OBJECTIVE

Interventions to address poverty and food insecurity in pediatric hospital care have been scarce. Access to government support is based on the completion of taxes. Medical-financial partnerships are defined as novel cross-sector collaborations in which health care systems and financial service organizations work collaboratively to improve health by reducing financial stress. The objective of our pilot study was to assess the feasibility of implementing a “free tax service” within a pediatric academic hospital setting.

METHODS

A pilot randomized controlled trial “TAX4U” was conducted from November 2020 until April 2021 in the general inpatient setting of an academic pediatric hospital. Eligible families were randomly assigned to receive either “free tax services” according to the Canada Revenue Agency-funded Community Volunteer Income Tax Program (CVITP) or “care as usual.”

RESULTS

A total of 140 caregivers filled in the 8-question recruitment survey. We found that 101 (72%) families were not eligible to participate in the study. Reasons for ineligibility were not meeting CVITP criteria (n = 59, 58%), already filed tax (n = 25, 25%), and families did not sign the consent form (n = 17, 17%). Thirty-nine families were randomly assigned, with 20 (51.3%) families assigned to the intervention and 19 (48.7%) families receiving care as usual. Ultimately, 7 (35%) families received the tax intervention.

CONCLUSIONS

Offering free tax services may be feasible and reached vulnerable families in a pediatric hospital setting; however, the inclusion criteria of the CVITP program did not meet the needs of caregivers. Further research should explore offering a full-scope medical-financial partnership that meets the needs of low-income families in a hospital setting.

Interventions to address poverty and food insecurity in pediatric hospital care have been scarce. In Canada, 1 in 5 children is living in poverty and 1 in 6 children is affected by food insecurity.1  Both poverty and food insecurity are associated with multiple negative health outcomes in children, including chronic physical and mental health problems, developmental delay, and decreased academic performance and school engagement.28  On a population level, the Canada Child Benefit (CCB) has been associated with a decrease in child poverty from 11% in 2016 to 9% in 2017.9  The CCB is a federal tax-free cash transfer for any household with children and an annual income <$200 000. Because food insecurity is strongly correlated to family income, several studies have revealed that various forms of income supplementation, including CCB, can reduce the severity of food insecurity.1012  There are many potential federal and provincial tax supports available for low-income families. To be able to receive CCB or any other tax benefits, families must file their taxes. However, in the first year after introducing CCB (2017), only 88% of potentially eligible families received CCB.13  In addition, the “Who’s Hungry Survey” reported that 25% of food bank recipients had failed to file tax returns in the previous year.14  Many vulnerable families may not file taxes because of issues such as lack of awareness, legal issues (e.g., immigration status), and possible literacy and language barriers.

Pediatricians may be well-positioned to facilitate access to financial resources for families, in part because of the trusted relationship between health professionals and families.15  Medical-financial partnerships (MFP) are an emerging part of health care. MFPs are defined as novel cross-sector collaborations in which health care systems and financial service organizations work collaboratively to improve health by reducing financial stress.15  MFPs have 3 distinct delivery models: (1) full-scope on-site financial coaching, (2) targeted on-site financial services, and (3) referral to off-site community-based financial services.15  An example of an MFP is “StreetCred” in Boston, which implemented free tax services within pediatric ambulatory clinics.16  Marcil et al observed great success within the StreetCred clinics, with 753 clients receiving $1 619 650 in federal tax refunds. StreetCred was associated with a significant improvement in tax filing rates because 21% of surveyed clients were new tax filers, 47% were new users of StreetCred, and 14% reported new receipt of tax benefits.16 

In Canada, there is emerging experience with MFPs.17,18  The Ministry of Health and Long-Term Care financed 2 health promotors to provide financial case management in family health teams in Saint Michael’s Hospital, Toronto, Ontario.17  However, the target audience was adult patients in primary care family health practices. Pediatric academic hospitals see the most vulnerable complex pediatric patients, and often, parents need to pay out of pocket to pay for extra medical supplies and/or support. Providing access to free tax services may address some of the financial stress parents of hospitalized children experience. The authors of this study aimed to add to the emerging literature of MFP in pediatric health care and explored a model of providing targeted on-site free tax filing services in pediatric hospital care. The objective of our pilot study was to assess the feasibility of implementing a free tax service for families with a child admitted to the general pediatric ward of a pediatric academic setting. A pilot trial study design was chosen to evaluate the feasibility of a future definitive randomized controlled trial.18 

