| Literature DB >> 32727462 |
Sujyoti Shakya1,2, Sweta Shrestha3, Rojeena Koju Shrestha4, Usha Giri4, Sunil Shrestha5,6,7.
Abstract
BACKGROUND: Unintended pregnancy occurs due to incorrect or inconsistent use of a contraception method. Such pregnancies can create an economic burden on the family, society and nation as a whole. Unintended pregnancy is the underlying cause of abortion which can also result in infertility and maternal death. Adequate knowledge of emergency contraceptive pills (ECPs) and positive attitudes among the community pharmacy practitioners (CPPs) is a prerequisite for timely access of ECP, thus ultimately lessening the incidence of unintended pregnancies. This study intended to explore the knowledge, attitude and practice of CPPs toward ECPs in Kathmandu valley.Entities:
Keywords: Community pharmacy; Emergency contraception; Emergency contraceptive pills; Nepal; Pharmacist
Year: 2020 PMID: 32727462 PMCID: PMC7392703 DOI: 10.1186/s12913-020-05543-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Socio demographic characteristics of the respondents
| Characteristics | Frequency | Percentage |
|---|---|---|
| < 20 | 29 | 12.8 |
| 20–29 | 107 | 47.1 |
| 30–39 | 51 | 22.5 |
| 40–49 | 23 | 10.1 |
| Greater and equal to 50 | 17 | 7.5 |
| Male | 131 | 57.7 |
| Female | 96 | 42.3 |
| Hindu | 190 | 83.7 |
| Buddhist | 32 | 14.1 |
| Muslim | 3 | 1.3 |
| Christian | 2 | .9 |
| Bachelor of Pharmacy | 57 | 25.1 |
| CMA | 29 | 12.8 |
| Diploma in Pharmacy | 90 | 39.6 |
| Masters of Pharmacy | 13 | 5.7 |
| Others | 38 | 16.7 |
| Staff | 109 | 48.0 |
| Manager | 12 | 5.3 |
| Owner | 105 | 46.3 |
| Others | 1 | .4 |
| < 5 years | 111 | 48.9 |
| 5-10 years | 61 | 26.9 |
| > 10 years | 55 | 24.2 |
| Inside city | 123 | 54.2 |
| Near Hospital | 69 | 30.4 |
| Periphery | 35 | 15.4 |
| Kathmandu | 170 | 74.9 |
| Lalitpur | 36 | 15.9 |
| Bhaktapur | 21 | 9.3 |
Percentage distribution of respondents by their dispensing practice of ECP
| S.N | Practice Variables | Response | Percentage distribution of respondents |
|---|---|---|---|
| 1 | Have you ever dispensed ECP? | Yes | 225 (99.1) |
| No | 2 (0.9) | ||
| 2 | Which brand of ECP is sold the most? | I Pill | 129 (56.8) |
| E-72 | 25 (11.0) | ||
| ECON | 28 (12.3) | ||
| Unwanted 72 | 35 (15.4) | ||
| Max 72 | 10 (4.4) | ||
| Feminor | 0 | ||
| Others | 0 | ||
| 3 | On average, how many ECPs do you dispense every day? | 1 to 10 | 151 (66.5) |
| 11 to 20 | 63 (27.8) | ||
| 21 to 30 | 11 (4.8) | ||
| 31 to 40 | 1 (0.4) | ||
| 41 to 50 | 1 (0.4) | ||
| Above | 0 | ||
| 4 | Who are the most frequent clients? | Teenagers | 132 (58.1) |
| Adult women | 49 (21.6) | ||
| Adult men | 46 (20.3) | ||
| 5 | Most often the products are sold on? | Patient Request | 204 (89.9) |
| Patient approaches with prescription | 16 (7.0) | ||
| On your recommendations | 7 (3.1) | ||
| 6 | Source of information | Medical Representative (MR) | 66 (29.1) |
| Text Book | 99 (43.6) | ||
| Training | 44 (19.4) | ||
| Internet | 18 (7.9) | ||
| 7 | Do you feel ECPs should be categorized under OTC drug? | Yes | 70 (30.8) |
