| Literature DB >> 24900921 |
Lakshmi Krishnan1, Tokunbo Akande2, Anita V Shankar2, Katherine N McIntire1, Celine R Gounder1, Amita Gupta3, Wei-Teng Yang2.
Abstract
Background. Tuberculosis (TB) remains a significant global public health problem with known gender-related (male versus female) disparities. We reviewed the qualitative evidence (written/spoken narrative) for gender-related differences limiting TB service access from symptom onset to treatment initiation. Methods. Following a systematic process, we searched 12 electronic databases, included qualitative studies that assessed gender differences in accessing TB diagnostic and treatment services, abstracted data, and assessed study validity. Using a modified "inductive coding" system, we synthesized emergent themes within defined barriers and delays limiting access at the individual and provider/system levels and examined gender-related differences. Results. Among 13,448 studies, 28 studies were included. All were conducted in developing countries and assessed individual-level barriers; 11 (39%) assessed provider/system-level barriers, 18 (64%) surveyed persons with suspected or diagnosed TB, and 7 (25%) exclusively surveyed randomly sampled community members or health care workers. Each barrier affected both genders but had gender-variable nature and impact reflecting sociodemographic themes. Women experienced financial and physical dependence, lower general literacy, and household stigma, whereas men faced work-related financial and physical barriers and community-based stigma. Conclusions. In developing countries, barriers limiting access to TB care have context-specific gender-related differences that can inform integrated interventions to optimize TB services.Entities:
Year: 2014 PMID: 24900921 PMCID: PMC4037602 DOI: 10.1155/2014/215059
Source DB: PubMed Journal: Tuberc Res Treat ISSN: 2090-150X
Figure 1Study selection process.
Quality of included studies.
| Validity assessment toola | Score | |||
|---|---|---|---|---|
| Item number | Question | Yes ( | No ( | Unclear ( |
| 1 | Is there a clear statement of research aims? | 28 | 0 | 0 |
| 2 | Is the research design appropriate to address the aims? | 21 | 0 | 7 |
| 3 | Are the data collection methods appropriate to obtain the aims? | 23 | 2 | 3 |
| 4 | Are the recruitment/sampling strategies appropriate for the aims? | 21 | 0 | 7 |
| 5 | Is the study context clearly described? | 27 | 1 | 0 |
| 6 | Have ethical considerations been addressed? | 17 | 0 | 11 |
| 7 | Is there a clear description of the data collection procedures? | 26 | 2 | 0 |
| 8 | Is the data analysis appropriate for research questions? | 26 | 0 | 2 |
| 9 | Are the findings clearly presented? | 23 | 5 | 0 |
| 10 | Are the claims made supported by sufficient evidence? | 24 | 4 | 0 |
aAfter examining several quality criteria for qualitative research [14–16], we developed an adapted 10-question version of the Critical Appraisal Skills Programme (CASP) quality assessment tool based on factors determined to critically inform our review process. Our validity assessment was used to examine the quality of data from the included studies informing this review, not to exclude studies. For questions 1, 4, 5, 6, 7, and 8, studies were scored based on the presence (yes), absence (no), or insufficient information (unclear) regarding the stated criteria. For questions 2, 3, 9, and 10, a subjective review and assessment was performed to determine if the study had any minor or major issues related to compliance with the stated criteria. Accordingly, studies were scored “yes” if either no issues or minor issues were found, “no” if major issues were found, and “unclear” if there was insufficient information.
Figure 2Conceptual framework illustrating barriers and delays that limit access to TB diagnostic and treatment services. Figure 2 illustrates the conceptual framework of the TB care continuum from symptom onset to treatment initiation that was used to define the barriers and delays that limit access to TB diagnostic and treatment services at the individual and provider/system levels. Individual-level barriers impact access to TB services along the full continuum of TB care, and the provider/system-level barriers impact TB service access from patient presentation to any health care provider through TB treatment initiation. Barriers may contribute to delays between each step along the TB care continuum. Accordingly, we define individual-level delay as the delay between symptom onset and presentation to any health care provider; provider/system delay as the delay between presentation to any health care provider and diagnosis, the delay between presentation to any health care provider and treatment initiation, or the delay between diagnosis and treatment initiation; and combined individual/provider/system delay as the delay between symptom onset and diagnosis or the delay between symptom onset and treatment initiation.