A pilot randomized controlled trial (RCT) was conducted from November 2020 until April 2021 in the general inpatient setting of an academic pediatric hospital. Each family that had a child hospitalized in the pediatric inpatient setting was eligible to participate. At admission, a study flyer was provided to caregivers by the unit clerk. This flyer contained information about the study and included information on how to access our Family Resource Navigation service in the hospital. A research assistant called the families by phone and gave them additional information about the study. If the caregiver was interested, the research assistant emailed an 8-question recruitment questionnaire asking for further details about the family’s eligibility to participate. Eligible families were randomly assigned to receive either “free tax services” or “care as usual.” Families were informed that they had a 50/50 chance of being placed in any group. A biostatistician completed the computer-generated random allocation sequence, in blocks of variable sizes. All randomly assigned families were asked to fill out another questionnaire immediately after enrollment and after a 6-month follow-up. A monetary gift card of $10 CAD was offered after the completion of each survey. Survey data were stored in a REDcap database.

The inclusion and exclusion criteria for participation in the study were based on the Community Volunteer Income Tax Program (CVITP) established by the Canadian Revenue Agency.19  Families were included in the study if they had a low to modest income, defined as income for 2 persons: $45 000, 3 persons: $47 500, 4 persons: $50 000, or 5 persons: $52 500 + $2500 for each additional person.19  Families with providers who were either self-employed or received business or rental income, families with providers who owned a foreign property, and bankrupt individuals were not eligible for the CVITP program and were, therefore, excluded from the study. In addition, families that were not able to communicate in English, non-Ontario residents, and those who did not have internet access were also excluded. Non-Ontario residents were excluded because of the difference in tax filing; the internet connection was needed to participate in the consent process and to fill out the survey (and because of the strict coronavirus disease 2019 [COVID-19] measurements in place we could not offer paper versions). Because of the high study costs of translating study documents and accessing interpretation services, we needed to exclude non-English speaking families in this pilot trial.

For the intervention, 2 volunteers were formally trained according to the CVITP program. These volunteers were recruited from the volunteer page of the Canadian Certified Public Accountant Web site. Neither volunteer had any previous experience with the CVITP program. They followed an online half-day training program. This training program was offered by CVITP officers. The tax preparation was done at the families’ convenience in the days after the child was discharged. Free tax software was obtained from the CVITP program. Given that our pilot study was conducted during the COVID-19 pandemic, only virtual free tax services (by telephone or Zoom) were offered. Families were also able to access support from the Resource Navigation Service and/or social work, which is usually available in our hospital.

For care as usual, all families that self-identified as having difficulties making ends meet during their admission were referred to social work and/or could access the Resource Navigation Service. The Family Resource Navigation Service can assist families with identifying tax benefits, but they are not able to file taxes.

The primary outcome of this study was recruitment and feasibility. These were measured with the number of caregivers of patients approached and recruited for the study, and how many caregivers of patients who were in the intervention group reported ultimately receiving free tax services.

The recruitment questionnaire included questions about household composition, number of children, 2-item food insecurity screening, trouble making ends meet (“Do you ever have trouble making ends meet at the end of the month”20 ), household income, self-employment, and the filing of taxes in the previous years.

Questions asked to randomly assigned families only included questions regarding parents’ employment, parents’ ethnicity, immigration status, and own health status (“In general, would you say your health is excellent, very good, good, fair, poor”). Household food insecurity was further explored with the 18-item US Household Food Security Survey Module.21  The Household Food Security Survey Module is included in the Canadian Community Health Survey. Caregivers were identified as household food secure if they did not have any affirmative items; moderate food insecurity if they endorsed 2 to 5 items and severe food insecurity if they affirmed >6 items. In addition, we measured parental distress with the overall distress score of the Distress Thermometer for Parents (DT-P) developed by Haverman et al in 2013.22,23  The DT-P is a well-validated questionnaire (with normative data published for a general population of n = 1421 parents in the Netherlands).23  The DT-P is used in diverse populations of parents with chronically ill children.22  Numerous studies to date have used the DT-P to measure parental distress in parents of children with different pediatric chronic health conditions.24,25  We also included the “Practical Problems” subscale of the DT-P. Parents were asked to indicate on a thermometer how much distress they have perceived in the past week regarding housing, work or study, finances and insurance, housekeeping, transport, child care, and leisure activities; “0” indicates “no distress” and “10” indicates “extreme distress.”

For this pilot study, we aimed to include 60 participants (30 participants in each arm). Whitehead et al suggested that the sample size of a pilot study should be related to the sample size of an RCT.26  For a main trial with 90% power and 2-sided 5% significance with an expected small standardized effect size (0.2) of receiving a new tax benefit a pilot trial sample size of 25 per arm is recommended.26  A 10% loss to follow-up will be expected; therefore our total sample size was 60 children (30 per treatment arm).

