| Literature DB >> 32208952 |
Nancy A Otieno1, Fredrick Otiato1, Bryan Nyawanda1, Maxwel Adero1, Winnie N Wairimu1, Dominic Ouma1, Raphael Atito1, Andrew Wilson2, Ines Gonzalez-Casanova2, Fauzia A Malik2, Marc-Alain Widdowson3,4, Saad B Omer5,6,7, Sandra S Chaves8, Jennifer R Verani3.
Abstract
Maternal vaccination coverage remains suboptimal globally and is lowest in low- and middle-income countries. Attitudes toward maternal vaccines have been characterized in middle-high income settings, however data from African countries are limited. We assessed drivers and barriers of vaccine acceptance among pregnant women in Kenya. We conducted a cross-sectional survey among pregnant women aged 15-49 y. We enrolled a convenience sample of women presenting for antenatal care at seven health-care facilities in four diverse counties (Nairobi, Mombasa, Marsabit, Siaya) of Kenya and from the community in two counties (Nairobi, Siaya). We described frequencies of socio-demographic characteristics of participants and their knowledge, attitudes, and beliefs regarding maternal vaccination. We enrolled 604 pregnant women with a median age of 26.5 y, of whom 48.2% had primary education or less. More than 95% agreed that maternal vaccines are "important for my health" and that getting vaccinated is "a good way to protect myself from disease". The most commonly cited reason in favor of maternal vaccination was disease prevention (53.2%). Fear of side effects to mother/baby (15.1%) was the most frequently reported potential barrier. Influenza vaccine is not in routine use in Kenya; however, 77.8% reported willingness to accept influenza vaccination during pregnancy. Maternal vaccination is well accepted among Kenyan pregnant women. We identified the provision of adequate vaccine information and addressing safety concerns as opportunities to improve maternal vaccine uptake. The expressed willingness to receive a vaccine not currently in routine use bodes well for implementation of new maternal vaccines in Kenya.Entities:
Keywords: barriers; drivers; pregnant women; uptake; vaccine acceptance
Year: 2020 PMID: 32208952 PMCID: PMC7644175 DOI: 10.1080/21645515.2020.1723364
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 3.452
Figure 1.Map of Africa (left) Showing the Position of Kenya, and Map of Kenya with the Location of Counties Where the Study Took Place
Characteristics of the study sites
| County | Percentage receiving antenatal care from skilled providera, e | Percentage receiving two or more TT injections during last pregnancyb, e | Percentage whose last birth was protected against neonatal tetanusb, c, e | Maternal mortality (deaths per 100,000 live birthse | Infant mortalityb, e (deaths per 1000 live births) | Rural/Urban | Facility where women were enrolled | Number of Pregnant women enrolled |
|---|---|---|---|---|---|---|---|---|
| Nairobi | 97.6 | 60.3 | 83 | 212b | 55 | Urban | Mbagathi District Hospital | 110 |
| Tabitha Clinic Kibera | 114 | |||||||
| Kibera Community (referred) | 46 | |||||||
| Mombasa | 99.2 | 64.5 | 83.7 | 328b | 44 | Urban | Coast Provincial General Hospital | 86 |
| Tudor Health Center | 18 | |||||||
| Marsabit | 75.6 | 44.1d | 69.5d | 1,127f | 37 | Peri-urban | Marsabit District Hospital | 70 |
| Siaya | 97.8 | 44.5 | 70.1 | 692f | 50 | Rural | Siaya County Referral hospital | 101 |
| Lwak Mission Hospital | 8 | |||||||
| Siaya Community (referred) | 51 | |||||||
| National overall | 95.5 | 51.1 | 75.6 | 362 | 39 |
aSkilled provider includes doctor, nurse, or midwife.
bRegional rates used, county rates not available
cIncludes mothers with two injections during the pregnancy of her last birth, or two or more injections (the last within 3 y of the last live birth), or three or more injections (the last within 5 y of the last birth), or four or more injections (the last within 10 y of the last live birth), or five or more injections at any time prior to the last birth.
dMarsabit is in the eastern region though located at and with indicators similar to northern Kenya. Regional rates presented are averages of the two regions.
