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Volume 70, Issue 1, Pages 10-24 (January 2008)


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One-to-one volunteer support programs for people with cancer: A review of the literature

Michelle L. Macveana, Victoria M. WhiteaCorresponding Author Informationemail address, Rob Sanson-Fisherb

Received 11 October 2006; received in revised form 6 August 2007; accepted 12 August 2007.

Abstract 

Objective

To conduct a systematic review of literature reporting on the use of volunteers in support programs for people with cancer.

Methods

PsycINFO, Medline and CINAHL were used to identify papers published up to April 2007 reporting one-to-one support programs using volunteers. Program data were extracted from the papers, which were rated on research quality and descriptions of the program, volunteers and support recipients.

Results

Twenty-eight papers were reviewed. Nineteen (69%) reported peer-support programs, with four (14%) pertaining to the Reach to Recovery program for women with breast cancer, and eight (28%) describing other peer-support programs for women with breast cancer. Few papers described the programs sufficiently to enable a good understanding of support recipients, volunteers, and what transpired between volunteers and support recipients. Twenty papers (71%) were research studies: 10 (36%) with one group descriptive data, 6 (21%) were non-randomized comparative studies and 4 (14%) were randomized controlled trials.

Conclusion

While most papers reported that programs were beneficial, few presented data from studies using rigorous research methodologies to support these claims.

Practice implications

Using volunteers in cancer care may have merits; however, papers need to provide more information regarding these programs and further evidence is required to determine their effectiveness.

Article Outline

Abstract

1. Background

2. Method

2.1. Search protocol

2.2. Paper inclusion criteria

2.3. Paper selection

2.4. Paper classification

2.5. Data extraction and rating of program descriptions and research quality

3. Results

3.1. Search results

3.2. Agreement in double coding and rating

3.2.1. Inter-rater agreement

3.3. Paper classification

3.4. Analysis of volunteer program information

3.4.1. The type of volunteer program

3.4.2. The volunteers

3.4.3. Support recipients

3.5. Analysis of research papers

3.5.1. Papers with one group descriptive data

3.5.1.1. Methodologies for one group descriptive papers

3.5.1.2. Findings for one group descriptive papers

3.5.1.3. Rating of research quality for one group descriptive papers

3.5.2. Non-randomized comparative studies

3.5.2.1. Methodologies for comparative papers

3.5.2.2. Findings for comparative papers

3.5.2.3. Rating of the research quality for comparative papers

3.5.3. Randomized controlled trials

3.5.3.1. Methodologies for RCTs

3.5.3.2. Findings for RCTs

3.5.3.3. Rating of the research quality for RCTs

4. Discussion and conclusions

4.1. Discussion

4.2. Conclusion

4.3. Practice implications

Acknowledgment

References

Copyright

1. Background 

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Volunteerism is a growing global trend. In 2005, 29% of the US population and 34% of the UK population volunteered [1], [2]; while in 2004, 37% of Canadians and 31% of Australians volunteered [3], [4]. People volunteer for varied reasons [5]. Over half of adult volunteers in Australia cited recent experience of a stressful event, such as illness or death in the family as their reason for volunteering [6].

More than 2 million people volunteer for the American Cancer Society [7]. Although volunteers contribute to many activities within cancer societies, they are commonly involved in providing social support for cancer patients. Social support is a multidimensional construct that includes practical (e.g., help with transport, daily living), informational (e.g., increasing knowledge of disease and ways to cope) and emotional (e.g., sharing negative emotions) support [8]. While support programs for cancer patients have many different aims, a common overall goal is to help patients adjust to their diagnosis and treatment by providing at least one of the three dimensions of support. Peer support is a common form of social support and provides patients with the opportunity for experiential empathy. It is suggested that peer support decreases patients’ sense of isolation, increases knowledge about the cancer experience and possible coping strategies, and provides a sense of hope [9], [10].

Reviews of the peer support literature have concluded that it does provide some benefits for patients [11], [12]. However, while the success of these programs depends on the work of the volunteer support provider, the volunteers, their training and their supervision are rarely discussed. In this paper we examine the literature describing volunteer-based programs providing one-to-one support to individuals with cancer. We include both peer and non-peer delivered support and focus on how research describes the volunteer and their work, and examine the evidence that such volunteer-delivered programs are beneficial for cancer patients.

2. Method 

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2.1. Search protocol 

A search of published literature was conducted using CINAHL Cumulative Index to Nursing & Allied Health Literature 1982 to April 2007; Ovid Medline(R) 1966 to April 2007; and PsycINFO 1972 to April 2007. Searches were limited to English, using the terms: cancer OR neoplas$ OR oncolog$ AND volunt$ OR unpaid OR volunt$ program$ OR volunt$ support OR volunt$ service OR volunt$ staff OR volunt$ work$ AND support$ OR assist$ OR aid$ OR help$ OR advice OR counsel$ OR guid$. Alternatively, cancer OR neoplas$ OR oncolog$ AND peer support.

2.2. Paper inclusion criteria 

Papers were included if they described a program where unpaid volunteers provided one-to-one support to people with cancer. Support could include emotional, psychological, peer, practical, referral and informational assistance. Assistance could be given to the person with cancer, or to this individual and their significant other, but not in group or course format. Provision of care could be through direct contact or telephone. Papers were excluded if the term “volunteer” referred to voluntary participation in a research study or to a family member or friend acting as voluntary caregiver.

