<?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">OJN</journal-id><journal-title-group><journal-title>Open Journal of Nursing</journal-title></journal-title-group><issn pub-type="epub">2162-5336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojn.2018.85027</article-id><article-id pub-id-type="publisher-id">OJN-85050</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>
 
 
  Information Sources Consulted by Women in African Countries to Manage Menopausal Symptoms: A Systematic Review and Meta-Analysis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kathe</surname><given-names>Hofnie-Hoëbes</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>Alison</surname><given-names>Weightman</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Menete</surname><given-names>Shatona</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>Mark</surname><given-names>Kelson</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Cardiff University, Cardiff, UK</addr-line></aff><aff id="aff3"><addr-line>Exeter University, Exeter, UK</addr-line></aff><aff id="aff1"><addr-line>University of Namibia, Windhoek, Namibia</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>05</month><year>2018</year></pub-date><volume>08</volume><issue>05</issue><fpage>317</fpage><lpage>338</lpage><history><date date-type="received"><day>26,</day>	<month>March</month>	<year>2018</year></date><date date-type="rev-recd"><day>28,</day>	<month>May</month>	<year>2018</year>	</date><date date-type="accepted"><day>31,</day>	<month>May</month>	<year>2018</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>Despite an abundance of information regarding menopausal women in western society, African menopausal women have been overlooked in menopausal research, particularly, where they find information regarding menopause. Since inadequate health-related knowledge on menopause negatively affects the understanding of and coping with menopause and related symptoms, it is important to determine where women in Africa obtain their information about menopause.<b> Aim:</b> To conduct a systematic review to identify and analyse information sources consulted by menopausal women in the African region regarding the management of menopausal symptoms.<b> Method: </b>PubMed, Embase (OVID), Google Scholar, Medline (OVID), Medline in Process (OVID), Scopus, https://www.africabib.org/, African Index Medicus; http://indexmedicus.afro.who. int/,and African Journals Online (AJOL) were searched for publications from January 2000 to April 2017. Fourteen studies met the eligibility criteria. Twelve were quantitative while two were qualitative. Studies were independently appraised by two researchers using checklists from the Centre for Evidence-Based Management.<b> Results:</b> Meta-analysis explored the prevalence of different information sources reported with friends being the highest (44%, 95% CI: [0.35, 0.54]) followed by relatives (35%, 95% CI: [0.22, 0.50]) with medical providers being sources of information for only 30% of participants (95% CI: [0.15, 0.50]).<b> Conclusion:</b> Information regarding menopause among African women emanated primarily from friends and relatives, suggesting that women perceive menopause as a natural process whereby information is the best gleaned from informal sources. However, health care should aim to increase public awareness of menopause education and strengthen efforts to provide accurate, timely and helpful information for women and their friends and families.  
 
</p></abstract><kwd-group><kwd>African Countries</kwd><kwd> Identify and Analyse</kwd><kwd> Information Sources</kwd><kwd> Menopausal Symptoms</kwd><kwd> Systematic Review</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>1) What is already known about the topic?</p><p>a) Sources of menopausal information are underexplored in the African region.</p><p>b) Information sources are consulted by menopausal women in the African region, but there is little information on the preferred sources of such information for the management of menopausal symptoms.</p><p>2) What this paper adds</p><p>a) Our systematic review and meta-analysis identified only fourteen eligible papers from the five African countries that were involved in the research on information sources consulted by menopausal women in the African region during 2000-2017.</p><p>b) Meta-analysis revealed six preferred information sources, with friends as the most frequently reported source of menopause information, followed by relatives; medical providers; television and radio; books, magazines, journals; and religious sources being the lowest.</p><sec id="s1_1"><title>1.1. Background</title><p>Despite an abundance of information regarding menopausal women in western society, African women have been almost overlooked in menopausal research [<xref ref-type="bibr" rid="scirp.85050-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref2">2</xref>] . In most African states, research on menopause and how its symptoms are understood and dealt with in public policy and public health education is minimal [<xref ref-type="bibr" rid="scirp.85050-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref3">3</xref>] . Several studies conducted in the African region confirm that awareness of information about menopause in African women was low [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref8">8</xref>] .</p><p>Additionally, issues of menopause such as sources of information are under explored [<xref ref-type="bibr" rid="scirp.85050-ref9">9</xref>] . However, inexperience and inadequate health-related knowledge on menopause negatively affects understanding and coping with menopause and related symptoms. Equally, African menopausal women need support systems from all relevant stakeholders, including health care providers, family and society to effectively manage menopause [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref6">6</xref>] . Hence, it is important to determine where women in Africa obtain information about menopause [<xref ref-type="bibr" rid="scirp.85050-ref10">10</xref>] .