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Clinicians’ knowledge and practices regarding family planning and intrauterine devices in China, Kazakhstan, Laos and Mexico

Abstract

Background

It is widely agreed that the practices of clinicians should be based on the best available research evidence, but too often this evidence is not reliably disseminated to people who can make use of it. This “know-do” gap leads to ineffective resource use and suboptimal provision of services, which is especially problematic in low- and middle-income countries (LMICs) which face greater resource limitations. Family planning, including intrauterine device (IUD) use, represents an important area to evaluate clinicians’ knowledge and practices in order to make improvements.

Methods

A questionnaire was developed, tested and administered to 438 individuals in China (n = 115), Kazakhstan (n = 110), Laos (n = 105), and Mexico (n = 108). The participants responded to ten questions assessing knowledge and practices relating to contraception and IUDs, and a series of questions used to determine their individual characteristics and working context. Ordinal logistic regressions were conducted with knowledge and practices as dependent variables.

Results

Overall, a 96 % response rate was achieved (n = 438/458). Only 2.8 % of respondents were able to correctly answer all five knowledge-testing questions, and only 0.9 % self-reported “often” undertaking all four recommended clinical practices and “never” performing the one practice that was contrary to recommendation. Statistically significant factors associated with knowledge scores included: 1) having a masters or doctorate degree; and 2) often reading scientific journals from high-income countries. Significant factors associated with recommended practices included: 1) training in critically appraising systematic reviews; 2) training in the care of patients with IUDs; 3) believing that research performed in their own country is above average or excellent in quality; 4) being based in a facility operated by an NGO; and 5) having the view that higher quality available research is important to improving their work.

Conclusions

This analysis supports previous work emphasizing the need for improved knowledge and practices among clinicians concerning the use of IUDs for family planning. It also identifies areas in which targeted interventions may prove effective. Assessing opportunities for increasing education and training programs for clinicians in research and IUD provision could prove to be particularly effective.

Peer Review reports

Background

The healthcare community, including its numerous researchers, clinicians, and policymakers, have become increasingly aware of the worrisome gap between what we know from research evidence and what is brought into action [1, 2]. A growing body of work supports the notion that clinicians are not regularly receiving research results, leading to a troubling information gap which can result in inadequate and inequitable care, suboptimal resource allocation, and an overall decreased quality of healthcare services. Further, this problem is exacerbated in low- and middle-income countries (LMICs) where resources are scarcer. This problematic trend is especially apparent in global health issues for which treatments exist but lack universally consistent action [3].

Maternal and reproductive health has been highlighted in both the Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs) because of its significant impact on quality of life in LMICs. A principal objective proposed by the World Health Organization (WHO) is to lower unmet contraception needs globally, not only in terms of improving access, but also with regard to increasing options available to women. Inequitable access and ineffective use of contraception persist as barriers to improving women’s health globally. Progress in this field would serve to reduce maternal, newborn and child mortality, while also empowering vulnerable populations through improvements in education and gender equality [4, 5]. Intrauterine devices (IUDs), which are long-acting reversible contraception products, have been proven to be safe over extended periods of use and shown to be nearly as effective as male or female sterilization [6]. With the demonstrated efficacy and cost-effectiveness of IUDs for family planning, there is a clear need to address any knowledge gaps and their underuse globally [7].

Additionally, the gap in accessible and affordable contraceptive options supports the need for further investigation in the realm of family planning and reproductive health services. The current state of contraceptive options poses a significant threat to global development [8]. Despite most maternal deaths being preventable, nearly 300,000 women die each year from causes related to pregnancy and childbirth [9]. The overwhelming number of unintended pregnancies worldwide contributes to this loss. For example, women in lower socioeconomic settings who do not have access to safe delivery services face high maternal mortality risks [10]. This palpable inequity requires an immediate response. Facilitating improvements in this area will require a deeper understanding of the knowledge and practices of family planning and reproductive clinicians to develop better-targeted strategies.

This exploratory study aims to investigate the gap between research evidence on IUDs and the knowledge and practices of clinicians in LMICs about this important family planning intervention. As clinicians have a significant influence on their patients’ health, wellbeing, and behaviour [11–15], appropriate clinical knowledge and clinician-patient interactions are necessary for achieving targeted health outcomes. Several studies have assessed the impact of clinician education on IUD use and other existing factors affecting IUD provision among clinicians [16–18]. Studies assessing clinicians’ knowledge and practices have illustrated that they may have limited or erroneous understandings of optimal IUD clinical use [19–27]. As such, this new study seeks to explore determinants of clinicians’ knowledge and practices surrounding IUD provision across sectors and in multiple countries. This research aims to highlight areas in family planning and reproductive healthcare that require attention and can be targeted through focused regional and global interventions.

Methods

This study was one component of a larger WHO-sponsored research project that investigated the relationship between research, practice and policy. Other studies within this project have explored how clinicians use research evidence [28, 29], investigated the extent to which researchers support its use [30, 31], and evaluated clinicians’ knowledge and practices on malaria prevention [32] and tuberculosis treatment [33]. This study represents the first presentation of the collected data on clinicians’ knowledge and practices related to family planning and IUD provision.

Questionnaire design

The questionnaire administered in this study was developed based on nine existing questionnaires [34–42]. Development and testing of the questionnaire showed it to have high internal consistency and good face and content validity. Details on its development, pilot-testing, assessment for validity and reliability, and translation have been documented elsewhere [28]. The survey tool incorporated questions addressing participants’ individual characteristics, working context, training, networking activities, and access to, trust in and use of research evidence. Additionally, five true/false questions were used to test respondents’ knowledge of IUDs for family planning and five other questions assessed relevant clinical practices [43]. The questionnaire was translated into Mandarin, Russian, Lao and Spanish by WHO’s translation service and local country teams [30].

