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An information-motivation-behavioural skills analysis of long-lasting insecticidal net use among pregnant women in a hospital in North-Eastern Nigeria

Abstract

Background

Sleeping under a long-lasting insecticidal net (LLIN) is recommended for all pregnant women in sub-Saharan Africa, due to the high prevalence of malaria infection and its associated complications in the region. Despite this, LLIN use has still remained sub-optimal among pregnant women in Maiduguri, Nigeria. Understanding the interplay of factors influencing this important health behaviour would guide the development of interventions to promote its adoption.

Methods

Data was collected from 380 randomly selected antenatal care attendees of a hospital in Maiduguri, using structured questionnaires. This data was then used to test the Information-Motivation-Behavioural Skills (IMB) model, for model fit, and interrelations among the constructs, using the structural equation modelling analysis with Smart-PLS.

Results

Information and motivation were significantly related to behavioural skills (r = 0.29, p < 0.001 and r = 0.37, p < 0.001, respectively); and also to behaviour (r = 0.22, p < 0.001 and r = 0.11, p = 0.033 respectively). Behavioural skills however, did not significantly relate to behaviour (r = 0.03, p = 0.278).

Conclusion

These findings highlight the potential usefulness of the IMB model in guiding interventions for promoting LLIN use among this group. More emphasis should also be laid on boosting levels of information and motivation among the target group.

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Background

Malaria remains a disease of public health importance in sub-Saharan Africa, with Nigeria contributing the most number of cases to its global incidence [1]. Malaria during pregnancy is associated with several complications like: maternal anaemia [2,3,4,5,6], low-birth weight [7, 8], preterm delivery [9, 10], abortion [11, 12] and still birth [13, 14]. Pregnant women have been reported to have higher risks of contracting malaria [15, 16], and also attract twice more mosquitoes than their non-pregnant counterparts [17]. In Borno state, Nigeria, malaria prevalence as high as 60.3% [18] and 44.5% [19] have been reported among ante-natal care attendees of a tertiary health centre. Regularly sleeping under a long-lasting insecticidal net (LLIN) significantly reduces the incidence of malaria and its complications during pregnancy [20, 21]. The World Health Organization (WHO) as such, recommends its use, to all pregnant women in malaria-endemic areas of sub-Saharan Africa [22]. Despite these recommendations, compliance with LLIN has remained very low, as reported in the National Health and Demographic Survey (NHDS) that only 13.8% of pregnant women in Borno state had slept under an LLIN the night before the survey [23]. In Urban Borno, 11.3% of households had at least one LLIN for every two persons, while 55.5% of pregnant women in north-eastern Nigeria had an LLIN [24]. Even in a tertiary health centre in Maiduguri, only 2.8% of its antenatal care attendees were sleeping under an LLIN [25].

Understanding the interplay of determinant factors for LLIN use among pregnant women could guide the development of health interventions to promote its adoption. The Information-Motivation-Behavioural skills (IMB) theory has proven to be a useful model in explaining the pathway to some health behaviours like HIV preventive behaviour [26], diabetes self-care [27], and even curb-side recycling behaviour [28]. A health educational intervention guided by the model was also effective in improving HIV preventive behaviours among truck drivers in India [29]. This model was first suggested by Fisher and Fisher, to explain HIV preventive behaviours among college students [26]. It captures the psychological determinants of performing health behaviours which have an impact on health. The model, as illustrated in Fig. 1, emphasizes that information about a health behaviour, even though necessary, is not enough to cause a behavioural change [30]. It also underscores the need for high levels of motivation, which comprises both personal and social motivation [31]. Behavioural skills on the other hand, entail both the actual as well as perceived abilities to carry out the desired health behaviour [31].

Fig. 1
figure 1

The Information-Motivation-Behavioural Skills Model. It focuses on three components which result in a behavioural change, which are: relevant information on the desired behaviour; the second is appropriate motivation to carry out such behaviours, while the third is ensuring that the individual is equipped with the necessary skills and competencies to carry out the desired behaviours

The main objective of the study was to adapt the IMB model to analyze LLIN use among pregnant women, with the following specific objectives:

  1. a.