</p></sec><sec id="s1_2"><title>1.2. The Purpose of the Review</title><p>This systematic review aimed at identifying and analysing information sources consulted by menopausal women in the African region regarding the management of menopausal symptoms. The goal was to enable medical/health service providers to provide their clients with correct information from reliable sources and empower menopausal women to alleviate suffering during menopause. Furthermore, evidence from this review will allow policy makers, such as the ministry of health to devise appropriate interventions that will enable all women, particularly menopausal women, to receive correct information.</p><p>The specific objectives of this systematic literature review were to: review relevant African studies since 2000 to date, regarding the sources of information in the management of menopausal symptoms among pre-, peri-, menopause-, and post-menopausal women aged 35 - 90; assess the validity of the findings of the included studies and systematically analyse the relevance of information sources across the African region.</p></sec></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Definitions</title><p>1) Menopause</p><p>Menopause is characterised by absence of menstrual period for 12 consecutive months without biological or physiological cause [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref12">12</xref>] . Such absence of menstrual period signifies the end of fertility and childbearing years [<xref ref-type="bibr" rid="scirp.85050-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref11">11</xref>] . The end of fertility in a woman’s life is characterised by several symptoms brought about by decreased hormonal activity [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] . The most common symptoms associated with menopause are hot flashes, decreased libido, vaginal dryness, insomnia, and bone or joint disorders [<xref ref-type="bibr" rid="scirp.85050-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref16">16</xref>] .</p><p>2) Pre-menopause:</p><p>Pre-menopause is the stage that leads up to peri-menopause. This stage affects most women in their late thirties and early forties. During this period, women are still menstruating regularly, but the estrogen and progesterone levels may begin to change [<xref ref-type="bibr" rid="scirp.85050-ref17">17</xref>] .</p><p>3) Peri-menopause</p><p>Peri-menopause is the stage that occurs before menopause. At this stage, women have a significant drop in estrogen levels, which signifies the end of fertility in a woman’s life, coupled by some troublesome symptoms, such as hot flashes, vaginal dryness and slowed metabolism. During this stage, the menstrual period becomes irregular, and women may experience missed periods, shorter menstrual cycles or suffer from longer cycles [<xref ref-type="bibr" rid="scirp.85050-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref18">18</xref>] .</p><p>4) Post-menopause</p><p>Post-menopause refers to the time after a woman’s menstrual periods have ceased for 12 consecutive months. During the postmenopausal stage, many troublesome symptoms a woman may have experienced during peri-menopause gradually decrease [<xref ref-type="bibr" rid="scirp.85050-ref19">19</xref>] .</p></sec><sec id="s2_2"><title>2.2. Methods</title><sec id="s2_2_1"><title>2.2.1. Review Question</title><p>A systematic review of the literature was conducted to answer the following question:</p><p>What information sources are consulted by pre-, peri-, menopause-, and post-menopausal women between ages 35 - 90 in the African region in the management of menopausal symptoms since 2000 according to literature obtained from Embase (OVID), Google Scholar, MEDLINE (OVID), MEDLINE in Process (OVID), Pub Med, Scopus plus African specific databases: https://www.africabib.org/, African Index Medicus; http://indexmedicus.afro.who.int/, and African Journals Online (AJOL) https://www.ajol.info/. This review was registered on 12 May 2017 in PROSPERO; the international prospective register of systematic reviews as: PROSPERO 2017 CRD42017065866 and is available from http://www.crd.york.ac.uk/PROSPERO/display_record.phd?ID=CRD42017065866</p></sec><sec id="s2_2_2"><title>2.2.2. Design</title><p>A systematic literature review was conducted according to the PRISMA statement and guidelines [<xref ref-type="bibr" rid="scirp.85050-ref20">20</xref>] .</p><p>1) Search strategy</p><p>Six databases were searched in April 2017: PubMed, BioMed Central, Embase, Google Scholar, Medline and Medline in Process and Scopus.</p><p>2) Search terms</p><p>The search strategy was designed in PubMed. In brief this comprised a combination of three sets of search terms:</p><p>Menopaus* [in title or abstract] OR Menopause as a Medical Subject Heading</p><p>AND</p><p>(Information OR experience* OR perception* OR health seeking behav* OR knowledge) [In title or abstract] OR Information Seeking Behavior as a Medical Subject Heading</p><p>AND</p><p>A search filter of title/abstract terms to identify research carried out in Africa OR Africa as a Medical Subject Heading</p><p>Following testing for its ability to identify known relevant studies, the search was then adapted and run in the following additional databases: Embase (OVID), Google Scholar, Medline (OVID), Medline in Process (OVID), Scopus, www.Africabib.org, African Index Medicus; http://indexmedicus.afro.who.int/, and African Journals Online (AJOL) https://www.ajol.info/ in April 2017. The databases were chosen to provide good coverage of the African healthcare literature by including both the major global and Africa-specific resources. Complete search strategies, including combinations of text words (from title/abstract) and indexer-provided subject headings (where available), are listed in Appendix 1.</p><p>Supplementary searching was also employed: reference lists of included studies were checked for additional studies; citation tracking was used to identify more recent publications; authors of included publications were contacted to ask about unpublished and in-press studies.