<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJCD</journal-id><journal-title-group><journal-title>Open Journal of Clinical Diagnostics</journal-title></journal-title-group><issn pub-type="epub">2162-5816</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojcd.2020.102006</article-id><article-id pub-id-type="publisher-id">OJCD-101694</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Knowledge and Skills Gap of Midwives to Conduct Obstetric Ultrasonography Screening in Primary Health Care Facilities in Kajiado and Kisii Counties, Kenya
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Micah</surname><given-names>Matiang’i</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Priscilla</surname><given-names>Ngunju</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Josephat</surname><given-names>Nyagero</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jarim</surname><given-names>Omogi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Amref International University, Nairobi, Kenya</addr-line></aff><pub-date pub-type="epub"><day>23</day><month>07</month><year>2020</year></pub-date><volume>10</volume><issue>02</issue><fpage>65</fpage><lpage>79</lpage><history><date date-type="received"><day>7,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>27,</day>	<month>June</month>	<year>2020</year>	</date><date date-type="accepted"><day>30,</day>	<month>June</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <b>Background: </b>
  Ultrasound remains a tool of much importance in maternity care with midwives regarded as key health professionals when it comes to care of pregnant mothers. There is however limited study on the knowledge and skills gaps of midwives in conducting obstetric ultrasonography screening. The purpose of this study was to assess the specific obstetric ultrasonography knowledge and skills gaps among midwives based in primary health care facilities. <b>Methods: </b>A cross-sectional study employing both qualitative and quantitative method was conducted between July and August 2019 with 274 midwives. A structured questionnaire was used to collect data while Focus group discussion and Key Informants Interview were used to collect qualitative data. Descriptive statistics were used to summarize the data test associations between variables while the qualitative data were used to compliment the questionnaire data in eliciting more information on the gaps. <b>Findings: </b>Almost all (94.5%) the midwives had never been trained on any basic obstetric ultrasound while six of those that had been trained in early stages by the project<b> </b>lacked equipment to practice the acquired skills. More than three quarters of the respondents opined that they wished to provide personalized care services to mothers/clients seeking Antenatal Care Services (ANC) in their community at a fee while only 13.9% had knowledge that obstetric screening should be done before 24 weeks gestation. Four out of ten<b> </b>of the respondents scored themselves a one (1) on the level of confidence they have using an ultrasound machines or technology. <b>Conclusion: </b>There still remains a huge gap as far as training of midwives on basic ultrasound screening is concerned. The lack of basic obstetric ultrasound screening skills is a barrier to rolling out Point of Care Ultrasound (POCUS) screening services. However, midwives are motivated and willing to learn basic ultrasonography skills to further the objectives of Universal Health Coverage (UHC). Concerted efforts should be made to train midwives on basic obstetric ultrasonography skills in addition to availing mobile/hand held ultrasound technology in Primary Health facilities for them to apply the transferred skills. A sustainable business model to enable mothers continuously afford the services is critical as well.
 
</p></abstract><kwd-group><kwd>Antenatal Care</kwd><kwd> Basic Ultrasound Screening</kwd><kwd> Midwives</kwd><kwd> Primary Health Care</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In response to the Astana declaration (2018), strengthening Primary Health Care (PHC) is the most efficient, fair and cost-effective way to achieve lasting health impacts in developing countries. Although, between 1990 and 2015, there was a global drop of Maternal Mortality Ratio from 385 to 216/100,000 live births and 488 to 362/100,000 live births in Kenya, mothers continue to die from preventable morbidities (MMEIG report 2015). The World Health Organisation (WHO) recommends at least one ultrasound screen for pregnant women before 24 weeks gestation and the International Federation of Gynaecology &amp; Obstetrics (FIGO, 2014) recommends at least two ultrasound examinations for all pregnant women. Unfortunately most women in Africa go through pregnancy without the benefit of a single ultrasound examination [<xref ref-type="bibr" rid="scirp.101694-ref1">1</xref>]. Ultrasound technology has been used to determine various foetal anomalies [<xref ref-type="bibr" rid="scirp.101694-ref2">2</xref>] which creates an opportunity for early referral for specialized care [<xref ref-type="bibr" rid="scirp.101694-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.101694-ref4">4</xref>]. However, unequal distribution and high cost of obstetric ultrasound technology has created a barrier to mothers accessing the essential service in developing countries.