Can doctors reduce COVID-19 misinformation and increase vaccine uptake in Ghana? A cluster-randomised controlled trial

Last registered on November 01, 2023

Pre-Trial

Trial Information

General Information

Title
Can doctors reduce COVID-19 misinformation and increase vaccine uptake in Ghana? A cluster-randomised controlled trial
RCT ID
AEARCTR-0010761
Initial registration date
October 26, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 01, 2023, 3:50 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
LSE

Other Primary Investigator(s)

PI Affiliation
LSE
PI Affiliation
IPA Ghana

Additional Trial Information

Status
In development
Start date
2022-08-31
End date
2024-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Whilst Ghana was one of the first countries to start vaccinating its population against COVID19, less than 30% of the population was fully vaccinated at the end of 2022. To improve COVID-19 vaccine uptake, the government has so far relied on two strategies: sensitization in communities and specific national vaccination days. Against the backdrop of strict budget constraints and the return to normalcy in health-seeking behaviours, we aim to test the effectiveness of leveraging interactions of patients with the healthcare system to reduce misinformation and increase vaccination. We collaborate with the Ghana Health Service to offer vaccination as a default option during routine consultations. To dispel information and encourage vaccination uptake effectively, we test two interventions designed to encourage and equip front-line providers with skills to discuss COVID19 vaccination with patients. We evaluate the effect of the two interventions in a cluster-randomised trial where we allocate 120 facilities to one of three groups: a control group where providers are not asked to offer COVID-19 vaccines; a light engagement group, where providers receive information about COVID19 and vaccines in their facility and we deploy a light monitoring device, and a communication skills building group, where providers receive all the elements of the light intervention, plus training in motivational engagement techniques to encourage vaccination. Our primary outcome will be vaccination uptake and intentions. We will also evaluate the impact of the intervention on patients’ knowledge, beliefs and satisfaction. We will track the effectiveness of the training on providers as well as the extent to which they apply their training to actual practice. Results will contribute to a nascent evidence base on potential ways to encourage adult vaccination during routine consultations.
External Link(s)

Registration Citation

Citation
Amadu, Salifu , Marta Grabowska and Mylene Lagarde. 2023. "Can doctors reduce COVID-19 misinformation and increase vaccine uptake in Ghana? A cluster-randomised controlled trial." AEA RCT Registry. November 01. https://doi.org/10.1257/rct.10761-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Doctor communication (Doctor light talk): in facilities randomised to this group, all health workers receiving outpatients over the trial duration will be asked to encourage all patients to get vaccinated. We will engage with facilities directly, with the support of the Ghana Health Service, and collaborate with facility managers (“in-charges”) to encourage health workers in facilities to engage in the scheme. We will deploy light-touch compliance checks in the form of a tracking sheet; however, facilities will not be monitored otherwise.

Doctor motivating communication (Doctor pro talk): In addition to facility engagement as in the “Doctor light talk” group, we seek to support health workers by providing a COVID-19 specific training. Prior the start of the trial, they will attend a short training during which they will learn key facts on COVID-19 vaccination and learn how to engage patients about it by using communication skills based on Motivational Interviewing (MI).

In partnership with the Ghana Health Service, we will test the effectiveness of communication strategies aimed at encouraging the uptake of vaccination. In both light and pro interventions, frontline health workers receiving patients in consultation rooms will be asked to talk to patients about the COVID-19 vaccine at the end of the consultation, in order to encourage them to get vaccinated. We will equip health workers with knowledge about COVID-19 and the vaccine and with communication skills based on MI (in the “Doctor pro talk” group). The knowledge material will cover the following topics: under-reporting and excess mortality in Ghana during COVID-19; risks of COVID-19, especially in vulnerable groups; evidence of the benefits of the COVID-19 vaccine (on severity of symptoms and long COVID-19 incidence); evidence on side effects of COVID-19 vaccine; myth-busting sequence. For communication skills, providers will be trained in motivational interviewing (MI). MI is an approach to patient engagement which promotes a collaborative conversation style for strengthening a person’s own motivation and commitment to change. With MI, the doctor facilitates patient exploration of potential reasons for behaviour change in the context of what is important to the patient, rather than the physician directly telling the patient what to do. MI has been found more effective than other approaches to patient engagement and health behaviour change and can be effectively taught to primary care providers. The training material will be developed by the research team and delivered by IPA staff in collaboration with GHS staff.
Intervention Start Date
2023-11-06
Intervention End Date
2024-01-31

Primary Outcomes

Primary Outcomes (end points)
Vaccination uptake, Vaccination intentions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Fidelity of the intervention, Satisfaction with healthcare provider, Knowledge about the COVID-19 vaccine, Knowledge about COVID-19, Beliefs index, Trust in healthcare system, Providers’ vaccination intentions, Providers’ intrinsic motivation, Providers’ knowledge, Providers’ attitude, Providers’ beliefs, Quality of care provided
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Study Site
The project will be carried out in healthcare facilities located in four regions with some of the lowest vaccination rates in Ghana: Volta, Upper West, Ashanti, and Western regions. Located in the southern part of Ghana, the Volta Region had the lowest percentage of persons fully vaccinated against COVID-19 (18.5%). This region is followed by the Western Region with 30.6% and Ashanti region with 34%. We will also select the Upper West Region from Northern Ghana as the least performing region in that part of Ghana with a 47.4% vaccination rate. The choice of this region is to provide a more diverse range of regions, as Northern Ghana usually suffers from worse socio-economic characteristics. Our focus on selecting regions on Northern and Southern Ghana is to provide a nationwide representation of COVID-19 vaccine behaviours and attitudes in the country, as there are linguistic, structural, and health variations between Northern and Southern Ghana.