    To determine the relationship between ‘information’ and ‘behavioural skills’ among the respondents.

  2. b.

    To determine the relationship between ‘motivation’ and ‘behavioural skills’ among the respondents.

  3. c.

    To determine the relationship between ‘behavioural skills’ and ‘behaviour’ among the respondents.

  4. d.

    To determine the relationship between ‘information’ and ‘behaviour’ among the respondents.

  5. e.

    To determine the relationship between ‘motivation’ and ‘behaviour’ among the respondents.

  6. f.

    To determine the mediating effect of ‘behavioural skills’ on the relationship between ‘information’ and ‘behaviour’ among the respondents.

  7. g.

    To determine the mediating effect of ‘behavioural skills’ on the relationship between ‘motivation’ and ‘behaviour’ among the respondents.

Methods

Study location

The study area was Maiduguri, the Borno state capital in north-eastern Nigeria. Its vegetation is Sudan savannah, with a climate that varies according to the time of the year, with temperatures ranging from 25 °C to 44 °C, and an average annual rainfall of 613 mm [32]. It has a population of 540,016, consisting of 282,409 males and 257,607 females [33]. Maiduguri hosts 432,785 persons displaced from various local government areas of Borno state, by the Boko Haram insurgency [34]. The main economic activities are agriculture and trading, while Hausa and Kanuri are the main languages spoken [32]. The study was conducted at the State Specialist Hospital, Maiduguri (SSHM), which is centrally-located in Maiduguri. The hospital’s ANC clinic receives an average of about 100 clients every day, and which is the highest in the state. A previous study had revealed a malaria prevalence of 48.1% among the hospital’s antenatal care attendees [35]. LLINs are not provided at the hospital.

Study design and participants

This cross-sectional study was conducted among antenatal care (ANC) attendees of the SSHM. The criteria for inclusion into the study was to be a pregnant woman registered for her first ANC at the SSHM. As this study formed the baseline of a health educational intervention study, those with conditions that could influence the outcome variables were excluded. ANC attendees who were not resident in Maiduguri, those with hypertension, and/or diabetes mellitus were excluded, as these conditions could affect pregnancy outcomes [36,37,38]. Given power of 80% with 0.05 level of significance, four latent variables and 27 observed variables, the A-priori Sample Size Calculator for Structural Equation Models [39] was used to calculate the minimum sample size required to detect effect – 137, and model structure – 341. Three hundred and eighty respondents were selected from eight ANC booking sessions through a systematic random sampling, from 30 January to 20 March, 2017.

Instrument and data collection

A structured questionnaire (Additional file 1) comprising of five sections: socio-demography, information, motivation, behavioural skills and behaviour, was used to collect data from the respondents. Items for the information construct were adopted from the instruments used in some previous studies [40,41,42], after obtaining permission from the authors. This section had 18 questions, each with three options: Yes, No and I don’t know. A correct response was scored one (1), while an incorrect response was scored zero (0). The sum total for information scores which had a possible range from zero (0) to 18 points was then computed, and used for the analysis. Items for motivation and behavioural skills were adapted from the items of respective sections of a previous study [27]. Three items were used to assess motivation, the first two, asking of the level of goodness for their health and the level of pleasantness of sleeping under an insecticidal net, with Likert responses which ranged from 1 = very bad to 5 = very good; and 1 = very unpleasant to 5 = very pleasant respectively. The third was: ‘Most people who are important to me think I should sleep more frequently under an insecticidal net’, with Likert responses ranging from 1 = very untrue to 6 = very true. For behavioural skills, there were five questions: The first asked of how easy or hard it would be to sleep under an insecticidal net every night’ with Likert responses ranging from 1 = very hard to 4 = very easy. The other four questions asked of how effectively they could hang an insecticidal net, sleep more frequently under it, check for and repair rifts in it, and persuade others to support their sleeping under it. These had Likert responses ranging from 1 = very ineffectively to 4 = very effectively. Behaviour was measured as frequency of insecticidal net use per week, which was categorized as: Never, Seldom (1–2 times a week), Sometimes (3–4 times a week), Often (5–6 times a week) and Almost always. These categories were scored, 1, 2, 3, 4 and 5 respectively.