Data collection

Country teams administered the questionnaire in China, Kazakhstan, Laos and Mexico between October 2004 and December 2005. The teams were each led by one co-author (GS in China, BST in Kazakhstan, BB in Laos, and FBP in Mexico) and supported by the Research to Policy & Practice Study Team (all members listed in Acknowledgements section). The four selected LMICs differ in population size, per capita income, health expenditures, life expectancy, contraceptive prevalence, and Internet access (Table 1) [44–49]. Each team aimed to gather complete responses from a representative sample of at least 100 clinicians in each country (the vast majority of participants were physicians). The questionnaire was administered using a drop-off and pick-up approach (except in Mexico, where a mix of drop-off and pick-up and in-person administration was utilized). Various approaches to increase response rate were employed, including personalized letters and providing a free set of WHO publications as an incentive. More detailed information about the data collection process is described elsewhere [28, 29].

Table 1 Country profiles in 2005

Systematic reviews are credited as the ideal method of synthesizing global research evidence and offering summary information to aid decision-makers. Furthermore, they are extensively available and internationally authoritative on clinical interventions like IUDs [50–52]. As a result, systematic reviews have been extensively used in this analysis, with the Cochrane Library representing the most comprehensive identified source. Efforts to distinguish between summaries and full reports, as well as between scientific journals from a high-income country and a participant’s own country, were guided by past studies [29, 36, 53].

In China, the team used a stratified random sampling process (with a sampling frame constructed from an existing list of family planning centres) to sample 120 clinicians who provided care to women seeking contraception. Stratification was by geographic location (Sichuan province in the southwest, and Liaoning province in the northeast) and by type of facility (Maternal and Child Health clinics, Departments of Obstetrics and Gynecology in hospitals, and Family Planning service institutions).

In Kazakhstan, a sampling frame was constructed from an existing database from the Department of Health of Almaty. The total population of gynaecologists (n = 110) that were working at the primary care level in family planning and contraceptive care in Almaty was sampled.

In Laos, a sampling frame was constructed from existing lists of clinicians retrieved from the Ministry of Health’s Department of Human Resources for Health and four provincial health departments, and was stratified by facility type (central, provincial and district hospital). 106 clinicians providing contraceptive care in the capital city of Vientiane and the provinces of Vientiane, Borikhamsay and Savannakheth were sampled.

In Mexico, the team used a sampling frame constructed from five sources (physicians working for the Mexican Foundation for Family Planning, physicians working for the Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, physicians working for the Secretaria de Salud [Ministry of Health] in five facilities of Mexico City, physicians involved in family planning attending a training course at the Desarrollo Integral de la Familia and at the Instituto Mexicano del Seguro Social, and private physicians involved in family planning attending a training course). The sampling process was used to sample 122 clinicians in Mexico City and the states of MĂ©xico, Nuevo LeĂłn and Jalisco.

Data analysis

Using relevant items from the data collected, basic descriptive statistics were calculated and simple ordinal logistic regressions were conducted. The regression models were used to analyze the factors associated with clinicians’ knowledge and practices on IUD use and family planning. Composite knowledge and practice scores were constructed for each respondent and used as the dependent variables in the regression analyses. Knowledge scores were based on the proportion of the five true/false knowledge-testing questions that were correctly answered. Each question was assigned equal weight and no penalty was given for an incorrect answer. Similarly, practice scores were based on the frequency in which a clinician reported performing the five practices on a five-point scale (i.e., 1 “never”, 2 “rarely”, 3 “sometimes”, 4 “often”, and 5 “very often”). The scale was inverted for one described practice that is contrary to recommended practice. Each question held equal weight to ensure practice scores were integers that ranged from five to 25.

Knowledge and practice scores were converted to tertiles for inclusion as ordinal variables. For both knowledge and practice models, independent variables included clinicians’: 1) utilization of specific sources of research evidence; 2) views and behaviours related to the improvement of clinical practice; and 3) individual and practice characteristics. In order to substitute for missing values, multiple imputation using multivariate normal regressions was employed (with 100 imputations). Observations with missing dependent variables were omitted from the analysis. Stata/MP 11.2 for Mac was used to perform all statistical analyses [54].

Results

Four hundred thirty eight of the 458 clinicians approached for the study provided complete responses, resulting in a 96 % overall response rate. Country-specific rates were 96 % in China (n = 115/120), 100 % in Kazakhstan (n = 110/110), 99 % in Laos (n = 105/106) and 89 % in Mexico (n = 108/122).

The majority of participating clinicians were female (80.6 %) and trained and practicing as physicians (89.6 %), especially general practitioners (63.6 %). Additionally, most participants worked in urban areas (68 %), government-operated facilities (95.4 %), and hospitals (50 %) or community health centres (44.2 %). Only a few respondents could read and write English (25.5 %) and had easy access to either a personal computer with a CD-ROM drive (23.4 %) or the Internet (16.1 %). Only a small fraction of the participants had earned masters or doctorate degrees (4.3 %). Almost one-third worked with researchers or research groups (29.6 %).

