x.View ArticleGoogle Scholar
- Kakoko DC, Åstrøm AN, Lugoe WL, Lie GT: Predicting intended use of voluntary counseling and testing services among Tanzanian teachers using the theory of planned behaviour. Soc Sci Med. 2006, 63: 991-999. 10.1016/j.socscimed.2006.02.016.View ArticlePubMedGoogle Scholar
- Alabarracin D, Johnson BT, Fishbein M, Muellerleile PA: Theories of reasoned action and planned behaviour as models of condom use: A meta-analysis. Psychol Bull. 2001, 127: 142-61. 10.1037/0033-2909.127.1.142.View ArticleGoogle Scholar
- Godin G, Naccache H, Morel S, Ebacher MF: Determinants of nurses' adherence to universal precautions for venipunctures. AJIC. 2000, 28: 359-64.Google Scholar
- Vermette L, Godin G: Nurses' intention to provide home care: the impacts of AIDS and homosexuality. AIDS CARE. 1996, 8: 479-488. 10.1080/09540129650125669.View ArticlePubMedGoogle Scholar
- Boyle CA, Henly SJ, Larson E: Understanding adherence to hand hygiene recommendations: The theory of planned behaviour. Am J Infection Control. 2001, 29: 352-60. 10.1067/mic.2001. 18405.View ArticleGoogle Scholar
- Ko NY, Feng MC, Chiu DY, Wu MH, Feng JY, Pan SM: Applying the theory of planned behaviour to predict nurses' intention and volunteering to care for SARS patients in southern Kaoshiung. J Med Sci. 2004, 20: 389-98.Google Scholar
- Sauls DJ: Nurses' attitudes towards provision of care and related health outcomes. Nursing Research. 2007, 56: 117-123. 10.1097/01.NNR.0000263972.54619.4a.View ArticlePubMedGoogle Scholar
- Fishbein M, Ajzen I: Theory -based behavior change interventions: Comments on Hobbis and Sutton. J Health Psychol. 2005, 10: 27-31. 10.1177/1359105305048552.View ArticlePubMedGoogle Scholar
- Hardeman W, Johnston M, Johnston D, Bonetti D, Wareham NJ, Kinmonth AL: Application of the theory of planned behavior in behavior change interventions: A systematic review. Psychol Health. 2002, 17: 123-158.View ArticleGoogle Scholar
- Triandis HC: Values, attitudes and interpersonal behaviour. Nebraska symposium on motivation, beliefs, attitudes and values. Edited by: Page MM. Lincoln NE: University of Nebraska, 195-259.
- Godin G, Conner M, Sheeran P: Bridging the intention-behaviour gap: The role of moral norm. JAppl Soc Psychol. 2005, 44: 497-512. 10.1348/014466604X17452.Google Scholar
- Masalu JR: Oral health behaviour and oral quality of life among students in Tanzania - intervention opportunities. PhD Thesis. 2002, Bergen: University of BergenGoogle Scholar
- Ajzen I, Fishbein M: Understanding attitudes and predicting social behavior. 1980, Englewood Cliffs, NJ: Prentice- HallGoogle Scholar
- Arbuckle J: AMOS user's guide 7.0. 2006, Spring House, PA: AMOS Development CorporationGoogle Scholar
- Hu L, Bentler PM: Cut off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Str Eq Mod. 1999, 6: 1-55. 10.1080/10705519909540118.View ArticleGoogle Scholar
- Godin G, Kok G: The theory of planned behaviour: A review of its applications to health related behaviours. Am J Health Promot. 1996, 11: 87-98.View ArticlePubMedGoogle Scholar
- Ouellette J, Wood W: Habit and intention in everyday life: The multiple processes by which past behaviour predicts future behaviour. Psychol Bull. 1998, 124: 54-74. 10.1037/0033-2909.124.1.54.View ArticleGoogle Scholar
- Tsai YF, Keller ML: Predictors of Taiwanese nurses' intention to care for patients who are HIV positive. Clin Nurs Res. 1995, 4: 442-64. 10.1177/105477389500400409.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/9/213/prepub
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