The questionnaire was first developed in English language and then forwardly translated to Hausa language by a Senior University staff of the linguistics department. A back translation of the Hausa version to English, was done afterwards by a different scholar of similar qualification. The original English version and the back translated English version were then compared by a Public Health Specialists, who was not part of the researchers. A pilot study of the Hausa version was then conducted with a sample of 190 respondents, and the sections for motivation and self-efficacy had Cronbach’s alpha values of 0.87 and 0.77 respectively. Sixty three out of the 190 initial respondents were made to fill the questionnaire again after two weeks to determine its reliability. All items for the information, motivation, and behavioural skills sections had Cohen’s kappa scores above 0.7. Owing to low literacy rates among females in Maiduguri [43], enumerators were used to collect the data via face-to-face interviews, using the questionnaire. All the five enumerators were holders of Diploma certificates in Public Health.

Due to low literacy levels, informed verbal consent was obtained from each respondent after they had been taken through the respondent information sheet. No additional consent was obtained from the husbands or guardians of those below 18 years, as they were considered emancipated minors, since they were married women. The study protocol, as well as methods of obtaining consent, had been approved by the Ethics Committee of the State Specialist Hospital Maiduguri (SSH/GEN/64/Vol.1) and the Ethics Committee for Research Involving Human Subjects of the Universiti Putra Malaysia (UPM/TNCPI/RMC/1.4.18.2) before the study commenced.

Analysis

The data obtained was entered into Microsoft Excel spreadsheet (Additional file 2), followed by data cleaning. Frequency and percentage were used to describe the socio-demographic characteristics, and Chi-squared tests were conducted to determine the association between these factors and frequency of insecticidal net use. The research variables were not normally distributed, and as such, PLS-SEM approach was used to assess the relationship between the constructs in the IMB model. In the model, information and motivation were considered as exogenous variables, behaviour as endogenous, while behavioural skills was considered both endogenous and exogenous. The measurement model was initially evaluated to assess the measurement properties of the observed variables, after which the structural model was evaluated.

Results

The respondents’ ages ranged from 15 to 45 years, with mean (SD) age of 26.5 (5.8) years. As presented in Table 1, those of Kanuri ethnicity were the highest in number (35.8%); most were also permanent residents of Maiduguri (73.4%), with 58.9% having some level of education. Only a few (7.6%) did not earn less than the N18,000 Nigerian minimum wage. Table 2 shows that there was no significant association between any of the socio-demographic factors studied and frequency of insecticidal net use.

Table 1 Respondents’ socio-demographic characteristics (N = 380)
Table 2 Association between socio-demographic factors and frequency of ITN use

The results of the measurement model are presented in Table 3. The outer loadings ranged from 0.532 to 0.843, which were all above the minimum acceptable threshold of 0.5 [44]. In addition, the Cronbach’s alpha values (0.784 and 0.79) and Composite reliability coefficients (0.872 and 0.857) of Motivation and Behavioural skills were considered acceptable. The variance inflation factors (VIFs) also ranged from 1 to 2.115, as shown in Table 4, indicating there was no multi-collinearity, since none was above 5.

Table 3 Reliability and validity of constructs
Table 4 Variance inflation factor

The path model between the constructs is shown in Fig. 2, and the results of the relationship between variables is also presented in Table 5. All the variables correlated significantly with each other, except for behavioural skills, which was not significantly correlated with behaviour (B = 0.031, p = 0.278). The strongest correlation was between motivation and behavioural skills (B = 0.369, p = < 0.001). Results from Table 6 also indicate that the respective indirect paths of information and motivation via behavioural skills were not significant.