Participants were, on average, 41.8 years old and spent the largest portion of their time on clinical practice (75.7 %) versus research (5.1 %), teaching (7.1 %) and administrative duties (9.1 %). Very few respondents were trained on acquiring, assessing or adapting research evidence after their last degree, although a substantial number received training specifically related to contraceptive care (62.9 %). Additionally, only a few respondents self-reported using or reading the electronic Cochrane Library over the past 12 months (4.5 %). Nonetheless, more participants self-reported reading electronic or paper versions of clinical practice guidelines, protocols or decision-support tools (68.8 %), scientific journals from either their own country (79.7 %) or high-income countries (25.9 %), and summaries of articles, reports and reviews from public or non-profit organizations (46.6 %). More than half of the respondents reported that research performed in their own country was of above average or excellent quality (57.3 %), and the vast majority believed that a higher quality of available research is important or very important to improve their work (92.1 %) (Table 2).

Table 2 Descriptive statistics on participating clinicians’ individual characteristics, working context, and views about and use of research evidence

Very few participating clinicians correctly responded to all five knowledge-testing questions about contraception and IUD use (2.8 %), with country-specific rates of 0.9 % in China, 6.4 % in Kazakhstan, 3.8 % in Laos and 5.8 % in Mexico. The overall correct response rate for individual questions ranged from 29.5 % on the sufficiency of one follow-up visit after the first menses or 3–6 weeks following copper-bearing IUD insertion (Question D), to 74.5 % on the question of whether spotting or light bleeding between menstrual periods during the first 3–6 months of copper-bearing IUD use is common or harmful (Question B). The range of overall correct responses to individual questions varied the greatest within China (9–98 %) and the least within Kazakhstan (57–87 %). Only 34.4 % of the respondents knew that a woman can have a copper-bearing IUD inserted any time within the first 12 days after the start of menstrual bleeding, at her convenience, and not just during menstruation (Question A). Meanwhile, a relatively larger proportion knew that copper-bearing IUDs should not always be removed if the user is diagnosed with pelvic inflammatory disease (70.7 %) (Question C), and that the most commonly used IUD, the CuT380a, was approved for 10 years of use after insertion (68.5 %) (Question E) [42] (Table 3).

Table 3 Questions assessing participating clinicians’ knowledge about contraception and IUDs

Most participating clinicians reported that they “often” or “very often” undertook practices that were recommended and which matched the best available research evidence, including: performing a pelvic/genital examination before providing IUDs (80.4 %); recommending a follow-up visit after the first menses or 3–6 weeks following insertion when providing IUDs (83.2 %); recommending a follow-up visit when providing combined oral contraceptives (76.2 %); and screening for high blood pressure before providing combined oral contraceptives (67.0 %). However, a majority (66.6 %) of the respondents also reported that they “often” or “very often” performed a pelvic/genital examination before providing combined oral contraceptives, which is contrary to recommended practice (Table 4).

Table 4 Questions assessing participating clinicians’ practices relating to contraception and IUDs

The first ordinal logistic model identified two statistically significant factors associated with knowledge scores among clinicians related to family planning and IUD provision: 1) having a masters or doctorate degree (odds ratio [OR] 1.37, 95 % confidence interval [CI] 1.04–1.80); and 2) often reading scientific journals from high-income countries (OR 0.48, 95 % CI 0.30–0.77). The second ordinal logistic model identified five factors found to be associated with better self-reported practices related to family planning and IUD provision: 1) training in critically appraising systematic reviews (OR 1.69, 95 % CI 1.05–2.74); 2) training in the care of women seeking contraception (OR 1.72, 95 % CI 1.06–2.80); 3) having the perspective that research performed in their country is of above average or excellent quality (OR 1.72, 95 % CI 1.22–2.42); 4) being based in a facility or practice with an NGO as the operating authority (OR 1.65, 95 % CI 1.01–2.70); and 5) having the view that a higher quality of available research is important or very important to improving their work (OR 2.51, 95 % CI 1.05–6.01) (Table 5).

Table 5 Ordinal logistic models for factors associated with the log odds of demonstrating higher knowledge and better practices

Discussion

Principal findings

The findings from this study suggest that significant gaps exist in clinicians’ knowledge and practices relating to family planning and IUD provision. From the population surveyed, only 12 of 434 (2.8 %) clinicians were able to correctly answer all five knowledge-testing questions. Similarly, only four of 436 (0.9 %) clinicians reported to “often” or “very often” perform the four recommended practices and never perform the one practice that was not recommended. These findings of less-than-optimal clinical knowledge and practices match those found in previous studies [19–27]. These gaps in IUD provision and family planning, however, may be a symptom of broader gaps in clinicians’ knowledge and practices for various health issues across low-, middle-, and high-income countries [55–71].

Through analyzing these knowledge and practice gaps, this study highlighted numerous factors associated with clinicians’ knowledge and/or practices related to family planning and IUD provision. Previous research findings have indicated that clinical training in IUD insertion can result in higher numbers of IUD insertion procedures [17] and fewer misconceptions about IUDs [21]. Accordingly, IUD training for clinicians will likely help to facilitate overall better practices in contraceptive and IUD provision in LMICs. Since gaps in knowledge and practices have varying degrees of consequences – with each gap resulting in more or less serious health and health system consequences – interventions targeting these gaps should be prioritized in whatever way is likely to produce the greatest health and social impact. Documented examples of knowledge and practice gaps and their health systems implications include the significant loss of life resulting from sub-optimal use of oral rehydration therapy for diarrhea and insecticide-treated bed nets for malaria prevention [3].

