To call or not to call: Exploring the validity of telephone interviews to derive maternal self-reports of experiences with facility childbirth care in northern Nigeria

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Study Justification:
– The study aimed to investigate the validity of telephone interviews as a low-cost alternative to derive timely and actionable maternal self-reports of childbirth care experiences.
– The need for frequent data on childbirth care experiences is crucial to institutionalize respectful maternity care.
– Evidence on the validity of telephone interviews for this purpose was limited.
Study Highlights:
– The study collected data on 26 indicators of maternity care experiences, including 8 positive indicators and 18 negative indicators.
– Demographic characteristics of the participants in the exit interviews and telephone interviews were similar.
– Agreement between exit and telephone interviews varied for different indicators, with some positive indicators having higher prevalence and agreement, while negative indicators had lower prevalence and high agreement.
– However, all positive and negative indicators analyzed had an area under the receiver operating characteristic curve (AUC) below 0.6, indicating low validity.
Study Recommendations:
– The study concluded that telephone interviews conducted 14 months after childbirth did not yield consistent results with exit interviews conducted at the time of facility discharge.
– The study suggests that women’s reports of childbirth care experiences may be influenced by the location of reporting or changes in recall over time.
– Further research is needed to explore alternative methods for collecting timely and accurate data on childbirth care experiences.
Key Role Players:
– Researchers and research team
– Health facility staff and managers
– Policy makers and government officials
– Maternal and newborn health advocates
– Community leaders and representatives
Cost Items for Planning Recommendations:
– Research and data collection expenses
– Training and capacity building for interviewers
– Communication and outreach costs for participant recruitment
– Data analysis and interpretation
– Dissemination of findings
– Potential costs for implementing alternative data collection methods

The strength of evidence for this abstract is 6 out of 10.
The evidence in the abstract is moderately strong, but there are areas for improvement. The study compared responses from exit interviews with women about their childbirth care experience to follow-up telephone interviews with the same women 14 months after childbirth. The demographic characteristics of the participants were similar between the two groups. However, the agreement between the exit and telephone interviews for positive maternity care experience indicators ranged from 50% to 92%, and all indicators had an AUC below 0.6. For negative maternity care experience indicators, the agreement was high at over 80%, but all indicators had an AUC below 0.6. This suggests that the telephone interviews did not yield consistent results compared to the exit interviews. To improve the strength of the evidence, future studies could consider conducting the telephone interviews closer to the time of facility discharge to minimize recall bias. Additionally, efforts should be made to improve the validity of the indicators used in the interviews, as indicated by the low AUC values. This could involve refining the questions or exploring alternative measurement methods.

Background To institutionalise respectful maternity care, frequent data on the experience of childbirth care is needed by health facility staff and managers. Telephone interviews have been proposed as a low-cost alternative to derive timely and actionable maternal self-reports of experience of care. However, evidence on the validity of telephone interviews for this purpose is limited. Methods Eight indicators of positive maternity care experience and 18 indicators of negative maternity care experience were investigated. We compared the responses from exit interviews with women about their childbirth care experience (reference standard) to follow-up telephone interviews with the same women 14 months after childbirth. We calculated individual-level validity metrics including, agreement, sensitivity, specificity, area under the receiver operating characteristic curve (AUC). We compared the characteristics of women included in the telephone follow-up interviews to those from the exit interviews. Results Demographic characteristics were similar between the original exit interview group (n=388) and those subsequently reached for telephone interview (n=294). Seven of the eight positive maternity care experience indicators had reported prevalence higher than 50% at both exit and telephone interviews. For these indicators, agreement between the exit and the telephone interviews ranged between 50% and 92%; seven positive indicators met the criteria for validation analysis, but all had an AUC below 0.6. Reported prevalence for 15 of the 18 negative maternity care experience indicators was lower than 5% at exit and telephone interviews. For these 15 indicators, agreement between exit and telephone interview was high at over 80%. Just three negative indicators met the criteria for validation analysis, and all had an AUC below 0.6. Conclusions The telephone interviews conducted 14 months after childbirth did not yield results that were consistent with exit interviews conducted at the time of facility discharge. Women’s reports of experience of childbirth care may be influenced by the location of reporting or changes in the recall of experiences of care over time.