Descriptive statistics were used to describe our population and to calculate the number of caregivers of patients who were approached, recruited, randomly assigned, and completed data collection tools. An χ-square test was performed to analyze differences in the distribution of categorical variables between groups.

This study was approved by the Research Ethic Board of the Hospital for Sick Children, Toronto, Canada (#1000063550).

From November 2020 to April 2021, 564 families were reached by phone, 287 (51%) were interested in the study, and 140 (25%) filled in the 8-question recruitment survey. We found that 101 (72%) families were not eligible to participate in the study. Reasons for ineligibility were not meeting CVITP criteria (n = 59, 58%), already filed tax (n = 25, 25%), and families did not sign the consent form (n = 17, 17%). Of the 59 families that were excluded because of CVITP criteria, 25 (42%) did not meet income criteria and 21 (36%) were self-employed.

Thirty-nine families were randomly assigned, and 20 (51.3%) families were assigned to the intervention; 3 families (15%) were lost to follow-up and 10 (50%) stated they already filed their taxes, or their spouse found someone else to file their taxes, when approached for an appointment with a tax volunteer. Two families (10%) failed to attend the first appointment with the tax volunteer but could be reached at a later time point. Nineteen (48.7%) families received care as usual. We were able to file taxes for 7 (35%) families (Fig 1).

FIGURE 1

Flow diagram TAX4U pilot study.

FIGURE 1

Flow diagram TAX4U pilot study.

Close modal

Table 1 reveals the sociodemographic characteristics of the families (n = 140) that completed the recruitment questionnaire. Eligible participants included a higher percentage of single-parent households (36% vs 14%; P = .003) and reported a higher percentage of trouble making ends meet (74% vs 47%; P = .003) and food insecurity (33% vs 12%; P = .003) than the ineligible participants. Almost one-half of all families (n = 63, 45%) reported they did not file their taxes in 2018, and almost one-third (n = 45, 32%) reported they did not file their taxes in 2019.

TABLE 1

Characteristics of Participants Who Filled in the Recruitment Questionnaire

 Eligible Participants, n (%) (n = 39) Ineligible Participants, n (%) (n = 101) Pa 
Household composition    
 Mother, father, child(ren) 24 (62) 85 (84) — 
 Single parent family (mother head) 14 (36) 14 (14) .003 
 Extended family with child(ren) 1 (3) — 
 Same sex couple with child(ren) 2 (2) — 
Number of children    
 1 11(28) 27 (27) — 
 2 15 (38) 39 (39) — 
 3 6 (15) 21 (21) — 
 4+ 6 (15) 14 (14) — 
Trouble making ends meet    
 Yes 29 (74) 47 (47) .003 
 No 10 (26) 54 (53) — 
Food would run out    
 Often true 13 (33) 12 (12) .003 
 Sometimes true 14 (36) 27 (27) — 
 Never true 9 (23) 51 (50) .003 
 Decline or refuse to answer 3 (8) 10 (10) — 
Food did not last    
 Often true 9 (23) 10 (10) .041 
 Sometimes true 16 (41) 18 (18) — 
 Never true 11 (28) 62 (62) <.001 
 Decline or refuse to answer 3 (8) 10 (10) — 
Household income    
 <$10 000 8 (21) 6 (6) — 
 $10 000–$39 999 17 (44) 25 (25) — 
 $40 000–$59 999 12 (31) 11 (11) — 
 $60 000–$99 999 20 (20) — 
 $100 000+ 30 (30) — 
 Decline or refuse to answer 2 (5) 9 (9) — 
CVITP criteria    
 Self-employed 18 (18) — 
 Receiving rental or business income 10 (10) — 
 Own foreign property 1 (3) 7 (7) — 
 Bankrupt 1 (1) — 
Years filed taxes    
 2018 20 (51) 57 (56) — 
 2019 28 (72) 67 (66) — 
 2020 14 (36) 54 (53) — 
 Eligible Participants, n (%) (n = 39) Ineligible Participants, n (%) (n = 101) Pa 
Household composition    
 Mother, father, child(ren) 24 (62) 85 (84) — 
 Single parent family (mother head) 14 (36) 14 (14) .003 
 Extended family with child(ren) 1 (3) — 
 Same sex couple with child(ren) 2 (2) — 
Number of children    
 1 11(28) 27 (27) — 
 2 15 (38) 39 (39) — 
 3 6 (15) 21 (21) — 
 4+ 6 (15) 14 (14) — 
Trouble making ends meet    
 Yes 29 (74) 47 (47) .003 
 No 10 (26) 54 (53) — 
Food would run out    
 Often true 13 (33) 12 (12) .003 
 Sometimes true 14 (36) 27 (27) — 
 Never true 9 (23) 51 (50) .003 
 Decline or refuse to answer 3 (8) 10 (10) — 
Food did not last    
 Often true 9 (23) 10 (10) .041 
 Sometimes true 16 (41) 18 (18) — 
 Never true 11 (28) 62 (62) <.001 
 Decline or refuse to answer 3 (8) 10 (10) — 
Household income    
 <$10 000 8 (21) 6 (6) — 
 $10 000–$39 999 17 (44) 25 (25) — 
 $40 000–$59 999 12 (31) 11 (11) — 
 $60 000–$99 999 20 (20) — 
 $100 000+ 30 (30) — 
 Decline or refuse to answer 2 (5) 9 (9) — 
CVITP criteria    
 Self-employed 18 (18) — 
 Receiving rental or business income 10 (10) — 
 Own foreign property 1 (3) 7 (7) — 
 Bankrupt 1 (1) — 
Years filed taxes    
 2018 20 (51) 57 (56) — 
 2019 28 (72) 67 (66) — 
 2020 14 (36) 54 (53) — 
a

