| Literature DB >> 30047365 |
Raluca Barac1,2, Daina Als2, Amruta Radhakrishnan2, Michelle F Gaffey2, Zulfiqar A Bhutta3,2,4, Melanie Barwick1,5,2,3.
Abstract
Past research has focused on typhoid fever surveillance with little attention to implementation methods or effectiveness of control interventions. This study purposefully sampled key informants working in public health in Chile, India, Pakistan, Bangladesh, Thailand, Vietnam, South Africa, and Nigeria to 1) scope typhoid-relevant interventions implemented between 1990 and 2015 and 2) explore contextual factors perceived to be associated with their implementation, based on the Consolidated Framework for Implementation Research (CFIR). We used a mixed methods design and collected quantitative data (CFIR questionnaire) and qualitative data (interviews with 34 public health experts). Interview data were analyzed using a deductive qualitative content analysis and summary descriptive statistics are provided for the CFIR data. Despite relatively few typhoid-specific interventions reportedly implemented in these countries, interventions for diarrheal disease control and regulations for food safety and food handlers were common. Most countries implemented agricultural and sewage treatment practices, yet few addressed the control of antibiotic medication. Several contextual factors were perceived to have influenced the implementation of typhoid interventions, either as enablers (e.g., economic development) or barriers (e.g., limited resources and habitual behaviors). Consolidated Framework for Implementation Research factors rated as important in the implementation of typhoid interventions were remarkably consistent across countries. The findings provide a snapshot of typhoid-relevant interventions implemented over 25 years and highlight factors associated with implementation success from the perspective of a sample of key informants. These findings can inform systematic investigations of the implementation of typhoid control interventions and contribute to a better understanding of the direct effects of implementation efforts.Entities:
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Year: 2018 PMID: 30047365 PMCID: PMC6128369 DOI: 10.4269/ajtmh.18-0110
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Summary of participant demographic characteristics
| Vietnam ( | Thailand ( | Bangladesh ( | Pakistan ( | Chile ( | India ( | Nigeria ( | South Africa ( | |
|---|---|---|---|---|---|---|---|---|
| Gender, | ||||||||
| Males | 2 | 3 | 1 | 2 | 2 | 2 | 5 | 2 |
| Females | 3 | 2 | 1 | 2 | 2 | 2 | 1 | 2 |
| Age in years, M (SD) | 51.0 (12.3) | 53.8 (11.7) | 65.0 (0.0) | 59.3 (9.6) | 65.8 (14.6) | 62.8 (8.8) | 55.0 (7.9) | 52.3 (3.1) |
| Education, | ||||||||
| PhD | – | – | 1 | 1 | – | – | – | 2 |
| MD | 1 | 2 | – | 2 | 2 | 1 | – | – |
| MD, PhD | 3 | – | – | – | – | 2 | 1 | – |
| MD, MPH | – | 1 | – | 1 | – | 1 | – | – |
| MD, MSc | 1 | – | – | – | – | – | – | – |
| MSc | – | – | – | – | – | – | 5 | 1 |
| MPH | – | 1 | 1 | – | – | – | – | – |
| Doctor in Veterinary Medicine | – | 1 | – | – | 1 | – | – | – |
| Doctor in Veterinary Medicine, MPH | – | – | – | – | 1 | – | – | – |
SD = standard deviations. Age, gender, and education characteristics of interview participants in the eight case countries of interest.
Note: Demographics data were available for three of the four participants.
Figure 1.Summary of typhoid-relevant interventions that have been implemented within the eight case countries from 1990 to 2015. This figure outlines the interventions that may have impacted typhoid fever as per in-country interview respondents. The eight intervention categories are listed vertically with specific interventions identified in each country. The eight countries of interest are listed horizontally. Where respondents could identify interventions at the national level, it is depicted with a red circle. Green crosses show interventions where the level of implementation was not specified. Subnational interventions are shown as blue diamonds.