Fig. 2
figure 2

Path model of the IMB constructs

Table 5 Path coefficients and hypothesis testing: direct effect
Table 6 Path coefficients and hypothesis testing: indirect effect

Discussion

The structural model, as presented in Fig. 2 and Table 5, shows that having more information on malaria, its complications, the safety and effectiveness of insecticidal nets (r = 0.222; p < 0.001), as well as strong motivation for sleeping under an insecticidal net (r = 0.108; p = 0.033), are likely to be the main determinants of insecticidal net use among this group. This is in line with findings from a previous study on curb side recycling behaviour, where information and motivation showed a similar relationship with behaviour [28]. In previous studies, knowledge of malaria [45] and insecticidal net [46] were important determinants of insecticidal net use. Similarly, belief that insecticidal nets provide protection against malaria, was significantly associated with its use [47, 48]. R2 being less than 10% (0.083), suggests that there could be other important factors responsible for predicting of insecticidal net use behaviour among the study group. Information and motivation constructs however, played a significant role in predicting behavioural skills among the respondents, with behavioural skills R2 being about 30% (0.281). This agrees with the evaluation of the predictive relevance (Q2), where the two exogenous constructs (Information & Motivation) were more relevant in predicting behavioural skills (0.142), than the three constructs (Information, Motivation & Behavioural Skill) in predicting behaviour (0.07). However, in determining the effect size (f2), the information construct had greater effect in determining behaviour (0.044), while motivation had more effect in determining behavioural skill (0.174).

Conversely, in determining the total effect of the driver constructs on the target constructs, the motivation construct had higher total effect (0.119) than both the information and behavioural skills constructs (0.009 and 0.031 respectively) on the behaviour construct. Similarly, the motivation construct had higher total effect (0.369) on the behavioural skills construct than the information construct (0.290). This shows that interventions aimed at promoting LLIN use should lay much emphasis on increasing motivation levels. By also taking the construct’s indicator outer loadings into consideration, we identified the specific element of the motivation construct which needs to be addressed, which was MOT3. This item had the highest outer loading (43.33), and it asked of how true it was, that the people most important to them thought they should sleep more frequently under an insecticidal net. This highlights the important role of significant others, in influencing health behaviour. This finding can be validated, as these respondents (pregnant women) live in a collective/culture distance society, where respect is given to some selected individuals as against individualistic societies. Even a systematic review had identified household decision as an important determinant of ITN use among pregnant women in Africa [48]. As such, health promotion interventions on ITN use should seek to reach out to these important persons too.

The structural model also shows that behavioural skills is neither a mediating factor between information and behaviour, nor between motivation and behaviour. When the items of the behavioural skills component are related to the requirements of using an ITN, it could be clear why behavioural skills did not play a significant role among this sample. Firstly, inability to properly hang or care for an LLIN may not be sufficient to prevent one from sleeping under it, as these procedures could be done by someone else, especially in northern Nigeria where pregnant women are generally considered delicate and usually have some female relative(s) or friend(s) to care for them during their pregnancies. For such women, sleeping under an LLIN would basically be dependent on their access to one, and their choice to sleep under it. This point is further buttressed by the fact that social support from significant others played a very significant role in determining those who slept under an insecticidal net. The role of behavioural skills in influencing health behaviour is likely dependent on the cultural setting in question, as contrasting results were found in a study among pregnant women in Congo, where self-efficacy, a component of behavioural skills, was a significant determinant of insecticidal net use [48].

A major limitation of the IMB model is its failure to account for environmental and cultural factors [31]. As such, important determinants of LLIN use like access to LLIN [40, 49, 50], socio-economic status, parity [51], educational level [52], and monthly income [53] were not included in the IMB model analysis. However, some of these important variables like age group, ethnicity, educational status, occupational status, income level, and residence type, had shown no significant association with LLIN use in this study.