2.3. Paper selection 

Titles and abstracts of publications were read to identify and exclude papers not meeting the inclusion criteria. Papers appearing to meet the selection criteria were read completely by the research assistant and author A. Authors A and B determined the final selection for review during independent readings. In addition, the reference lists of selected papers were read to identify other potential papers for review and workers in the field were consulted to ensure that relevant papers were identified.

2.4. Paper classification 

Selected papers were classified independently by authors A and B into one of the following predetermined categories: editorial/promotional reports (e.g., papers describing programs and advertising for volunteers); papers with limited content meeting inclusion criteria (e.g., describing services provided by organisations such as support services, but where only a very small part, such as one paragraph, met the selection criteria, or the program was primarily delivered by paid staff); papers with no data or only service usage data; papers with one group descriptive data; non-randomized comparative studies; randomized controlled trials (RCTs).

2.5. Data extraction and rating of program descriptions and research quality 

Many of the selected papers were not research papers and few were RCTs. Many of the programs reported were developed through community or consumer activism rather than for research purposes. Few papers were eligible for a Cochrane Review or any review that focused on design issues and level of evidence. Rather than excluding most papers from the review, we developed a paper-rating scheme to include a broad range of paper types, including non-research-based work. The CONSORT statement checklist [13], the Program Evaluation Standards [14] and data collection checklist for the Cochrane Effective Practice and Organisation of Care Review Group (EPOC) [15] were consulted to develop criteria for rating papers. The criteria were tested with five papers and items not applicable were eliminated. From this process, a checklist was developed (see Table 1) to record whether pertinent information about the program, volunteers and support recipients was included in the paper (recorded as Yes or No), and papers were scored on the number of elements included (maximum score: 30). Checklist items determined whether there was sufficient information about the program, support recipients and volunteers to understand and replicate the program. Papers reporting research were also rated on research quality (maximum score: 13). Items assessed the extent methodologies used and reported provided strong evidence of program effectiveness. Papers were awarded one point for each element included and points were summed to give a score. Papers reporting more rigorous methodologies, such as RCTs, received higher ratings. Additional recording forms were used to extract more detailed data on the program, volunteers and support recipients, and for papers reporting research data, information on study design, methodology, measures and findings.

Table 1.

Checklist for assessing the content and quality of the papers

Aspect of paper
Program descriptionType of support
Location of support
Duration/frequency of support
Program manual used
Program manual described
Clear description of what happens during volunteer contact
Volunteer contact documented
Documentation described
Volunteers are trained
Description of training
Volunteers are supervised
Description of supervision

Volunteer descriptionVolunteer recruitment
Number of volunteers
Who are the volunteers (e.g., cancer, no cancer, carers, etc.)
Age
Sex
Marital status
Education
Employment

Description of people with cancerRecruitment of people with cancer
Number of people with cancer
Type of cancer
Cancer stage
Cancer treatment
Age
Sex
Marital status
Education
Employment

ResearchAims
Randomized design
Design used comparison/control group
Response rates
Clear description of measures (scales, interview schedules)
Clear indication of when data is collected in relation to program start
Clear indication of when data is collected in relation to study entry
Clear pre program measure
Description of scores pre program
Pre intervention differences/similarities of each group
Description of scores post program
Post intervention differences/similarities of each group
Clear number of participants in analysis

In addition, we recorded if papers would be eligible for Cochrane Review using EPOC's inclusion checklist [15].

3. Results 

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3.1. Search results 

Two thousand seven hundred and forty-one unique English-language papers were found. Two thousand three hundred and sixty-seven papers not relevant according to their titles, for example referring to genes or trialing new chemotherapy modalities, were eliminated. Abstracts for the remaining 374 papers were read and papers not meeting the inclusion criteria were eliminated (n=270).

Authors A and B read the remaining 104 papers independently to confirm the inclusion criteria were met. Forty-two papers did not involve a program where volunteers provided one-to-one support to cancer patients. An additional 25 were excluded because it was not possible to ascertain the volunteer's role, for example, volunteers were part of a team but specific tasks were not mentioned. A further three papers involved voluntary research assistants rather than support providers.

An additional five papers were identified from reference lists of papers, and four from consultation with people in the field. Forty-three papers met the inclusion criteria.

3.2. Agreement in double coding and rating 

3.2.1. Inter-rater agreement 

Inter-rater agreement was calculated using the following formula [16]:

Authors A and B independently coded all papers for classification into the aforementioned categories and an agreement level of 100% across all papers was attained. A random sample of 50% of papers from each category was independently rated by Authors A and B using the checklist (see Table 1). A mean agreement of 89% (range=77–97%) was attained for ratings of the program, volunteer and support recipient descriptions, and a mean of 88% (range=77–100%) was achieved for ratings of research quality.

3.3. Paper classification 

Seven papers [17], [18], [19], [20], [21], [22], [23] were editorials meeting the criteria for inclusion but not reviewed as they essentially involved program promotion and recruiting. Six papers [24], [25], [26], [27], [28], [29] described various services provided by organisations, for example, professional services and peer-support groups. As their primary focus was not the one-to-one volunteer program, they were not reviewed. In addition, as the two papers by Rogers et al. [30], [31] and Mantovani et al. [32], [33] repeated the same data, only the more detailed reports [31], [32] were retained.

The remaining 28 papers were classified into four categories: 8 papers with no data or only service usage data [34], [35], [36], [37], [38], [39], [40], [41]; 10 papers with one group descriptive data [42], [43], [44], [45], [46], [47], [48], [49], [50], [51]; 6 papers reporting non-randomized comparative studies [31], [52], [53], [54], [55], [56]; 4 papers reporting randomized controlled trials [32], [57], [58], [59]. These papers were reviewed in detail.