The ordinal logistic models presented in this study indicate that the knowledge and practices of clinicians may be disproportionately affected by certain factors more than others. Though it is possible that knowledge and practices are affected by different factors, the two regression analyses may also have been affected by social desirability biases. These biases would have likely affected the self-reporting of practices more so than in the answers to questions testing clinicians’ knowledge. Other explanations for the differing results could be the presence of confounders skewing the analysis, the models might have lacked necessary statistical power, and/or the insufficiency of the composite scores in representing clinicians’ actual “knowledge” and “practices”.

Strengths and limitations of the study

There are five notable strengths of this study. The first is the diverse collection of data from four distinct LMICs which differ in characteristics such as life expectancy and contraception coverage rates. Second, the data collection from all four countries yielded very high response rates. Third, the data collected and examined is about the use of IUDs, a family planning method for contraception recommended by WHO and noted as essential for achieving global health goals [4, 5]. Fourth, the questionnaire was adapted from existing tools and assessed for reliability and validity [28]. Fifth, the knowledge and practice scores used in the analysis were calculated from a range of testing questions for which respondents were not given the correct answer. This metric is more objective than relying on the participating clinicians to self-evaluate whether they had “high” or “low” knowledge and/or practices – a method used in previous studies in this field.

Despite these strengths, the study also has four notable limitations. The first relates to the professional translation of study instruments into Mandarin, Russian, Lao and Spanish. It is possible that linguistic and cultural differences in the four countries could have affected participants’ understandings of particular translated survey questions. Second, the knowledge and practice scores were calculated from responses to only ten questions. Third, the questionnaire requested self-reported data to assess providers’ practices – a metric which is subject to social desirability bias. Self-reporting of practices may overestimate actual behaviour, and correspondingly result in an over-reporting of recommended practices [72]. Finally, the study faced resource constraints, causing a long delay in data analysis and manuscript writing and limiting the survey’s representative samples of the types of clinicians in each LMIC. For instance, the sample surveyed in Kazakhstan consisted of gynaecologists working in family planning, whereas respondents in Laos consisted of any clinician providing contraceptive care. As a result, the data obtained cannot be compared across the four countries. These variations also likely affected intra-country responses and, consequently, the data and results presented are not generalizable within country. The use of uniform study tools among uniform types of clinicians across each country would likely yield different results than those observed. To strengthen generalizability, studies resembling the current analysis should be conducted using representative samples of the same types of clinicians across countries.

Policy implications

Clinicians serve as primary disseminators of health information and consequently hold considerable influence over patients’ health-related behaviours [1, 11–15]. In fact, recent literature surveying women’s attitudes toward contraception has revealed that physicians may be the source of greatest influence in the decision of which type of contraception is used [73]. With an acknowledgement of the significant impact that clinicians have on individuals and public health overall, efforts to improve clinicians’ knowledge and practices facilitate an opportunity to enhance family planning and maternal health globally. With the present study’s identification of gaps in clinicians’ knowledge and practices in this field, corresponding interventions to target such gaps are needed to help reduce the number of maternal deaths and contribute to the improvement of women’s reproductive health worldwide. With the implementation of programs focused on clinicians, it is possible that comparatively small investments could produce significant returns among larger populations. These programs should be informed by the large corpus of research on clinician training and behavioural change, including: educational meetings [74]; reminders [75]; audit and feedback [76]; outreach visits [77]; distribution of educational materials [78]; local opinion leaders [79]; and the freely available Health Systems Evidence database which contains these types of reviews [80]. Although, of course, even with the best training, clinicians would face many system-level barriers to optimal family planning services and IUD provision – including lack of availability, poor quality and high costs – which means that interventions targeting clinicians must be complemented by other interventions to strengthen the health systems in which they work. That is, policies and programs towards pressing health concerns, such as family planning and IUD provision, should be informed by evidence which considers the multifactorial interactions, as well as limitations, of the broader health system in which they are to be implemented [81].

Future research

Future studies seeking to contribute to an understanding of clinicians’ knowledge and practices on family planning and IUD provision should seek to include representative samples of similar types of clinicians to enhance the generalizability of their findings across countries studied. In particular, funding to conduct research across larger, nationally representative samples of clinicians would allow for illustrative cross-sectional analyses. While this investigation has highlighted various factors that are associated with better knowledge and practices among clinicians, there remains the need for more evaluation and implementation of effective interventions to close existing know-do gaps.

Conclusions

There persists a clear need for enhanced efforts and strategies targeted toward improving current knowledge and practices of clinicians regarding the use of contraceptives and IUDs. Key stakeholders and authorities, including policymakers, civil society leaders, donors and international organizations who are focused on improving the provision of family planning services, should evaluate existing strategies and consider novel interventions to improve the knowledge and practices of clinicians in this field. Multidimensional strategies across training institutes, clinics, policy forums, and stakeholder meetings are needed to cease the use of ineffective practices and instead facilitate the use of evidence-based practices. Targeted interventions should seek to improve the quality and accessibility of education and training programs for family planning clinicians, as well as assess and respond to domestic views on the usefulness of available research evidence. While this exploratory study highlights the gaps between knowledge and practice about family planning and IUDs among clinicians in four countries, further research is necessary to expand this investigation and continue the discussion on appropriate directions for family planning policy development and program implementation.

References

  1. Haines A, Kuruvilla S, Borchert M. Bridging the implementation gap between knowledge and action for health. Bull World Health Organ. 2004;82:724–31.

    PubMed  PubMed Central  Google Scholar 

  2. World Health Organization. World report on knowledge for better health: Strengthening health systems. World Health Organization. 2004. http://www.who.int/rpc/meetings/en/world_report_on_knowledge_for_better_health2.pdf. Accessed 10 Jun 2015.