</p><p>There is evidence that midwives can learn basic ultrasound skills [<xref ref-type="bibr" rid="scirp.101694-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.101694-ref6">6</xref>] and such diagnostic care is not only beneficial but also leaves pregnant women more satisfied when they know early enough the status of their pregnancy [<xref ref-type="bibr" rid="scirp.101694-ref7">7</xref>]. Therefore Point of Care Obstetric Ultrasound Services (POCUS) in maternity care is a critical intervention in primary health care levels where mothers have limited access to basic diagnostic services. Midwives and nurses are the majority service providers in health facilities at the primary health care facilities yet they have limited access to basic tools to improve the quality of Antenatal Care. This presents an opportunity to train them on basic obstetric ultrasound skills using the innovative portable mobile apps e.g. Lumify ultrasound technology focusing on the critical parameters for antenatal mothers. There is however limited study on the knowledge and skills gaps of midwives in conducting obstetric ultrasonography screening in primary health care facilities in developing countries. The purpose of this study was to assess the specific basic obstetric ultrasonography knowledge and skills gaps among midwives based in underserved primary health care settings of Kajiado and Kisii counties-Kenya. Although there is no documented evidence that early pregnancy ultrasonography has a direct impact on maternal and neonatal mortality [<xref ref-type="bibr" rid="scirp.101694-ref6">6</xref>], there is also limited evidence on the sustainable business models that can sustainably enable mothers access the latest obstetric ultrasonography technological innovations in a low income country setting.</p></sec><sec id="s2"><title>2. Method</title><sec id="s2_1"><title>2.1. Study Design and Location</title><p>A descriptive cross-sectional mixed method study was undertaken among midwives in Kisii and Kajiado Counties in Kenya. According to Kenya National Bureau of Statistics (KNBS) Kisii County has a population of 1,266,860 while Kajiado has 1,157,873. The two counties are largely rural but includes peri-urban areas. The midwives in the two Counties are homogenous professionally given that they undergo the same training. A list of all primary health facilities were stratified by region (Kajiado and Kisii) and by type of facility (public and non-public). The facilities were then purposively selected to ensure representation of views both from the public and non-public primary health care facilities in the two Couties. Having obtained a list of the nurses in the respective primary health facilities, a systematic sampling was used in selecting the nurses mid wives to be interviewed. Although Kajiado county is closer to the National Capital City County Nairobi as compared to Kisii county, both Counties have limited access to basic diagnostic technology for improved perinatal care in Primary Health Care settings.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>A questionnaire, focus group discussions (FGD) with nurse mid-wives and mothers attending ante-natal care in Kisii and Kajiado Counties was conducted. Six research assistants, fluent in English, administered the questionnaires, facilitated FGDs and KII, and obtained informed consent from participants. The research assistants who were to have the ability to use computers and mobile phone applications, had a training in health or social sciences and were familiar with the respective regions had a two day training for this study. The questionnaire and consent forms were pre-tested with 27 respondents and revised based on feedback received.</p><p>A mobile application tool Open Data Kit (ODK) was used to collect quantitative data from the nurse mid-wives.</p></sec></sec><sec id="s3"><title>3. Questionnaire</title><p>During the study period, 274 nurse mid wives from the two Couties responded to the questionnaire. The interviewer-administered questionnaire included socio demographic characteristics, women access to ultrasound services and mid wives knowledge and skills on point of Care obstetric ultrasonography services.</p><p>The study assumed that when trained in the use of ultrasonography no difference in the understanding and use of technology between the midwives in the two Couties would exist. The study therefore adopted a two sample approach with the anticipated population proportions being P<sub>1</sub> (0.5) and P<sub>2</sub> (0.5) at a significance level of 0.005.