eKenya Demographic and Health Survey 2014; National Council for Population and Development and United Nations Population Fund
fKenya Population Situation Analysis, 2013 TT = Tetanus toxoid
Socio-demographic and pregnancy characteristics of women enrolled in the study, October 2017 – January 2018, N = 604
| Characteristic | n | % |
|---|---|---|
| 15–24 y | 224 | 37.1 |
| 25–34 y | 333 | 55.1 |
| 35–49 y | 47 | 7.8 |
| Age (yrs), mean (sd) | 26.6 | (5.3) |
| Age (yrs), median (IQR) | 26.5 | (23,30) |
| First trimester | 65 | 10.8 |
| Second trimester | 290 | 48.3 |
| Third trimester | 246 | 40.9 |
| No education | 62 | 10.3 |
| Primary only | 229 | 37.9 |
| Secondary | 190 | 31.5 |
| College | 123 | 20.4 |
| Single | 94 | 15.6 |
| Married | 502 | 83.1 |
| Divorced/Separated | 5 | 0.8 |
| Widow | 2 | 0.3 |
| Don’t want to answer | 1 | 0.2 |
| Housewife | 216 | 35.8 |
| Small business (no premise eg. sell maize) | 105 | 17.4 |
| Not workingb | 82 | 13.6 |
| Business owner (has premise eg. small shop) | 74 | 12.3 |
| Salaried worker (eg. teacher, nurse, office) | 60 | 9.9 |
| Skilled labor (carpenter, tailor, artisan) | 38 | 6.3 |
| Unskilled labor (farming, construction) | 29 | 4.8 |
| Protestant | 278 | 46.0 |
| Catholic | 157 | 26.0 |
| Muslims | 85 | 14.1 |
| Traditional African Churches/traditional religion | 84 | 13.9 |
| Luo | 295 | 48.8 |
| Borana/Rendile/Burji/Somali | 67 | 11.1 |
| Kikuyu | 54 | 8.9 |
| Luhya | 52 | 8.6 |
| Swahilli/Mijikenda | 37 | 6.1 |
| Kamba | 35 | 5.8 |
| Other | 64 | 10.6 |
| 2 (1,3) | ||
| No. of children < 5 y, median (IQR) | 1 (1,1) | |
| 1 | 163 | 27.0 |
| 2 | 183 | 30.3 |
| 3 | 139 | 23.0 |
| 4 | 64 | 10.6 |
| ≥5 | 55 | 9.1 |
| Past miscarriages (mothers on second or more pregnancies), n = 441 | 112 | 25.4 |
| Yes | ||
| Hospitalization during current pregnancy | 32 | 5.3 |
aThree women did not know the gestational age of their pregnancies, n = 601
bIncludes 44 mothers who reported being students and 13 who reported subsistence farming.
Vaccine recommendations and uptake among pregnant women enrolled in the study, October 2017 – January 2018, N = 604
| Characteristic | n | % |
|---|---|---|
| Received recommendation to get vaccinated during current pregnancy | 361 | 59.8 |
| Source of vaccine recommendationa | ||
| Doctor, Nurse, or other health-care providers | 253 | 70.1 |
| Relative | 114 | 31.6 |
| Friend/Neighbor | 109 | 30.2 |
| Husband | 102 | 28.3 |
| Community Health Worker | 83 | 23.0 |
| Through Radio, TV Or Internet/Social Media | 32 | 8.9 |
| Ministry of Health | 14 | 3.9 |
| Father of child | 8 | 2.2 |
| Religious leaders | 6 | 1.7 |
| Local leaders | 4 | 1.1 |
| Chemist/pharmacist | 1 | 0.3 |
| Others | 19 | 5.3 |
| Vaccine recommended during current pregnancy | ||
| Tetanus vaccine | 277 | 76.7 |
| Do not know vaccine | 47 | 13.0 |
| Cannot remember vaccine name | 34 | 9.4 |
| Otherb | 3 | 0.8 |
| Received vaccine during current pregnancy | 429 | 71.03 |
| Specific vaccine(s) received | ||
| Tetanus vaccinec | 415 | 96.7 |
| Unknown | 14 | 3.3 |
| Week of pregnancy received tetanus vaccine (median, IQR) | 20 | (16,24) |
| Complications from tetanus vaccination | 82 | 19.8 |
| Type of complicationd | ||
| Pain | 39 | 47.6 |
| Numbness | 16 | 19.5 |
| Swelling | 13 | 15.9 |
| Bleeding | 2 | 2.4 |
| Fever | 1 | 1.2 |
| Other | 12 | 14.6 |
| No complications | 333 | 80.2 |
| Received vaccine during prior pregnancy, n = 433e | 401 | 92.6 |
| Specific vaccine(s) received | ||
| Tetanus vaccine | 347 | 86.5 |
| Do not know/remember | 54 | 13.5 |
| Maximum number of vaccines willing to receive during pregnancy | ||
| 1 | 101 | 16.7 |
| 2 | 72 | 11.9 |
| 3 | 46 | 7.6 |
| 4 | 12 | 2.0 |
| ≥5 | 17 | 2.8 |
| No maximum | 216 | 35.8 |
| Not sure | 140 | 23.2 |
| Stage of pregnancy woman likely to take up a vaccine | ||
| All throughout pregnancy | 108 | 17.9 |
| During the first 3 months | 222 | 36.8 |
| During the first 6 months | 211 | 34.9 |
| Only during the last 3 months | 63 | 10.4 |
aWomen could reply to more than one option so total >361.