  3. Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS. Bellagio Child Survival Study Group. How many child deaths can we prevent this year? Lancet. 2003;362:65–71.

    Article  PubMed  Google Scholar 

  4. World Health Organization. Family Planning for Health and Development: Actions for Change. Implementing Best Practices Initiative. 2010. http://www.unfpa.org/sites/default/files/pub-pdf/KampalaReportIBP.pdf. Accessed 5 Jun 2015.

  5. United Nations. The Millennium Development Goals Report 2012. Department of Economic and Social Affairs. 2012. http://www.un.org/millenniumgoals/pdf/MDG%20Report%202012.pdf. Accessed 10 Jun 2015.

  6. World Health Organization. The TCu380A intrauterine contraceptive device (IUD): Specification, prequalification and guidelines for procurement, World Health Organization, UNFPA, UNAIDS, FHI. 2011. http://apps.who.int/iris/bitstream/10665/44506/1/9789241500999_eng.pdf. Accessed 5 Jun 2015.

  7. Forthofer KV. A clinical review of the intrauterine device as an effective method of contraception. J Obstet Gynecol Neonatal Nurs. 2009;38(6):693–8.

    Article  PubMed  Google Scholar 

  8. Singh S, Darroch JE, Ashford LS. Adding it up: The costs and benefits of investing in sexual and reproductive health 2014. Guttmacher Institute. 2014. https://www.guttmacher.org/pubs/AddingItUp2014.pdf. Accessed 4 Jun 2015

  9. United Nations. The millennium development goals report 2014. United Nations. 2014. http://www.un.org/millenniumgoals/2014%20MDG%20report/MDG%202014%20English%20web.pdf. Accessed 5 Jun 2015.

  10. Cates Jr W. Family planning: the essential link to achieving all eight Millenium Development Goals. Contraception. 2010;81:460–1.

    Article  PubMed  Google Scholar 

  11. Stead LF, Bergson G, Lancaster T. Physician advice for smoking cessation. Cochrane Database Syst Rev. 2008;2, CD000165.

    Google Scholar 

  12. Rice VH, Stead LF. Nursing interventions for smoking cessation. Cochrane Database Syst Rev. 2008;1, CD001188.

    Google Scholar 

  13. Sinclair HK, Bond CM, Stead LF. Community pharmacy personnel interventions for smoking cessation. Cochrane Database Syst Rev. 2004;1, CD003698.

    Google Scholar 

  14. Brunner EJ, Rees K, Ward K, Burke M, Thorogood M. Dietary advice for reducing cardiovascular risk. Cochrane Database Syst Rev. 2007;4, CD002128.

    Google Scholar 

  15. Hooper L, Bartlett C, Davey SG, Ebrahim S. Advice to reduce dietary salt for prevention of cardiovascular disease. Cochrane Database Syst Rev. 2004;1, CD003656.

    Google Scholar 

  16. Hubacher D, Vilchez R, Gmach R, Jarquin C, Medrano J, Gadea A, Grey T, Pierre-Louis B. The impact of clinician education on IUD uptake, knowledge and attitudes: results of a randomized trial. Contraception. 2006;73:628–33.

    Article  PubMed  Google Scholar 

  17. Agha S, Fareed A, Keating J. Clinical training alone is not sufficient for reducing barriers to IUD provision among private providers in Pakistan. Reprod Health. 2011;8:40.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Black KI, Sakhaei T, Garland SM. A study investigating obstetricians' and gynaecologists' management of women requesting an intrauterine device. Aust N Z J Obstet Gynaecol. 2010;50:184–8.

    Article  PubMed  Google Scholar 

  19. Harper CC, Blum M, de Bocanegra HT, Darney PD, Speidel JJ, Policar M, Drey EA. Challenges in translating evidence to practice: the provision of intrauterine contraception. Obstet Gynecol. 2008;111:1359–69.

    Article  PubMed  Google Scholar 

  20. Morgan KW. The intrauterine device: rethinking old paradigms. J Midwifery Womens Health. 2006;51:464–70.

    Article  PubMed  Google Scholar 

  21. Tyler CP, Whiteman MK, Zapata LB, Curtis KM, Hillis SD, Marchbanks PA. Health care provider attitudes and practices related to intrauterine devices for nulliparous women. Obstet Gynecol. 2012;119:762–71.

    Article  PubMed  Google Scholar 

  22. Hohmann HL, Cremer ML, Gonzalez E, Maza M. Knowledge and attitudes about intrauterine devices among women’s health care providers in El Salvador. Rev Panam Salud Publica. 2011;29:198–202.

    PubMed  Google Scholar 

  23. van Zijl S, Morroni C, van der Spuy ZM. A survey to assess knowledge and acceptability of the intrauterine device in the Family Planning Services in Cape Town, South Africa. J Fam Plann Reprod Health Care. 2010;36:73–8.

    Article  PubMed  Google Scholar 

  24. Sychareun V. Meeting the contraceptive needs of unmarried young people: attitudes of formal and informal sector providers in Vientiane Municipality, Lao PDR. Reprod Health Matters. 2004;12:155–65.

    Article  PubMed  Google Scholar 

  25. Gutin SA, Mlobeli R, Moss M, Buga G, Morroni C. Survey of knowledge, attitudes and practices surrounding the intrauterine device in South Africa. Contraception. 2011;83:145–50.

    Article  PubMed  Google Scholar 

  26. Rubin SE, Fletcher J, Stein T, Segall-Giuterrez P, Gold M. Determinants of intrauterine contraception provision among US family physicians: a national survey of knowledge, attitudes and practice. Contraception. 2011;83:472–8.

