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  • Research article
  • Open Access
  • Open Peer Review

Serial survey shows community intervention may contribute to increase in knowledge of Tuberculosis in 30 districts of India

  • 1,
  • 1Email author,
  • 1 and
  • 1
BMC Public HealthBMC series – open, inclusive and trusted201616:1155

https://doi.org/10.1186/s12889-016-3807-1

  • Received: 26 April 2016
  • Accepted: 28 October 2016
  • Published:
Open Peer Review reports

Abstract

Background

Correct knowledge about Tuberculosis (TB) is essential for appropriate healthcare seeking behaviour and to accessing diagnosis and treatment services timely. There are several factors influencing knowledge about TB. The present study was conducted to assess the change in community knowledge of Tuberculosis (TB) and its association with respondent’s socio-demographic characteristics in two serial knowledge-attitude-practice surveys.

Methods

Community level interventions including community meetings with youth groups, village health committees and self-help groups and through mass media activities were undertaken to create awareness and knowledge about TB and service availability. Increase in knowledge on TB and its association with respondent’s socio-demographic characteristics was assessed by two serial KAP surveys in 2010–2011 (baseline) and 2012–2013 (midline) in 30 districts of India. Correct knowledge of TB was assessed by using lead questions and scores were assigned. The composite score was dichotomized into two groups (score 0–6, poor TB knowledge and score 7–13, good TB knowledge).

Results

In baseline and midline survey, 4562 and 4808 individuals were interviewed. The correct knowledge about TB; cough ≥2 weeks, transmission through air, 6–8 months treatment duration, and free treatment increased by 7 % (p-value <0.05), 11 % (p-value <0.05), 2 % (p-value <0.05), and 8 % (p-value <0.05) in midline compared to baseline, respectively. The knowledge on sputum smear test for diagnosis of TB was 66 % in both surveys while knowledge on availability of free treatment and that TB is curable disease decreased by 5 % and 2 % in midline (p-0.001), compared to baseline, respectively. The mean score for correct knowledge about TB increased from 60 % in baseline to 71 % in midline which is a 11 % increase (p-value <0.001). The misconception regarding on transmission of TB by- sharing of food and clothes and handshake persisted in midline. Respondents residing in northern (OR, 2.2, 95 % CI, 1.7–2.6) and western districts (OR, 3.4, 95 % CI, 2.7–4.1) of India and age groups- 25–34 years (OR, 1.3; 95 % CI, 1.1–1.6) and 45–44 years (OR, 1.4; 95 % CI, 1.1–1.7)- were independently associated with good TB knowledge.

Conclusions

The knowledge about TB has increased over a period of 2 years and this may be attributable to the community intervention in 30 districts of India. The study offers valuable lesson for designing TB related awareness programmes in India and in other high burden countries.

Keywords

  • Tuberculosis
  • Knowledge
  • Attitude and practice (KAP)
  • India
  • Community level

Background

Globally, India is one of the high-burden Tuberculosis (TB) countries contributing to 24 % of estimated new cases and 20 % of TB related deaths in 2013 [1]. The notification rate of all forms of TB (new and relapse) and bacteriologically confirmed cases were 99 and 50 respectively per 100,000 population in 2013 and the notification rate of all TB cases was 113 per 100,000 population. Despite efforts to increase TB case detection, it is estimated that nearly a million cases are being missed in India every year [2]. The missing million could be those who remained un-diagnosed, and not treated for TB or not notified to the programme [3].

In India, private health care facilities are the first and preferred point of contact for 57 % of urban and 48 % of rural population [4]. Almost 50 % of cases detected in private sector are not reported to the programme which is also one of the contributing factor to missing million cases [5]. The lack of awareness and knowledge about symptoms, accurate diagnosis, and treatment of TB hinders the access to free TB services [6]. Deep-rooted stigma and misconceptions to TB also contribute to delay in health care seeking behaviour and prevented people from accessing services [7]. Efforts made by National TB Program (NTP) to establish community level patient centric directly-observed-treatment (DOT) providers was shadowed by stigma and misconceptions towards TB. In addition programme had limited success in engaging local service providers, and community members, to educate people on TB and its free services [8].