bRespondents reported Anti D, Iron boosters, and malaria vaccine; malaria vaccine is not given in pregnancy while Anti D and iron boosters are not vaccines.
cOne mother reported receiving influenza, pertussis, and HPV vaccine in addition to tetanus vaccine; influenza, pertussis, and HPV vaccines are not routinely given to pregnant women in Kenya.
dWomen could reply to more than one option for the type of complication, so total >82
eDenominator excludes mothers in their first pregnancy (n = 163) and those who were not sure of receiving vaccine in the past pregnancy (n = 8).
Top reasons for and against vaccination during pregnancy reported by pregnant women, N = 604
| First priority | Second priority | Third priority | |
|---|---|---|---|
| Reason | n (%) n = 604 | n (%) n = 604 | n (%) n = 604 |
| Reasons why a woman would receive a vaccine during pregnancy | |||
| Vaccines help prevent diseases | 321 (53.2) | 160 (26.5) | 56 (9.3) |
| The vaccine is beneficial to the baby in the womb | 114 (18.9) | 205 (33.9) | 156 (25.8) |
| If a doctor, nurse or other health-care provider suggested it | 104 (17.2) | 93 (15.4) | 124 (20.5) |
| Belief that vaccines are effective | 24 (4.0) | 44 (7.3) | 74 (12.3) |
| Belief that diseases are dangerous for a baby already born | 16 (2.7) | 50 (8.3) | 99 (16.4) |
| If the Kenya ministry of health recommended it | 16 (2.7) | 31 (5.1) | 48 (8.0) |
| If a friend/relative/neighbor recommended it | 5 (0.8) | 12 (2.0) | 22 (3.6) |
| If another pregnant woman recommended it | 3 (0.5) | 7 (1.2) | 16 (2.7) |
| For ethical/moral reasons or recommended by local or religious leaders | 1 (0.2) | 1 (0.2) | 4 (0.7) |
| If an NGO recommended it | 0 (0.0) | 1 (0.2) | 5 (0.8) |
| Reasons why a woman would NOT receive a vaccine during pregnancy | |||
| Would never refuse vaccination against tetanus during pregnancy | 308 (51.0) | 3 (0.5) | 0 (0.0) |
| If she sees the vaccine causes side effects to a mother or a child | 91 (15.1) | 37 (6.1) | 9 (1.5) |
| Belief that the vaccine is not effective | 34 (5.6) | 35 (5.8) | 20 (3.3) |
| Concerns that the vaccine would weaken your immune system | 30 (5.0) | 15 (2.5) | 15 (2.5) |
| Concerns that the vaccine could be dangerous for a baby in the womb? | 18 (3.0) | 21 (3.5) | 23 (3.8) |
| For medical reasons (immunocompromised, HIV+) | 10 (1.7) | 4 (0.7) | 5 (0.8) |
| For religious reasons | 9 (1.5) | 4 (0.7) | 5 (0.8) |
| For ethical or moral reasons | 4 (0.7) | 2 (0.3) | 6 (1.0) |
| Her husband/household member does not authorize her to get the vaccine | 4 (0.7) | 2 (0.3) | 4 (0.7) |
| Influence from a political leader | 2 (0.3) | 12 (2.0) | 3 (0.5) |
| Don’t want to answer | 2 (0.3) | 0 (0.0) | 0 (0.0) |
| Belief that a disease like tetanus is not dangerous for the mother | 1 (0.2) | 4 (0.7) | 4 (0.7) |
| For cultural beliefs | 1 (0.2) | 4 (0.7) | 1 (0.2) |