    Article  PubMed  Google Scholar 

  27. Madden T, Allsworth JE, Hladky KJ, Secura GM, Peipert JF. Intrauterine contraception in Saint Louis: a survey of obstetrician and gynecologists' knowledge and attitudes. Contraception. 2010;81:112–6.

    Article  PubMed  Google Scholar 

  28. Guindon GE, Lavis J, Boupha B, Shi G, Sidibe M, Turdaliyeva B. Research to Policy and Practice Study Team. Bridging the gaps among research, policy and practice in ten low- and middle-income countries: Development and testing of a questionnaire for health-care providers. Health Res Policy Syst. 2010;8:3.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Guindon GE, Lavis JN, Becerra-Posada F, Malek-Afzali H, Shi G, Yesudian CAK. Hoffman SJ, for the Research to Policy and Practice Study Team: Bridging the gaps between research, policy and practice in lowand middle-income countries: a survey of health care providers. Can Med Assoc J. 2010;182:E362–372.

    Article  Google Scholar 

  30. Cameron D, Lavis JN, Guindon GE, Akhtar T, Becerra Posada F, Ndossi G, Boupha B. Research to Policy and Practice Study Team. Bridging the gaps among research, policy and practice in ten low- and middle-income countries: Development and testing of a questionnaire for researchers. Health Res Policy Syst. 2010;8:4.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lavis JN, Guindon GE, Cameron D, Boupha B, Dejman M, Osei EJA, Sadana R, for the Research to Policy and Practice Study Team. Bridging the gaps between research, policy and practice in low- and middle-income countries: a survey of researchers. Can Med Assoc J. 2010;182:E350–61.

    Article  Google Scholar 

  32. Hoffman SJ, Guindon GE, Lavis JN, Ndossi GD, Osei EJA, Sidibe MF, Boupha B, Research to Policy & Practice Study Team. Assessing healthcare providers' knowledge and practices relating to insecticide-treated nets and the prevention of malaria in Ghana, Laos, Senegal and Tanzania. Malar J. 2011;10:363.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Hoffman SJ, Guindon GE, Lavis JN, Randhawa H, Becerra-Posada F, Dejman M, Falahat, K, Malek-Afzali H, Ramachandran P, Shi G, Yesudian CAK. Surveying the knowledge and practices of health professionals in China, India, Iran and Mexico on treating tuberculosis. Am J Trop Med Hyg. 2016. doi:10.4269/ajtmh.15-0538

  34. McColl A, Smith H, White P, Field J. General practitioner’s perceptions of the route to evidence based medicine: a questionnaire survey. BMJ. 1998;316:361–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. ICF International: The DHS Program Demographic and Health Surveys. http://dhsprogram.com/What-We-Do/Survey-Types/SPA.cfm. (2004): Accessed 10 Aug 2004.

  36. Page J, Heller RF, Kinlay S, Lim LL, Qian W, Suping Z, Kongpatanakul S, Akhtar M, Khedr S, Macharia W. Attitudes of developing world physicians to where medical research is performed and reported. BMC Public Health. 2003;3:6.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Prescott K, Lloyd M, Douglas HR, Haines A, Humphrey C, Rosenthal J, Watt I. Promoting clinically effective practice: general practitioners’ awareness of sources of research evidence. Fam Pract. 1997;14:320–3.

    Article  CAS  PubMed  Google Scholar 

  38. Wilson P, Droogan J, Glanville J, Watt I, Hardman G. Access to the evidence base from general practice: a survey of general practice staff in Northern and Yorkshire Region. Qual Saf Health Care. 2001;10:83–9.

    Article  CAS  Google Scholar 

  39. Wilson P, Glanville J, Watt I. Access to the online evidence base in general practice: a survey of the Northern and Yorkshire Region. Health Inf Libr J. 2003;20:172–8.

    Article  Google Scholar 

  40. World Health Organization. WHO Health Research Utilization Assessment Project: Questionnaire for Health Providers -Pilot Principal investigator: Shyama Kuruvilla. World Health Organization. 2002.

  41. World Health Organization. Integrated Management of Childhood Illness (IMCI) Multi-Country Evaluation -Health Facility Survey. World Health Organization. 2004.

  42. Landry R, Lamari M, Amara N. The extent and determinants of the utilization of university research in government agencies. Public Adm Rev. 2003;63:192–205.

    Article  Google Scholar 

  43. World Health Organization. Selected Practice Recommendations for Contraceptive Use. Department of Reproductive Health and Research, Family and Community Health. World Health Organization. 2004. http://www.who.int/reproductivehealth/publications/family_planning/9241562846index/en/. Accessed 15 Feb 2005.

  44. United Nations Population Division. World population prospects: the 2004 revision. New York: United Nations; 2005.

    Google Scholar 

  45. World Economic Outlook database. International Monetary Fund, Washington DC. 2007. https://www.imf.org/en/data. Accessed 12 Jun 2015.

  46. World Health Organization. World health statistics 2007. World Health Organization. Geneva: World Health Organization; 2007. http://www.who.int/whosis/whostat2007/en/. Accessed 12 Jun 2015.

    Google Scholar 

  47. United Nations common database. United Nations Statistics Division, New York. 2008. Accessed 12 Jun 2015.

  48. United Nations Population Division. World contraceptive patterns 2013 [wall chart]. UN Department of Economics and Social Affairs. 2013. http://www.un.org/en/development/desa/population/publications/pdf/family/worldContraceptivePatternsWallChart2013.pdf. Accessed 12 Jun 2015.