Community engagement was on priority and The Global Fund supported TB project -‘Axshya’ (means free of TB in Indian language) (IDA-910-G17-T) was implemented since 2010 to engage civil society to create awareness about TB and the availability of services under NTP [9, 10]. The project activities are primarily aimed at creating awareness and knowledge about TB (symptoms, diagnosis, treatment and availability of free services) among marginalised and vulnerable communities with limited access to TB services in both rural and urban areas. During the first year of project implementation, 2010–11 a baseline survey was conducted to assess the knowledge, attitude and practices (KAP) among key community groups about TB. In the third year of the project 2012–13, a midline survey was conducted to assess the change in KAP and provide evidence-based guidance to identify gaps in implementation and improvise the strategies [9, 10]. The present study analysed the secondary data pertaining to general population from the two serial surveys to assess the knowledge of TB and its association with respondent’s socio-demographic characteristics.

Methods

Study settings

The community level intervention activities of project ‘Axshya’ are implemented in 374 districts across 25 states of India [11]. Project districts were selected based on a composite indicators; those districts having higher number of marginalized and vulnerable population, low TB case detection and limited access to TB services. The interventions include activities to create awareness and knowledge about TB and availability of its free services (symptoms, place of free diagnosis and treatment) through community meetings with village health committees, and various community groups including, youth groups, self-help groups, and village head groups. Information about TB was also disseminated through mid-media activities including; community radio, wall painting and street plays. One of the key activities implemented from April 2013 onwards was house-to-house visits by trained community volunteers to inform household members about TB, and to identify presumptive TB patients with cough ≥ 2 weeks and link them with TB services for diagnosis and treatment. From, April 2013 till March 2014, the project has reached five million households and has contributed directly to diagnosis of more than 14,000 smear positive TB patients [12].

Survey design, sample size, sampling technique and study participants

In 2010–11 and 2012–13, baseline and midline cross-sectional KAP surveys about TB were conducted among general population (excluding TB patients), opinion leaders, non-governmental organizations, health care service providers and TB patients in 30 of the 374 Project Axshya districts [9, 11]. The survey districts were selected through a three staged stratified cluster sampling technique. First, 374 districts were stratified into four zones (north, south, east and west). Of these, 30 representative districts were selected based on population proportion to size (PPS) sampling method. Second, primary sampling units (PSUs)-10 rural and urban villages- were selected in each district using PPS. Third, in each PSU, household listing was carried out which involved assigning numbers to each residential structure, recording address and location of these structures, listing the numbers of individuals in the households, and identification of the head of the household. Then 15 individual respondents (age >18 years, men: women ratio of 1:1) were selected based on the systematic sampling method. To have a statistical power of 80 % to ascertain 2 % or more change at the midline in comparison to baseline, a sample size of 4500 respondents from general population was required. Therefore, sample size with additional 10 % non-response rate was used. The sample size in both surveys was calculated using the same methods [9, 11].

Data collection, entry and analysis

The study was implemented by The Union, South-East Asia Regional Office, New Delhi, India with assistance from field investigators of the social research organization GfK MODE. The primary sampling units (PSUs) were visited by the trained field investigators during the survey period. The survey included a semi-quantitative questionnaire developed in eight local languages to collect the data and was piloted before being administered to the general population. This semi-structured questionnaire included demographic data on age, sex, settlement (urban/rural), monthly household income (in Indian rupees), literacy status (an illiterate was considered as a person who cannot read and write in any language), and zones. The data on heard of TB, source and preferred source of TB information, knowledge and misconceptions on TB symptoms; mode of transmission, diagnosis, and duration of treatment, ‘completely curable’ and directly observed treatment short course (DOTS) were collected. Data collected were entered into Epi-data (version 2.2.1) and exported into Statistical Package for the Social Sciences (SPSS) version 16 for further analysis. Categorical variables were summarized using proportions and compared using Chi-square test, comparison of mean were done by Student’s t-test and Analysis of variance (ANOVA) and p-value of less than 0.05 was considered statistically significant.