</p></sec></sec><sec id="s2_3"><title>2.3. Inclusion and Exclusion Criteria</title><p>To assure modern-day relevance, this study was limited to literature published from January 2000 to April 2017, when searches were completed. As this review aimed at identifying and analysing the information sources consulted by menopausal women in the Africa region, only studies that incorporated women from the African region were included. Pre-, peri-, menopause-, and post-menopausal women between ages 35 - 90 were included in this review. Complete inclusion and exclusion criteria are described in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s2_4"><title>2.4. Data Selection</title><p>The results of all database searches were imported into Reference Manager 12 http://www.adeptscience.co.uk/products/refman/reference and duplicates removed. Records potentially meeting the inclusion criteria were screened by two researchers, independently, first at title/abstract stage then at full text stage. Additional studies obtained from cross referencing and reviews met the inclusion criteria and were included in the full text review. Data were then independently coded by two researchers based on the sources of information used by the menopausal women.</p><sec id="s2_4_1"><title>2.4.1. Quality Assessment</title><p>Two researchers firstly independently reviewed different appraisal tools and then agreed on the Center for Evidence-Based Management (CEBMa) critical appraisal tools, designed for qualitative and cross-sectional studies</p><p>(https://www.cebma.org/resources-and-tools/what-is-critical-appraisal). The CEBMa critical appraisal tools have 10 (qualitative) and 12 (quantitative) yes/no questions depending on the type of study to help guide the assessment of the quality of the literature being critiqued. Quantitative studies were critiqued,</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Inclusion and exclusion criteria for the review</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Population</th><th align="center" valign="middle" >Menopausal women in Africa. These were all women who were experiencing amenorrhoea for 12 consecutive months and above without biological or physiological cause. Pre-menopause: Refers to the stage that leads up to peri-menopause. This stage affects most women in their late thirties and early forties. Peri-menopause: Peri-menopause is the stage that occurs before menopause. During this stage, the menstrual period becomes irregular, which signifies the end of fertility in woman’s life, coupled by some troublesome symptoms. Post-menopause: Refers to the time after a woman’s menstrual periods have ceased for 12 consecutive months. During postmenopausal stage, many troublesome symptoms a woman may have experienced during peri- menopause gradually decrease.</th></tr></thead><tr><td align="center" valign="middle" >Exploration</td><td align="center" valign="middle" >Use of information sources to understand and manage signs and symptoms. [Information refers to knowledge communicated or received concerning a particular fact or circumstances]</td></tr><tr><td align="center" valign="middle" >Outcomes</td><td align="center" valign="middle" >1) Hot flashes 2) Sexual function 3) All other menopause related signs and symptoms</td></tr><tr><td align="center" valign="middle" >Limits</td><td align="center" valign="middle" >1) Include publications since 2000 published in the African region 2) Exclude papers that discuss a lack of knowledge/information in general but with no description of information sources used.</td></tr></tbody></table></table-wrap><p>based on the following criteria: focused question, study design, selection of participants, selection bias, representativeness, sample size by power calculation, response rate, question reliability, statistical significance, confidence intervals, confounders, relevance to African population, while qualitative studies were critiqued on: focused question, study design, study context, fieldwork, evidence inspected, procedure reliability, analysis reliability, results credibility, conclusions justified, findings transferable. (See comments in <xref ref-type="table" rid="table2">Table 2</xref>) Thereafter, eligible studies (14) were independently appraised by two researchers. The researchers had one Skype call and one in-person meeting and discussed appraised articles. Two disagreements in the scores were discussed until consensus was reached.</p></sec><sec id="s2_4_2"><title>2.4.2. Data Extraction</title><p>Tables were used to extract author name, year of publication, country of origin, aim of study, study design, sample characteristics, data collection instruments and data collection procedure, results and limitations identified via the quality assessment process, as shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p></sec></sec><sec id="s2_5"><title>2.5. Analysis</title><p>Prevalence information was pooled with random effects meta-analysis where appropriate. Results are presented with the associated fixed effect estimates and 95% confidence interval as well as the i-square statistic. All analysis was conducted using the R programming language and environment implementing the meta and metafor packages [<xref ref-type="bibr" rid="scirp.85050-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref23">23</xref>] .</p></sec></sec><sec id="s3"><title>3. Results</title><p>Our initial search yielded 794 studies (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Twelve additional studies were</p><p>identified from cross referencing and reviews. After 443 duplicates were deleted from the initial search, the remaining 351 studies together with the twelve records through other sources were then imported into Reference Manager 12. Three hundred and thirty (330) studies were excluded because they were conducted primarily among African American menopausal women in America. The 21 full text review records plus the twelve additional records were retained. Thirty three full-text articles were assessed for eligibility (Appendix 2), and 19 records excluded, with reasons including: not providing sources of information, HIV related, not a study of women’s views, or an educational interventional study. The eligibility criteria were then reapplied to the remaining 14 full texts for thematic synthesis to illustrate the key information sources, used by menopausal women in the African region. Of the 14 reviewed studies, 12 employed quantitative and 2 qualitative approaches. Resultant studies are summarised in <xref ref-type="table" rid="table2">Table 2</xref>.