Conclusions

This study reveals the significant roles information on malaria and LLIN, as well as motivation for LLIN use play in influencing LLIN use among pregnant women. It is therefore recommended that the design of health education modules on malaria prevention be guided by the IMB model, while laying much emphasis on information and motivation.

Availability of data and materials

The questionnaire and raw data set for this study are available as additional files.

Abbreviations

ANC:

Antenatal care

IMB:

Information-motivation-behavioural skills

LLIN:

Long-lasting insecticidal net

NHDS:

National Health and Demographic Survey

PLS-SEM:

Partial least squares Structural equation modelling

WHO:

World Health Organization

References

  1. WHO. Global Malaria Programme. World malaria report, 2016. Geneva: World Health Organization; 2017.

    Google Scholar 

  2. Rogerson SJ, Van den Broek NR, Chaluluka E, Qongwane C, Mhango CG, Molyneux ME. Malaria and anemia in antenatal women in Blantyre, Malawi: a twelve-month survey. Am J Trop Med Hyg. 2000;62(3):335–40.

    Article  CAS  Google Scholar 

  3. Mockenhaupt FP, Ulmen U, Von C, Bedu-addo G, Bienzle U, Von GC. Diagnosis of placental malaria diagnosis of placental malaria. J Clin Microbiol. 2002;40(1):8–11.

    Article  Google Scholar 

  4. Adam I, Khamis AH, Elbashir MI. Prevalence and risk factors for Plasmodium falciparum malaria in pregnant women of eastern Sudan. Malar J. 2005;4:4–7.

    Article  Google Scholar 

  5. Ahiboh H, Oga AS, Yapi HF, Kouakou G, Boua GD, Edjeme N, Monnet D. Anémie, métabolisme du fer et protéines de la réaction inflammatoire au cours du paludisme (Abidjan, Côte d’Ivoire). Exotique. 2008;101(1):25–8.

    CAS  Google Scholar 

  6. Douamba Z, Bisseye C, Djigma FW, Compaoré TR, Bazie VJT, Pietra V, et al. Asymptomatic malaria correlates with anaemia in pregnant women at Ouagadougou, Burkina Faso. J Biomed Biotechnol. 2012;2012:198317.

    Article  Google Scholar 

  7. Sirima SB, Sawadogo R, Moran AC, Konate A, Diarra A, Yameogo M, et al. Failure of a chloroquine chemoprophylaxis program to adequately prevent malaria during pregnancy in Koupela District, Burkina Faso. Clin Infect Dis. 2003;36(11):1374–82.

    Article  CAS  Google Scholar 

  8. Adegnika AA, Verweij JJ, Agnandji ST, Chai SK, Breitling LP, Ramharter M, et al. Microscopic and sub-microscopic Plasmodium falciparum infection, but not inflammation caused by infection, is associated with low birth weight. Am J Trop Med Hyg. 2006;75(5):798–803.

    Article  CAS  Google Scholar 

  9. Steketee R, Nahlen B, Parise M, Nenendez C. The burden of malaria in pregnancy in malaia endemic areas. Am J Trop Med Hyg. 2001;64:28–35.

    Article  CAS  Google Scholar 

  10. Luxemburger C, McGready R, Kham A, Morison L, Cho T, Chongsuphajaisiddhi T, White NJ, Nosten F. Effects of malaria during pregnancy on infant mortality in an area of low malaria transmission. Am J Epid. 2001;154(5):459–65.

    Article  CAS  Google Scholar 

  11. Bautler D. Time to put malaria control on the global agenda. Nature. 1997;386:535–40.

    Article  Google Scholar 

  12. McGready R, Lee SJ, Wiladphaingern J, Ashley EA, Rijken MJ, Boel M, et al. Adverse effects of falciparum and vivax malaria and the safety of antimalarial treatment in early pregnancy: a population-based study. Lancet Infect Dis. 2012;12(5):388–96.