</p><sec id="s3_1"><title>3.1. Focus Group Discussion and Key Informants Interviews</title><p>All the respondents for the FGDs and KII were purposively selected based on their positions, knowledge and their availability to participate in the study. A total of four FGDs were conducted among midwives. In addition, Key Informants Interviews (KIIs) was carried out among two representatives of the nursing council of Kenya (NCK) and society of radiography in Kenya (SORK). One KII each was conducted to a member of the mid wives association of Kenya, representative of the Obstetrics and Gynecologists society of Kenya and respective Chief County nurses in the two Counties. Information collected through FGD and KII sought to compliment the questionnaire data in the gaps that exist as far as the knowledge and skills of the midwives on Point of Care obstetric ultrasonography screening (POCUS) at the Primary Health Care level. The qualitative data also described the obstetric ultrasonography knowledge and skills gaps among midwives based in primary health care facilities.</p><p>Each FGD lasted for 45 - 60 minutes and was audio taped after getting written consent from the participants.</p><p>The study protocol, data collection tools, and consent forms were reviewed and approved by Amref Ethics and Scientific Review Committee (ESRC). Further authorization was obtained from the relevant administrative authorities in Kajiado and Kisii Counties in Kenya.</p></sec><sec id="s3_2"><title>3.2. Data Management and Analysis</title><sec id="s3_2_1"><title>3.2.1. Questionnaire</title><p>The questionnaire data already captured in ODK was later converted to excel. The data were later converted to SPSS version 25 that was used to calculate descriptive statistics for study variables. Tables and figures were used to graphically show the respective findings. Bivariate and logistic regression were used to identify predictive variables, and ORs with 95% confidence intervals and value were used to measure the strength of the associations.</p></sec><sec id="s3_2_2"><title>3.2.2. Focus Group Discussions</title><p>FGDs were transcribed and translated from Swahili to English by the research assistants. Transcripts were checked against the audio recordings and cleaned to remove all the identifying information. After an initial reading of the transcript and field notes, codes were developed based on the main interview questions, prior literature, and emergent concepts from the data. The Principal Investigator and one Co-principal Investigator independently reviewed one transcript and developed a coding structure which was discussed among the other researchers and agreed upon. A thematic analysis was later conducted where individual codes were read in aggregate and a written summary developed. The analysis attempted to achieve equal and fair representation of the participant’s opinions. We selected representative quotes to illustrate study findings and retained informal language.</p></sec></sec><sec id="s3_3"><title>3.3. Limitations</title><p>Being a snap survey is possible to have omitted respondents with the most reliable information</p></sec></sec><sec id="s4"><title>4. Results</title><sec id="s4_1"><title>4.1. Questionnaire</title><p>As shown in <xref ref-type="table" rid="table1">Table 1</xref>, Kisii County comprised of 69% of the respondents with 73.4% being female while 86.9% had a degree as their highest education level. More than 80% of the respondents were not satisfied with the income they receive from professional employment with only 27% indicating that they had an income above (USD 500). Public facility had the majority of the respondents (80.3%) with nearly two thirds working in level 3 facilities. ANC clinic and labour ward had the highest deployment areas in terms of the midwives at 48.9% and 32.1% respectively. Access to ultrasound services in the two Counties was low with 20.4% access in Kajiado while Kisii had less than 10%. Only 17.9% of the respondents from public facilities had access to an ultrasound machine as depicted in <xref ref-type="table" rid="table2">Table 2</xref> but it was also reported that sometimes they are dormant for lack of technicians to operate them.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio demographic characteristics of the respondents (n = 274)</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >County</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Kisii</td><td align="center" valign="middle" >189</td><td align="center" valign="middle" >68.98</td></tr><tr><td align="center" valign="middle" >Kajiado</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >31.02</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >26.64</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >201</td><td align="center" valign="middle" >73.36</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diploma</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >8.39</td></tr><tr><td align="center" valign="middle" >Degree</td><td align="center" valign="middle" >238</td><td align="center" valign="middle" >86.86</td></tr><tr><td align="center" valign="middle" >Certificate</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >4.74</td></tr><tr><td align="center" valign="middle" >Net Income (Ksh) from work profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤20,000</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >9.5</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >21,000 - 30,000</th><th align="center" valign="middle" >72</th><th