For assessing the predictors of good knowledge, a univariate and multivariate logistic regression analysis was performed. The correct knowledge of TB among the study participants was assessed using 13 questions on ‘cough ≥ 2 weeks’, ‘coughing blood’, ‘chest pain’, ‘fever’, ‘weight loss’ and, ‘night sweats’ and ‘loss of appetite’ as symptoms of TB, ‘air’ as a mode of transmission of TB, ‘sputum smear test’ as a diagnostic tool, TB is ‘completely curable, duration of treatment of ‘6–8 months or more’, knows as DOTS and ‘DOTS is free’. Each correct answer was scored “1” and incorrect answer (including don’t know) was scored “0”. The cut off score for correct knowledge was taken at more than 50 % i.e., more than 6 out of 13. The composite score was dichotomized into two groups (score 0–6, poor TB knowledge and score 7–13, good TB knowledge).

Results

Respondents and heard of TB

Baseline and midline surveys interviewed 4562 and 4804 individuals, respectively (Table 1). Sex and geographical distribution of the respondents were not statistically significant different between the surveys (p > 0.05). There were subtle significant differences in age groups, settlements, education and income level between two surveys (p < 0.001) but overall the demographic data were quite similar in both surveys. Of those interviewed, 3822 (84 %) in baseline and 4211(88 %) in midline had heard of TB, a 4 % increase in comparison to baseline survey (p < 0.001) (Table 2).
Table 1

Socio-demographic characteristics of survey respondents in baseline (2010–2011) and midline (2012–2013) survey in 30 districts in India

Characteristics

Baseline survey

Midline survey

Total

 

Respondents

Respondents

Respondents

n

%

n

%

n

%

p-value

Total

4562

 

4804

 

9366

  

Sex

 Women

2242

49

2396

50

4638

50

0.29

 Men

2320

51

2408

50

4728

50

 

Age (years)

 18–24

692

15

686

17

1378

14

<0.001

 25–34

1266

28

1272

31

2538

26

 

 35–44

1427

31

1238

30

2665

26

 

 45–54

957

21

865

21

1822

18

 

  > 55

220

5

743

18

963

15

 

Settlement

 Rural

3388

74

3360

70

6748

72

<0.001

 Urban

1174

26

1440

30

2614

28

 

Educationa

 Illiterate

1394

31

1110

23

2504

27

<0.001

 Literate

3168

69

3668

77

6836

73

 

Income

  < 4000

2875

63

2165

45

5040

54

<0.001

  > 4001

1580

35

2422

50

4002

43

 

 Don't know

107

2

217

5

324

3

 

Zones

 North

1067

23

1123

23

2190

23

0.98

 East

1234

27

1279

27

2513

27

 

 West

1202

26

1280

27

2482

27

 

 South

1059

23

1122

23

2181

23

 

aEducation information not available for 26 respondents in midline

Table 2

Knowledge of Tuberculosis among respondents in baseline (2010–2011) and midline (2012–2013) surveys in 30 districts in India

Key knowledge’s on TB

Baseline (n = 3822)

Midline (n = 4211)

Total

***p-value

n

%

n

%

n

%

Symptoms*

 Cough of ≥2 weeks

2829

74

3421

81

6250

78

<0.001

 Chest pain

1147

30

1138

27

2285

28

0.112

 Coughing blood

1721

45

2311

55

4032

50

<0.001

 Fever

1262

33

1514

36

2776

35

0.090

 Night sweat

77

2

322

8

399

5

0.060

 Weight loss

650

17

1075

26

1725

21

<0.001

 Loss of appetite

345

9

679

16

1024

13

0.002

 Don’t know

421

11

282

7

703

9

0.070

Mode of transmission*

 Air

2293

60

2973

71

5266

66

<0.001

 Sharing of food

1184

31

1568

37

2752

34

<0.001

 Sharing bed clothes

535

14

875

21

1410

18

0.005

 Hand shake

688

18

394

9

1082

13

<0.001

 Don’t know

764

20

580

14

1344

17

0.004

Diagnosis*

 Sputum

2523

66

2764

66

5287

66

1.000

 Chest X-ray

2332

61

2281

54

4613

57

<0.001

 Other (blood, skin, urine)