    Article  CAS  Google Scholar 

  13. Poespoprodjo JR, Fobia W, Kenangalem E, Lampah DA, Warikar N, Seal A, et al. Adverse pregnancy outcomes in an area where multidrug-resistant Plasmodium vivax and Plasmodium falciparum infections are endemic. Clin Infect Dis. 2008;46(9):1374–81.

    Article  Google Scholar 

  14. de Beaudrap P, Turyakira E, White LJ, Nabasumba C, Tumwebaze B, Muehlenbachs A, et al. Impact of malaria during pregnancy on pregnancy outcomes in a Ugandan prospective cohort with intensitve malaria screening and prompt treatment. Malar J. 2013;12(1):139–23617626.

    Article  Google Scholar 

  15. Samak AC. Malaria in pregnancy: an overview. McGill J Med. 2004;8:66–71.

    Google Scholar 

  16. Raimi OG, Elemo BO, Raheem L. Malaria in pregnancy: serum enzyme level in pregnant malarial patients in Lagos Nigeria. Am J Clin Nutr. 2004;3(3):60–3.

    Google Scholar 

  17. Lindsay S, Ansell J, Selman C, Cox V, Hamilton K, Walraven G. Effect of pregnancy on exposure to malaria mosquitoes. Lancet. 2000;355(9219):1972–5.

    Article  CAS  Google Scholar 

  18. Bako BG, Audu BM, Geidam AD, Malah MB, Ngadda HA, Musa AB, Sadauki HM. Prevalence, associated factors and effects of malaria parasitaemia in pregnancy in a tertiary hospital in north-eastern Nigeria. Sahel Med J. 2009;12(2):46–51.

  19. Ahmadu BU, Rejoice C, Musa HB, Baba FJ, Chafi AN, Yusuf A, et al. Prevalence of placental malaria and effects on birth weight of neonates of mothers who had antenatal care in Maiduguri metropolitan city, Nigeria. Br J Med Med Res. 2014;4(19):2697–3689.

    Article  Google Scholar 

  20. Menéndez C, Bardají A, Sigauque B, Romagosa C, Sanz S, Serra-Casas E, et al. A randomized placebo-controlled trial of intermittent preventive treatment in pregnant women in the context of insecticide treated nets delivered through the antenatal clinic. PLoS One. 2008;3(4):1–9.

    Article  Google Scholar 

  21. Gamble C, Ekwaru PJ, Garner P, ter Kuile FO. Insecticide-treated nets for the prevention of malaria in pregnancy: a systematic review of randomised controlled trials. PLoS Med. 2007;4(3):e107.

    Article  Google Scholar 

  22. World Health Organization. A strategic framework for malaria prevention and control during pregnancy in the African region; 2004. p. 23.

    Google Scholar 

  23. NPC. Nigeria demographic and health survey 2013. Abuja: National Population Commission; 2014.

    Google Scholar 

  24. National Malaria Elimination Programme (NMEP), National Population Commission (NPopC), National Bureau of Statistics (NBS), and ICF International. Nigeria malaria Indicator survey 2015. Abuja, Rockville: NMEP, NPopC, and ICF International; 2016.

    Google Scholar 

  25. Bako BG, Audu BM, Geidam AD, Kullima AA, Ashiru GM, Malah MB, et al. Prevalence, risk factors and effects of placental malaria in the UMTH, Maiduguri, north-eastern, Nigeria: a cross-sectional study. J Obstet Gynaecol (Lahore). 2009;29(4):307–10.

    Article  CAS  Google Scholar 

  26. Fisher J, Fisher W. Changing AIDS risk behavior. Psychol Bull. 1992;111(3):455–74.

    Article  CAS  Google Scholar 

  27. Osborn CY, Amico KR, Fisher WA, Egede LE, Fisher JD. An information-motivation-behavioral skills analysis of diet and exercise behavior in Puerto Ricans with diabetes. J Health Psychol. 2010;15(18):1201–13.

