Skip to main content

Main menu

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
      • Local Voices Webinar
      • Connecting Creators and Users of Knowledge
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers

User menu

  • My Alerts

Search

  • Advanced search
Global Health: Science and Practice
  • My Alerts

Global Health: Science and Practice

Dedicated to what works in global health programs

Advanced Search

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Alerts
  • Find GHSP on LinkedIn
  • Visit GHSP on Facebook
  • RSS
ORIGINAL ARTICLE
Open Access

Key Role of Drug Shops and Pharmacies for Family Planning in Urban Nigeria and Kenya

Meghan Corroon, Essete Kebede, Gean Spektor and Ilene Speizer
Global Health: Science and Practice December 2016, 4(4):594-609; https://doi.org/10.9745/GHSP-D-16-00197
Meghan Corroon
aCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: corroon@unc.edu
Essete Kebede
bCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Now with North Carolina Department of Health and Human Services, Division of Public Health, Raleigh, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gean Spektor
aCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ilene Speizer
aCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
cUniversity of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF
Loading

Figures & Tables

Tables

    • View popup
    TABLE 1.

    Descriptive Characteristics of Surveyed Women Who Had Sex in the Last Year in Selected Urban Areas, by Country, 2010/2011

    CharacteristicNigeria (N = 11,930)Kenya (N = 7,085)
    No. (%)No. (%)
    Age category, years
        15–242429 (20.4)2476 (35.0)
        25–345296 (44.4)3100 (43.8)
        ≥354205 (35.2)1509 (21.3)
    Highest education level
        None/Quranic1653 (13.9)429 (6.1)
        Primary2030 (17.0)2673 (37.7)
        Secondary5140 (43.1)2740 (38.7)
        Higher3027 (25.4)1243 (17.5)
        Missing81 (0.7)0 (0.0)
    Religion
        Christian5832 (48.9)6318 (89.2)
        Muslim5969 (50.0)621 (8.8)
        No religion/other/none/missing128 (1.1)146 (2.1)
    Marital/relationship status
        Never married1835 (15.4)1584 (22.4)
        Married/living together9703 (81.3)4884 (68.9)
        Divorced/separated160 (1.3)505 (7.1)
        Widowed93 (0.8)108 (1.5)
        Missing139 (1.2)4 (0.1)
    Has at least one living child
        No2353 (19.7)1510 (21.3)
        Yes9577 (80.3)5574 (78.7)
    Wealth quintile
        Poorest2206 (18.5)1280 (18.1)
        Poor2434 (20.4)1352 (19.1)
        Middle2510 (21.0)1495 (21.1)
        Rich2462 (20.6)1467 (20.7)
        Richest2319 (19.4)1491 (21.1)
    City (Nigeria/Kenya)
        Abuja/Nairobi1594 (13.4)5150 (72.7)
        Benin City/Mombasa1564 (13.1)1325 (18.7)
        Ibadan/Kisumu2487 (20.8)382 (5.4)
        Ilorin/Machakos1993 (16.7)103 (1.4)
        Kaduna/Kakamega2853 (23.9)126 (1.8)
        Zaria/NA1440 (12.1)NA
    Current contraceptive use
        No method7409 (62.1)3116 (44.0)
        Long-acting method406 (3.4)508 (7.2)
        Short-acting method2750 (23.1)3048 (43.0)
        Natural/traditional methods1365 (11.4)413 (5.8)
    Type of short-acting method among short-acting method users
        Injectable722 (26.2)1511 (49.6)
        Oral contraceptive pill372 (13.5)860 (28.2)
        Emergency contraception214 (7.8)87 (2.9)
        Condom1440 (52.4)589 (19.3)
        Spermicide3 (0.1)0 (0.0)
    • Note: All analyses are weighted; unweighted total for Nigeria was 11,873, and for Kenya 7,226.

    • View popup
    TABLE 2.