3.4. Analysis of volunteer program information 

Data extracted from all 28 papers appear in Table 2. The mean score for the description of the program, volunteer and support recipients was 15.2 (range=6–28). The three rated aspects are described below.

Table 2.

Details of the papers reviewed

Paper reviewed
Program start year, location & organisers
Program type
Volunteers
People with cancer
Program manual?
Volunteer training? Supervision?
Support location & duration
Documented contact?
Description of program, volunteer and people with cancer (out of 30)
Paper with no data or only service usage data
Gilbar and Groisman [34]Year not indicated, Israel, hospitalPeer supportPeople who have had colorectal cancer with colostomyPeople with colorectal cancer with colostomyNot indicatedYes Supervision not indicatedHome and hospital, one contactYes14
Goh and Shaw [35]1987, Singapore, hospiceHome-based practical and emotional supportPeople who have not had cancer, carers, unpaid professionalsPeople who are dying, cancer type not indicatedNot indicatedYes Supervision not indicatedHome, duration not indicatedNot indicated10
Mullen [36]Year not indicated, USA, hospitalPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYes Supervision not indicatedNot indicated, up to one yearNot indicated6
Murphy and Byrnes [37]1981, county not indicated, hospitalPeer supportPeople who have undergone chemotherapyPeople starting chemotherapyNot indicatedYes Supervision not indicatedHome and hospital, one visitNot indicated10

O'Sullivan [38]1975, Ireland, not-for profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYesHome and hospital, duration not indicatedNot indicated14
Yes

Rainey [39]1978, USA, universityCancer HelplineNot indicatedPeople with any type of cancerNot indicatedYesTelephone, duration not indicatedYes16
Yes

Reuille [40]USA, 2001, hospitalPeer supportPeople who have had laryngectomyPeople about to have or who have just had a laryngectomy, cancer type not indicatedNot indicatedYes Supervision not indicatedHome, hospital or public place, duration not indicatedNot indicated9

Rinehart [41]Year not indicated, USA, not-for-profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYesTelephone and hospital, one visit and one callYes18
Yes

One group descriptive data
Brown-Hunter and Price [42]Year not indicated, USA, Church groupPractical support to people with no familyAfrican American church members- no experience with cancer necessaryAfrican American church elders with cancer, cancer type not indicatedYesYesHome and public areas, duration not indicatedYes22
Yes

Cameron et al. [43]1972, Canada, not-for-profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedNot indicatedHome, telephone, hospital, public areas, 1/2 to 1hNot indicated11
Dunn et al. [44]Year not indicated, Australia, not-for-profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYes Supervision not indicatedTelephone and hospital, 3 weeksNot indicated14

Fusco-Karmann and Tamburini [45]1984, Italy, not-for-profitHome and hospital-based supportPeople who have not had cancerPeople with cancer, cancer type not indicatedNot indicatedYesHome and hospital, duration not indicatedNot indicated20
Yes

Giese-Davis et al. [46]Year not indicated, USA, University & community groupPeer supportFemale breast cancer survivorsWomen with breast cancerNot IndicatedYesHome, telephone, email or mailYes36
Yes

Kleiman et al. [47]1975, USA, not-for-profitOne-to-one counselling and peer supportCurrent cancer patients and relativesPeople with any form of metastatic cancerNot indicatedYesHospital, duration not indicatedNot indicated9
Yes

May et al. [48]Year and country not indicated, hospitalPeer supportCancer survivors with lower limb amputationPeople with lower limb amputationNot indicatedYes Supervision not indicatedHospital, duration not indicatedYes20
Schover et al. [49]Year not indicated, USA, University & community groupOne-to-one peer counsellingAfrican American female breast cancer survivorsAfrican American women with breast cancerYesYes, Supervision not indicatedHome, community setting or university cancer centre.Not indicated27
Smith et al. [50]Year, country and organization not indicatedPeer supportCancer survivors who received orthopaedic rehabilitationPeople receiving orthopaedic rehabilitation, cancer type not indicatedYesYes Supervision not indicatedTelephone, duration not indicatedYes12
Sutton and Erlen [51]Year not indicated, USA, UniversityPeer supportFemale breast cancer survivorsWomen with breast cancerYesNot indicatedHome, telephoneYes33

Non-randomized comparative study
Ashbury et al. [52]1972, Canada, not-for-profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedNot indicatedNot indicatedNot indicated12
Edgar et al. [53]1981, Canada, not-for-profitEmotional, information and practical supportNot indicatedPeople with breast or colon cancerNot indicatedNot indicatedHospital, duration not indicatedNot indicated8
Geiger et al. [54]1994, USA, community groupPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYes Supervision not indicatedNot indicatedNot indicated13

Rankin et al. [55]Year not indicated, Australia, organization not indicatedPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYesLocation and duration not indicatedNot indicated18
Yes

Rogers et al. [31]1952, USA, not-for-profitPeer supportFemale breast cancer survivorsWomen with breast cancerNot indicatedYes Supervision not indicatedHospital, 10 to 60minNot indicated14
Ventafridda et al. [56]1981, Italy, organization not indicatedDiversional therapy and companionshipNot indicatedPeople with advanced cancer, cancer type not indicatedNot indicatedYes Supervision not indicatedHome, duration not indicatedNot indicated6

Randomized controlled trial
Mantovani et al. [32]1990, Italy, universityHome and hospital-based information, emotional and practical supportNot indicatedPeople with different types of cancersNot indicatedYesHome and hospital, for the duration of chemotherapy (about 4–6 months)Yes17
Yes