align="center" valign="middle" >26.3</th></tr></thead><tr><td align="center" valign="middle" >31,000 - 40,000</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >19.3</td></tr><tr><td align="center" valign="middle" >41,000 - 50,000</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >18.2</td></tr><tr><td align="center" valign="middle" >≥51,000</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >26.6</td></tr><tr><td align="center" valign="middle" >Type of facility working in</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Private for profit</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >13.14</td></tr><tr><td align="center" valign="middle" >Private (Non Profit)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >6.57</td></tr><tr><td align="center" valign="middle" >Public</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >80.29</td></tr><tr><td align="center" valign="middle" >Level of facility</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Level 2</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >Level 3</td><td align="center" valign="middle" >162</td><td align="center" valign="middle" >59.1</td></tr><tr><td align="center" valign="middle" >Level 4</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >37.9</td></tr><tr><td align="center" valign="middle" >Others (Level 1 level 5)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.4</td></tr><tr><td align="center" valign="middle" >Deployment area</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ANC clinic</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >48.91</td></tr><tr><td align="center" valign="middle" >Labour ward</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >32.12</td></tr><tr><td align="center" valign="middle" >Postnatal ward</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.11</td></tr><tr><td align="center" valign="middle" >Out-patient</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >13.87</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Access to ultrasound Services in the facilities (n = 274)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >County</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Kisii</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >9.9%</td></tr><tr><td align="center" valign="middle" >Kajiado</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >20.4%</td></tr><tr><td align="center" valign="middle" >Level of facility</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Level 2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.4%</td></tr><tr><td align="center" valign="middle" >Level 3</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >13.5</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >13.5%</td></tr><tr><td align="center" valign="middle" >Type of facility</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Private for profit</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >8.8%</td></tr><tr><td align="center" valign="middle" >Private for Non profit</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >3.6%</td></tr><tr><td align="center" valign="middle" >Public</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >17.9</td></tr></tbody></table></table-wrap></sec><sec id="s4_2"><title>4.2. Training and Motivation on Obstetric Ultrasound Screening Skills</title><p>A whopping majority comprising of 260 (94.5%) of the midwives responded that they have never been trained on any basic obstetric ultrasound screening skills. The remaining 15 (5.5%) indicated that they had earlier been exposed to ANC ultrasound screening. Six (6) and nine (9) of the fifteen were from Kisii and Kajiado counties respectively; they had been trained in early stages of a midwives entrepreneurship project offered by Amref but they lacked equipment to practice (<xref ref-type="table" rid="table3">Table 3</xref>). In general midwives from both Kajiado (Peri-urban) and Kisii counties (rural) expressed willingness to learn the basic ultrasound screening skills but on bivariate analysis there was no association between type of county and desire or motivation to be trained.</p><p>The midwives were further asked to specify the skills they wish to learn on ultrasound screening and their feedback is as presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>. In general the highly ranked skill the midwives wanted to learn is how to operate an ultrasound machine (98%), confirm gestational age of a pregnancy (91%) and fetal viability (91%). A total of 269 (98.2%) of the respondents said they were very motivated to learn the basic obstetric screening skills and they further <xref ref-type="table" rid="table4">Table 4</xref> gave various reasons why they are motivated. On perceptions mothers may have, 271 (98.9%) of the respondents believed that mothers will have no problem trusting the basic ultrasonography screening services being offered by a midwife.