| No | 123 (54.2) | ||
| Don’t Know | 34 (15.0) | ||
| 8 | Received formal training /education on dispensing of ECP | > 1 year back | 56 (24.7) |
| < 1 year back | 24 (10.6) | ||
| Not received | 147 (64.8) | ||
| 9 | Do you think counseling is an important role of dispensers before dispensing ECPs | Yes | 209 (92.1) |
| No | 9 (4.0) | ||
| Don’t Know | 9 (4.0) | ||
| 10 | Do you counsel all ECP users while dispensing? | Yes | 159 (70.0) |
| No | 68 (30.0) | ||
| 11 | Do you counsel on the mechanism of action of ECPs? | Yes | 105 (46.3) |
| No | 122 (53.7) | ||
| 12 | Do you counsel the time at which ECPs should be taken? | Yes | 167 (73.6) |
| No | 60 (26.4) | ||
| 13 | Do you counsel on the side effects of ECPs? | Yes | 151 (66.5) |
| No | 76 (33.5) | ||
| Poor Practice (≤0.5) | 57 | 25.1 | |
| Good Practice (> 0.5) | 170 | 74.9 | |
| Total | 227 | 100.0 | |
Demographic characteristics of the respondents and their dispensing practice
| Variables | Selected Practice Variables | Chi-Square value | ||
|---|---|---|---|---|
| Poor Practice | Good Practice | |||
| < 20 | 18 (31.6) | 11(6.5) | 30.502 | 0.000* |
| 20–29 | 27(47.4) | 80(47.1) | ||
| 30–39 | 10(17.5) | 41(24.1) | ||
| 40–49 | 1(1.8) | 22(12.9) | ||
| Greater and equal to 50 | 1(1.8) | 16(9.4) | ||
| Male | 31(54.4) | 100(58.8) | 0.344 | 0.557 |
| Female | 26(45.6) | 70(41.2) | ||
| Religion | ||||
| Hindu | 45(78.9) | 145(85.3) | 3.774 | 0.287 |
| Buddhist | 9(15.8) | 23(13.5) | ||
| Muslim | 2(3.5) | 1(0.6) | ||
| Christian | 1(1.8) | 1(0.6) | ||
| B Pharmacy | 11(19.3) | 46(27.1) | 7.004 | 0.136 |
| CMA | 12(21.1) | 17(10.0) | ||
| D Pharmacy | 20(35.1) | 70(41.2) | ||
| M Pharmacy | 2(3.5) | 11(6.5) | ||
| Others | 12(21.1) | 26(15.3) | ||
| Staff | 39(68.4) | 70(41.2) | 13.476 | 0.004* |
| Manager | 3(5.3) | 9(5.3) | ||
| Owner | 15(26.3) | 90(52.9) | ||
| Others | 0(0.0) | 1(0.6) | ||
| < 5 years | 35(61.4) | 76(44.7) | 12.367 | 0.002* |
| 5–10 years | 18(31.6) | 43(25.3) | ||
| > 10 years | 4(7.0) | 51(30.0) | ||
| Inside city | 24(42.1) | 99(58.2) | 7.947 | 0.019* |
| Near Hospital | 18(31.6) | 51(30.0) | ||
| Periphery | 15(26.3) | 20(11.8) | ||
| Kathmandu | 17(29.8) | 153(90.0) | 82.226 | 0.000* |
| Lalitpur | 25(43.9) | 11(6.5) | ||
| Bhaktapur | 15(26.3) | 6(3.5) | ||
* indicates statistically significant at p-value less than 0.05
Percentage distribution of respondents by their knowledge of ECP
| Knowledge variables | Response | Percentage n (%) |
|---|---|---|
| Mechanism of action of ECP | Prevent or delay ovulation | 144 (63.4) |
| Induce Abortion | 26 (11.5) | |
| Prevent an already established pregnancy | 23 (10.1) | |
| Don’t Know | 34 (15.0) | |
| How many times in the past years have you received information about ECP? | No | 83 (36.6) |
| Yes, Once | 96 (42.3) | |
| Yes, More than once | 48 (21.1) | |
| Do you know when must the pills be taken to be clinically effective? | Before unprotected sexual intercourse | 15 (6.6) |
| During unprotected sexual intercourse | 22 (9.7) | |
| After unprotected sexual intercourse | 185 (81.5) | |
| Don’t Know | 5 (2.2) | |