Independent t test was computed to analyze the mean differences between specific participant characteristics between the 2 groups.

—, no comparison was calculated between the two variables.

In the randomized group, more than one-half of the mothers were unemployed (53%), and 42% of their partners were full-time employed (Table 2). Twenty-five (69%) children had an underlying chronic health condition and, in 20 (51%), social work was involved. Of the 13 families that were randomly assigned to receive the free tax intervention and ultimately declined; 9 families came from a 2-parent household, 6 children were identified with a chronic illness, and in 4 families, social work was involved. Of the 7 families that received the free tax intervention, 4 families were single-parent households, 5 children were identified with a chronic illness, and 4 families were involved with social work.

TABLE 2

Sociodemographic Characteristics of Randomized Participants

 Care as Usual, n (%) (n = 19) Intervention, n (%) (n = 17) 
Child’s living arrangements   
 Lives with 2 parents in same household 12 (63) 9 (53) 
 Lives with 1 parent only 6 (32) 7 (41) 
Underlying chronic health condition (y) 13 (68) 12 (60) 
Mother/parent 1 employed   
 Full-time employed 2 (12) 
 Part-time employed 2 (11) 3 (18) 
 On parental leave 5 (26) 2 (12) 
 Unemployed 11 (58) 8 (47) 
Father/parent 2 employed   
 Full-time employed 6 (32) 9 (53) 
 Part-time employed 1 (5) 6 (1) 
 On parental leave 1 (5) 
 Unemployed 5 (26) 1 (6) 
Ethnicity of mother   
 European 2 (11) 2 (12) 
 African 3 (16) 1 (6) 
 Indigenous (Métis) 1 (6) 
 Latin American 1 (5) 
 Middle Eastern 2 (11) 2 (12) 
 Asian 5 (26) 7 (41) 
 Caribbean region (including Indian-Caribbean) 5 (26) 3 (18) 
Ethnicity of father   
 European 1 (5) 1 (6) 
 African 2 (11) 1 (6) 
 Indigenous (Métis) 1 (5) 1 (6) 
 Latin American 2 (11) 2 (12) 
 Middle Eastern 1 (5) 1 (6) 
 South Asian 5 (26) 4 (24) 
 Caribbean Region (including Indian-Caribbean) 6 (32) 4 (24) 
General health parent   
 Good/excellent 15 (89) 13 (76) 
 Fair 4 (21) 3 (18) 
 Poor 1 (6) 
Child’s immigration status   
 Canadian citizen 17 (89) 15 (88) 
 Landed immigrant living in Canada >18 mo 1 (5) 1 (6) 
 Refugee 1 (6) 
Social work involved (y) 12 (63) 8 (40) 
 Care as Usual, n (%) (n = 19) Intervention, n (%) (n = 17) 
Child’s living arrangements   
 Lives with 2 parents in same household 12 (63) 9 (53) 
 Lives with 1 parent only 6 (32) 7 (41) 
Underlying chronic health condition (y) 13 (68) 12 (60) 
Mother/parent 1 employed   
 Full-time employed 2 (12) 
 Part-time employed 2 (11) 3 (18) 
 On parental leave 5 (26) 2 (12) 
 Unemployed 11 (58) 8 (47) 
Father/parent 2 employed   
 Full-time employed 6 (32) 9 (53) 
 Part-time employed 1 (5) 6 (1) 
 On parental leave 1 (5) 
 Unemployed 5 (26) 1 (6) 
Ethnicity of mother   
 European 2 (11) 2 (12) 
 African 3 (16) 1 (6) 
 Indigenous (Métis) 1 (6) 
 Latin American 1 (5) 
 Middle Eastern 2 (11) 2 (12) 
 Asian 5 (26) 7 (41) 
 Caribbean region (including Indian-Caribbean) 5 (26) 3 (18) 
Ethnicity of father   
 European 1 (5) 1 (6) 
 African 2 (11) 1 (6) 
 Indigenous (Métis) 1 (5) 1 (6) 
 Latin American 2 (11) 2 (12) 
 Middle Eastern 1 (5) 1 (6) 
 South Asian 5 (26) 4 (24) 
 Caribbean Region (including Indian-Caribbean) 6 (32) 4 (24) 
General health parent   
 Good/excellent 15 (89) 13 (76) 
 Fair 4 (21) 3 (18) 
 Poor 1 (6) 
Child’s immigration status   
 Canadian citizen 17 (89) 15 (88) 
 Landed immigrant living in Canada >18 mo 1 (5) 1 (6) 
 Refugee 1 (6) 
Social work involved (y) 12 (63) 8 (40) 