McArdle et al. [57]1970s, Scotland, not-for-profitCounsellingNot indicatedWomen with breast cancerNot indicatedYesTelephone and mail, individualised durationYes20
Yes

Rudy et al. [58]Year, country and organization not indicatedPeer supportPeople recovered from melanomaPeople with melanoma undergoing immunotherapyNot indicatedYes Supervision not indicatedTelephone, 4–6 weeksYes17
Weber et al. [59]Year, country and organization not indicatedPeer supportSurvivors of prostate cancer who had radical prostatectomiesMen with prostate cancer who had radical prostatectomiesNot indicatedYes Supervision not indicatedPublic place, 8 times over 8 weeksYes21
3.4.1. The type of volunteer program 

Nineteen papers (68%) described peer-support programs, including four about Reach to Recovery [31], [41], [43], [52]. Support provided in the non-peer programs included practical, emotional, informational, social and counseling. While type of support was evident in all papers, only 10 (36%) clearly described what the volunteer did to assist the person with cancer. Twenty-four papers (86%) mentioned that volunteers were trained, with 21 (75%) describing training. Brown-Hunter and Price [42] evaluated their volunteer training, although little detail was provided about the training process. Gilbar and Groisman [34] provided the most detail about training although little information was provided about post-training support.

Twelve papers (43%) indicated that volunteers were supervised and nine (32%) described the process. Four papers (14%) indicated a program manual was used, and three [42], [49], [51] described it.

Twelve papers (43%) reported that contact between volunteers and support recipients was documented by volunteers, support recipients and/or other parties. Thirteen papers (46%) reported duration of support, which ranged from 10min to 6 months.

Twenty-four papers (86%) provided information regarding where volunteers made contact with support recipients. Some programs used more than one location. In 12 papers (43%) the program was provided in the hospital, 13 (46%) at home, and nine (32%) by telephone.

Only one paper [50] included information on costs associated with the program.

3.4.2. The volunteers 

Twenty-three papers (82%) provided some indication of whether volunteers were cancer survivors, carers or without cancer experience. As 12 papers described peer-support programs for women with breast cancer [31], [36], [38], [41], [43], [44], [46], [49], [51], [52], [54], [55], many volunteers were women with breast cancer. The remaining peer-support programs involved survivors of colorectal cancer [34], bone cancer survivors with lower limb amputation [48], survivors of melanoma [58], cancer survivors receiving orthopedic rehabilitation [50] and survivors of prostate cancer [59]. Two papers involved peer support based on treatment rather than cancer type [37], [40]. One paper did not specify cancer type or treatment, where the peer volunteers were people with a current cancer rather than in remission [47]. One paper used breast cancer peers to provide sexuality-related counseling to women with breast cancer [49].

For the non-peer-support programs, a mix of carers and people without a history of cancer were used. Five papers (18%) did not indicate whether the volunteers had cancer or were carers.

Thirteen papers (46%) described the recruitment of volunteers and 19 (68%) indicated the number of volunteers. Fifteen papers (54%) provided information about the volunteers’ age, six papers (21%) reported sex, education and employment, and four papers (14%) reported marital status.

3.4.3. Support recipients 

Thirteen papers (46%) specified their programs were for people with breast cancer and one was for people with breast or colorectal cancer [53]. One program was for people with colorectal cancer [34], one for people with melanoma [58] and one for men with prostate cancer [59]. Seven papers (25%) did not specify cancer type. Three programs (11%) were for people with advanced cancer but cancer type was unspecified. Cancer treatment was indicated in 17 papers (61%) and cancer stage given in 14 papers (50%).

Twenty-four papers (86%) described the recruitment of support recipients and 23 (82%) indicated how many participated. Demographics about support recipients included: age in 17 papers (61%), sex in 19 papers (68%), education in 12 papers (43%), employment in 5 papers (18%) and marital status in 9 papers (32%).

3.5. Analysis of research papers 

Twenty papers (71%) reported research, and methodologies and findings for the three types of research papers are presented separately.

3.5.1. Papers with one group descriptive data 
3.5.1.1. Methodologies for one group descriptive papers 

Nine of the 10 papers in this category (see Table 3) were descriptive studies. Although one paper employed a randomized, waitlist controlled trial design [49], baseline and post-intervention data for the waitlist group were included with data from the intervention group. Five papers (50%) used quantitative methods, three (30%) qualitative and two (20%) used a combination of both. Six papers were retrospective, involving one data collection point; and four were prospective, involving at least two data collection points. While program purpose varied, the research generally reported program benefits, satisfaction or development. One paper was an exception, reporting volunteers’ knowledge and attitudes [42].

Table 3.

Research papers—papers with one group descriptive data

Paper reviewed
Design
Qualitative/quantitative
Unit of analysis
Measures
Number and timing of data points & timing of intervention
Data reported
Key findings
Research rating (out of 13)
Cochrane criteria
Brown-Hunter and Price [42]Descriptive-assessing impact of volunteer trainingQuantitative68 volunteersTheir own scalePre-test survey before training. Post-test after training. Unclear if support commenced before post-test.Volunteer knowledge of & attitudes towards cancerPre- to post-test improvement in volunteer knowledge of (significant) and attitudes towards cancer3No
Cameron et al. [43]Descriptive-assessing perceived objectives and benefits of programQualitative14 people with cancerInterviews with people with cancer and volunteersRetrospective interviews a few months to several years after programExperiences with program according to volunteers and people with cancerBenefits: provide information, emotion and practical support, understanding, empathy, hope, encouragement and reassurance. Service provides understanding, sensitive listener who is non-judgement. Can talk to someone who ‘has been there’. Would prefer closer to diagnosis4No

Dunn et al. [44]Descriptive-assessing perceived benefits of the programQuantitative223 people with cancerFocus groups held to formulate their own scale and a quality of life scale1 data point at variable time after service participation (but within 4 months of diagnosis)Views of people with cancer on helpfulness and unhelpfulness of the programOverall the program was considered helpful and individual less anxious after visit.7No
Helpful=visited at the time when most needed, volunteer explain about cancer and reassured normality, person felt similar to volunteers/similar experience of cancer.
Unhelpful=differences in belief, person left with uncertainty about future, difficult to contact.