| Within how many hours after unprotected sexual intercourse should the pills be taken? | 5 | 1 (0.4) |
| 24 | 12 (5.3) | |
| 48 | 20 (8.8) | |
| 72 | 180 (79.3) | |
| 120 | 13 (5.7) | |
| Don’t Know | 1 (0.4) | |
| Mention the constituents of ECP | Levonorgestrel | 174 (76.7) |
| Levonorgestrel plus Ethinyl estradiol | 24 (10.6) | |
| Don’t Know | 29 (12.8) | |
| What is the dose of ECPs? | Single-dose of 1.5 mg or 2 doses of 0.75 mg | 155 (68.3) |
| Single-dose of 2.5 mg or 2 doses of 01.5 mg | 22 (9.7) | |
| Don’t Know | 50 (22.0) | |
| ECP can harm the developing fetus? | Yes | 144 (63.4) |
| No | 40 (17.6) | |
| Don’t Know | 43 (18.9) | |
| Do you know the side effects of ECPs? | Yes | 153 (67.4) |
| No | 44 (19.4) | |
| Not Sure | 30 (13.2) | |
| Does the pill protect from Sexually transmitted infections (STI)? | Yes | 12 (5.3) |
| No | 171 (75.3) | |
| Don’t Know | 44 (19.4) | |
| Poor Knowledge (≤0.5) | 78 | 34.4 |
| Good Knowledge (> 0.5) | 149 | 65.6 |
| Total | 227 | 100.0 |
Fig. 1Percentage of common side effects of ECP as specified by respondents
Demographic characteristics of the respondents and their level of knowledge
| Variables | Poor knowledge | Good knowledge | chi-Square value | |
|---|---|---|---|---|
| < 20 | 25 (32.1) | 4(2.7) | 47.087 | 0.000* |
| 20–29 | 37(47.4) | 70(47.0) | ||
| 30–39 | 10(12.8) | 41(27.5) | ||
| 40–49 | 2(2.6) | 21(14.1) | ||
| Greater and equal to 50 | 4(5.1) | 13(8.7) | ||
| Male | 40(51.3) | 91(61.1) | 2.011 | 0.156 |
| Female | 38(48.7) | 58(38.9) | ||
| Hindu | 61 (78.2) | 129 (86.6) | 3.284 | 0.350 |
| Buddhist | 14 (17.9) | 18 (12.1) | ||
| Muslim | 2 (2.6) | 1 (0.7) | ||
| Christian | 1 (1.3) | 1 (0.7) | ||
| B Pharmacy | 8(10.3) | 49(32.9) | 19.954 | 0.001* |
| CMA | 17(21.8) | 12(8.1) | ||
| D Pharmacy | 32(41.0) | 58(38.9) | ||
| M Pharmacy | 4(5.1) | 9(6.0) | ||
| Others | 17(21.8) | 21(14.1) | ||
| Staff | 53(67.9) | 56(37.6) | 19.191 | 0.000* |
| Manager | 3(3.8) | 9(6.0) | ||
| Owner | 22(28.2) | 83(55.7) | ||
| Others | 0(0.0) | 1(0.7) | ||
| < 5 years | 48(61.5) | 63(42.3) | 9.191 | 0.010* |
| 5–10 years | 19(24.4) | 42(28.2) | ||
| > 10 years | 11(14.1) | 44(29.5) | ||
| Inside city | 32(41.0) | 91(61.1) | 14.106 | 0.001* |
| Near Hospital | 25(32.1) | 44(29.5) | ||
| Periphery | 21(26.9) | 14(9.4) | ||
| Kathmandu | 32(41.0) | 138(92.6) | 75.583 | 0.000* |
| Lalitpur | 26(33.3) | 10(6.7) | ||
| Bhaktapur | 20(25.6) | 1(0.7) | ||
* indicates statistically significant at p-value less than 0.05
Percentage distribution of respondents ‘attitude towards ECP
| S.N | Attitude Variables | Percentage distribution of respondents attitude towards ECP | ||||
|---|---|---|---|---|---|---|
| Strongly Agree | Agree | Neutral | Disagree | Strongly Disagree | ||
| 1 | ECPs are safe to use | 21 (9.3) | 100 (44.1) | 57 (25.1) | 44 (19.4) | 5 (2.2) |
| 2 | Adolescents (Teenagers) should be given an easy access to ECPs | 0 | 58 (25.6) | 58 (25.6) | 103 (45.4) | 8 (3.5) |
| 3 | Do you recommend ECPs use? | 4 (1.8) | 73 (32.2) | 73 (32.2) | 64 (28.2) | 13 (5.7) |
| 4 | Government of all countries should legalize ECPs | 16 (7.0) | 67 (29.5) | 76 (33.5) | 63 (27.8) | 5 (2.2) |