    Article  Google Scholar 

  28. Seacat JD, Northrup D. An information-motivation-behavioral skills assessment of curbside recycling behavior. J Environ Psychol. 2010;30(4):393–401.

    Article  Google Scholar 

  29. Cornman DH, Schmiege SJ, Bryan A, Joseph Benziger T, Fisher JD. An information-motivation-behavioral skills (IMB) model-based HIV prevention intervention for truck drivers in India. Soc Sci Med. 2007;64(8):1572–84.

    Article  Google Scholar 

  30. De La Cruz N, Crookston B, Dearden K, Gray B, Ivins N, Alder S, et al. Who sleeps under bednets in Ghana? A doer/non-doer analysis of malaria prevention behaviours. Malar J. 2006;5:1–10.

    Article  Google Scholar 

  31. Manoj S. Information-motivation-behavior skills (IMB) model: need for utilization in alcohol and drug education. J Alcohol Drug Educ. 2012;5:1.

    Google Scholar 

  32. Waziri M. The geography of Borno state: an overview. Issues Geogr Borno State. 2009;1:6–12.

    Google Scholar 

  33. NPC. Nigeria demographic and health survey 2008. Abuja: National Population Commission; 2009.

    Google Scholar 

  34. .International Organization for Migration (IOM). Displacement round XIX report - October 2017 Nigeria. 2017.

    Google Scholar 

  35. Isa MA, Mustapha A, Bello HS, Gulani IA, Aisha MA, Hyelabari I. Prevalence of malaria parasite infection among pregnant women attending antenatal clinic in state specialist hospital. J Appl Sci Res. 2015;2:13–9.

    Google Scholar 

  36. Persaud OODD. Maternal diabetes and the consequences for her offspring. J Dev Disabil. 2007;13:101–33.

    Google Scholar 

  37. Xiong X, Demianczuk NN, Saunders LD, Wang F, Fraser WD. Impact of preeclampsia and gestational hypertension on birth weight by gestational age. Am J Epid. 2002;155(3):203–9.

    Article  Google Scholar 

  38. Obaid KA, Kadoori MN, Baker GM. Effect of maternal hypertension on neonatal outcome in Diyala Province, Iraq. Diyala J Med. 2013;5(2):69–74.

    Google Scholar 

  39. Westland JC. Erratum to “lower bounds on sample size in structural equation modeling” [Electron. Commerce res. Appl. 9 (6) (2010) 476–487]. Electron Commer Res Appl. 2012;11(4):445.

    Article  Google Scholar 

  40. Akaba GO, Otubu JAM, Agida ET, Onafowokan O. Knowledge and utilization of malaria preventive measures among pregnant women at a tertiary hospital in Nigeria’s federal capital territory. Niger J Clin Pract. 2013;16(2):201–6.

    Article  CAS  Google Scholar 

  41. Kallamu H, Abdul Rahman H, Hayati KS, Ismaila UG. Association between knowledge, attitude and preventive practices on malaria among pregnant women with and without malaria attending ante-Natal Care in Zamfara State, Nigeria. Int J Public Heal Clin Sci. 2015;2(5):68–78.

    Google Scholar 

  42. Adebayo AM, Akinyemi OO, Cadmus EO. Knowledge of malaria prevention among pregnant women and female caregivers of under-five children in rural Southwest Nigeria. PeerJ. 2015;3:e792.

    Article  Google Scholar 

  43. NBS. The national literacy survey. Abuja: National Bureau of Statistics; 2010.

    Google Scholar 

  44. Hair Jr JF, Hult GT, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage publications; 2016.

  45. Nganda RY, Drakeley C, Reyburn H, Marchant T. Knowledge of malaria influences the use of insecticide treated nets but not intermittent presumptive treatment by pregnant women in Tanzania. Malar J. 2004;3:42.

    Article  Google Scholar 

  46. Obol JH, Ononge S, Orach CG. Utilisation of insecticide treated nets among pregnant women in Gulu: a post conflict district in northern Uganda. Afr Health Sci. 2013;13:962–9.