    Method Source Among Surveyed Women Using a Short-Acting Method and Who Had Sex in the Last Year in Selected Urban Areas, by Country and Method, 2010/2011

    SourceNigeriaKenya
    Injectable (n = 722)OCP (n = 372)EC (n = 214)Condom (n = 1440)Other modern (n = 3)Total short-acting (N = 2750)Injectable (n = 1511)OCP (n = 860)EC (n = 87)Condom (n = 587)Total short-acting (N = 3048)
    Public facility60.520.92.94.668.721.450.830.610.49.235.9
    Private facility22.34.23.32.431.38.042.725.59.010.130.6
    Pharmacy (Nigeria); Pharmacy/drug shop (Kenya)3.422.332.627.60.020.96.243.776.575.032.1
    Drug shop/PPMV (Nigeria)10.649.052.446.40.037.8NANANANANA
    Other0.60.31.07.50.04.40.00.20.01.40.4
    Don't know/missing2.63.27.811.50.07.80.30.04.14.21.1
    Total100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0
    • Abbreviations: EC, emergency contraception; OCP, oral contraceptive pill; PPMV, proprietary patent medicine vendor.

    • View popup
    TABLE 3.

    Characteristics of Drug Shops and Pharmacies Surveyed in Selected Urban Areas of Nigeria and Kenya, 2010/2011

    % of Nigerian Pharmacies (n = 433)% of Nigerian Drug Shops (n = 555)% of Kenyan Pharmacies/Drug Shops (n = 223)
    Number of years open/in operation
        Less than 519.631.942.2
        5 to 1031.234.821.1
        11 to 1515.914.815.7
        More than 1516.912.311.7
        Don't know16.26.19.4
        Missing0.20.20.0
    Number of operating hours per day
        Less than 50.20.51.4
        5 to 1013.216.626.5
        11 to 1573.272.466.8
        More than 1513.49.94.0
        Missing0.00.51.4
    Number of operating days per week
        51.20.72.7
        647.141.845.7
        751.757.349.8
        Missing0.00.21.8
    Number of regular, permanent staff
        Less than 569.892.479.8
        5 to 1022.61.611.7
        11 to 151.90.05.4
        More than 153.00.01.8
        Missing2.86.01.4
    Outlet provides family planning methods
        Yes95.887.098.2
        No3.012.61.8
        Missing/Don't know1.20.40.0
    Observed family planning promotional materials on display
        Displayed32.820.448.9
        Not displayed65.178.750.7
        Missing2.10.90.5
    Person interviewed ever received training on family planning
        Yes40.740.757.0
        No59.157.742.6
        Don't know0.21.60.0
        Missing0.00.00.5
    • View popup
    TABLE 4.

    Contraceptive Methods Offered in Surveyed Pharmacies and Drug Shops in Selected Urban Areas, by Facility Type and Country, 2010/2011

    Method Offered% of Nigerian Pharmacies (n = 415)% of Nigerian Drug Shops (n = 483)% of Kenyan Pharmacies/Drug Shops (n = 219)
    Injectable69.620.168.0
    Combined oral pill76.664.898.2
    Progestin-only pill4.31.914.6
    Emergency contraception70.437.992.7
    Male condom98.898.193.6
    Female condom31.814.15.9
    Spermicide1.50.4NA
    • View popup
    TABLE 5.

    Surveyed Facilities Requiring a Prescription for Clients to Receive a Contraceptive Method in Selected Urban Areas, by Facility Type and Country, 2010/2011

    Nigerian PharmaciesNigerian Drug ShopsKenyan Pharmacies/Drug Shops
    No. Providing Method (% Requiring Rx)No. Providing Method (% Requiring Rx)No. Providing Method (% Requiring Rx)
    Injectable289 (41.9)97 (55.7)149 (56.4)
    Combined oral pill318 (39.3)313 (39.0)215 (25.1)
    Progestin only pill18 (55.6)9 (44.4)32 (34.4)
    Emergency contraceptives292 (33.2)183 (29.5)203 (10.8)
    Male condom410 (14.2)474 (12.2)205 (1.0)
    Female condom132 (14.4)68 (5.9)13 (0.0)
    Spermicide6 (33.3)2 (100.0)NA
    • Abbreviation: Rx, prescription.