</p><sec id="s3_1"><title>3.1. Reporting</title><p>The majority of the studies (12) employed a quantitative cross-sectional design: two (2) studies were qualitative in nature. The information from the cross-sectional studies was collected with structured questionnaires, using close and open ended questions, while interviews were used for qualitative studies. Response rates were between 75-100%. The fourteen eligible studies reporting on the information sources used by menopausal women in the African region were from Nigeria (7), South Africa (3), Ethiopia (2), Namibia (1) and Ghana (1). Meta-analysis was conducted to pool the prevalence of six different information sources: friends, relatives, medical providers, books/magazines/journals, TV/radio and religious sources.</p><p>Friends were the most frequently reported source of menopause information with a point prevalence estimate of 0.44 (95% CI: [0.35, 0.54], number of studies = 7), followed by relatives with a point prevalence estimate of 0.35 (95% CI: [0.22, 0.50], number of studies = 5). Medical providers were next, prevalence 0.30 (95% CI: [0.15, 0.50], number of studies = 9), followed by TV and radio, prevalence 0.20 (95% CI: [0.06, 0.48] number of studies = 5), then books, magazines, journals prevalence 0.19 (95% CI: [0.10, 0.33], number of studies = 9), with religious sources being the lowest, prevalence 0.06 (95% CI: [0.02, 0.14], number of studies = 5). It must be noted however that all of the above analyses exhibited high levels of heterogeneity (i<sup>2</sup> all above 94%).</p></sec><sec id="s3_2"><title>3.2. Quality Assessment</title><p>Fourteen studies were appraised. Each of the critiqued studies had 10 - 12 components needed to constitute a strong study, out of 10 - 12 possible criteria (see <xref ref-type="table" rid="table2">Table 2</xref>). According to the results of the critical appraisals, studies were overall of good quality. Survey instruments were rarely piloted or validated however, and studies did not generally assess statistical significance intervals because these studies were mostly addressing perceptions, attitudes and or behaviour of the</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of quality assessment based on CEBMa tools</title></caption><table-wrap id="2_1"><caption><title> (b)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Summary of appraised quantitative papers (n = 12)</th><th align="center" valign="middle" >Number of studies meeting this criteria n = 12 total studies (%)</th></tr></thead><tr><td align="center" valign="middle" >Clearly described:</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Focused question:</td><td align="center" valign="middle" >12 (100)</td></tr><tr><td align="center" valign="middle" >Study design</td><td align="center" valign="middle" >12 (100)</td></tr><tr><td align="center" valign="middle" >Selection described:</td><td align="center" valign="middle" >10 (83%)</td></tr><tr><td align="center" valign="middle" >Low risk of selection bias Low risk: 8 papers</td><td align="center" valign="middle" >8 (67%)</td></tr><tr><td align="center" valign="middle" >Representative of group indicated: 6 papers</td><td align="center" valign="middle" >6 (50%)</td></tr><tr><td align="center" valign="middle" >Appropriate sample size by Power Statistical Power indicated: 2 papers</td><td align="center" valign="middle" >2 (17%)</td></tr><tr><td align="center" valign="middle" >Response rate ≥ 70% More than 70%: 6 papers</td><td align="center" valign="middle" >6 (50%)</td></tr><tr><td align="center" valign="middle" >Reliable measurement Reliable:8 papers</td><td align="center" valign="middle" >8 (67%)</td></tr><tr><td align="center" valign="middle" >Statistical significance Not assessed in all (12) papers</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Confidence intervals Not provided: in all 12 papers</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >No other confounders Confounders not obvious in all 12 papers</td><td align="center" valign="middle" >12 (100%)</td></tr><tr><td align="center" valign="middle" >Relevance to African population Relevant: 9 papers</td><td align="center" valign="middle" >9 (75%)</td></tr></tbody></table></table-wrap><table-wrap id="2_2"><caption><title></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Summary of appraised qualitative papers (n = 2)</th><th align="center" valign="middle" >Number of studies meeting this criteria n = 10 total studies (%)</th></tr></thead><tr><td align="center" valign="middle" >Clearly described:</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Focused question:</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Study design</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Study context</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Fieldwork</td><td align="center" valign="middle" >1 (50%)</td></tr><tr><td align="center" valign="middle" >Evidence inspected</td><td align="center" valign="middle" >1 (50%)</td></tr><tr><td align="center" valign="middle" >Procedure reliability</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Analysis reliability</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Results credibility</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Conclusions justified</td><td align="center" valign="middle" >2 (100%)</td></tr><tr><td align="center" valign="middle" >Findings transferable.</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap></table-wrap-group><p>African menopausal women.