In the care as usual group, there was a high level of parental distress (6.4 at enrollment and 5.9 at 6-month follow-up), with 15 (79%) caregivers experiencing financial distress at enrollment and 8 (62%) at the 6-month follow-up. Fifteen (79%) caregivers experienced moderate to severe food insecurity at enrollment. Nine caregivers (47%) did not receive or did not know if they received any tax benefits, and this percentage did not change at the 6-month follow-up. (Table 3).

TABLE 3

Caregiver’s Experience at Enrollment and 6-Mo Follow-Up in TAX4U Trial

 Care as Usual Intervention 
Enrollment, n (%) (n = 19) Follow-Up, n (%) (n = 13) Enrollment, n (%) (n = 17) Follow-Up, n (%) (n = 7) 
Level of parental distress (mean, SD) 6.4 (2.3) 5.9 (2.7) 7.2 (2.2) 5.1 (2.5) 
Did parents perceive distress in the past week regarding     
 Childcare 8 (42) 4 (31) 8 (47) 5 (71) 
 Housing 6 (32) 4 (31) 9 (53) 3 (43) 
 Work/study 12 (63) 8 (62) 9 (53) 5 (71) 
 Finance/insurance 15 (79) 8 (62) 15 (88) 6 (86) 
 Housekeeping 9 (47) 5 (38) 8 (47) 3 (43) 
 Transportation 7 (37) 6 (46) 10 (59) 4 (57) 
 Leisure/activities/relaxing 11 (58) 8 (62) 13 (76) 6 (86) 
Food security     
 Marginal food insecurity 4 (21) 3 (23) 5 (29) 3(43) 
 Moderate food insecurity 8 (42) 8 (62) 4 (24) 2 (29) 
 Severe food insecurity 7 (37) 2 (15) 8 (47) 2 (29) 
Tax benefits     
 Yes 8 (42) 3 (23) 9 (53) 2 (29) 
 No 3 (16) 6 (46) 3 (18) 3 (43) 
 Do not know 6 (32) 3 (23) 5 (29) 2 (29) 
 Decline or refuse to answer 2 (11) 
Satisfaction with tax service     
 Very satisfied — — — 3 (43)a 
 Satisfied — — — 
 Neutral — — — 2 (29) 
 Somewhat satisfied — — — 1 (14) 
 Not satisfied — — — 
 Not applicable: I did not go to the tax service — — — 1 (14) 
 Care as Usual Intervention 
Enrollment, n (%) (n = 19) Follow-Up, n (%) (n = 13) Enrollment, n (%) (n = 17) Follow-Up, n (%) (n = 7) 
Level of parental distress (mean, SD) 6.4 (2.3) 5.9 (2.7) 7.2 (2.2) 5.1 (2.5) 
Did parents perceive distress in the past week regarding     
 Childcare 8 (42) 4 (31) 8 (47) 5 (71) 
 Housing 6 (32) 4 (31) 9 (53) 3 (43) 
 Work/study 12 (63) 8 (62) 9 (53) 5 (71) 
 Finance/insurance 15 (79) 8 (62) 15 (88) 6 (86) 
 Housekeeping 9 (47) 5 (38) 8 (47) 3 (43) 
 Transportation 7 (37) 6 (46) 10 (59) 4 (57) 
 Leisure/activities/relaxing 11 (58) 8 (62) 13 (76) 6 (86) 
Food security     
 Marginal food insecurity 4 (21) 3 (23) 5 (29) 3(43) 
 Moderate food insecurity 8 (42) 8 (62) 4 (24) 2 (29) 
 Severe food insecurity 7 (37) 2 (15) 8 (47) 2 (29) 
Tax benefits     
 Yes 8 (42) 3 (23) 9 (53) 2 (29) 
 No 3 (16) 6 (46) 3 (18) 3 (43) 
 Do not know 6 (32) 3 (23) 5 (29) 2 (29) 
 Decline or refuse to answer 2 (11) 
Satisfaction with tax service     
 Very satisfied — — — 3 (43)a 
 Satisfied — — — 
 Neutral — — — 2 (29) 
 Somewhat satisfied — — — 1 (14) 
 Not satisfied — — — 
 Not applicable: I did not go to the tax service — — — 1 (14) 

SD, standard deviation.