Figure 2.Perceived most and least effective typhoid-relevant interventions implemented in eight countries between 1990 and 2015 based on interview data. This figure highlights the eight case countries on a map with the typhoid-relevant interventions identified by interview participants as being the most and least effective for typhoid control.
Descriptive statistics (M [SD]) for the five CFIR domains and the constructs with the highest ratings, by country*
| Vietnam | Thailand | Bangladesh | Pakistan | India | Nigeria | South Africa | |
|---|---|---|---|---|---|---|---|
| Intervention characteristics | 4.00 (0.44) | 3.55 (0.62) | 4.88 (0.18) | 3.70 (0.59) | 4.06 (0.24) | 3.58 (0.36) | 4.00 (0.76) |
| Evidence strength and quality | – | – | 5.00 (0.00) | 4.00 (0.82) | 4.50 (0.58) | 4.67 (0.52) | – |
| Relative advantage | – | 4.80 (0.45) | 5.00 (0.00) | 4.00 (0.00) | – | 4.67 (52) | – |
| Adaptability | 4.80 (0.45) | 4.80 (0.45) | – | – | 4.50 (0.58) | 4.67 (0.52) | 4.67 (0.58) |
| Outer setting | 3.90 (0.38) | 3.05 (0.48) | 2.25 (–) | 3.81 (0.75) | 3.25 (0.54) | 3.21 (0.25) | 3.25 (1.06) |
| Patient needs and resources | 4.80 (0.45) | 4.60 (0.89) | 4.00 (–) | – | 4.50 (0.58) | 4.67 (0.52) | 3.50 (2.12) |
| External policy and incentives | – | – | – | 4.00 (0.82) | – | – | 3.50 (0.71) |
| Inner setting | 4.27 (0.36) | 3.90 (0.11) | 3.71 (0.65) | 3.46 (0.55) | 3.38 (0.43) | 3.93 (0.23) | 3.32 (0.92) |
| Organizational incentives and rewards | – | – | 4.00 (1.41) | 4.25 (0.50) | – | – | – |
| Available resources | 4.40 (0.89) | 4.60 (0.55) | 5.00 (–) | – | 4.25 (0.96) | 4.83 (0.41) | 4.00 (1.73) |
| Staff characteristics | 4.04 (0.30) | 2.96 (0.61) | 3.00 (–) | 3.15 (0.93) | 4.15 (0.68) | 3.00 (0.91) | 3.33 (0.81) |
| Knowledge and beliefs about the intervention | 4.60 (0.55) | 4.00 (0.71) | 4.00 (–) | – | – | 4.50 (0.84) | – |
| Self-efficacy | – | – | 4.00 (–) | 3.50 (1.00) | 4.50 (0.58) | – | 4.00 (1.73) |
| Process | 3.85 (0.24) | 3.70 (0.55) | 4.00 (–) | 3.47 (0.53) | 4.06 (0.77) | 3.52 (0.62) | 3.92 (1.23) |
| Planning | – | 4.80 (0.45) | 5.00 (–) | – | – | 4.67 (0.52) | – |
| Engaging | – | – | 5.00 (–) | – | 4.50 (0.58) | – | – |
| Formally appointed implementation leaders | – | – | 5.00 (–) | 4.25 (0.96) | – | – | 4.33 (1.15) |
| Reflecting and evaluating | 4.80 (0.45) | – | 5.00 (–) | – | – | 4.67 (0.52) | 4.33 (1.15) |
CFIR = consolidated framework for implementation research; SD = standard deviations. A summary of the highest rated constructs within the five CFIR domains (intervention characteristics, outer setting, inner setting, staff characteristics, and process), broken down by country. An average score is reported for the domain and highest rated construct with a SD presented in brackets.
Note: Due to logistical constraints, no CFIR data were collected for Chile.
CFIR data from Bangladesh is based on the responses of two interviewees.