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This review synthesised the data regarding information sources consulted by</p><table-wrap-group id="3"><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Included studies and data extraction</title></caption><table-wrap id="3_1"><table><tbody><thead><tr><th align="center" valign="middle" >Study details</th><th align="center" valign="middle" >Population &amp; setting</th><th align="center" valign="middle" >Methods</th><th align="center" valign="middle" >Results: Information sources consulted</th><th align="center" valign="middle" >Limitations</th></tr></thead><tr><td align="center" valign="middle" >First author and year: Anolue, 2012 Study design: Quantitative - Questionnaire Objective: To document women’s experience of menopause in rural communities and compare this with urban centres</td><td align="center" valign="middle" >Setting: Nigeria Participants: N = 349. Mean age 58 years How recruited: Random selection from 13 autonomous rural communities When: August 2009 Inclusion criteria: Menopausal women with at least 12 months amenorrhoea. All participants from a certain ethnic group</td><td align="center" valign="middle" >Tools and data collection: Questionnaire Analysis: SPSS software. Chi-square test</td><td align="center" valign="middle" >Peers = 51.3% Parents = 28.9% Others = 12.0% Church group = 7.7%</td><td align="center" valign="middle" >Total population from where the sample was drawn not indicated Tools not validated Design not indicated No exclusion criteria Missing data (p.32) not accounted for</td></tr><tr><td align="center" valign="middle" >First author and year: Bello, 2016 Study design: Quantitative - Questionnaire Objective: To determine level of awareness and perceptions about menopause and sex in peri-menopausal women</td><td align="center" valign="middle" >Setting: Nigeria, Family Medicine Department in Ibadan hospital Participants: N = 352. Aged ≥ 40 years (mean 46.3). How recruited: Not described When: Not stated Inclusion criteria: Peri-menopausal women. Menopausal and post-menopausal women (12 months or more amenorrhoea) excluded</td><td align="center" valign="middle" >Tools and data collection: Structured questionnaire Analysis: SPSS software. Chi-square test</td><td align="center" valign="middle" >Friends &amp; Peers = 45.7% Health care providers = 17.0% Aunts &amp; older sisters = 15.1% Doctors = 13.6% TV/Radio = 12.2% Books &amp; other print media = 12.2% Others = 1.4%</td><td align="center" valign="middle" >Data collection tools not subjected to validity and reliability test Data collection period not indicated Selection method not indicated Total population not described</td></tr><tr><td align="center" valign="middle" >First author and year: Dienye, 2013 Study design: Quantitative - Questionnaire Objective: To determine frequency &amp; severity of menopausal symptoms and health seeking behavior of women with menopausal symptoms</td><td align="center" valign="middle" >Setting: Nigeria, Port Harcourt Teaching Hospital Participants: N = 385. Aged 35-95 years (mean 58.4) How recruited: Consecutive recruitment at clinic until pre-specified sample size reached When: July-September 2010 Inclusion criteria: Postmenopausal women with at least 12 months amenorrhoea</td><td align="center" valign="middle" >Tools and data collection: Questionnaire results recorded in Microsoft Office Excel Analysis: Epi Info software</td><td align="center" valign="middle" >Patent drug dealers = 51.4% Health workers = 44.7% Nothing = 26.5% Religious leaders = 20.3% Traditional healers = 3.8%</td><td align="center" valign="middle" >Validity of tools not measured Missing data was not accounted for</td></tr><tr><td align="center" valign="middle" >First author and year: Eshetu, 2015 Study design: Quantitative - Questionnaire Objective: To assess level of knowledge and attitude of women aged 30 - 49 yrs</td><td align="center" valign="middle" >Setting: Ethiopia, Addis Ababa Participants: N = 599 (586 correctly completed). Aged 30 - 49 years (mean 37) How recruited: Multi-stage random sampling from community until pre-specified sample size reached When: April-May 2015 Inclusion criteria: Age, permanent residency, consent</td><td align="center" valign="middle" >Tools and data collection: Questionnaire Analysis: SPSS software. Logistic regression.</td><td align="center" valign="middle" >Friend = 37.7% Relatives = 31.7% Medical care providers = 20.8% Books, Magazines, Journals = 14.8% Mass media (Radio, TV) = 14.7% Educational sessions = 7.0% Community Elder = 1.4%</td><td align="center" valign="middle" >Validity of tools not indicated</td></tr></tbody></table></table-wrap><table-wrap id="3_2"><table><tbody><thead><tr><th align="center" valign="middle" >First author and year: Hofnie-//Ho&#235;bes, 2009 Study design: Mixed methods - Quantitative (questionnaire) and qualitative (open ended interviews) Objective: To determine where and what information is available regarding menopause and from where it is obtained</th><th align="center" valign="middle" >Setting: Namibia, urban and rural locations Participants: N = 1079 How recruited: Multi-stage cluster sampling from community When: March-April 2008 Inclusion criteria: Pre-menopausal, peri-menopausal and menopausal women</th><th align="center" valign="middle" >Tools and data collection: Questionnaire and open-ended interviews with a guide Analysis: SPSS software. Pearson chi-square test. Descriptive documentation of focus group discussion</th><th align="center" valign="middle" >Significant others = 55% Health care workers = 12% Other = 14% Books = 13% TV = 3% Church = 2% Internet = 1%</th><th align="center" valign="middle" >Validity and reliability of tools not clear</th></tr></thead><tr><td align="center" valign="middle" >First author and year: Ibraheem, 2015 Study design: Mixed methods - Quantitative (questionnaire) and qualitative (focus groups) Objective: To determine menopausal experiences and perceptions of women</td><td align="center" valign="middle" >Setting: Nigeria Participants: N = 240. Aged 46 - 69 years (mean 56.9) How recruited: Multi-stage random sampling from list of local government areas When: April 2008 Inclusion criteria: Age, amenorrhoea for 12 months &amp; above, member of community &amp; voluntary verbal consent</td><td align="center" valign="middle" >Tools and data collection: Piloted guide for focus group discussions with results informing semi-structured questionnaires. Cronbach’s Alpha for instrument 0.745 Analysis: Chi-square and descriptive for quantitative data. Content analysis for focus groups.