| 5 | All sexually active women should be aware of ECP | 64 (28.2) | 144 (63.4) | 10 (4.4) | 9 (4.0) | 0 |
| 6 | Routine information about ECP should be included in contraceptive counseling | 64 (28.2) | 135 (59.5) | 22 (9.7) | 6 (2.6) | 0 |
| 7 | Information of ECP should be included in sex education in school | 79 (34.8) | 135 (59.5) | 10 (4.4) | 2 (0.9) | 1 (0.4) |
| 8 | Formal training is needed to enable the dispensers to appropriately dispense ECPs | 54 (23.8) | 142 (62.6) | 22 (9.7) | 8 (3.5) | 1 (0.4) |
| 9 | ECP without prescription will promote unsafe sex | 32 (14.1) | 116 (51.1) | 38 (16.7) | 37 (16.3) | 4 (1.8) |
| Negative Attitude (> 3) | 15 | 6.6 | ||||
| Positive Attitude (≤3) | 212 | 93.4 | ||||
| Total | 227 | 100.0 | ||||
Demographic characteristics of the respondents and their level of attitude
| Variables | Negative Attitude n (%) | Positive Attitude n (%) | Chi-Square value | |
|---|---|---|---|---|
| < 20 | 3 (20.0) | 26 (12.3) | 4.370 | 0.358 |
| 20–29 | 9 (60.0) | 98 (46.2) | ||
| 30–39 | 1 (6.7) | 50 (23.6) | ||
| 40–49 | 2 (13.3) | 21 (9.9) | ||
| Greater and equal to 50 | 0 | 17 (8.0) | ||
| Male | 8 (53.3) | 123 (58.0) | 0.126 | 0.723 |
| Female | 7 (46.7) | 89 (42.0) | ||
| Hindu | 12 (80.0) | 178 (84.0) | 0.777 | 0.855 |
| Buddhist | 3 (20.0) | 29 (13.7) | ||
| Muslim | 0 | 3 (1.4) | ||
| Christian | 0 | 2 (0.9) | ||
| B Pharmacy | 4 (26.7) | 53 (25.0) | 3.601 | 0.463 |
| CMA | 4 (26.7) | 25 (11.8) | ||
| D Pharmacy | 5 (33.3) | 85 (40.1) | ||
| M Pharmacy | 1 (6.7) | 12 (5.7) | ||
| Others | 1 (6.7) | 37 (17.5) | ||
| Staff | 6 (40.0) | 103 (48.6) | 2.254 | 0.521 |
| Manager | 2 (13.3) | 10 (4.7) | ||
| Owner | 7 (46.7) | 98 (46.2) | ||
| Others | 0 | 1 (0.5) | ||
| < 5 years | 10 (66.7) | 101 (47.6) | 2.106 | 0.349 |
| 5–10 years | 3 (20.0) | 58 (27.4) | ||
| > 10 years | 2 (13.3) | 53 (25.0) | ||
| Inside city | 8 (53.3) | 115 (54.2) | 0.093 | 0.955 |
| Near Hospital | 5 (33.3) | 64 (30.2) | ||
| Periphery | 2 (13.3) | 33 (15.6) | ||
| Kathmandu | 9 (60.0) | 161 (75.9) | 1.948 | 0.378 |
| Lalitpur | 4 (26.7) | 32 (15.1) | ||
| Bhaktapur | 2 (13.3) | 19 (9.0) | ||
Association of the level of dispensing practice with their level of knowledge and level of attitude
| Variables | Level of Selected Practice Variables | Chi-Square value | COR (95% CI) | AOR | |||
|---|---|---|---|---|---|---|---|
| Poor Practice | Good Practice | ||||||
| Poor Knowledge | 43 (75.4) | 35 (20.6) | 56.941 | 0.000* | 11.847 (5.833–24.060) | 1 | |
| Good Knowledge | 14 (24.6) | 135 (79.4) | 11.866 (5.821–24.190) | ||||
| Negative Attitude | 5 (8.8) | 10 (5.9) | 0.578 | 0.537 Fischer Exact Test | |||
| Positive Attitude | 52 (91.2) | 160 (94.1) | |||||
Abbreviation: COR Crude Odds Ratio, AOR Adjusted Odds Ratio and * indicates statistically significant at p-value less than 0.05
Level of an attitude of respondents and their level of knowledge
| Variables | Level of Attitude | Chi-Square value | |||
|---|---|---|---|---|---|
| Negative Attitude | Positive Attitude | ||||
| Poor Knowledge | 8 (53.3) | 70 (33.0) | 2.563 | 0.109 | |