| Belief that a disease like tetanus is not dangerous for a baby already born | 1 (0.2) | 3 (0.5) | 1 (0.2) |
| Belief that it’s better to suffer from the natural disease than be vaccinated | 0 (0.0) | 0 (0.0) | 2 (0.3) |
| No response | 0 (0.0) | 428 (70.9) | 501 (83.0) |
| Other | 89 (14.7) | 30 (5.0) | 5 (0.8) |
| Priority benefit when deciding to get vaccinated | |||
| Baby in womb | 355 (58.8) | 203 (33.6) | 46 (7.6) |
| Mother | 206 (34.1) | 253 (41.9) | 145 (24.0) |
| Baby after it is born | 43 (7.1) | 148 (24.5) | 413 (68.4) |
Figure 2.Pregnant Women’s Opinions on the Risks and Benefits of Maternal Vaccines
Figure 3.Pregnant Women’s Opinions on Vaccine Protection and Vaccine Priority During Pregnancy
Reasons for vaccine refusal, for either mother or baby, in the past and negative vaccine experiences among pregnant women enrolled in the study, N = 604
| Characteristic | n | % |
|---|---|---|
| Ever refused a vaccine | 26 | 4.3 |
| Type of vaccine refused | ||
| Tetanus | 10 | 38.5 |
| Polio | 6 | 23.1 |
| Measles | 2 | 7.7 |
| Cannot remember the name | 4 | 15.4 |
| Don’t know | 3 | 11.5 |
| Other | 1 | 3.8 |
| Reasons for refusala | ||
| Not enough information/not advertised | 11 | 42.3 |
| Didn’t think it was safe/side effects | 9 | 34.6 |
| Rumors about its safety | 3 | 11.5 |
| I did not think it was effective | 3 | 11.5 |
| Vaccine not important or necessary | 3 | 11.5 |
| Family/friends told me not to | 2 | 7.7 |
| Religious reasons | 1 | 3.8 |
| Distance to clinic | 1 | 3.8 |
| I think I was not at risk of the disease | 1 | 3.8 |
| There were no vaccines at the clinic | 1 | 3.8 |
| Other reasons | 2 | 7.7 |
| Ever had a negative experience (for mother or child) with a vaccinea | 26 | 4.3 |
| Swelling | 16 | 61.5 |
| Bad fever | 6 | 23.1 |
| Abscess | 5 | 19.2 |
aWomen could reply to more than one option so total >26.
Pregnant women’s knowledge on influenza, attitudes, and beliefs on influenza vaccination, N = 604
| Yes | Not sure | No | |
|---|---|---|---|
| Knowledge, attitude/belief | n (%) | n (%) | n (%) |
| Have you ever heard about influenza? | 453 (75.0) | 5 (0.8) | 146 (24.2) |
| Do you think that a pregnant woman should be vaccinated against influenza? | 402 (66.6) | 151 (25.0) | 51 (8.4) |
| Is it likely for a pregnant woman who was not vaccinated against influenza to contract the disease? | 373 (61.8) | 159 (26.3) | 72 (11.9) |
| Is a pregnant woman protected if she is vaccinated against influenza? | 423 (70.0) | 138 (22.9) | 43 (7.1) |
| Do you think it is safe for a pregnant woman to receive the influenza vaccine? | 373 (61.8) | 203 (33.6) | 28 (4.6) |
| Would a baby be protected against influenza if his/her mother received an influenza vaccine during pregnancy | 334 (55.3) | 191 (31.6) | 79 (13.1) |
| If you were given the option to get an influenza vaccine, would you accept vaccination? | 470 (77.8) | 54 (8.9) | 80 (13.3) |