Characteristics of included studies.
| First author | Country | Number of participants | Percentage of | Participant | Research | Data collection | Type of barrier reported |
|---|---|---|---|---|---|---|---|
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Atre | India | 160 | 50 | Community members | Rural | Interviews | Individual-level |
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| Deribew | Ethiopia | 750 | 58 | Community members | Rural and urban | Questionnaires; | Individual-level |
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| Mavhu | Zimbabwe | 40 | 45 | Community members | Urban | Interviews; FGDs | Individual-level |
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| Onifade | Peru | 53 | NR | TB patients; health workers | Urban | Interviews; FGDs | Individual-level |
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| Rundi | Malaysia | 58 | 53 | TB patients; family members; health workers | Rural | Interviews | Individual-level |
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| Skordis-Worrall | South Africa | 8 FGD | NR | TB patients; community members | Urban | FGDs | Individual-level |
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| Gosoniu | Bangladesh, India, Malawi | 329 | 49 | TB patients | Rural and urban | Interviews | Individual-level |
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| Jaggarajamma | India | 276 | 31 | TB patients | Rural and urban | Interviews; FGDs | Individual-level |
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| Somma | Bangladesh, India, Malawi, Colombia | 400 | 50 | TB patients | Rural and urban | Interviews | Individual-level |
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| Weiss | Bangladesh, India, Malawi | 329 | 49 | TB patients | Rural and urban | Interviews | Individual-level |
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| Baral | Nepal | 34 | NR | TB patients; family members; community members | Kathmandu Valley | Interviews | Individual-level |
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| Ganapathy | India | 16 FGD | NR | Community members | Urban | FGDs | Individual-level |
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| Karim | Bangladesh | 102 | 49 | TB patients | Rural | Interviews | Individual-level |
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| Yan | China | 16–22 FGD | NR | TB patients; community members | Rural | Questionnaires; interviews; FGDs | Individual-level |
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| Zhang | China | 714 | 50 | Rural farmers | Rural | FGDs | Individual-level |
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| Fochsen | India | 22 | 23 | Health care providers | Rural and urban | Interviews | Individual-level |
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| Atre | India | 160 | 50 | Community members | Rural | Interviews | Individual-level |
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| Eastwood | The Gambia | 45 | 40 | TB patients; health | Medical unit | Questionnaires; | Individual-level |
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Rodríguez-Reimann 2004 [ | USA | 166 | 53 | Community members w/TB positive family member | Urban | Questionnaires | Individual-level |
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| Sanou | Burkina Faso | 28 FGD | NR | TB patients; non-TB patients; community members; traditional healers | Rural and urban | Interviews; FGDs | Individual-level |
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| Thorson | Vietnam | 5 FGD | 33 | Physicians | General hospital; TB units | Interviews; FGDs | Individual-level |
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| Xu | China | 16 FGD | 31 | TB patients; health workers; health providers | Rural | FGDs | Individual-level |
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| Long | Vietnam | 16 FGD | NR | TB patients; non-TB patients | Rural and urban | FGDs | Individual-level |
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| Johansson | Vietnam | 4 FGD | NR | TB patients; community members | Rural and urban | FGDs | Individual-level |
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| Ngamvithayapong | Thailand | 85 | 33 | Community members; healthcare staff | Rural and urban | FGDs | Individual-level |
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| Long | Vietnam | 16 FGD | NR | TB patients; non-TB patients | Rural and urban | FGDs | Individual-level |
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| Rajeswari | India | 304 | 39 | TB patients; non-TB patients | Rural and urban | Interviews; FGDs | Individual-level |
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| Liefooghe | Pakistan | 48 | 50 | TB patients | Mission hospital | FGDs | Individual-level |
FGD: focus group discussion; NR: not reported; TB: tuberculosis; WHO: World Health Organization.
aWHO regions: AFRO (African Region), AMRO (Americas Region), SEARO (Southeast Asian Region), and WPRO (Western Pacific Region).