</p></sec><sec id="s4_3"><title>4.3. Midwives Knowledge on Point of Care Obstetric Ultrasonography Service</title><p>More than three quarters (77.74%) of the respondents opined that they wished to provide personalized care services to ANC mothers/clients in their community at a fee with the respondents listing birth preparation (95.8%), nutrition education (94.4%) and Post-natal education (92.5%) among the additional services</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Association between county and midwives knowledge and perceptions on point of care obstetric ultrasonography services</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >County</th><th align="center" valign="middle" >Statistics</th></tr></thead><tr><td align="center" valign="middle" >Variable</td><td align="center" valign="middle" >Kajiado n (%)</td><td align="center" valign="middle" >Kisii n (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Do you believe a nurse-midwife can learn basic obstetric ultrasound screening skills?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 1.82, P = 0.177</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >85 (100)</td><td align="center" valign="middle" >185 (97.88)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4 (2.12)</td></tr><tr><td align="center" valign="middle" >Do you think mothers can trust a midwife to offer basic ultrasound screening services?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 0.0076, P = 0.931</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >84 (98.82)</td><td align="center" valign="middle" >187 (98.94)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1 (1.18)</td><td align="center" valign="middle" >2 (1.06)</td></tr><tr><td align="center" valign="middle" >Have you ever been trained on essential obstetric ultrasound screening skills?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >No statistic</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >9 (10.59)</td><td align="center" valign="middle" >6 (3.17)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >76 (89.41)</td><td align="center" valign="middle" >183 (96.83)</td></tr><tr><td align="center" valign="middle" >Are you personally motivated to learn basic obstetric ultrasonography skills?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >No statistic</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >81 (95.29)</td><td align="center" valign="middle" >188 (99.47)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >4 (4.71)</td><td align="center" valign="middle" >1 (0.53)</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Reasons why midwives are learning essentials of ultrasonography</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >What motivates you to learn basic obstetric ultrasonography Screening skills</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >Help mothers locally</td><td align="center" valign="middle" >234</td><td align="center" valign="middle" >85.4%</td></tr><tr><td align="center" valign="middle" >Reduce adverse perinatal outcomes</td><td align="center" valign="middle" >221</td><td align="center" valign="middle" >80.7%</td></tr><tr><td align="center" valign="middle" >Earn extra income</td><td align="center" valign="middle" >154</td><td align="center" valign="middle" >56.2%</td></tr><tr><td align="center" valign="middle" >Self-satisfaction</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >54.0%</td></tr><tr><td align="center" valign="middle" >Start own sonography business</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >36.1%</td></tr><tr><td align="center" valign="middle" >Get promoted</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >26.3%</td></tr><tr><td align="center" valign="middle" >Get redeployed</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >14.6%</td></tr></tbody></table></table-wrap><p>they could provide to ANC mothers in a personalized community care arrangement. Only 13.9% of the 274 respondents had knowledge that obstetric screening should be done before 24 weeks gestation <xref ref-type="fig" rid="fig2">Figure 2</xref>. Notably, 110 (40%) of the respondents on a scale of 1 to 5 (one being the least), scored themselves a one (1) on the level of confidence they have using a ultrasound machines.</p></sec><sec id="s4_4"><title>4.4. Association between County and ANC Clients Screening and Monitoring Practices at Service Delivery Points</title><p>Significant difference were also observed between the Counties and ANC clients screening and monitoring practices at service delivery points; the factors included whether ANC clients are referred for ANC profiling (χ<sup>2</sup> = 14.05, P = 0.000, 0R = 0.36, 95% CI 0.21 - 0.62), if pregnant women in the facilities have access to ultrasound screening services (χ<sup>2</sup> = 73.92, P = 0.000, 0R = 0.86, 95% CI 0.05 - 0.16), ability of mother to pay for ultrasound (χ<sup>2</sup> = 13.91, P = 0.000, 0R = 0.35, 95% CI (0.20 - 0.61), and number of mothers refered (χ<sup>2</sup> = 18.59, P = 0.000, 0R = 0.31, 95% CI (0.18 - 0.53).</p><p>The health workers in Kisii County were less likely (0.36 times p-value 0.000) to refer ANC clients for ANC profiling compared to the health workers in Kajiado.