  49. World Health Organization. Trends in maternal mortality: 1990 to 2013. Estimates by WHO, UNICEF, UNFPA, The World Bank and the United Nations Population Division. 2014. http://www.who.int/reproductivehealth/publications/monitoring/maternal-mortality-2013/en/. Accessed 12 Jun 2015

  50. Cook DJ, Mulrow CD, Haynes RB. Systematic reviews: synthesis of best evidence for clinical decisions. Ann Intern Med. 1997;126:376–80.

    Article  CAS  PubMed  Google Scholar 

  51. Lavis JN, Davies HT, Gruen RL, Walshe K, Farquhar CM. Working within and beyond the Cochrane Collaboration to make systematic reviews more useful to healthcare managers and policy makers. Healthc Policy. 2006;1:21–33.

    PubMed  PubMed Central  Google Scholar 

  52. Oxman AD, Guyatt G. When to believe a subgroup analysis. In: Guyatt G, Rennie D, Meade MO, Cook DJ, editors. Users’ guide to the medical literature: A manual for evidence-based clinical practice. Chicago: AMA Press; 2002. p. 553–65.

    Google Scholar 

  53. Haynes RB, Mulrow CD, Huth EJ, Altman DG, Gardner MJ. More informative abstracts revisited. Ann Intern Med. 1990;113:69–76.

    Article  CAS  PubMed  Google Scholar 

  54. StataCorp. Stata Multiple Imputation Reference Manual Release 11. College Station, Texas: Stata Press; 2009.

    Google Scholar 

  55. Applegate BW, Sheffer CE, Crews KM, Payne TJ, Smith PO. A survey of tobacco-related knowledge, attitudes and behaviours of primary care providers in Mississippi. J Eval Clin Pract. 2008;14:537–44.

    Article  PubMed  Google Scholar 

  56. Menees SB, Patel DA, Dalton V. Colorectal cancer screening practices among obstetrician/gynecologists and nurse practitioners. J Womens Health (Larchmt). 2009;18:1233–8.

    Article  Google Scholar 

  57. Sabatino SA, McCarthy EP, Phillips RS, Burns RB. Breast cancer risk assessment and management in primary care: provider attitudes, practices, and barriers. Cancer Detect prev. 2007;31:375–83.

    Article  PubMed  Google Scholar 

  58. Daley MF, Liddon N, Crane LA, Beaty BL, Barrow J, Babbel C, Markowitz LE, Dunne EF, Stokley S, Dickinson LM, Berman S, Kempe A. A national survey of pediatrician knowledge and attitudes regarding human papillomavirus vaccination. Pediatrics. 2006;118:2280–9.

    Article  PubMed  Google Scholar 

  59. Ozuah PO, Avner JR, Stein RE. Oral rehydration, emergency physicians, and practice parameters: a national survey. Pediatrics. 2002;109:259–61.

    Article  PubMed  Google Scholar 

  60. Steiner MJ, Raymond E, Attafuah JD, Hays M. Provider knowledge about emergency contraception in Ghana. J Biosoc Sci. 2000;32:99–106.

    Article  CAS  PubMed  Google Scholar 

  61. Suhaimi H, Monga D, Siva A. A study of knowledge and attitudes towards contraception among health care staff in Kelantan (Malaysia). Singapore Med J. 1996;37:51–4.

    CAS  PubMed  Google Scholar 

  62. Gigerenzer G, Gray JAM. Better Doctors, Better Patients, Better Decisions: Envisioning Health Care 2020. Cambridge, MA: MIT Press; 2011.

    Book  Google Scholar 

  63. Zonfrillo MR, Nelson KA, Durbin DR. Emergency physicians' knowledge and provision of child passenger safety information. Acad Emerg Med. 2011;18:145–51.

    Article  PubMed  Google Scholar 

  64. Hodges B, Inch C, Silver I. Improving the psychiatric knowledge, skills, and attitudes of primary care physicians, 1950–2000: a review. Am J Psychiatry. 2001;158:1579–86.

    Article  CAS  PubMed  Google Scholar 

  65. Volpe M, Dedhiya SD. Physicians, patients, and public knowledge and perception regarding hypertension and stroke: a review of survey studies. Curr Med Res Opin. 2006;22:1319–30.

    Article  PubMed  Google Scholar 

  66. Zickmund SL, Brown KE, Bielefeldt K. A systematic review of provider knowledge of hepatitis C: is it enough for a complex disease? Dig Dis Sci. 2007;52:2550–56.

    Article  PubMed  Google Scholar 

  67. Zeteroglu S, Sahin G, Sahin HA, Bolluk G. Knowledge and attitudes towards emergency contraception of health-care providers in a region with a high birth rate. Eur J Contracept Reprod Health Care. 2004;9:102–6.

    Article  CAS  PubMed  Google Scholar 

  68. Krille L, Hammer GP, Merzenich H, Zeeb H. Systematic review on physician's knowledge about radiation doses and radiation risks of computed tomography. Eur J Radiol. 2010;76:36–41.

    Article  PubMed  Google Scholar 

  69. van Gerwen M, Franc C, Rosman S, Le Vaillant M, Pelletier-Fleury N. Primary care physicians' knowledge, attitudes, beliefs and practices regarding childhood obesity: a systematic review. Obesity Reviews. 2009;10:227–36.

    Article  PubMed  Google Scholar 

  70. Wolfert MZ, Gilson AM, Dahl JL, Cleary JF. Opioid analgesics for pain control: Wisconsin physicians' knowledge, beliefs, attitudes, and prescribing practices. Pain Medicine. 2010;11:425–34.