</td><td align="center" valign="middle" >Mother, sister, aunt or friend = 58.8% Electronic &amp; print media = 8.9% Health care provider = 4.9% Religious leaders = 3.0%</td><td align="center" valign="middle" >No exclusion criteria</td></tr><tr><td align="center" valign="middle" >First author and year: Ikeme, 2011 Study design: Quantitative - Questionnaire Objective: To determine knowledge and perceptions of menopause and climacteric symptoms</td><td align="center" valign="middle" >Setting: Nigeria Participants: N = 432. Aged 45 - 60 How recruited: Random selection When: Not stated Inclusion criteria: Not described</td><td align="center" valign="middle" >Tools and data collection: Self-administered structured questionnaire Analysis: SPSS software. Descriptive statistics with cross tabulations.</td><td align="center" valign="middle" >No comment = 44.4% Gynaecology clinic = 22.2% Self prayers = 13.9% Medical clinic in hospital = 11.1% Native doctor = 2.8% Clinic and priest and self prayer = 2.8% Medical clinic and priest = 2.8%</td><td align="center" valign="middle" >Menopausal status not indicated Data collection tools not subjected to validity and reliability test Data collection period not indicated Total population not described Cross-tabs indicated in methods, but not seen in data analysis</td></tr><tr><td align="center" valign="middle" >First author and year: Maharaj, 2007 Study design: Quantitative - Questionnaire Objective: To assess whether women in an under-resourced country have adequate knowledge of the menopause/HRT to engage in patient-provider discussions and utilised in full informed consent for HRT</td><td align="center" valign="middle" >Setting: South Africa, Durban Participants: N = 150 (complete data and included = 139). Aged 18 - 40 years (mean 31) How recruited: Not stated When: Not stated Inclusion criteria: Past and present users of HRT aged ≥ 40 years.</td><td align="center" valign="middle" >Tools and data collection: Questionnaire Analysis: ANOVA chi-square</td><td align="center" valign="middle" >Family = 52.5% Friends = 44.6% Media = 41.7% GPs = 14.4% Clinic: 11.5% Hospital = 9.4%</td><td align="center" valign="middle" >Sample not proportional Design not indicated Aim too broad Tools not subjected to reliability test Initial inclusion of teenagers was inadequate</td></tr></tbody></table></table-wrap><table-wrap id="3_3"><table><tbody><thead><tr><th align="center" valign="middle" >First author and year: Odiari, 2012 Study design: Qualitative - Interviews Objective: To investigate how women in low resource setting manage menopausal symptoms without HRT</th><th align="center" valign="middle" >Setting: Ghana, Accra regional hospital Participants: N = 34 (meeting criteria from 82 considered). Mean age 58 years How recruited: Purposive sampling from clinic with random approach for inclusion When: Not stated Inclusion criteria: Had experienced natural menopause. No history of cardiac disease or arthritis before menopause. Conversant in English or Ghanaian languages</th><th align="center" valign="middle" >Tools and data collection: Semi-structured interview guide. Data collection suspended when data saturation was reached Analysis: NVivo 8 software. Chi-square test. Content analysis.</th><th align="center" valign="middle" >People who previously experienced menopause (Friends, colleagues or family) = 55.9% Health care providers/media/books/ church meetings = 44.1%</th><th align="center" valign="middle" >No exclusion criteria Random sampling process unclear Not clear whether two researchers were involved in data analysis</th></tr></thead><tr><td align="center" valign="middle" >First author and year: Osinovo, 2003 Study design: Quantitative - Questionnaire Objective: To investigate factors associated with attitude towards sex-role, self-image &amp; marital satisfaction on psychological health status, perception of menopause and sexual satisfaction</td><td align="center" valign="middle" >Setting: Nigeria, Urban Participants: N = 45. Aged 36 - 70 years (mean 51.4) How recruited: Purposive sampling from women attending a seminar on aging When: Not stated Inclusion criteria: Non-menopausal and menopausal</td><td align="center" valign="middle" >Tools and data collection: Piloted questionnaire Analysis: SPSS software. Coefficient alpha: 0.94. Descriptive stats</td><td align="center" valign="middle" >Not stated = 36% Health institutions: = 22% Books = 11% Doctors = 7% Books/Health workers = 7% Friends = 4% Books/friends/relatives= 4% Books/Friends/Doctors= 4% Professional experience = 2% Sex education = 2%</td><td align="center" valign="middle" >Not clear how many questionnaires were distributed in total</td></tr><tr><td align="center" valign="middle" >First author and year: Ramakeula, 2015 Study design: Qualitative - Focus groups Objective: To explore and describe women, menopause and aging in rural villages</td><td align="center" valign="middle" >Setting: South Africa, rural Participants: N = 24 to 32 (not specified). Aged 45 and over. How recruited: Purposive sampling in four villages When: Not stated Inclusion criteria: Pre-, peri- and post-menopausal women</td><td align="center" valign="middle" >Tools and data collection: Four focus groups (6 - 8 women per group) Analysis: Tesch’s open coding. Clustered into themes and sub-themes.</td><td align="center" valign="middle" >Informed by nurse at a church conference</td><td align="center" valign="middle" >Data collection period not indicated Not indicated if two researchers were involved in data analysis</td></tr><tr><td align="center" valign="middle" >First author and year: Saka, 2011 Study design: Quantitative - Questionnaire Objective: To assess the perceived cause, expectation, knowledge and sources of health information, women’s knowledge and adjustment behaviour towards menopause.</td><td align="center" valign="middle" >Setting: Nigeria, Ilorin Participants: N = 400 (396 providing information on sources used). Aged 40 years and over How recruited: Multi-stage random sampling When: Not stated Inclusion criteria: Menopausal women with 12 months amenorrhoea</td><td align="center" valign="middle" >Tools and data collection: Semi-structured questionnaire translated from English to other languages as required Analysis: EpiInfo software. Means and frequencies. Chi-square test.