</p><p>Pregnant women in Kisii facilities were less likely (0.86 times p-value 0.000) to have access to ultrasound screening services compared to their counterparts in Kajiado with mothers in visiting Kisii facilities less likely (0.35 times p-value 0.000) to have ability to pay for the ultrasound services as shown in <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>In addition, the study found that 146 (65.5%) of the midwives working in the public health facilities never access an ultrasound for the clients compared to only 10 (4.5%) and 6 (2.7%) working in private for profit and private for non-profit facilities.</p></sec><sec id="s4_5"><title>4.5. Utilization of Available Ultrasound Services and Referral System</title><p>Although 18% of the respondents from public facilities indicated that they had access to ultrasound machines in their facilities, the midwives further observed that mothers who seek ultrasound services are mainly in their 2<sup>nd</sup> Trimester (72.62%) and 3<sup>rd</sup> trimester (26.19%). Mostly mothers undertake an ultrasound screening upon referral from lower levels of the health system especially when they suspect a fetal death or abnormal hemorrhage (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Notably, 58.8% of the respondents do refer such mothers to levels 4 and 5 public health facilities (<xref ref-type="fig" rid="fig4">Figure 4</xref>) because they are cheaper as compared to private facilities where an ultrasound service costs USD 15 to USD 250. It is only 25.9% of the respondents who believed that obstetric ultrasound screening should be done routinely for pregnant women; 32% of the respondents indicated that ultrasound screening should only be done when a complication is suspected. Nevertheless nearly all respondents (98.18%) thought it is very necessary for ANC mothers to access obstetric ultrasound screening services in their facilities.</p></sec></sec><sec id="s5"><title>5. Discussion</title><sec id="s5_1"><title>5.1. Socio-Demographic Characteristics</title><p>The female were the majority in this study and this confirms previous findings that women’s share of employment in the health and social sector is high. However, according to a report done by WHO in 104 countries, there exist systematic differences in gender distribution by occupation across all regions. According to</p><table-wrap-group id="5"><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Association between county and ANC clients screening and monitoring practices at service delivery points</title></caption><table-wrap id="5_1"><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >County</th><th align="center" valign="middle" >Statistics</th></tr></thead><tr><td align="center" valign="middle" >Variable</td><td align="center" valign="middle" >Kajiado n (%)</td><td align="center" valign="middle" >Kisii n (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >How do you screen pregnant mothers’ ANC parameters</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="4"  >No statistic</td></tr><tr><td align="center" valign="middle" >Manually</td><td align="center" valign="middle" >22 (25.88)</td><td align="center" valign="middle" >25 (13.23)</td></tr><tr><td align="center" valign="middle" >Electronically</td><td align="center" valign="middle" >4 (4.71)</td><td align="center" valign="middle" >3 (1.59)</td></tr><tr><td align="center" valign="middle" >Manual and electronic</td><td align="center" valign="middle" >59 (69.41)</td><td align="center" valign="middle" >161 (85.19)</td></tr><tr><td align="center" valign="middle" >Do you refer ANC clients for ANC profiling?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 14.05, P = 0.000 0R = 0.36, 95% CI (0.21 - 0.62)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >40 (47.06)</td><td align="center" valign="middle" >46 (24.34)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >45 (52.94)</td><td align="center" valign="middle" >143 (75.66)</td></tr></tbody></table></table-wrap><table-wrap id="5_2"><table><tbody><thead><tr><th align="center" valign="middle" >Do pregnant women in your facility have access to ultrasound screening services?</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 73.92, P = 0.000 0R = 0.86, 95% CI (0.05 - 0.16)</th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >56 (65.88)</td><td align="center" valign="middle" >27 (14.29)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >29 (34.12)</td><td align="center" valign="middle" >162 (85.71)</td></tr><tr><td align="center" valign="middle" >Do you find it necessary for ANC mothers to access obstetric ultrasound screening services in your facility?