Summary of contextual factors influencing the implementation of the typhoid control interventions
| Factor | Description |
|---|---|
| Economic development | The role of economic development was noted in Chile, Bangladesh, South Africa, Vietnam, and Thailand in facilitating the implementation of typhoid interventions by improving living conditions, strengthening the water and sanitation infrastructure, and increasing literacy levels. By example, interviewees in Thailand believe that economic development was stimulated by monies flowing into the country from Thai people working in the Middle East (1990s to 2000) and by economic specialization that started in the 1990s (i.e., each region was asked to identify a service or product to become symbolic for that region and to work toward excelling at it) |
| The use of multiple implementation strategies | Interviewees from most of the study countries discussed the importance of using multiple strategies to target behavior change, such as the use of television advertisements, radio messages, pamphlets, market and church announcements, and school campaigns to promote handwashing or food safety. Multiple implementation strategies were thought to contribute to the success of public education/behavior change efforts by both validating the message and increasing the population reach |
| Tension for change created by the onset of other epidemics or outbreaks | Interviewees highlighted fear of Ebola (Nigeria, 2014) and cholera (Chile, 1991) as strong motivational factors for behavior change with respect to water and sanitation, food, and agricultural practices. These epidemics/outbreaks created a tension for change (Consolidated Framework for Implementation Research outer setting factor) and contributed to reductions in typhoid incidence. Interviewees emphasized that these diseases were crucial to generating motivation for change. For instance, cholera was perceived as a “diabolic” or “killer” disease, whose disastrous effects in Peru motivated people to implement drastic changes in Chile (destroying crops). Paradoxically, typhoid fever was endemic to Chile and people were habituated to it, and when typhoid rates doubled in 1967, no measures were taken to control the spread of the disease. |
| Changes in government administration | In Thailand, the decentralization of power (1997) contributed significantly to implementation efficiency for typhoid control. Specifically, changes in government structure resulted in the delegation of power to local authorities and empowerment of local communities. In practice, this meant that communities could maintain effective control and take action on food safety, regulation of markets, sanitation, and water supply instead of waiting for government action. Similarly, South Africa becoming a democracy in 1994 led to changes such as more equitable distribution of resources, better quality, and access to housing and medical care |
| The pressure of hosting of an international event | In Nigeria, for instance, the pressure of hosting the Fédération Internationale de Football Association (FIFA) World Youth Championship in 1999 was identified by interviewees as a key factor stimulating the implementation of regulations for food safety and food handlers. Implementation efforts were driven by a need to encourage FIFA delegates and visitors and to shake the perception that visiting Nigeria put them at risk of contracting cholera |
| Limited resources and planning | Participants in all countries discussed how limited resources and planning are barriers to the effective implementation and sustainability of typhoid control interventions. This included insufficiency of staff for monitoring whether regulations for food safety, and food handlers were actually implemented on the ground and with what degree of fidelity or compliance, and limitations imposed by the lack of data monitoring implementation efforts. Such common implementation barriers highlight the difficulties of achieving good outcomes with effective interventions that may be poorly implemented |
| Habitual behaviors and cultural practices | Resistance to change and the power of habitual behaviors (e.g., open defecation, drinking water without purifying or boiling it, eating raw food such as ceviche in Chile and raw blood soup in Vietnam, and using wastewater for irrigation) were noted in all countries as barriers to the implementation of typhoid control interventions and were typically addressed through public education |
| Migration | Interviewees from all study countries discussed population migration within country (rural to urban in Bangladesh, India, and Chile; from north to south in Nigeria and Vietnam; and related to disasters and conflicts in Nigeria and Pakistan) and from neighboring countries (Nigeria, Chile, and Thailand), but no linkages were made to changes in the rates of typhoid fever. Interviewees from Nigeria, Pakistan, and Vietnam, however, believed that population migration contributed to the spread of typhoid fever, especially in the refugee camps, although there were no data to support this belief |
The eight contextual factors that were identified to have played a role in the implementation of typhoid fever control interventions. Descriptions are provided for each contextual factor using respondent data across the eight case countries.