| Literature DB >> 23451932 |
Hembadoon Piné-Abata1, Ann McNeill, Rachael Murray, Asaf Bitton, Nancy Rigotti, Martin Raw.
Abstract
AIMS: To report progress among Parties to the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) in developing tobacco dependence treatment systems in accordance with FCTC Article 14 and the Article 14 guidelines recommendations.Entities:
Keywords: Article 14; Article 14 guidelines; FCTC; survey; tobacco dependence treatment; treatment systems
Mesh:
Year: 2013 PMID: 23451932 PMCID: PMC3759701 DOI: 10.1111/add.12172
Source DB: PubMed Journal: Addiction ISSN: 0965-2140 Impact factor: 6.526
Figure 1Survey response rates by region and World Bank income level of respondent countries
Basic infrastructure elements by World Bank income level of respondent countries
| % Yes (n) | |||||
|---|---|---|---|---|---|
| Question | All (n | High (n | UM (n | LM (n | Low (n |
| Does your country have an official national treatment strategy? | 44 (53) | 58 (21) | 47 (17) | 33 (10) | 26 (5) |
| Is there an officially identified person who is responsible for tobacco dependence treatment? | 41 (49) | 47 (17) | 44 (16) | 40 (12) | 21 (4) |
| Does your country have national guidelines for the treatment of tobacco dependence? | 44 (53) | 75 (27) | 42 (15) | 30 (9) | 11 (2) |
| Have a clearly identified budget for treatment? | 20 (24) | 36 (13) | 17 (6) | 17 (5) | 0 (0) |
| Does your country monitor the use of treatment services? | 22 (27) | 42 (15) | 25 (9) | 10 (3) | 0 (0) |
| Does your country offer help to health care workers to stop using tobacco? | 46 (55) | 56 (20) | 47 (17) | 40 (12) | 32 (6) |
| Does your country have mandatory recording of patients' tobacco use status in medical notes? | 22 (26) | 28 (10) | 25 (9) | 13 (4) | 16 (3) |
| Does your country have national training standards? | 26 (31) | 42 (15) | 25 (9) | 13 (4) | 16 (3) |
LM = lower-middle-income; UM = upper-middle-income. Missing data ranged from zero to 1%.
Components of the national cessation support system by World Bank income level of respondent countries
| % Yes (n) | |||||
|---|---|---|---|---|---|
| Question | All (n | High (n | UM (n | LM (n | Low (n |
| Does your country run mass media campaigns promoting cessation? | 54 (65) | 69 (25) | 50 (18) | 43 (13) | 47 (9) |
| Does your country promote/encourage brief advice in existing services? | 56 (68) | 56 (20) | 50 (18) | 60 (18) | 63 (12) |
| Does your country have a telephone quitline? | 36 (44) | 75 (27) | 28 (10) | 20 (6) | 5 (1) |
| • Is it free to callers calling in? | 73 (32) | 74 (20) | 60 (6) | 83 (5) | 100 (1) |
| • Does it have people answering always or almost always? | 80 (35) | 85 (23) | 60 (6) | 83 (5) | 100 (1) |
| • Does it offer multiple sessions with counsellors calling back offering ongoing support? | 56 (24) | 70 (19) | 30 (3) | 33 (2) | 0 (0) |
| • Does it refer to local specialist treatment services? | 86 (38) | 85 (23) | 100 (10) | 67 (4) | 100 (1) |
| • Does it offer information about tobacco cessation medications? | 80 (35) | 85 (23) | 70 (7) | 67 (4) | 100 (1) |
| • Does it offer tobacco cessation medications to callers? | 21 (9) | 22 (6) | 10 (1) | 33 (2) | 0 (0) |
| Countries with nation wide specialized tobacco dependence treatment facilities | 17 (20) | 36 (13) | 19 (7) | 0 (0) | 0 (0) |
| Countries with treatment facilities but only in selected areas | 51 (62) | 50 (18) | 56 (20) | 57 (17) | 37 (7) |
| Countries with no specialized treatment at all | 32 (39) | 14 (5) | 25 (9) | 43 (13) | 63 (12) |
LM = lower-middle-income; UM = upper-middle-income. Missing data ranged from zero to 1%. The base for the quitline questions (in bullet points) for all countries was the 44 countries with quitlines and for the respective income categories was the number of countries having quitlines in each category.
Figure 2Can tobacco users obtain help easily to stop in the following settings? (Overall responses and responses by World Bank income level of respondent countries). The bars show the proportion answering ‘Yes, easily’ (Yes); the other responses were ‘Not easily’ and ‘No’
Availability of medications by World Bank income level of respondent countries
| Availability according to manufacturer (n) | Respondents' awareness of medication availability % (n/base) | |||||
|---|---|---|---|---|---|---|
| Medication | All (n | High (n | UM (n | LM (n | Low (n | All |
| NRT | 51 (62) | 97 (35) | 61 (22) | 17 (5) | 0 (0) | 92 (57/62) |
| Bupropion | 17 (20) | 42 (15) | 14 (5) | 0 (0) | 0 (0) | 100 (20/20) |
| Varenicline | 52 (63) | 83 (30) | 58 (21) | 33 (10) | 11 (2) | 86 (54/63) |
| Cytisine | 10 (12) | 3 (1) | 17 (6) | 13 (4) | 5 (1) | 67 (8/12) |
LM = lower-middle-income; NRT = nicotine replacement therapy; UM = upper-middle-income. The bases used in the final column were the ‘n’ values given for the respective medications in the second column.
Affordability of medications by World Bank income level of respondent countries
| Affordability of medications known to be available % (n/base) | |||||
|---|---|---|---|---|---|
| Medication | All | High | UM | LM | Low |
| NRT | 81 (46/57) | 94 (32/34) | 60 (12/20) | 67 (2/3) | – |
| Bupropion | 70 (14/20) | 80 (12/15) | 40 (2/5) | – | – |
| Varenicline | 48 (26/54) | 64 (18/28) | 32 (6/19) | 29 (2/7) | 0 (0) |
| Cytisine | 100 (8/8) | 100 (1/1) | 100 (4/4) | 100 (2/2) | 100 (1/1) |
LM = lower-middle-income; NRT = nicotine replacement therapy; UM = upper-middle-income. The bases used in the second column were the ‘n’ values for respondents' awareness of availability of the respective medications given in Table 3.