Fusco-Karmann and Tamburini [45]Descriptive-nurses and volunteers rate role of volunteers in hospitals and at homeQuantitative246 people with cancerTheir own scalesOne data point after service usage. Timing not indicatedDemographics, person's opinions of importance of volunteers, volunteer and nurse views on activities of volunteersHome visit volunteers rated higher than hospital volunteers by people with cancer. Volunteers rate their activity levels higher than nurses rate volunteer activity levels.4No
119 volunteers
273 health professionals

Giese-Davis et al. [46]Descriptive, impact of peer support provision on support recipients and providersQuantitative25 support providersCES-D, FACT-B, Post traumatic stress Disorder Checklist-civilian version, CECS, WAI, Brief Cancer Behaviour Inventory, their own scalesBaseline before intervention, 3, 6, and 12 month follow-up.Baseline data for volunteers and patients on all scales. Change in measures over time for volunteers and patientsAt baseline, patients had higher depression and post-traumatic stress and lower emotional well-being than volunteers. Patients’ post-traumatic stress decreased and well-being increased.8No
Contact reports after each contact. No change in volunteers’ well-being. Volunteers became less satisfied with their medical care.
29 women with breast cancer

Kleiman et al. [47]Descriptive-development of visitor programQuantitative and qualitativeVolunteer and person with cancer data (number in analyses unclear)Not indicatedNot indicatedProcess of program development, service usage, volunteer experiences with programMain finding: volunteers used the service to work out their own issues0No

May et al. [48]Descriptive-satisfaction with programQuantitative and qualitative36 people with cancerTheir own scales and interviewsVolunteers complete forms after visit and interviews with people with cancer and family 1–6 months after visitDemographics, content of visits, person with cancer and relative satisfaction with programMajority responded favourably to program and said it improved their outlook3No
2 volunteers
13 relatives

Schover et al. [49]Pre-post test design assessing impact of counselling programQuantitative48 women with breast cancerBrief Symptom Inventory, FACIT-Sp, Female Sexual Functioning Inventory, Menopause Symptom Checklist, Dyadic Adjustment Scale, own scalesBaseline (before intervention), post waitlist (for wait list controls), post-counselling, 3-month follow-up.Demographics, baseline data on scales compared with normative data, change in mean scores on measures across baseline, post counselling and 3-month follow-upsDepression and menopause symptoms decreased between baseline and post counselling, sexual functioning increased between post counselling and 3-month follow-up. Sexual knowledge increased between baseline and post counselling9No
Smith et al. [50]Descriptive-development of and experiences with training program and serviceQualitativePerson with cancer and volunteer data (number in analyses unclear)Attending Behaviour Scale, Empathy Scale, their own surveysVolunteers assessed before and after training. Volunteers and people with cancer complete forms after each contact. People with cancer complete evaluation after each contact. No baseline survey for people with cancerExperiences with program according to volunteers and people with cancerVolunteers found training acceptable, people with cancer reported benefiting from experience4No
Sutton and Erlen [51]Descriptive-changes in interpersonal relationships and quality of life associated with peer supportQualitative31 patient-volunteer support provider dyadsInterpersonal Relationship Inventory, own open ended questions assessing interpersonal relations and quality of life (MOJ) and contact logsBaseline demographics completed at study entry. Patients and volunteers complete MOJ during first and last week of intervention. Volunteers and patients complete contact logs.Demographics, perceptions of interpersonal relationships and quality of life before and after intervention. Perception of support process.Most support provided over the phone. Patients expected to receive information and support and volunteers expected to provide support. Expectations met for volunteers and patients. Most dyadic relationships supportive and themes discussed changed little over time.7No
3.5.1.2. Findings for one group descriptive papers 

The data presented in these papers suggest that support recipients and volunteers value these programs. Brown-Hunter and Price [42] found a significant improvement in volunteers’ knowledge of cancer after training and service provision. Dunn et al. [44] found that support recipients were less anxious after volunteer visits and that volunteers provided shared experiences. Unhelpful experiences were when volunteers and support recipients had differences in beliefs or when volunteers were difficult to contact [44]. Papers found that support recipients received the support program favorably [48], generally felt supported [51], and benefited from the program [43], [46], [50]. In one study, people with cancer rated volunteers that visited homes higher on psychosocial support than those at hospitals [45]. In another study, counseling by a peer volunteer improved knowledge of sexuality issues, menopause symptoms and emotional well-being [49].

One paper did not report good program outcomes with regard to volunteers [47]. This program used people with current cancers as volunteer visitors to dying cancer patients; the authors reported that the volunteers used the service to resolve their own issues. The authors focused on problems encountered with this population as volunteers [47].

One paper reported the effect of peer support on volunteers and recipients [46]. This quantitative study found positive benefits for support recipients and no adverse outcomes for volunteers. Two studies found that people with cancer perceived the contact with peers as more effective than did the peer volunteers [46], [51].