    Article  CAS  Google Scholar 

  47. Ezire O, Adebayo SB, Idogho O, Bamgboye EA, Nwokolo E. Determinants of use of insecticide-treated nets among pregnant women in Nigeria. Int J Women’s Health. 2015;7:655–61.

    Article  Google Scholar 

  48. Inungu JN, Ankiba N, Minelli M, Mumford V, Bolekela D, Mukoso B, et al. Use of insecticide-treated mosquito net among pregnant women and guardians of children under five in the Democratic Republic of the Congo. Malar Res Treat. 2017;2017:1–10.

    Article  Google Scholar 

  49. Pell C, Straus L, Andrew EVW, Meñaca A, Pool R. Social and cultural factors affecting uptake of interventions for malaria in pregnancy in Africa: a systematic review of the qualitative research. PLoS One. 2011;6:e22452.

    Article  CAS  Google Scholar 

  50. Ricotta E, Koenker H, Kilian A, Lynch M. Are pregnant women prioritized for bed nets? An assessment using survey data from 10 African countries. Glob Heal Sci Pract. 2014;2(2):165–72.

    Article  Google Scholar 

  51. Hill J, Hoyt J, van Eijk AM, D’Mello-Guyett L, ter Kuile FO, Steketee R, et al. Factors affecting the delivery, access, and use of interventions to prevent malaria in pregnancy in sub-Saharan Africa: a systematic review and meta-analysis. PLoS Med. 2013;10(7):e1001488.

    Article  Google Scholar 

  52. Belay M, Deressa W. Use of insecticide treated nets by pregnant women and associated factors in a pre-dominantly rural population in northern Ethiopia. Trop Med Int Heal. 2008;13(10):1303–13.

    Article  Google Scholar 

  53. Manirakiza A, Serdouma E, Djalle D, Soula G, Laganier R, Madji N, et al. Relatively low prevalence of peripheral and placental plasmodium infection at delivery in Bangui, Central African Republic. J Trop Med. 2011;2011:434816.

    Article  Google Scholar 

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Acknowledgements

The authors wish to appreciate their enumerators, and the respondents who participated in the study.

Funding

No funding from any agency was received for this study.

Author information

Authors and Affiliations

Authors

Contributions

ADB and SMS conceived the study. ADB, SMS, NMZ, and BN participated in the study design and manuscript review. SMS, ADB and ELB did the data analysis and manuscript writing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ahmed Dahiru Balami.

Ethics declarations

Ethics approval and consent to participate

Due to low literacy levels, informed verbal consent was obtained from each respondent after they had been taken through the respondent information sheet. No additional consent was obtained from the husbands or guardians of those below 18 years, as they were considered emancipated minors, since they were married women. The study protocol, as well as methods of obtaining consent, had been approved by the Ethics Committee of the State Specialist Hospital Maiduguri (SSH/GEN/64/Vol.1) and the Ethics Committee for Research Involving Human Subjects of the Universiti Putra Malaysia (UPM/TNCPI/RMC/1.4.18.2) before the study commenced.

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Not Applicable

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The authors declare that they have no competing interests.

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Additional files

Additional file 1:

Study Questionnaire. The Hausa version questionnaire used to collect data for this study and the English language translation. (DOCX 143 kb)

Additional file 2:

Study Dataset. Spreadsheet of the raw data collected and analyzed in this study. To maintain respondents’ anonymity, only two indirect identifiers were retained (age and residence type). (XLSX 46 kb)

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Balami, A.D., Said, S.M., Zulkefli, N.A.M. et al. An information-motivation-behavioural skills analysis of long-lasting insecticidal net use among pregnant women in a hospital in North-Eastern Nigeria. BMC Med Res Methodol 19, 157 (2019). https://doi.org/10.1186/s12874-019-0803-z

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  • DOI: https://doi.org/10.1186/s12874-019-0803-z

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