    • View popup
    TABLE 6.

    Multinomial Logistic Regression Coefficients (Standard Errors) Comparing Source of Method Among Surveyed Women Using Short-Acting Methods, Selected Urban Areas of Nigeria, 2010/2011 (N=2,565)

    Pharmacy/Drug Shop vs. PublicPharmacy/Drug Shop vs. PrivatePublic vs. Private
    Column 1Column 2Column 3
    Marital status (Ref: Married)
        Never married1.00 (0.41)*0.10 (0.46)−0.89 (0.57)
        Divorced/separated/widowed0.77 (0.41)+−0.27 (0.45)−1.04 (0.56)+
    Religion (Ref: Christian)
        Muslim−0.33 (0.13)**−0.11 (0.21)0.22 (0.22)
        No religion0.54 (0.80)−1.31 (0.67)−1.85 (0.91)*
    Age (Ref: Age ≥35)
        <251.13 (0.21)***0.54 (0.31)+−0.59 (0.34)+
        25–340.66 (0.12)***0.45 (0.18)*−0.21 (0.18)
    Education (Ref: None)
        Primary0.06 (0.26)0.33 (0.38)0.27 (0.38)
        Secondary0.26 (0.27)0.12 (0.38)−0.14 (0.38)
        Higher than secondary0.45 (0.28)0.49 (0.41)0.04 (0.42)
    Wealth (Ref: Poorest)
        Poor0.31 (0.19)0.19 (0.28)−0.11 (0.30)
        Middle0.26 (0.19)0.14 (0.29)−0.12 (0.30)
        Rich0.24 (0.20)0.11 (0.31)−0.13 (0.31)
        Richest0.42 (0.23)−0.38 (0.31)−0.80 (0.35)*
    City (Ref: Ibadan)
        Abuja−1.05 (0.19)***0.31 (0.34)1.37 (0.36)***
        Benin City−0.15 (0.20)−0.43 (0.27)−0.27 (0.31)
        Ilorin0.13 (0.16)−0.62 (0.26)*−0.75 (0.27)**
        Kaduna−0.86 (0.18)***−0.73 (0.28)**0.13 (0.29)
        Zaria−1.35 (0.24)***−1.32 (0.39)***0.03 (0.32)
        Any living children−1.22 (0.43)**−1.48 (0.52)**−0.26 (0.65)
        Constant1.30 (0.56)*2.98 (0.68)***1.69 (0.81)*
    • Note: Don't know, other, and missing options modeled but not shown in comparisons.

    • ↵+ P≤.10;

    • ↵* P≤.05;

    • ↵** P≤.01;

    • ↵*** P≤.001.

    • View popup
    TABLE 7.

    Multinomial Logistic Regression Coefficients (Standard Errors) Comparing Source of Method Among Surveyed Women Using Short-Acting Methods, Selected Urban Areas of Kenya, 2010/2011 (N=3,049)

    Pharmacy/Drug Shop vs. PublicPharmacy/Drug Shop vs. PrivatePublic vs. Private
    Column 1Column 2Column 3
    Marital status (Ref: Married)
        Never married1.17 (0.15)***1.13 (0.19)***−0.04 (0.17)
        Divorced/separated/widowed0.93 (0.18)***0.66 (0.21)**−0.26 (0.18)
    Religion (Ref: Christian)
        Muslim0.32 (0.23)0.39 (0.25)0.08 (0.22)
        No religion0.19 (0.48)0.21 (0.46)0.02 (0.47)
    Age (Ref: Age ≥35)
        <25−0.26 (0.16)−0.17 (0.17)0.09 (0.15)
        25–34−0.20 (0.14)−0.17 (0.16)0.02 (0.13)
    Education (Ref: None)
        Primary0.02 (0.30)0.29 (0.31)0.27 (0.23)
        Secondary0.22 (0.30)0.52 (0.31)+0.30 (0.22)
        Higher than secondary0.82 (0.32)*0.74 (0.34)*−0.08 (0.27)
    Wealth (Ref: Poorest)
        Poor0.24 (0.16)0.13 (0.18)−0.10 (0.14)
        Middle0.35 (0.17)*0.12 (0.18)−0.23 (0.15)
        Rich0.50 (0.16)**0.27 (0.19)−0.23 (0.17)
        Richest1.24 (0.20)***0.26 (0.22)−0.98 (0.20)***
    City (Ref: Kisumu)
        Nairobi0.73 (0.17)***−0.17 (0.18)−0.91 (0.15)***
        Mombasa0.63 (0.19)**−0.67 (0.21)**−1.30 (0.18)***
        Machakos0.13 (0.17)0.70 (0.22)**0.57 (0.20)**
        Kakamega0.73 (0.19)***0.87 (0.24)***1.60 (0.22)***
        Any living children−1.76 (0.19)***−1.25 (0.21)***0.51 (0.23)*
        Constant−0.28 (0.38)0.22 (0.43)0.50 (0.36)
    • Note: Don't know, other, and missing option modeled but not shown in comparisons.