3.5.1.3. Rating of research quality for one group descriptive papers 

The overall research quality rating (see Table 1 for rating checklist) for these papers was poor to fair, ranging from 0 to 8 out of 13 (mean=4.8). In general, these papers provide little evidence for the effectiveness of these programs.

Not surprisingly, because of their assigned category, none of the papers presented comparison group data; although one involved randomization, no control data were presented [49]. Four papers (40%) presented aims and response rates, six (60%) described measures used and seven (70%) provided a clear indication of data collection points in relation to program commencement. Four studies [42], [46], [49], [51] had a pre-program (baseline) measure and three presented some data from baseline measures [46], [49], [51]. In one study [42] data related to volunteer knowledge and attitudes, rather than outcomes for support recipients. Seven papers (70%) presented some post-intervention scores. One paper presented results from slopes analyses to examine change over time [46]. Seven papers (70%) provided a clear indication of the number of participants in analyses.

3.5.2. Non-randomized comparative studies 
3.5.2.1. Methodologies for comparative papers 

All six papers in this category (see Table 4) reported quantitative data and involved comparison between people with cancer, participating in volunteer programs and not participating. Only one paper [56] reported on a non-peer-support program. All papers but one [56] were retrospective, with time since program participation varying across studies. Of the five retrospective papers, three surveyed or interviewed a specific population, ascertained program users, and compared these to non-users in the sample [31], [53], [55]. One study recruited two groups of people with cancer: program participants and a comparison sample of non-program participants recruited through hospital records [52]. Another study compared people recruited from hospitals running the support program and hospitals where the program was unavailable [54].

Table 4.

Research papers—non-randomized comparative studies

Paper reviewed
Design
Qualitative/quantitative
Unit of analysis
Measures
Number and timing of data points & timing of intervention
Data reported
Key findings
Research rating (out of 13)
Cochrane criteria
Ashbury et al. [52]Descriptive-compared people who did and did not participate in serviceQuantitative367 people with cancer (175 in program)FLIC, FACT, Duke Social Support, their own scaleOne data point at unknown time after service participationDemographics, function social support, satisfaction76% of people with cancer satisfied with program, women having surgery & chemo less satisfied than those having surgery and radio. Higher function status and relationship with Dr for people in service8No
Edgar et al. [53]Descriptive-compared people who did and did not participate in serviceQuantitative177 people with cancer (138 in program)POMS, FACT, LOT, Hope and Cope questionnaireMeasures completed at 4 and 12 months post diagnosis. Unclear where program participation fallsDemographics, mood, impact of cancer, optimism, usefulness of serviceService users had significantly higher distress and fatigue and significantly poorer health and well-being. Users physical wellbeing improved significantly from Time 1 to Time 28No
Geiger et al. [54]Descriptive-compared people at program and non-program sitesQuantitative307 people with cancer (82 in program)Their own scaleOnce four months post diagnosis. After service participationDemographic, satisfaction, and views on programThose in program sites had significantly higher satisfaction with and ratings of most hospital services and support8No
Rankin et al. [55]Descriptive-population based survey compared service users and non-usersQuantitative544 people with cancer (196 in program)Their own scaleOne data point between 6 and 12 months post diagnosis. After service participationDemographics, sources of support, experiences with programMajority of non-users said they received support elsewhere. Significantly more likely to use program if had mastectomy. Few demographic differences between users and non-users. 53% of users benefited from sharing experiences with peer9No
Rogers et al. [31]Descriptive-compared program users and people receiving other forms of peer supportQuantitative652 people with cancer (476 in program)InterviewsOnce 6–16 months post surgery. Unclear how far after program participationOpinions of benefits and criticisms of program. Effect of different types of peer support on outcomesMost people not involved in program report not having the opportunity to be involved. 58% of participants said the program was helpful. Of benefit to the greatest number participants (75%) was seeing the recovered survivor. No significant difference in outcomes across groups.7No

Ventafridda et al. [56]Controlled trial – compared outcomes of people receiving and not receiving serviceQuantitative52 people with cancer (35 in program)Integrated Pain Score, Karnofsky, QLI, Spitzer, LASAThree data points- second is 2 weeks after first, and then third is 4 weeks after that. Unclear if there is a true baseline.Pain, performance status, anxiety, side effects, quality of life.Significantly less pain and higher quality of life in intervention group.6No
Family members (number in analyses unclear)

In the non-retrospective study, people with cancer living near the program were allocated non-randomly to the intervention while people in rural areas were controls [56]. This was possibly a controlled before-and-after study [56]. The authors reported data from weeks 0, 2 and 6, suggesting there was a baseline measure. Yet timing of program commencement is not clear and there is no evidence of a data collection point before volunteer support [56]. Edgar et al. included two assessment points but both times were after program participation [53].

Sample sizes for four studies were over 177 people with cancer, with at least 138 in the volunteer program [31], [52], [53], [55]. Although one study involved 307 participants, only 82 were in the intervention group [54]. One paper involved only 52 patients, with 35 in the intervention group [56].

Three papers [52], [53], [56] used published instruments and reported differences in outcomes such as function, mood, support, optimism and quality of life for program and non-program users. The other three papers reported satisfaction, experiences with the program and perceived program benefits and shortcomings.