382

10

59

1

441

5

0.020

 Don’t know

573

15

582

13

1155

14

0.100

Curability

 Yes completely

3364

88

3505

83

6869

85

<0.001

 Yes partially

305

8

450

11

755

9

0.170

 No

38

1

51

1

89

1

1.000

 Don’t know

115

3

205

5

320

4

0.390

Duration of treatment

 4wks or less

115

3

97

2

212

3

0.640

 1–5mths

612

16

358

9

970

12

0.002

 6–8mths

1759

46

2028

48

3787

47

0.220

  > 8mths

306

8

777

18

1083

13

<0.001

 Don’t know

1030

27

951

23

1981

25

0.124

Knows DOTS

1059

28

1094

26

2153

27

0.043

**Knows DOTS is free

847

80

957

87

1804

22

<0.001

****Heard of TB

3822

84

4211

88

8033

100

<0.001

*Multiple response, **Among those who knew DOTs, ***Chi-square test for comparison of proportions,****Respondents for baseline and midline are 4652 and 4804 respectively. Project is raising awareness on drug sensitive as well as drug resistant tuberculosis and the treatment duration are 6-8 months and >8 months are considered correct

Correct knowledge and misconception on TB

The knowledge on common symptoms of TB (except chest pain) increased in midline in comparison to the baseline (Table 2). The correct knowledge on the most common symptom of TB- cough ≥ 2 weeks increased from 74 % in baseline to 81 % in midline, a 7 % increase (p-value <0.05). Similar significant increase in knowledge were noted in midline survey for, other common symptoms, coughing of blood (45 % vs 55 %), weight loss (17 % vs 21 %) and loss of appetite (9 % vs 16 %) in comparison to baseline (p-value <0.05).

The correct knowledge about mode of transmission of TB through air increased from 60 to 71 % in the midline, a 11 % increase (p-value <0.001). The misconception that TB could be transmitted through sharing of food and clothes showed a marginal increase in midline (37 % and 21 %) compared to the baseline (31 % and 14 %), respectively (p-value <0.05). However, the misconception on transmission through handshake reduced from 18 % in baseline to 12 % in midline (p-value <0.001). The knowledge that diagnosis of TB is done by sputum smear examination showed no change in both surveys (66 %, p = 1.00). The misconceptions on the diagnostic tests (chest X-ray and others blood and tuberculin test) significantly reduced in midline in comparison to the baseline (p- < 0.001).

The response to TB is “completely curable”, decreased to 5 % in midline. The correct knowledge about treatment duration of TB (≥6 months) increased from 54 % in baseline to 66 % in midline (p-value <0.001). The knowledge on DOTS decreased by 2 % in midline in comparison to baseline (p-value <0.05). Among those who were aware of DOTS, 88 % knew it was available free of cost in midline, compared to 80 % in the baseline (p-value <0.05). In all knowledge areas, individuals who said "don’t know" declined in the midline.

The mean score for correct knowledge was 5.1 ± 2.3 in baseline which increased to 5.7 ± 2.2 in midline (p-value <0.05) with 12 % increase. The mean score changed slightly for all characteristics in midline in comparison to baseline except for respondents residing in urban areas (Table 3).
Table 3

Mean score of TB Knowledge by selected respondent's sociodemographic characteristics in baseline (2010–2011) and midline (2012–2013) surveys in 30 districts of India

Characteristics

 

Mean TB knowledge

Baseline survey*

 

Midline survey*

Sex

 Female

1806

5

2068

5.5

 Male

2016

5.36

2143

5.8

Age (years)

 18–24

609

5.32

629

5.6

 25–34

1057

5.08

1134

5.7

 35–44

1209

5.09

1068

5.6

 45–54

787

5.21

748

5.2

  > 55

160

5.34

632

5.6

Settlement

 Rural

2759

4.85

2915

5.5

 Urban

1063

6.12

1296

6.0

Education

 Illiterate

989

4.32

889

5.4

 literate

2833

5.53

3296

5.8

Income

    