Gombe State, the study setting, is one of the 36 states of the Federal Republic of Nigeria, located in the country’s North-East region. Gombe State has an estimated population of 2.6 million, based on population projections from the 2006 national census. About 75% of the state is rural, with a high fertility rate of 7.0 live births per 1000 females aged 15–49. Service utilisation for maternal and newborn health services is low: for example, only 44% of pregnant women sought 4 or more antenatal care visits in 2019, only 28% had a facility-based childbirth and only 21% of the deliveries were conducted by a skilled birth assistant.21–23 We collected data on 26 experience of maternity care indicators focusing on 8 positive maternity care experiences and 18 negative maternity care experiences. The negative maternity care experience indicators were drawn from the typology of mistreatment, which included domains of physical abuse, verbal abuse, sexual abuse, stigma and discrimination, failure to meet professional standards of care, poor rapport and communication between women and providers, and health systems conditions and constraints.12 We referred to the literature on improving quality of maternal and newborn care in health facilities and the earlier literature assessing experience of childbirth care to identify the eight positive maternity care experience indicators (ie, practices that recognise women’s preferences and needs).7 13 24–26 The research team agreed on the final list of indicators described in online supplemental table S1 through discussion and consensus. bmjgh-2021-008017supp001.pdf The study was nested within a programme of work aimed at understanding the quality of maternal and newborn care in Gombe State, Nigeria.27 We collected exit interview data from mothers in 10 primary healthcare (PHC) facilities, in Gombe State, in August–September 2019. Mothers were eligible and invited for the exit interviews if they were discharged (usually within 24 hours of childbirth) with a live baby following facility-based childbirth and provided informed consent to participate in the study. The exit interviews were conducted in Hausa. The exit interview instrument covered demographic information of study participants, the content of care provided to the mother and the newborn, and experiences of facility-based childbirth care. Women were also asked about their access to mobile phones and, for those with access, permission to make a follow-up call in the future was solicited. In October–November 2020, we conducted telephone interviews with the same mothers surveyed during exit survey. Only mothers that participated in the exit interviews, provided telephone numbers and consent were included in the follow-up telephone interviews. In both exit interviews and telephone interviews, mothers were asked the same questions about their experience of facility-based childbirth care (online supplemental table S1), with responses to questions dichotomised as ‘experienced an event’ (yes) and ‘not experienced an event’ (no).28 All interviewers for both exit and telephone interviews were from Gombe State and were trained in-house for 5 days to familiarise themselves with the questionnaires and data collection procedures, followed by a full pilot and refinement of the study tool. To ensure confidentiality, all the exit interviews were conducted in an area reserved for the interviews or in a separate room within the health facilities. For the telephone interviews, women were encouraged to find a quiet place at home conducive for the telephone interview. The exit interview data were collected in 10 facilities, with 2 trained data collectors and a supervisor working in shifts covering day and night deliveries, 7 days a week for approximately 4 weeks. The telephone interviews were completed in 2 weeks by three data collectors conducting approximately 10 telephone interviews per day. In both the exit and telephone interviews, women were assured that any information collected about them would be kept private and that all data including name, phone number their contact details and interview answers would be fully anonymised. A minimum sample size of 294 women interviewed at exit and at follow-up telephone interviews was estimated to be adequate to estimate sensitivity, specificity and AUC as an overall index of accuracy. This estimate was based on 50% prevalence of indicators from exit interviews (reference standard) and a set sensitivity of 75%±7% precision, specificity of 75%±7% precision, type 1 error of 0.05, assuming a normal approximation to a binomial distribution.29 Exit survey and the telephone interviews were matched by unique participant id. All analyses were conducted using STATA V.16 (www.stata.com). For the validation analysis, exit survey measures of positive and negative maternity care experiences were used as the reference standard and compared with telephone interview responses with the same mothers. We tabulated the mother’s characteristics at exit survey (all women interviewed without a mobile phone) and follow-up telephone interview to compare demographics and childbirth environment characteristics. We determined the prevalence of positive and negative maternity care experiences for each indicator by the measurement method. Exit interview and telephone interview responses were cross tabulated to construct two-by-two tables, excluding any do not know responses. We calculated per cent agreement between the exit and the telephone interviews. We calculated the sensitivity (true positive rate) and specificity (true negative rate) for each indicator. We quantified the area under the receiver operating characteristic curve (AUC) and estimated 95% CI assuming a binomial distribution. Because this study population included a large number of women with no formal education, we explored the association of educational status (not educated/ educated) of mothers with their reporting consistency for positive maternity care experience measures using the rocreg command in STATA.30 Consistent with the recommendation by Munos et al,31 indicators with very low or very high prevalence, that resulted in fewer than five counts per cell in the two-by-two tables, were included in tabulations for transparency but cannot be interpreted with confidence. An AUC value of 0.5 reflects a random guess while 1.0 reflects perfect accuracy.31 We presented findings below in line with Strengthening the Reporting of Observational Studies in Epidemiology statement.32 A preliminary consultation with a different set of women was conducted prior to the main telephone interviews to pretest the telephone interview protocol for appropriateness and understanding. We asked the respondents for feedback about the telephone interview procedures including perceived difficulty, compatibility and clarity of instructions. We used respondent’s inputs to refine the telephone interview protocol.