    • ↵+ P≤.10;

    • ↵* P≤.05;

    • ↵** P≤.01;

    • ↵*** P≤.001.

PreviousNext
Back to top

In this issue

Global Health: Science and Practice: 4 (4)
Global Health: Science and Practice
Vol. 4, No. 4
December 23, 2016
  • Table of Contents
  • About the Cover
  • Index by Author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Global Health: Science and Practice.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Key Role of Drug Shops and Pharmacies for Family Planning in Urban Nigeria and Kenya
(Your Name) has forwarded a page to you from Global Health: Science and Practice
(Your Name) thought you would like to see this page from the Global Health: Science and Practice web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Key Role of Drug Shops and Pharmacies for Family Planning in Urban Nigeria and Kenya
Meghan Corroon, Essete Kebede, Gean Spektor, Ilene Speizer
Global Health: Science and Practice Dec 2016, 4 (4) 594-609; DOI: 10.9745/GHSP-D-16-00197

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Key Role of Drug Shops and Pharmacies for Family Planning in Urban Nigeria and Kenya
Meghan Corroon, Essete Kebede, Gean Spektor, Ilene Speizer
Global Health: Science and Practice Dec 2016, 4 (4) 594-609; DOI: 10.9745/GHSP-D-16-00197
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Statistics from Altmetric.com

Jump to section

  • Article
    • ABSTRACT
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Acknowledgments
    • Notes
    • REFERENCES
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Supporting young womens health through girl-friendly drug vendors in Lake Zone, Tanzania: protocol for the AmbassADDOrs for Health cluster-randomised controlled trial
  • Improving Contraceptive Service Quality and Accessibility for Adolescents and Youth Through Proprietary Patent Medicine Vendors in Four Nigerian States
  • Facilitators and barriers to community pharmacy PrEP delivery: A scoping review
  • Design and evaluation of strategies to implement HIV prevention interventions for pregnant women in community pharmacy settings in western Kenya: a mixed-methods study protocol
  • Mixed-methods study on pharmacies as contraception providers to Kenyan young people: who uses them and why?
  • Google Scholar

More in this TOC Section

  • Exploring the Role of Gender in the Public Health Supply Chain Workforce in Low- and Middle-Income Countries
  • Applying a Theory of Change for Human Resources Development in Public Health Supply Chains in Rwanda
  • Presenting a Framework to Professionalize Health Supply Chain Management
Show more ORIGINAL ARTICLE

Similar Articles

Subjects

  • Health Topics
    • Family Planning and Reproductive Health
Johns Hopkins Center for Communication Programs

Follow Us On

  • LinkedIn
  • Facebook
  • RSS

Articles

  • Current Issue
  • Advance Access Articles
  • Past Issues
  • Topic Collections
  • Most Read Articles
  • Supplements

More Information

  • Submit a Paper
  • Instructions for Authors
  • Instructions for Reviewers

About

  • About GHSP
  • Advisory Board
  • FAQs
  • Privacy Policy
  • Contact Us

© 2025 Creative Commons Attribution 4.0 International License. ISSN: 2169-575X

Powered by HighWire