| Good Knowledge | 7 (46.7) | 142 (67.0) | |||
Socio demographic characteristics and determinant variables related to the knowledge and practice of ECP
| Variables | Practice Odd Ratio (95% CI) | Knowledge Odd Ratio (95% CI) | ||||||
|---|---|---|---|---|---|---|---|---|
| COR (95% CI) | AOR (95% CI) | COR (95% CI) | AOR (95% CI) | |||||
| < 20 | 1 | 0.000* | 1 | 0.514 | 1 | 0.000* | 1 | 0.044* |
| 20–29 | 4.848 (2.036–11.547) | 0.000* | 2.538 (0.808–7.970) | 0.111 | 11.824 (3.827–36.536) | 0.000* | 4.779 (1.179–19.372) | 0.028* |
| 30–39 | 6.709 (2.419–18.606) | 0.000* | 3.332 (0.761–14.591) | 0.110 | 25.625 (7.256–90.492) | 0.000* | 14.775 (2.456–88.862) | 0.003* |
| 40–49 | 36.000 (4.236–305.916) | 0.001* | 5.407 (0.360–81.146) | 0.222 | 65.625 (10.915–394.550) | 0.000* | 27.030 (2.043–357.546) | 0.012* |
| Greater and equal to 50 | 26.182 (3.034–225.902) | 0.003* | 4.142 (0.284–60.418) | 0.299 | 20.313 (4.357–94.697) | 0.000* | 10.048 (0.971–103.951) | 0.053 |
| Male | 1 | 0.558 | – | – | 1 | 0.157 | – | – |
| Female | 0.835 (0.456–1.527) | – | – | 0.671 (0.386–1.166) | 0.157 | – | – | |
| Hindu | 1 | 0.379 | – | – | 1 | 0.381 | – | – |
| Buddhist | 0.793 (0.342–1.837) | 0.589 | – | – | 0.608 (0.284–1.303) | 0.201 | – | – |
| Muslim | 0.155 (0.014–1.751) | 0.132 | – | – | 0.236 (0.021–2.658) | 0.243 | – | – |
| Christian | 0.310 (0.019–5.062) | 0.411 | – | – | 0.473 (0.029–7.687) | 0.599 | – | – |
| B Pharmacy | 1 | 0.15 | – | – | 1 | 0.001* | 1 | 0.040* |
| CMA | 0.339 (0.126–0.911) | 0.032 | – | – | 0.115 (0.040–0.330) | 0.000* | 0.122 (0.027–0.537) | 0.005* |
| D Pharmacy | 0.837 (0.367–1.909) | 0.672 | – | – | 0.296 (0.125–0.701) | 0.006* | 0.261 (0.080–0.848) | 0.025* |
| M Pharmacy | 1.315 (0.254–6.807) | 0.744 | – | – | 0.367 (0.091–1.482) | 0.159 | 0.494 (0.079–3.087) | 0.451 |
| Others | 0.518 (0.201–1.338) | 0.174 | – | – | 0.202 (0.075–0.539) | 0.001* | 0.128 (0.026–0.629) | 0.011* |
| < 5 years | 1 | 0.006* | 1 | 0.624 | 1 | 0.012* | 1 | 0.375 |
| 5–10 years | 1.100 (0.557–2.173) | 0.783 | 0.648 (0.245–1.714) | 0.382 | 1.684 (0.871–3.256) | 0.121 | 0.701 (0.234–2.098) | 0.525 |
| > 10 years | 5.872 (1.967–17.527) | 0.002* | 1.064 (0.200–5.675) | 0.942 | 3.048 (1.425–6.516) | 0.004* | 0.292 (0.052–1.641) | 0.162 |
| Inside city | 1 | 0.023* | 1 | 0.931 | 1 | 0.001* | 1 | 0.216 |
| Near Hospital | 0.687(0.342–1.381) | 0.292 | 0.940 (0.386–2.293) | 0.892 | 0.619 (0.328–1.168) | 0.139 | 0.462 (0.192–1.116) | 0.086 |
| Periphery | 0.323 (0.145–0.723) | 0.006* | 1.180 (0.378–3.687) | 0.775 | 0.234 (0.107–0.515) | 0.000* | 0.590 (0.164–2.116) | 0.418 |
| Kathmandu | 1 | 0.000* | 1 | 0.000* | 1 | 0.000* | 1 | 0.000* |
| Lalitpur | 0.049 (0.021–0.116) | 0.000* | 0.062 (0.024–0.164) | 0.000* | 0.089 (0.089–0.203) | 0.000* | 0.079 (0.024–0.260) | 0.000* |
| Bhaktapur | 0.044 (0.015–0.130) | 0.000* | 0.069 (0.021–0.230) | 0.000* | 0.012 (0.002–0.090) | 0.000* | 0.010 (0.001–0.125) | 0.000* |
Abbreviation: COR Crude Odds Ratio, AOR Adjusted Odds Ratio and * indicates statistically significant at p-value less than 0.05