  < 4000

2291

4.89

528

5.4

  > 4001

1531

5.64

3683

5.8

Zones

 North

1020

3.5

990

5.6

 East

1050

3.6

1182

5.5

 West

979

3.9

1130

6.0

 South

773

3.6

909

5.1

*All p-value within groups (ANOVA) is <0.001. Range in baseline survey; 0–11; Range in midline survey, 0–13

Source and preferred source of TB related information

The most common sources of TB related information were television (37 %, 1657) and hospital doctors (37 %, 1665) in baseline and interpersonal communication (58 %) in midline (Table 4). The source of TB related information through all means in midline increased in comparison to baseline. Strikingly, information through interpersonal communication (IPC) changed from 27 % in baseline to 58 % in midline with 115 % increase (p-value, <0.001). Television was also preferred source of information in the midline which increased from 44 to 61 % (p-value <0.05).
Table 4

Source and preferred sources of tuberculosis related information among general population in baseline (2010–11) and midline (2012–13) surveys in 30 districts in India

Variable

Baseline (n = 4652)

Midline (n = 4804)

Total (n = 9456)

p-value*

n

%

n

%

n

%

 

Source of TB related information

 Television

1675

37

2697

56

4372

47

<0.001

 Hospital doctors

1665

37

2055

43

3720

40

<0.001

 Newspaper/magazine/hoarding/posters

1416

31

1730

36

3146

34

0.003

 IPC

1233

27

2799

58

4032

43

<0.001

 Radio

944

11

584

12

1528

16

0.54

Source of preferred TB related information

 Television

2007

44

2942

61

4949

53

<0.001

 Hospital doctors

2185

48

2565

53

4750

51

<0.001

 News paper/magazine

1457

31

1176

24

2633

28

<0.001

 IPC

2315

51

2916

60

5231

56

<0.001

IPC Interpersonal Communication, *Chi-square test for comparison of proportion

Association of TB knowledge with respondents background characteristics

Univariate logistic regression analysis was carried and those respondent's background socio-characteristics with p-value <0.05 were included into the multiple logistic regression analysis to determine the association of respondent’s background characteristics on the outcome measures (good knowledge about TB before [baseline survey] and during [midline survey] the project interventions). The age groups-25–34 years (OR, 1.3), and 35–44 years (OR, 1.4), and respondents residing in North (OR, 2.2), East (OR, 2.1) and West (OR, 3.4) were more likely to have correct TB knowledge in midline than baseline survey (p-value <0.05) (Table 5). People with higher income group >4000 Indian Rupees per month had better knowledge about tuberculosis (p- < 0.001). The correct TB knowledge was not associated with rural (OR, 0.4 vs 0.8) and illiterate (OR 0.4 vs 0.5) groups in both surveys, the odds of having correct knowledge among these groups improved in the midline albeit at low level.
Table 5

Univaraite and Multivariate logistic regression analysis of tuberculosis knowledge by selected respondent's sociodemographic characteristics in baseline (2010–2011) and midline (2012–2013) surveys in 30 districts of India

Characteristics

Number (%) with good TB knowledge

Baseline survey

Number (%) with good TB knowledge

Midline survey

OR (95 % CI)¥

OR (95 % CI)€

OR (95 % CI)¥

OR (95 % CI)€

Sex

 Female

472 (26)

0.8 (0.7–0.9)*

0.8(0.7–0.9)*

624 (30)

1.3 (1.1–1.5)*

0.7(0.6–0.9)*

 Male

632 (31)

1.0

1.0

783 (37)

1.0

1.0

Age (years)

 18–24

203 (33)

1.0

-

629 (32)

1.0

1.0

 25–34

336 (32)

0.9(0.7–1.1)

-

419 (37)

1.3(1.0–1.5)*

1.3(1.1–1.6)*

 35–44

319 (26)

0.7(0.6–0.9)

-

380 (36)

1.2(0.9–1.4)

1.4(1.1–1.7)*

 45–54

205 (26)

0.7(0.5–0.9)

-

237 (32)

0.9(0.7–1.2)

1.1(0.8–1.4)

  > 55

41 (26)

0.8(0.5–1.3)

-

171 (27)

0.7(0.6–1.0)

0.9(0.7–1.2)

Settlement

 Rural

618 (22)