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The study titled “To call or not to call: Exploring the validity of telephone interviews to derive maternal self-reports of experiences with facility childbirth care in northern Nigeria” investigates the use of telephone interviews as a low-cost alternative to gather timely and actionable maternal self-reports of childbirth care experiences. The study compares the responses from exit interviews conducted at the time of facility discharge with follow-up telephone interviews conducted 14 months after childbirth. The goal is to assess the validity of telephone interviews for collecting data on positive and negative maternity care experiences.

The study was conducted in Gombe State, Nigeria, which has a population of approximately 2.6 million. The state has a high fertility rate and low utilization of maternal and newborn health services. Data was collected from 10 primary healthcare facilities through exit interviews with mothers who had recently given birth. Telephone interviews were conducted with the same mothers 14 months later.

The study focused on 26 indicators of maternity care experiences, including 8 positive indicators and 18 negative indicators. Positive indicators included practices that recognize women’s preferences and needs, while negative indicators encompassed mistreatment domains such as physical abuse, verbal abuse, sexual abuse, stigma and discrimination, failure to meet professional standards of care, poor rapport and communication between women and providers, and health systems conditions and constraints.

The findings of the study revealed that there were differences between the responses obtained from exit interviews and telephone interviews. Agreement between the two methods varied for different indicators, with some positive indicators showing higher agreement than negative indicators. However, the area under the receiver operating characteristic curve (AUC) for all indicators was below 0.6, indicating low accuracy.

The study concludes that telephone interviews conducted 14 months after childbirth may not yield consistent results compared to exit interviews conducted at the time of facility discharge. It suggests that women’s reports of childbirth care experiences may be influenced by the location of reporting or changes in recall over time.

Overall, the study highlights the limitations of using telephone interviews as a means to gather maternal self-reports of childbirth care experiences. Further research is needed to explore alternative methods or strategies to improve access to accurate and timely data on maternal health experiences.
AI Innovations Description
The recommendation based on the study is to exercise caution when using telephone interviews as a low-cost alternative to derive maternal self-reports of experiences with facility childbirth care. The study found that telephone interviews conducted 14 months after childbirth did not yield consistent results with exit interviews conducted at the time of facility discharge. Women’s reports of their childbirth care experiences may be influenced by the location of reporting or changes in recall over time. Therefore, it is important to consider these limitations and potential biases when using telephone interviews to gather data on maternal health experiences.
AI Innovations Methodology
Based on the provided description, the study aims to explore the validity of telephone interviews as a low-cost alternative to derive timely and actionable maternal self-reports of experiences with facility childbirth care in northern Nigeria. The study compares the responses from exit interviews with women about their childbirth care experience (reference standard) to follow-up telephone interviews with the same women 14 months after childbirth. The methodology includes collecting data on positive and negative maternity care experiences, comparing demographic characteristics between the exit interview group and the telephone interview group, calculating validity metrics such as agreement, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC), and analyzing the association of educational status with reporting consistency. The study concludes that the telephone interviews conducted 14 months after childbirth did not yield consistent results with the exit interviews conducted at the time of facility discharge, suggesting that women’s reports of childbirth care experiences may be influenced by the location of reporting or changes in recall over time.

To simulate the impact of recommendations on improving access to maternal health, a potential methodology could include the following steps:

1. Identify the recommendations: Based on the study findings and existing literature, identify specific recommendations that have the potential to improve access to maternal health. These recommendations could include interventions to address barriers to healthcare access, improve healthcare infrastructure, enhance community engagement, or strengthen healthcare provider training.

2. Define the simulation parameters: Determine the key parameters that will be used to simulate the impact of the recommendations. This could include factors such as population size, healthcare utilization rates, availability of healthcare facilities, and resource allocation.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and the defined parameters. The model should simulate the current state of access to maternal health and then simulate the impact of implementing the recommendations.

4. Run the simulation: Run the simulation using the defined parameters and recommendations. The simulation should generate data on the potential impact of the recommendations on improving access to maternal health. This could include metrics such as increased utilization rates, reduced travel distances to healthcare facilities, improved quality of care, and decreased maternal mortality rates.

5. Analyze the simulation results: Analyze the simulation results to assess the potential impact of the recommendations. This could involve comparing the simulated outcomes to the baseline data, identifying areas of improvement, and evaluating the cost-effectiveness of implementing the recommendations.

6. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and simulation model as needed. Iterate the simulation process to further explore different scenarios and assess the robustness of the findings.

By following this methodology, policymakers and stakeholders can gain insights into the potential impact of specific recommendations on improving access to maternal health. This can inform decision-making and resource allocation to prioritize interventions that have the greatest potential for positive impact.

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