3.5.2.2. Findings for comparative papers 

Few negative findings were reported in these papers. Ashbury et al. reported that 76% of support recipients were satisfied with the program [52], Rankin et al. indicated that 58% of women reported benefiting from sharing experiences with a peer [55]. While 58% of participants in Rogers et al. found the program helpful, there were no significant differences in outcomes between program participants and people receiving other peer support [30]. In another study, people at program sites reported significantly higher levels of satisfaction with most hospital services compared to people at non-program sites [54]. It is possible, however, that other differences existed between the two sites.

Ashbury et al. found that, compared to non-users, program participants had significantly higher functioning status and better relationships with their doctors [52]. Edgar et al. reported that program users had significantly higher distress and fatigue and significantly poorer well-being than non-users at time 1, but by time 2 well-being improved significantly for the user group, with no significant difference between groups for mood [53]. The retrospective non-randomized design of these studies makes it difficult to determine if the program or other factors influenced these outcomes.

Ventafridda et al. also found differences between program users and non-users at follow-up [56]. Support recipients in their program had significantly less pain and higher quality of life than people not in the program. While promising, because group assignment was based on residency it is possible that differences in urban and rural living influenced findings.

3.5.2.3. Rating of the research quality for comparative papers 

Although higher than the previous category of papers, the average research quality rating for these papers was fair, ranging from 6 to 9 out of 13 (mean=7.7). None were eligible for Cochrane review.

Five papers presented aims and response rates, five described measures and one provided a clear indication of when data were collected in relation to program commencement. No study had a clear pre-program measure, although, as noted previously, it is possible that one study used a baseline [56]. All papers presented post-program scores and comparisons of scores across groups.

3.5.3. Randomized controlled trials 
3.5.3.1. Methodologies for RCTs 

Four of the 20 research papers were RCTs (see Table 5). All reported quantitative data, with one also presenting qualitative data [58]. Two papers involved comparison of several conditions [32], [33], [57], two compared the volunteer program to a control or waitlist group [58], [59]. Only one reported on a non-peer-support program [32].

Table 5.

Research papers—randomized controlled trials

Paper reviewed
Design
Qualitative/quantitative
Unit of analysis
Measures
Number and timing of data points & timing of intervention
Data reported
Key findings
Research rating (out of 13)
Cochrane criteria
Mantovani et al. [32]Prospective, open, randomized, parallel group design-compared people receiving (A) psychopharmacological treatment, (B) A plus volunteer support, and (C) B plus psychotherapyQuantitative72 people with cancer (number in each group unclear)Karnofsky, Scott-Huskisson, BDI, STAI, QLI, FLIC, SCIBefore cancer treatment, 2.5 months later and 2.5 months after that. Unclear when volunteer support is introduced in relation to surveysDemographics, performance status, pain, depression, anxiety, functioning, impact of side effects.Significant improvement in performance status, pain, depression, and state and trait anxiety for people in conditions B and C but not A. No significant differences for quality of life or functional living7Yes
McArdle et al. [57]RCT-compared 4 conditions—(1) routine ward staff, (2) 1 plus breast care nurse, (3) 1 plus volunteer, and (4) 2 plus 3Quantitative202 people with cancer (67 in group 1), (70 in group 2), (67 in group 3), (69 in group 4)GHQ, HADSAfter 1st post-operative clinic visit and at 3-, 6-, and 12-month post surgery. Unclear where intervention fell but possibly before first data pointDemographics, general health, anxiety and depressionOutcomes improved significantly in group receiving breast care nurse support but not group with volunteer or group with usual care9Yes

Rudy et al. [58]RCT-compared people in peer support program with wait listed groupQuantitative and qualitative59 people with cancer (29 in program)Social Support Survey, evaluation surveys completed by people with cancer and volunteersOne data points, within a week of 2nd treatment. After scheduled intervention contactsSocial support, experiences with programThose in intervention have significantly more sources of social support than control group. People with cancer benefited from information and emotional support.10Yes
29 volunteers

Weber et al. [59]RCT-compared people in peer support and usual careQuantitative30 people with cancer (15 in program)Modified Inventory of Socially Supportive Behaviors, Stanford Inventory of Cancer Patient Adjustment, Geriatric Depression Scale, UCLA Prostate Cancer Index, Charlson IndexThree data points- baseline (pre-intervention), then 4 weeks later and 4 weeks after thatDemographic, depression, self-efficacy, social support, urinary and sexual function/bother, PSASignificant difference between groups for depression at 4 weeks. No significant difference in social support and depression at 8 weeks. No significant difference for urinary bother or function or for sexual function. Significant difference between groups at week 8 for sexual bother.13Yes

All studies were prospective and all but one [58] involved three or four data collection points. Only one paper provided a clear indication of a baseline measure [59]. Mantovani et al. [32] and McArdle et al. [57] did not clearly indicate when questionnaires were administered in relation to program implementation. In Mantovani et al.'s study, people in groups A, B and C commenced psychopharmacotherapy 10 days prior to chemotherapy [32]. Questionnaire one was completed immediately before the start of chemotherapy. Volunteer support (group B) was provided for the duration of cancer treatment but commencement time is unspecified. Psychotherapy (group C, which also included a volunteer support component) was provided on a weekly basis for the duration of chemotherapy but commencement time is unspecified. Presumably, volunteer support and psychotherapy commenced after questionnaire one, but this is unclear. It is clear, however, that there was no baseline for psychopharmacotherapy and this was the only condition for group A.

McArdle et al. are also unclear regarding timing of the intervention in relation to baseline questionnaire administration [57]. This study consisted of four conditions: (1) routine care (RC), (2) RC plus volunteer, (3) RC plus breast care nurse, and (4) RC plus volunteer and nurse. Questionnaire one was completed at the first post-operative clinic visit. Volunteer support (conditions 2 and 4) commenced after discharge but it is unclear whether before or after questionnaire one. Breast care nurse support (conditions 3 and 4) commenced peri-operatively, as did routine ward care, suggesting these interventions preceded questionnaire one.