Study Population
The target population for the RCT project will be patients attending selected health centres in the selected regions. It will also include frontline health professionals who provide care to these patients.

Inclusion/Exclusion Criteria
The target population for the cRCT project will be mentally sound adults who 1) are aged 18 years and above, 2) have not received COVID-19 vaccination, 3) and are hesitant about getting the COVID-19 vaccine.

Sampling
Within each region, we select 10-12 worse performing districts or municipalities. In each district, we conduct a census of health centres, yielding 235 health centres. We exclude health centres which do not offer COVID-19 vaccines any time and / or do not have them in stock at time of census, yielding a sample of 144 centres. We sample from these proportionally to the number of health centres in each region. Finally, we randomise the facilities to the three experimental groups, stratified on region and district vaccine rates.

Data collection
Patient exit interviews. On each facility visit, we will recruit 3 eligible patients. To be eligible to participate in our study, patients must be (1) adult (2) unvaccinated or partially vaccinated and (3) not “feel or look ill”. Once eligibility is confirmed, we will administer a brief baseline questionnaire including information on reason for visit, health insurance status, and some socio-economic questions. To facilitate identification of patients throughout the care pathway, we will give patient a unique ID (e.g. a sticker) and ask them to come back upon exiting the facility for an exit interview. When they exit the facility, we will conduct an exit interview and ask about (1) the content of the conversation with the health worker seen, (2) their satisfaction and trust (in the HW; the health system and the government), (3) their level of knowledge about COVID-19 and the vaccine; (4) their beliefs about COVID-19 and the vaccine. The research team would request to see the vaccination cards of patients who indicated they received the vaccine.
Vaccination records: we will capture the number of vaccination recorded in intervention facilities records over the trial period. To obtain confirmation of the vaccination status of interviewed individuals, we will establish a system to capture the decision to get vaccinated of individuals “referred” by the intervention, and distinguish them from those coming for vaccination outside of the intervention. This will also allow us to capture delayed decisions to get vaccinated, defined in our context as up to one week after a discussion was held.
Facility survey. On the day of the facility visits, we will measure the availability and stocks of COVID-19 vaccines. We will also measure the volume of patients waiting for vaccination.
Provider surveys. Each participating provider will be interviewed twice. First, they will be interviewed at the end of the training to determine their knowledge and beliefs after the intervention, and before the first interactions with patients. Providers will then be interviewed a second time at the end of the study period to measure their motivation and satisfaction with the intervention, their beliefs about patients’ vaccination intentions, and their clinical knowledge (to benchmark the quality of care measure we will record).
Standardised patients. In addition to patient exit interviews, we will use standardised patients to (1) ascertain the extent to which doctors implement the intervention and (2) obtain objective measures of quality of care to check whether the intervention affects it.

Econometric approach
Our general approach will be to regress the outcomes of interest on dummy variables indicating treatment status. Standard errors will be clustered at the facility level to account for the randomization at that level. In addition to this basic specification, we will estimate an additional model that will include individual and facility characteristics measured at baseline. We will run a regression selecting individual controls following the post-double-selection (PDS) methodology.
Sub-group analysis will allow us to determine whether the intervention is more effective in the following groups:
1. Individuals with pre-consultation high levels of vaccine intentions (defined at higher than 5 on a scale out of 10)
2. Individuals with risk factors for COVID-19
3. Individuals who support the presidential party
4. Individuals partially vaccinated.
To account for multiple inference, we will follow two approaches. First, we will define summary indices for family of attitudes and behaviours, constructed following Kling, Liebman et al. (2007) and test whether these indices are affected by the treatments. Second, for individual outcome variables within each group, we will adjust for multiple inference using a family-wise p-value adjustment following Anderson (2008).

Experimental Design Details
Not available
Randomization Method
Stratified randomisation in Stata 17 software using the command randtreat
Randomization Unit
Health Centre
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
120 Health Centres
Sample size: planned number of observations
15,000 patient observations (3 patients per day, 5-6 days a week, 8 weeks, across 120 facilities) 600 provider observations (5 per facility)
Sample size (or number of clusters) by treatment arms
40 - Control group facilities
40 - Treatment: Doctor light talk
40 - Treatment: Doctor pro talk
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ghana Health Service Ethics Review Committee
IRB Approval Date
2023-04-25
IRB Approval Number
GHS-ERC: 014/03/23
IRB Name
LSE Research Ethics Committee
IRB Approval Date
2023-05-17
IRB Approval Number
214743