</td><td align="center" valign="middle" >Friends = 38.6% Relatives = 28.0% Group meeting &amp; religious home = 12.6% Health workers = 9.6% Books/news papers/magazines/mass media = 7.1% Others = 4.0%</td><td align="center" valign="middle" >Data collection period not indicated Validity and reliability of tools not indicated</td></tr></tbody></table></table-wrap><table-wrap id="3_4"><table><tbody><thead><tr><th align="center" valign="middle" >First author and year: Smith, 2009 Study design: Quantitative - Questionnaire Objective: To evaluate current patient perspectives on the menopausal period in South Africa</th><th align="center" valign="middle" >Setting: South Africa, private specialist practice in Tygerberg Participants: N = 410 (541 distributed, 421 returned, 410 used). Aged 37 - 88 years (mean 59.9) How recruited: Purposive sampling When: Jan-July 2003 Inclusion criteria: All known patients with established post-menopausal status using hormone therapy</th><th align="center" valign="middle" >Tools and data collection: Postal questionnaire Analysis: SPSS software. Means (standard deviations)</th><th align="center" valign="middle" >Gynaecologists = 87.2% GPs = 28.3% Print &amp; electronic media = 38.3%</th><th align="center" valign="middle" >Data collection tools not subjected to validity and reliability test Single private practice included but total population of private practices unknown</th></tr></thead><tr><td align="center" valign="middle" >First author and year: Tsehay, 2014 Study design: Quantitative - Questionnaire Objective: To examine middle aged women’s experience and attitudes towards menopausal symptoms</td><td align="center" valign="middle" >Setting: Ethiopia, Danglia Town Participants: N = 263 pre- and post-menopausal women. 35 - 70 years (mean 46.7) How recruited: Purposive random sampling. When: Not stated Inclusion criteria: Women’s menstrual status</td><td align="center" valign="middle" >Tools and data collection: 1) Semi -Structured questionnaires 2) Piloted 3) Interviews 4) Questionnaires assessed by experts for content &amp; Cronbach’s Alpha: = 0.87 for symptoms and 0.79 for attitudes Analysis: SPSS software. P value = 0.05</td><td align="center" valign="middle" >Friends = 70.8% Medical care providers = 68.8% Books, magazines, journals = 66.7% Relatives = 56.3% Educational sessions = 43.8% Community Elders = 22.9%</td><td align="center" valign="middle" >Data collection period not indicated Ethical considerations not indicated</td></tr></tbody></table></table-wrap></table-wrap-group><p>menopausal women in the African region. The available literature was of high quality, despite the heterogeneity of the methodologies and sample characteristics and assessment tools.</p><p>Based on the findings and consistent with previous reports [<xref ref-type="bibr" rid="scirp.85050-ref24">24</xref>] , African menopausal women are more likely to learn about the menopause from their friends and relatives, rather than from professional assistance. Religious sources were the lowest of all that were consulted by women in the African region about the menopause.</p><p>The meta-analyses revealed high heterogeneity indicating that it is unlikely that the studies were all measuring the same quantities in exactly the same way. This is perhaps unsurprising given the wide geographical area covered by this study, encompassing many different cultures. The results must therefore be interpreted carefully.</p><p>Although women experience menopause in a universal manner due to decline in ovarian function leading to different menopausal symptoms, the actual experiences of the most common symptoms such as hot flushes, night sweats and low libido are individual [<xref ref-type="bibr" rid="scirp.85050-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref26">26</xref>] . Menopausal women may also experience challenges such as: anxiety, poor-self-image, low self-esteem, sleeplessness, panic [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] , due to the multidimensional nature of menopause, which is influenced by biological, psychological, social and cultural dimensions [<xref ref-type="bibr" rid="scirp.85050-ref5">5</xref>] . Therefore, lack of professional awareness may contribute to silent suffering of menopausal women [<xref ref-type="bibr" rid="scirp.85050-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref4">4</xref>] . This is particularly true in the majority of African states where discussion of reproductive health issues are considered taboo, private and sensitive and therefore not easily shared amongst others [<xref ref-type="bibr" rid="scirp.85050-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref27">27</xref>] .</p><p>It is equally desirable that women have access to information on the menopause from health care providers regarding current treatment options [<xref ref-type="bibr" rid="scirp.85050-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.85050-ref30">30</xref>] and associated risks and benefits of menopause. Medical professionals are best placed to provide menopausal women with individualised care to improve quality of life. Regarding some common menopausal symptoms, such as reduced sexual functioning, health care workers should advise women that pharmacological and non-pharmacological therapies are available to treat atrophic vaginitis and relieve pain during intercourse [<xref ref-type="bibr" rid="scirp.85050-ref28">28</xref>] . With over three quarters of women not citing medical professionals as an information source there is clearly room for improvement.</p><p>Given how many women access menopause information through friends and relatives, it may be helpful for health care providers to design special programmes to inform them about menopause; as partners or family members, men also may benefit from education as they experience menopausal symptoms alongside these women without prior knowledge or understanding. Such awareness will help family and friends to be sensitive to menopausal women during this period and provide adequate support [<xref ref-type="bibr" rid="scirp.85050-ref31">31</xref>] . The public health systems should also mobilise adequate resources to improve the awareness and knowledge of the women about menopause and menopausal symptoms to promote active and healthy living during the period of menopause [<xref ref-type="bibr" rid="scirp.85050-ref32">32</xref>] . Moreover, clinical research regarding menopause and understanding of menopausal symptoms should be done in the African region to guide public health policy and education.