0.4 (0.4–0.5)*

0.4(0.4–0.5)*

891 (31)

1.5(1.3–1.7)*

0.8(0.7–0.9)

 Urban

486 (46)

1.0

1.0

516 (40)

1.0

1.0

Education

 Illiterate

159 (16)

0.5 (0.4–0.6)*

0.5 (0.3–0.4)*

167 (19)

2.5(2.1–3.0)*

0.5(0.3–0.6)*

 literate

945 (33)

1.0

1.0

1225 (37)

1.0

1.0

Income

  < 4000

537 (23)

0.6(0.5–0.8)*

0.7 (0.5–0.8)*

529 (29)

1.3(1.2–1.5)*

0.7(0.6–0.9)*

  > 4001

567 (37)

1.0

1.0

878 (36)

1.0

1.0

Zones

 North

191 (19)

1.1(0.8–1.3)

1.1(0.8–1.4)

315 (32)

1.5(1.2–2.8)*

2.2 (1.7–2.6)*

 East

373 (36)

2.3 (1.9–3.0)*

2.0(0.9–3.0)*

374 (32)

1.5(1.2–1.8)*

2.1(1.6–2.5)*

 West

380 (39)

2.3 (1.8–2.9)*

2.3(2.2–3.2)*

507 (45)

2.6(2.2–3.2)*

3.4(2.7–4.1)*

 South

160 (21)

1.0

 

211 (23)

1

1.0

OR odds ratio, Note: *OR, Odds of having good tuberculosis knowledge of respondents relative to the reference group with an OR of 1.0; ¥, Univariate logistic regression analysis; €, Multivariate logistic regression analysis; In baseline, all demographic variables were significant (p-value <0.05) except for age in Univariate logistic regression analysis and were included multiple logistic regression model; In midline, all variables were significant in Univariate logistic regression analysis and were included in logistic regression analysis; Income is per month; Income is in Indian Rupees (1US$ = Rs.62)

Discussion

The survey results show an increase in the knowledge and awareness of TB among the general population. The correct knowledge in areas like, symptoms, transmission, diagnosis, duration of treatment also considerably increased in the midline. The number of presumptive TB patients examined in the 374 project districts increased from 99,07,457 (2010–2011) to 10,257,051 (2012–2013), a 4 % change [13, 14]. This increase in correct knowledge and improved utilization of TB diagnostic services could be attributed to the community level interventions though this requires more evidence to establish association.

Knowledge about chest pain as symptoms, TB is completely curable, and DOTS did not change much which requires focused messages during the ongoing interventions. The misconception on the diagnostic tests “chest X-ray, blood examination and skin test” was reduced but the misconception that TB spreads “through sharing food and clothes” still persists, also needs additional attention. Small scale studies published from India have shown that the awareness of TB (94 %), and knowledge on cough (73 %, 82 %), mode of transmission (65 %, 81 %), sputum test (40 %), and duration of treatment (6.9 %) have varied in different settings and population studied [1517]. Unlike those studies, these serial surveys have shown that the level of awareness and knowledge on TB has increased over 2 years of community level interventions.

Most common source of TB related information was television and healthcare providers in baseline which changed to Interpersonal Communication (IPC) followed by television in the midline. Television was the preferred source of information for TB in midline which reflects the potential of mass media strategies to educate the community. The television users among the respondents increased from 59 % in baseline to 77 % in the midline which might have indirectly influenced the increase source of information as television but this needs additional investigation. In a similar setting in Bangladesh, mass-media intervention by government and Bangladesh Rural Advancement Committee (known as BRAC) found to have increased awareness at community level [18]. IPC as the commonest source of information in the midline could be due to the project interventions like, community meetings and house-to-house visits by community volunteers and sensitization of community health care providers who are the first point of contact to almost half of the population in the intervention districts [11, 13, 14]. IPC as preferred source of TB related information has been described as an effective strategy and has resulted to increase visits to NTP services [19]. This justifies the importance of strategizing communication channels like IPC among vulnerable and marginalized communities. Multiple logistic regression analysis was performed to determine the association of respondent’s socio-characteristics on the outcome measures (correct knowledge). There were significant difference in age, settlement, education and income of respondents between two survey. In both survey, the respondents were selected taking into consideration the sex (1:1) and geographic region (eastern, northern, western and southern). However the age, settlement, education, and income were not among the selection criteria. This could be the reason for differences. In both surveys, the association of correct knowledge was seen with individuals residing in eastern and western zones. The association was significant for north in the midline survey and also for the older age groups (25–34, 35–44 years).Contradicting to our findings, older age groups (>30 years) were less likely to have high knowledge than young in a community in Ethiopia [20]. The respondents in East had good TB knowledge in baseline survey and the association did not increase in midline. Other projects and ongoing effort of NTP might also have contributed to this increase in knowledge.