    Article  PubMed  Google Scholar 

  71. Zierler BK, Meissner MH, Cain K, Strandness Jr DE. A survey of physicians' knowledge and management of venous thromboembolism. Vasc Endovascular Surg. 2002;36:367–75.

    Article  PubMed  Google Scholar 

  72. Adams AS, Soumerai SB, Lomas J, Ross-Degnan D. Evidence of self-report bias in assessing adherence to guidelines. Int J Qual Health Care. 1999;11:187–92.

    Article  CAS  PubMed  Google Scholar 

  73. Johnson S, Pion C, Jennings V. Current methods and attitudes of women towards contraception in Europe and America. Reprod Health. 2013;10:7.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Forsetlund L, Bjørndal A, Rashidian A, Jamtvedt G, O'Brien MA, Wolf F, Davis D, Odgaard-Jensen J, Oxman AD. Continuing education meetings and workshops: effects on professional practice and health care outcomes. Cochrane Database of Syst Rev. 2009;2, CD003030.

    Google Scholar 

  75. Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009;3, CD001096.

    Google Scholar 

  76. Jamtvedt G, Young JM, Kristoffersen DT, O'Brien MA, Oxman AD. Audit and feedback: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2006;2, CD000259.

    Google Scholar 

  77. O'Brien MA, Rogers S, Jamtvedt G, Oxman AD, Odgaard-Jensen J, Kristoffersen DT, Forsetlund L, Bainbridge D, Freemantle N, Davis DA, Haynes RB, Harvey EL. Educational outreach visits: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2007;4, CD000409.

    Google Scholar 

  78. Farmer AP, Légaré F, Turcot L, Grimshaw J, Harvey E, McGowan JL, Wolf F. Printed educational materials: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2008;3, CD004398.

    Google Scholar 

  79. Flodgren G, Parmelli E, Doumit G, Gattellari M, O'Brien MA, Grimshaw J, Eccles MP. Local opinion leaders: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2007;1, CD000125.

    Google Scholar 

  80. Health Systems Evidence. McMaster Health Forum, Hamilton. 2015. www.healthsystemsevidence.org. Accessed 14 Jun 2015.

  81. Bosch-Capblanch X, Lavis JN, Lewin S, Atun R, Røttingen JA, Dröschel D, Beck L, Abalos E, El-Jardali F, Gilson L, Oliver S, Wyss K, Tugwell P, Kulier R, Pang T, Haines A. Guidance for evidence-informed policies about health systems: Rationale for and challenges of guidance development. PLoS Med. 2012;9(3), e1001185.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Members of the Research to Policy and Practice (RPP) Study Team include: John N. Lavis, G. Emmanuel Guindon, David Cameron and Steven J. Hoffman (Canada); Guang Shi and Tinglin Qiu (China); Eric J.A. Osei and Kudjoe Dovlo (Ghana); C.A.K. Yesudian and P. Ramachandran (India); Hossein Malek-Afzali, M. Dejman, K. Falahat, M. Baradaran, E. Habibi, H. Kohanzad, M. Nasehi and S. Salek (Iran); A.A. Akanov, B.S. Turdaliyeva, N.K. Hamzina, K.A. Tulebaev, T.I. Clazhneva, and G. Battakova (Kazakhstan); Boungnong Boupha, Sengchanh Kounnavong, and Latsamy Siengsounthone (Lao People’s Democratic Republic); Francisco Becerra-Posada, Leticia Alfaro Ramos and Israel Mejia (Mexico); Tasleem Akhtar and M. Mubashir A. Khan (Pakistan); Mintou Fall Sidibe, Awa Sidibe, and Djiby Ndiaye (Senegal); Godwin D. Ndossi and Julius Massaga (Tanzania); and Ritu Sadana and Tikki Pang (World Health Organization).

We thank the technical experts who provided support to one or more phases of the study, the researchers who shared their questionnaires with us, and the participants in the project workshop that was held in Geneva to discuss the data-collection process, interim findings, and potential implications for dissemination and next steps. We also thank Andrew Kennedy and Carol D’Souza who provided scientific input in one or more phases of the study.

Funding

Funding for this project was provided by the Alliance for Health Policy & Systems Research and the Global Development Network and supplemented with substantial in-kind support of staff time and other resources from McMaster University and the World Health Organization. SJH is financially supported by the Canadian Institutes of Health Research, the Research Council of Norway, and the Trudeau Foundation. JNL received salary support as the Canada Research Chair in Evidence-Informed Health Systems.

Authors’ contributions

SJH, GEG, JNL, FBP, BB, GS, BST and contributed substantially to the study concept and design, the acquisition of data, or the analysis and interpretation of data, and revised the article critically for important intellectual content. SJH and HR led the drafting of the paper, GEG led the data analysis, and JNL led the overall study design. All authors gave their approval for this paper to be published.

Competing interests

We declare that we have no conflicting interests. The views expressed in this article are those of the authors and do not necessarily represent the decisions, policies or views of their affiliated institutions or of the World Health Organization.

Ethics approval and consent to participate

This study was approved by the World Health Organization’s Research Ethics Review Committee.

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Correspondence to Steven J. Hoffman.

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Hoffman, S.J., Guindon, G.E., Lavis, J.N. et al. Clinicians’ knowledge and practices regarding family planning and intrauterine devices in China, Kazakhstan, Laos and Mexico. Reprod Health 13, 70 (2016). https://doi.org/10.1186/s12978-016-0185-1

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