Summary of emergent gender-related themes by barrier type.
| Barrier type | Gender-related themesa | |
|---|---|---|
| Gender similarities | Gender differences | |
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| Financial | Both genders cite finances as a key barrier to seeking care; cost of TB treatment and diagnosis is a shared burden; economic burden affects both genders; cost of healthcare is a gender-wide deterrent to seeking services; and no gender difference in debt is incurred for treatment | Finances have a greater burden on men since they are breadwinners; TB treatment means time away from work and lost earning potential. Less financial independence for women reliant upon families or in-laws; family resource allocation preferring men and children's health above that of women; women's lack of financial autonomy a barrier to accessing care and care decision-making; men with greater access to money and treatment decision-making power; direct treatment costs for women sometimes greater than those for men |
| Physical | Distance from work and home to treatment facilities was reported as a barrier to accessing care; long traveling times to hospitals is a barrier | Distance from work to treatment affects men more heavily |
| Stigma | Adverse marital impact of TB-related stigma for both men and women (prospects and spousal support); both genders naming young unmarried people as the group at highest risk of stigma; both genders reporting hiding their diagnosis or describing their disease vaguely for fear of stigma; fear of social isolation reported by both genders; TB stigmatized, but not as much as AIDS; TB stigma not eliminated after treatment | Females expect more stigma in family and reported more isolation, psychosocial consequences, fear of divorce, losing spouses, or compromised marital prospects for unmarried children; TB in women is associated with loose and immoral behavior, leading to greater burden of stigma and more difficulty getting married; women are more likely to hide their diagnosis or delay seeking treatment because of stigma |
| Health literacy | Low education level correlating with greater fear of TB and social isolation; widespread community beliefs that TB is incurable or that TB patients cannot have healthy children; community perceptions that even treated TB can harm offspring, leading to limited marriage prospects | Higher proportion of females displaying prejudice towards TB due to limited knowledge; women and the young with less knowledge than men and the elderly; men with greater formal education and TB knowledge than young and older women; women more likely to regard TB as fatal or incurable; women with limited knowledge in health seeking; men knowing more about HIV/TB transmission than women |
| Sociodemographic barriers | None | Women need to ask permission from husbands or elders to seek treatment; treatment of children and men is prioritized; diagnosed women receive less family support than men; women are expected to care for husbands with TB, whereas men are not expected to care for wives with TB; more males report that family members have a positive attitude towards their disease; men in societies where masculine resilience is valued are more likely to delay seeking treatment |
| Provider/system | Both genders report long waiting times and poor conditions of TB facilities, unreliability of TB diagnostics as barriers; several studies reported government facilities as gender-neutral and fair | Women are more affected by lack of privacy in health facilities; women are more likely to perceive female health care workers as sympathetic and adhere to treatment; DOTS is more distressing for women; women are more likely to consult traditional healers, self-medicate, or use private physicians over government facilities |
AIDS: autoimmune deficiency syndrome; DOTS: directly observed therapy; HIV: human immunodeficiency virus; TB: tuberculosis.
aSeveral independent reviewers identified qualitative gender-related themes using “inductive coding” and extracted specific barriers (i.e., individual-level financial, stigma, physical, health literacy, sociodemographic, and provider/system-level barriers). Emergent themes were compiled and then synthesized in Table 3.
Box 1Financial issues.
Box 2Physical factors.
Box 3Stigma.
Box 4Health literacy.
Box 5Women's status and roles in society.
Box 6Provider/system-level factors.
Figure 3Decentralized model of TB care delivery highlighting suggested interventions to target identified barriers. Figure 3 illustrates the transition from the traditional, centralized model of TB care delivery (central circle with the cross), which uses primary, secondary, and tertiary facility-based TB care (including government hospitals as well as community and nongovernmental organization clinics), to a decentralized model of TB service delivery that incorporates several interventions to overcome the individual-level and provider/system-level barriers identified in this review. Suggested interventions are listed with the specific barriers that each may address.