</p></sec><sec id="s5"><title>5. Limitations</title><p>Although a comprehensive search was undertaken, we cannot guarantee that all relevant research studies were identified. All the papers that discussed lack of knowledge/information in general but with no description of information sources were excluded. These criteria might have limited the scope of available literature on the information sources in the African region.</p></sec><sec id="s6"><title>6. Conclusion</title><p>Women in African countries experiencing menopause are more likely to have gained information about their condition from friends and relatives than from health professionals. Consequently, while relatives and friends might support them during this uncertain period, there is a clear opportunity for medical professionals to play a greater role in the education of women experiencing the menopause.</p></sec><sec id="s7"><title>Acknowledgements</title><p>Special thanks are extended to Writing to Improve Nursing Science (WINS) Program (Columbia University, School of Nursing) who provided us with fundamental information throughout the course of this paper, with special reference to Dr Carolyn Sun (Associate Research Scientist), who mentored this review. We also acknowledge the support of the Phoenix Project (a University of Namibia and Cardiff University partnership, led by Professor Judith Hall) for this international collaboration.</p></sec><sec id="s8"><title>Ethical Approval</title><p>As this was a review of existing literature, no ethical approval was required.</p></sec><sec id="s9"><title>Cite this paper</title><p>Hofnie-Ho&#235;bes, K., Weightman, A., Shatona, M. and Kelson, M. (2018) Information Sources Consulted by Women in African Countries to Manage Menopausal Symptoms: A Systematic Review and Meta-Analysis. Open Journal of Nursing, 8, 317-338. https://doi.org/10.4236/ojn.2018.85027</p></sec><sec id="s10"><title>Annexures</title><p>Appendix 1: Search Strategies</p><p>PubMed 7 April 2017 259 hits</p><p>Search strategy:</p><p>Menopaus*: as a text word (ie word in title or abstract) OR Menopause: as a MeSH term (including all more narrow terms).</p><p>AND</p><p>(Information OR experience* OR perception* OR health seeking behave* OR knowledge): as a text word OR Information Seeking Behaviour: as a MeSH term (there are no more narrow terms).</p><p>AND</p><p>(Africa* OR Algeria OR Angola OR Benin OR Botswana OR “Burkina Faso” OR Burundi OR Cameroon OR “Canary Islands” OR “Cape Verde” OR “Central African Republic” OR Chad OR Comoros OR Congo OR “Democratic Republic of Congo” OR Djibouti OR Egypt OR “Equatorial Guinea” OR Eritrea OR Ethiopia OR Gabon OR Gambia OR Ghana OR Guinea OR “Guinea Bissau” OR “Ivory Coast” OR “Cote d’Ivoire” OR Jamahiriya OR Jamahiryia OR Kenya OR Lesotho OR Liberia OR Libya OR Libia OR Madagascar OR Malawi OR Mali OR Mauritania OR Mauritius OR Mayote OR Morocco OR Mozambique OR Mocambique OR Namibia OR Niger OR Nigeria OR Principe OR Reunion OR Rwanda OR “Sao Tome” OR Senegal OR Seychelles OR “Sierra Leone” OR Somalia OR “South Africa” OR “St Helena” OR Sudan OR Swaziland OR Tanzania OR Togo OR Tunisia OR Uganda OR “Western Sahara” OR Zaire OR Zambia OR Zimbabwe OR “Central Africa” OR “Central African” OR “West Africa” OR “West African” OR “Western Africa” OR “Western African” OR “East Africa” OR “East African” OR “Eastern Africa” OR “Eastern African” OR “North Africa” OR “North African” OR “Northern Africa” OR “Northern African” OR “South African” OR “Southern Africa” OR “Southern African” OR “sub Saharan Africa” OR “sub Saharan African” OR “subSaharan Africa” OR “subSaharan African”): as text words</p><p>OR Africa: as a MeSH term (there are no more narrow terms)</p><p>=======================================================</p><p>BioMed Central 19 April 2017 85 hits.</p><p>Menopause AND information seeking AND (South Africa* OR Namibia*)</p><p>As text words</p><p>Sorted by “relevance” and browsed for studies since 2000. No relevant studies.</p><p>=======================================================</p><p>Continent specific databases: 7 April 2017.Search strategy: Search for menopaus* in the title. One additional hit, not identified in other databases (Saka 2011)</p><p>https://www.africabib.org/</p><p>African Index Medicus; http://indexmedicus.afro.who.int/</p><p>African Journals Online (AJOL) https://www.ajol.info/ =======================================================</p><p>Embase 19 April 2017 250 hits.</p><p>Database(s): EMBASE 1947-Present [OVID] Search Strategy:</p><p>Key to terms used:</p><p>/ = indexer-provided subject heading</p><p>kw = author keyword</p><p>tw = word in the title or abstract</p><p>Database(s): Ovid MEDLINE(R) without Revisions 1996 to April Week 1 2017, Ovid MEDLINE(R) In-Process &amp; Other Non-Indexed Citations April 18, 2017 Search Strategy:</p><p>Key to terms used:</p><p>/ =indexer-provided subject heading</p><p>kw = author keyword</p><p>tw = word in the title or abstract</p><p>=====================================================</p><p>Scopus 19 April 2017 54 hits.</p><p>(TITLE-ABS-KEY (menopaus*)) AND (TITLE-ABS-KEY (information OR experience* OR perception* OR health AND seeking AND behave* OR knowledge))</p><p>Appendix 2: PRISMA 2009 CHECKLIST</p><disp-formula id="scirp.85050-formula1"><graphic  xlink:href="//html.scirp.org/file/4-1440991x3.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.85050-formula2"><graphic  xlink:href="//html.scirp.org/file/4-1440991x4.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.85050-formula3"><graphic  xlink:href="//html.scirp.org/file/4-1440991x5.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.85050-formula4"><graphic  xlink:href="//html.scirp.org/file/4-1440991x6.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.85050-formula5"><graphic  xlink:href="//html.scirp.org/file/4-1440991x7.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.85050-formula6"><graphic  xlink:href="//html.scirp.org/file/4-1440991x8.png"  xlink:type="simple"/></disp-formula></sec></body><back><ref-list><title>References</title><ref id="scirp.85050-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Tsehay, D.S., Mulatie, M.M. and Sellakumar, G.M. 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