—, not applicable. Satisfaction was only measured at 6-month follow-up in the intervention group.

a

These 3 people all received the tax intervention.

In the intervention group, there was also a high level of parental distress (7.2 at enrollment and 5.1 at 6-month follow-up) with 15 (88%) of caregivers experiencing financial distress at enrollment. Food insecurity levels were similar to those in the care as usual group; 12 caregivers experienced (71%) moderate to severe food insecurity at enrollment. Eight parents (47%) did not or did not know if they received any tax benefits; this percentage did not change at the 6-month follow-up (Table 3).

Only 7 (41%) of caregivers in the intervention group filled in the survey 6 months after tax filing. Three families (43%) that received the intervention were satisfied with the free tax service, with the other 4 families, who ultimately did not receive the intervention, indicating that they had a neutral or somewhat satisfied experience. Two families described being extremely grateful for the free tax services and that they had no idea how much money they could receive from filing taxes: “it’s like winning a lottery” (quote of one participant).

Our study adds to the emerging literature on MFP in pediatric health care. We examined the feasibility of providing “free tax services” in a pediatric academic hospital setting. We used an existing program of community free tax services, the “Community Volunteer Income Tax Program,” which is run by the Canadian Revenue Agency.19  Our pilot TAX4U trial was able to reach vulnerable families with low income that reported a high percentage of food insecurity and having trouble making ends meet. However, the majority of the families (n = 101, 72.1%) did not meet the eligibility criteria of the CVITP program. The CVITP program has strict income criteria, and 42% of families did not meet the income criteria. Although many of those families could not participate in the CVITP program because their income was too high, many families reported food insecurity (39%) and having difficulties ends meet (47%). Self-employment is also an exclusion criterion of the CVIP program. We had to exclude many families (36%) that reported a provider as self-employed; this also included work in the gig economy, including work as an Uber or other mobile service provider driver. A high percentage of financial distress (>79%) was identified in all families that were randomly assigned. We observed a decline in parental distress scores in both the intervention and care as usual group; this is most likely explained by the fact that children were no longer in the hospital at the 6-month follow-up. In both groups, a high number of caregivers experienced distress regarding finances at follow-up (>62%).

Recruitment in our study was challenging. This may have been caused by the virtual nature of our recruitment procedure over the phone and the need to digitally sign a consent form to participate in the intervention. Seventeen families (16.8%) did not sign the electronic consent form even after telephone reminders. Unfortunately, we could not collect any details about why they chose not to sign consent as per our Research Ethics Board guidelines. Even in the families that were randomly assigned in the intervention, the dropout rate was high. Possibly because we reached some families too late in the tax season (which typically runs in Canada from February to March), some families indicated that they already filed their taxes when they were contacted by our tax volunteers. Another option is that only 1 caregiver was asked for consent during their child’s hospital admission (mostly mothers), and when discharged, the other caregiver (mostly fathers) arranged another way to do tax filing. A higher percentage of single mothers (4 of the 7) did ultimately end up using the free tax services. A last reason for the drop-out could be the virtual nature of the tax services. Unfortunately, because of COVID-19 restrictions, we did not have the option to recruit or provide the intervention in person.

Ultimately, only 7 families (35%) were able to receive free tax services. Although only a limited number of families filled in the 6-month follow-up survey, those that did receive the intervention were satisfied with the tax services offered. Therefore, we can conclude that a tax intervention may be acceptable in our population and setting; however, we ultimately recruited a low number of families, and the CVITP program did not meet the needs of caregivers who had a child admitted to the pediatric hospital. A future definitive RCT using the CVITP program may likely not be feasible.

Surprisingly, one-third and almost one-half of caregivers reported not having filed taxes in 2019 and 2018, respectively. In Canada, it is not mandatory for people who do not earn any income to file taxes. However, the only way to receive certain benefits, such as CCB, is to file taxes annually. One-third of caregivers who participated in the pilot trial did not know if they received any tax benefits when they were recruited, and ∼40% said they did not receive any tax benefits at follow-up. This may be explained by the fact that the person who completed the recruitment study survey (most often mothers) might not have been the same person filing taxes in the household. Another explanation could be that caregivers indeed do not file their taxes annually; a high percentage of parents were unemployed or on parental leave in our study population. This may imply that low-income families with a child admitted to the hospital are not receiving all their potential financial benefits.