The survey showed that women did not have good TB knowledge as compared to men. In midline this was more remarkable. Also coverage in all areas of knowledge among women was less than 50 % in both surveys. This could be partly due to a men dominated society in India where women hesitate to interact with strangers or even community health care workers. Gender inequality in health (including TB) is a major issue in India and gender sensitive communications interventions are to be planned within the project [21]. Illiterates were less likely to have good TB knowledge and need to develop strategies to increase awareness. Similar to the finding in our study, women and illiterates were less likely to have high TB knowledge in a survey in Ethiopia [20]. IPC is a preferred source of TB related information among the participants and this strategy could be effectively used to increase TB knowledge in the women and illiterates.

Despite increase in TB knowledge in the midline, there are numerous bottlenecks in implementation which includes wide and diverse geographical coverage, transportation inequalities, semantic barrier, socio cultural inequalities, standardization of messages, non-uniform communication channels, and varied capacity of NGOs, CBOs and community volunteers, and non-uniform NTP services. There are some limitations in this study: (i) the study represents 374 project districts and the data presented here cannot be generalized for the entire nation, (ii) the participants in the two surveys were different, (iii) the study is powered at the zonal level, and (iv) increase in TB knowledge could also be due to other intervention and projects, NTP efforts and due to increase in education and economic level of the respondents interviewed at midline. Further research is needed to understand cause effect relationship in the project with increase in knowledge and changes in TB services seeking behaviour, presumptive TB patient examination and TB patient diagnosed in NTP disaggregated by age, gender and socio-economic factors.

Conclusion

The knowledge of TB among general population in midline survey considerably increased than baseline however misconception on the mode of transmission and diagnosis still prevailed which needs to be strengthened through interpersonal communication. Correct knowledge was associated with, males, older age group, high income, literacy and individuals residing in north, east and west. Community level interventions for TB prevention and care in India, have possibly contributed to the increased TB knowledge which could be replicated in other high burden countries.

Abbreviations

CBO: 

Community Based Organization

CV: 

Community volunteer

DOTS: 

Directly observed treatment short course

IPC: 

Interpersonal communication

KAP: 

Knowledge Attitude Practice

NGO: 

Non-government organization

NTP: 

National Tuberculosis Programme

TB: 

Tuberculosis

Declarations

Acknowledgement

We would like to take this opportunity to acknowledge the GfK MODE’s research team, and Dr Karuna Sagili, Research Associate at The Union South East Asia Office.

Funding

The two serial surveys are part of the Axshya Project which is supported by The Global Fund to Fight against AIDS, TB and Malaria.

Availability of data and materials

The baseline and midline reports are publically available on Project Axshya website.

Authors’ contributions

The following concept, analysis was led by BT and BMP. Subsequent review and contributions were made by SSC and JT. Final manuscript was read and approved by all authors.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The Ethics Advisory Group of the International Union Against Tuberculosis and Lung Disease (The Union), Paris, France, approved the study. Local ethics approval was obtained from the independent ethics committee of Resource Group for Education and Advocacy for community Health (REACH), Chennai, India. The participants in the study were briefed about the purpose and the information being collected. Following this participants who gave consent (in writing) were included in the study. Right Hand thumb impression was used on the consent form in case of illiterate participant.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
International Union Against Tuberculosis and Lung Disease, C-6, Qutub Institutional Area, New Delhi, 110016, India

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Copyright

© The Author(s). 2016

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