</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 2.29, P = 0.130</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >85 (100</td><td align="center" valign="middle" >184 (97.35)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5 (2.65)</td></tr><tr><td align="center" valign="middle" >Cost of ultrasound</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >χ<sup>2</sup> = 2.60, P = 0.107</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >23 (27.06)</td><td align="center" valign="middle" >70 (37.04)</td></tr><tr><td align="center" valign="middle" >≥Ksh 1001</td><td align="center" valign="middle" >62 (72.94)</td><td align="center" valign="middle" >119 (62.96)</td></tr><tr><td align="center" valign="middle" >Are mothers able to pay for ultrasound</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >36 (42.35)</td><td align="center" valign="middle" >39 (20.63)</td><td align="center" valign="middle"  rowspan="2"  >χ<sup>2</sup> = 13.91, P = 0.000 0R = 0.35, 95% CI (0.20 - 0.61)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >49 (57.65)</td><td align="center" valign="middle" >150 (79.37)</td></tr><tr><td align="center" valign="middle" >Number of mothers refereed</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;11 Mothers</td><td align="center" valign="middle" >43 (50.59)</td><td align="center" valign="middle" >145 (76.72)</td><td align="center" valign="middle"  rowspan="2"  >χ<sup>2</sup> = 18.59, P = 0.000 0R = 0.31, 95% CI (0.18 - 0.53)</td></tr><tr><td align="center" valign="middle" >≥11 Mothers</td><td align="center" valign="middle" >42 (49.41</td><td align="center" valign="middle" >44 (23.28)</td></tr></tbody></table></table-wrap></table-wrap-group><p>the report, male workers are significantly represented as physicians, dentists and pharmacists in the workforce, with female comprising the vast majority of the nursing and midwifery workforce [<xref ref-type="bibr" rid="scirp.101694-ref8">8</xref>].</p><p>Eight out of ten service providers worked in public sector. Our results are similar to those of African studies [<xref ref-type="bibr" rid="scirp.101694-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.101694-ref10">10</xref>]. This could be due to the fact that the public sector remains the major employer of health workers and the high number of public facilities both in Kisii and Kajiado.</p></sec><sec id="s5_2"><title>5.2. Knowledge and Skills Levels</title><p>The lack of trained providers in point of care ultrasound is said to be a barrier to its utility in middle income countries leading to a demand for training courses directed at filling this need [<xref ref-type="bibr" rid="scirp.101694-ref11">11</xref>]. Training of health personnel is a key factor to implementation of quality obstetric ultrasound services since better management of patients relies on the ability of health personnel to use the machine proficiently and interpret findings accurately [<xref ref-type="bibr" rid="scirp.101694-ref12">12</xref>].</p><p>According to The International Society of Ultrasound Obstetrics and Gynecology (ISUOG), basic ultrasound examination should be done to investigate the fetal viability and fetal movements, detection of multiple pregnancy, assessment of gestational age and fetal size by recording biometric measurements, evaluation of amount of amniotic fluid, placenta location and fetal position [<xref ref-type="bibr" rid="scirp.101694-ref13">13</xref>].</p><p>According to WHO, there should be a minimum of 3 - 6 months of training accompanied with 300 - 500 examinations for the general ultrasonography curriculum [<xref ref-type="bibr" rid="scirp.101694-ref14">14</xref>]. At the same time, multiple studies have concluded that health professional, mainly midwives can be trained to perform point of care ultrasound to identify high risk pregnancies that can lead to allow cost improvement strategy in maternity services [<xref ref-type="bibr" rid="scirp.101694-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.101694-ref6">6</xref>]. This is consistent with our study in which almost all midwives believed that a nurse-midwife can learn basic obstetric ultrasound screening skills.</p><p>The training of the midwives on basic obstetric ultrasound remains very low among the respondents in this study with 9 out 10 confirming that they are yet to receive training on basic obstetric ultrasound. The figures are quite higher compared to a report in which 38.3% of service providers were found to have no training at all [<xref ref-type="bibr" rid="scirp.101694-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.101694-ref12">12</xref>]. Studies show that insufficient training for healthcare providers is the primary barrier to regular use of obstetric ultrasound [<xref ref-type="bibr" rid="scirp.101694-ref15">15</xref>] with a qualitative study done among Rwandan midwives showing that apart from offering a formal training for physicians, there is need for introduction of ultrasound training for midwives in order to decrease the burden of work in hospitals and to improve access to ultrasound at healthcare centers particularly in rural areas [<xref ref-type="bibr" rid="scirp.101694-ref7">7</xref>]. The motivation to learn basic obstetric ultrasound was high among those yet to learn and this is consistent with a study by Shah [<xref ref-type="bibr" rid="scirp.101694-ref15">15</xref>].</p><p>Our study shows a shortfall in the level of knowledge on the ideal time to perform a fetal biometry and this is higher compared to a study in Guinea in which 69.2% had no idea of the ideal time to perform a fetal biometry. The higher figures might be due to the fact that the study was done among midwives unlike the study in Guinea that was done majorly among obstetric gynecologists [<xref ref-type="bibr" rid="scirp.101694-ref16">16</xref>].