Our study examined 1 targeted on-site financial service model of MFP; free tax services were offered but no other financial services (for example, education about benefits and screening for eligibility for benefits). In our hospital setting, a broader full-scope on-site financial coaching MFP might be more appropriate to address poverty and financial strain. Previous evidence revealed that caregivers of children with chronic health conditions face increased financial burdens for multiple reasons, including higher out-of-pocket medical expenses and the effects of caregiving on employment.27,28  A full-scope MFP could offer long-term financial coaching and provide financial empowerment targeted at low-income families and families with children with special needs. This full-scope MFP could, for example, assist with benefit navigation, pension application, budgeting, tax filing, and debt management.

Our pilot study is the first study that provided free tax services to caregivers with a child admitted at a large pediatric academic center. In this study and in our previous work, we demonstrated the importance of addressing financial needs in our population; a large proportion of caregivers who were interested in participating in our study had difficulties making ends meet or experienced household food insecurity.29  However, our study limitations should also be acknowledged. This study took place in the second wave of the COVID-19 pandemic in which there was no in-person contact. The surveys were available in English only; therefore, non-English-speaking families were excluded from the study. The appointment with the tax volunteer could also only be offered virtually; this made it more difficult for families to participate in our trial. Our volunteers reported missed appointments and difficulty organizing necessary documents. A qualitative study component could have investigated barriers to participation in our intervention in more detail.

In conclusion, offering free tax services in an academic pediatric center may be feasible and reached a vulnerable population. The authors of a future trial need to consider (1) a combination of virtual and in-person recruitment during hospital admission, (2) using a tax service without income and self-employment restrictions, and (3) exploring caregiver barriers and enablers to accessing tax services in a hospital setting in more detail. To address poverty and food insecurity in pediatric hospital care, further research should explore the outcomes of offering a full-scope MFP with broader inclusion criteria that also provides financial coaching and empowerment to families.

We would like to acknowledge Yvonne Leung and Iryna Linkova for providing assistance with filing taxes for our families.

FUNDING: This research was supported by a Walmart Community Grant through the SickKids Foundation. This agency had no role in the design, collection, analysis, or interpretation of the results of this study or in the preparation, review, or approval of the manuscript.

CONFLICT OF INTEREST DISCLOSURES: Drs Birken and van den Heuvel report grants from SickKids Foundation/Walmart Community grant during the conduct of the study. The remaining authors have indicated they have no potential conflicts of interest relevant to this article to disclose.

Dr van den Heuvel conceptualized and designed the study, acquired and analyzed the data, and drafted the manuscript; Mrs Zaffar recruited participants and acquired and analyzed the data; Ms Shah acquired and analyzed the data; Mr Brownstone conceptualized and designed the study; Dr Birken conceptualized and designed the study; and all authors critically revised the manuscript for important intellectual content, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

1.
Tarasuk
V
,
Mitchell
A
,
Dachner
N
.
Household food insecurity in Canada, 2014
.
Toronto: research to identify policy options to reduce food insecurity (PROOF). Available at: http://proof.utoronto.ca. Accessed July 19, 2022
2.
Alaimo
K
,
Olson
CM
,
Frongillo
EA
Jr
.
Food insufficiency and American school-aged children’s cognitive, academic, and psychosocial development
.
Pediatrics
.
2001
;
108
(
1
):
44
53
3.
Shankar
P
,
Chung
R
,
Frank
DA
.
Association of food insecurity with children’s behavioral, emotional, and academic outcomes: a systematic review
.
J Dev Behav Pediatr
.
2017
;
38
(
2
):
135
150
4.
Jyoti
DF
,
Frongillo
EA
,
Jones
SJ
.
Food insecurity affects school children’s academic performance, weight gain, and social skills
.
J Nutr
.
2005
;
135
(
12
):
2831
2839
5.
Franklin
B
,
Jones
A
,
Love
D
, et al
.
Exploring mediators of food insecurity and obesity: a review of recent literature
.
J Community Health
.
2012
;
37
(
1
):
253
264
6.
Kaur
J
,
Lamb
MM
,
Ogden
CL
.
The association between food insecurity and obesity in children-the national health and nutrition examination survey
.
J Acad Nutr Diet
.
2015
;
115
(
5
):
751
758
7.
Cook
JT
,
Frank
DA
,
Berkowitz
C
, et al
.
Food insecurity is associated with adverse health outcomes among human infants and toddlers
.
J Nutr
.
2004
;
134
(
6
):
1432
1438
8.
Melchior
M
,
Chastang
JF
,
Falissard
B
, et al
.
Food insecurity and children’s mental health: a prospective birth cohort study
.
PLoS One
.
2012
;
7
(
12
):
e52615
9.
Mitchel
P
,
DeBruyn
R
;
Institute for Family Studies
.
The pros and cons of Canada’s child benefit
.
10.
St-Germain
AF
,
Tarasuk
V
.
High vulnerability to household food insecurity in a sample of Canadian renter households in government-subsidized housing
.
Can J Public Health
.
2017
;
108
(
2
):
e129
e134
11.
Kirkpatrick
SI
,
Tarasuk
V
.
Adequacy of food spending is related to housing expenditures among lower-income Canadian households
.
Public Health Nutr
.
2007
;
10
(
12
):
1464
1473
12.
Ratcliffe
C
,
McKernan
SM
,
Zhang
S
.
How much does the supplemental nutrition assistance program reduce food insecurity?
Am J Agric Econ
.
2011
;
93
(
4
):
1082
1098
13.
Pentland
M
,
Cohen
E
,
Guttmann
A
,
de Oliveira
C
.
Maximizing the impact of the Canada Child Benefit: Implications for clinicians and researchers
.
Paediatr Child Health
.
2020
;
26
(
4
):
214
217
14.
Bajwa
U
.
Income-boosting benefits through tax filing
.
15.
Bell
ON
,
Hole
MK
,
Johnson
K
, et al
.
Medical-financial partnerships: cross-sector collaborations between medical and financial services to improve health
.
Acad Pediatr
.
2020
;
20
(
2
):
166
174
16.
Marcil
LE
,
Hole
MK
,
Wenren
LM
, et al
.
Free tax services in pediatric clinics
.
Pediatrics
.
2018
;
141
(
6
):
e20173608
17.
Jones
MK
,
Bloch
G
,
Pinto
AD
.
A novel income security intervention to address poverty in a primary care setting: a retrospective chart review
.
BMJ Open
.
2017
;
7
(
8
):
e014270
18.
Eldridge
SM
,
Chan
CL
,
Campbell
MJ
, et al
;
PAFS Consensus Group
.
CONSORT 2010 statement: extension to randomised pilot and feasibility trials
.
Pilot Feasibility Stud
.
2016
;
2
(
1
):
64
19.
Government of Canada
.
Volunteer to do taxes in your community
.
20.
Brcic
V
,
Eberdt
C
,
Kaczorowski
J
.
Development of a tool to identify poverty in a family practice setting: a pilot study
.
Int J Family Med
.
2011
;
2011
:
812182
21.
Bickel
G
,
Nord
M
,
Price
C
.
Guide to measure household food insecurity
.
Revised 2000. Available at: https://naldc.nal.usda.gov/download/38369/PDF. Accessed June 19, 2022
22.
Haverman
L
,
van Oers
HA
,
Limperg
PF
, et al
.
Development and validation of the distress thermometer for parents of a chronically ill child
.
J Pediatr
.
2013
;
163
(
4
):
1140
6.e2
23.
van Oers
HA
,
Schepers
SA
,
Grootenhuis
MA
,
Haverman
L
.
Dutch normative data and psychometric properties for the distress thermometer for parents
.
Qual Life Res
.
2017
;
26
(
1
):
177
182
24.
Schepers
SA
,
Sint Nicolaas
SM
,
Maurice-Stam
H
, et al
.
Parental distress 6 months after a pediatric cancer diagnosis in relation to family psychosocial risk at diagnosis
.
Cancer
.
2018
;
124
(
2
):
381
390
25.
Diederen
K
,
Haverman
L
,
Grootenhuis
MA
, et al
.
Parental distress and quality of life in pediatric inflammatory bowel disease: implications for the outpatient clinic
.
J Pediatr Gastroenterol Nutr
.
2018
;
66
(
4
):
630
636
26.
Whitehead
AL
,
Julious
SA
,
Cooper
CL
,
Campbell
MJ
.
Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable
.
Stat Methods Med Res
.
2016
;
25
(
3
):
1057
1073
27.
Fuller
AE
,
Brown
NM
,
Grado
L
, et al
.
Material hardships and health care utilization among low-income children with special health care needs
.
Acad Pediatr
.
2019
;
19
(
7
):
733
739
28.
Lindley
LC
,
Mark
BA
.
Children with special health care needs: Impact of health care expenditures on family financial burden
.
J Child Fam Stud
.
2010
;
19
(
1
):
79
89
29.
van den Heuvel
M
,
Fuller
A
,
Zaffar
N
, et al
.
Food insecurity during COVID-19 in a Canadian academic pediatric hospital: a cross-sectional survey
.
C Open
.
2022
;
10
(
1
):
E82
E89