</p><p>Our study found a significant difference in referral for ultrasonography, access to ultrasonography services, and the ability to pay for the services in the two Counties.</p><p>On access to ultrasound services for their clients, our study was consistent to a cross sectional study done in Rwanda in which participants from public health facilities were less likely to report access to obstetric ultrasound when needed compared to participants from private health facilities [<xref ref-type="bibr" rid="scirp.101694-ref15">15</xref>]. The study is also consistent with a surveys conducted across Canada and the United States that identified a lack of equipment, training and inability to maintain skills as major barriers to point-of care ultrasound (POCUS) [<xref ref-type="bibr" rid="scirp.101694-ref17">17</xref>].</p><p>Kisii being a rural set-up, the midwives reported that their clients are less likely to access ultrasound unlike those in Kajiado that is peri-urban. In the study done in Rwanda, participants employed at health facilities outside Kigali area were less likely to report access to obstetric ultrasound when needed than participants employed at health facilities in the Kigali area [<xref ref-type="bibr" rid="scirp.101694-ref3">3</xref>]. According to a 25 question online survey from 44 countries, some of the barriers to use of ultrasound include lack of training, lack of equipment, ultrasound machine malfunction and lack of maintenance [<xref ref-type="bibr" rid="scirp.101694-ref15">15</xref>].</p><p>A majority of the midwives indicated that they would love to learn basic ultrasound screening services and this is consistent with a qualitative study done in Rwanda [<xref ref-type="bibr" rid="scirp.101694-ref18">18</xref>] in which physicians interviewed believed that it would be one important strategy to improve care for pregnant women particularly the poorest in rural areas who were less likely to be seen by physicians during pregnancy, to reduce the burden on physicians and to reduce delay in decision making. In addition, with the shortage of physicians in rural areas, means that midwives or nurses are to manage complicated deliveries, putting a high responsibility on their shoulders.</p></sec></sec><sec id="s6"><title>6. Conclusion</title><p>Ultrasound has the capability to markedly improve diagnostic services hence improving the detection of high risk pregnancies and increased ANC attendance. However, the success of this important diagnostic tool depends on the level of knowledge and skill of the operator as well as its availability. Our current study identified lack of knowledge and skills, limited access to ultrasound technology, high cost ultrasound diagnostic services and limited number of experts in the facilities as the main challenges to mothers accessing the service before 24 weeks gestation.</p></sec><sec id="s7"><title>Recommendations</title><p>Previous studies have demonstrated that training midwives to perform obstetric ultrasound is both feasible and practical more so when combined with quality assurance and closer mentorship and supervision.</p><p>This study adds to the current knowledge on some of the gaps on knowledge and skills among midwives that need to be addressed. Midwives need to possess more knowledge and skills in use of ultrasound to assist them play their role and responsibilities effectively.</p><p>Given the urge and motivation of the midwives to ultrasonography training, there is need for developing content rich distance learning modules, well thought and creative sustainable programs for training, mentorship and supervision.</p></sec><sec id="s8"><title>Authors’ Contributions</title><p>Matiang’i M designed, coordinated and oversaw the study in Kenya, Nyagero J supervised the data management, Ngunju P supervised the enumerators while Omogi J assisted in data management. All authors read and approved the manuscript.</p></sec><sec id="s9"><title>Acknowledgements</title><p>Amref International University and its sponsor Amref Health Africa are grateful to the National Government (MOH), Kajiado and Kisii County Governments as well as the private clinics and communities involved in the study. Appreciation is extended to Phillips Foundation for their generous financial support; and June Victoria Omollo (Royal Philips-Africa) for her technical review of the study protocol.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare no competing interests.</p></sec><sec id="s11"><title>Cite this paper</title><p>Matiang’i, M., Ngunju, P., Nyagero, J. and Omogi, J. (2020) Knowledge and Skills Gap of Midwives to Conduct Obstetric Ultrasonography Scree- ning in Primary Health Care Facilities in Kajiado and Kisii Counties, Kenya. Open Journal of Clinical Diagnostics, 10, 65-79. https://doi.org/10.4236/ojcd.2020.102006</p></sec></body><back><ref-list><title>References</title><ref id="scirp.101694-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Wanyonyi, S.Z., Mariara, C.M., Vinayak, S. and Stones, W. (2017) Opportunities and Challenges in Realizing Universal Access to Obstetric Ultrasound in Sub-Saharan Africa. 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