The sample sizes for these papers were relatively small. McArdle et al.'s study involved the largest total sample (N=202) but, divided across four conditions, group sizes were considerably smaller (67–70) [57]. Mantovani et al.'s study involved 72 people with cancer, distributed across three groups [32]. One paper had 29 program participants and 30 waitlist controls [58]. The paper with the highest research quality rating [59] had the smallest sample (15 in the program and 15 controls).

All papers presented data from published, validated instruments, although one paper [58] mainly presented process evaluation data. While this data provided useful feedback regarding the program's benefits, very little constituted RCT data. All other papers presented outcome data, including performance status, pain, mood, functioning, bother, impact of side effects, general health and social support.

3.5.3.2. Findings for RCTs 

Mantovani et al. reported some significant improvements in performance status, pain, depression and anxiety for people in conditions B and C (i.e. psychopharmacotherapy plus volunteer support or volunteer support and psychotherapy) but not in group A (psychopharmacotherapy alone) [32]. Although the combination of interventions means it is not possible to ascertain where the effect lies, both groups showing improvement involved the volunteer program. The lack of improvement for group A is perhaps not surprising as their intervention commenced prior to questionnaire one. McArdle et al. found significant improvements for people supported by the breast care nurse but not for those receiving volunteer support or routine care [57]. However, as the conditions commenced at different times, and there was no apparent baseline for the nurse condition, it is difficult to draw definite conclusions about the impact of these interventions.

Rudy et al. mainly presented post-intervention data and reported that people in the intervention had significantly more sources of social support post-intervention than people in the control group [58]. While this may reflect the social support provided in the intervention, as analyses did not control for baseline social support, this is unclear. Support recipients reported benefiting from the support provided by volunteers [58].

Despite its small sample size, it may be easier to draw more valid conclusions about the intervention described by Weber et al. [59] as it lacks some of the methodological confusion of the RCTs described above. This study found a significant difference between intervention and control groups for depression midway through the program (4 weeks), but not at its end (8 weeks) [59]. No significant differences were found for social support, urinary function, or sexual function at 4 or 8 weeks, but a significant difference was observed between groups on sexual bother at 8 weeks. While needing confirmation in a larger RCT, these findings suggest that the peer-support model used may have some immediate impact on depression and a more gradual impact on sexual bother.

3.5.3.3. Rating of the research quality for RCTs 

Research quality ratings for the RCTs ranged from 7 to 13 (mean=9.8). Only one paper scored 13 [59]. All four papers met the requirements for inclusion in a Cochrane review [15]. The limited RCT data presented in one paper, however, made inclusion questionable [58].

As these papers were RCTs they scored higher than the other research papers from the outset. In addition, all presented aims and described the measures used. Three papers described response rates, and two provided a clear indication of when data were collected in relation to the program [58], [59]. Only one paper provided pre-program data [59], including comparisons across groups. All papers provided data post-program, including comparisons across groups. The number of participants in analyses was clear for all except one paper [32].

4. Discussion and conclusions 

return to Article Outline

4.1. Discussion 

We reviewed publications in which volunteers provided one-to-one support to people with cancer, and examined the extent these programs were evaluated. While volunteering is common within cancer organisations like the American Cancer Society [7], relatively few papers on volunteer-delivered support programs for people with cancer were found. While 43 papers met the review criteria, seven were editorials and six presented little information relevant to the review criteria.

From the 28 papers reviewed, the majority of one-to-one volunteer programs in the literature involved peer support and catered for women with breast cancer. A range of other volunteer support programs exists, yet there are few papers on these programs. Types of support offered in both peer and non-peer-support programs included practical, information, emotional, social and counseling. Most programs trained their volunteers and support was provided at hospitals, in the home or over the telephone.

Several omissions were noted from the papers reviewed. Few papers indicated whether there was a program manual for volunteers. The lack of a manual, especially among the RCTs, makes it less certain that the intervention is delivered as intended. There was no indication of whether the contact between volunteers and patients was documented in over 50% of papers and only 10 papers mentioned that volunteers were supervised. Documentation helps to understand what happens during patient–volunteer contact and supervision allows a mechanism to both support the volunteer and ensure the intervention protocol is adhered to. The impact of providing support on the support provider was examined in only a few papers. While two papers found no negative consequences for the volunteer, there was an indication that volunteers perceived their support as being less effective than did the people receiving this support. This highlights the need to prepare volunteers for this potential discrepancy. The cost associated with volunteer programs was only examined in one paper. While it may be necessary to establish the effectiveness of programs before cost-effectiveness is examined, the absence of such analysis for long-standing programs like Reach to Recovery may suggest that this aspect is being overlooked.

Twenty of the reviewed papers were research-based, providing some indication of the benefits of the programs. Regardless of whether the volunteers were peers or not, it seems that most volunteer-based support programs are well received and have benefits, including improving well-being and/or reducing anxiety. Similar to other reviews [11], [12], we found that the benefits of peer-support programs include being able to speak with someone who shares similar experiences and seeing someone who has survived cancer. However, evidence for the effectiveness of volunteer-based support programs is limited, with only one well-designed RCT examining a peer-support program showing some significant immediate improvement among the intervention group [59]. The small sample size for this study and the lack of long-term effects suggest even these results should be treated cautiously.

Many of the papers, particularly the non-research papers, could be considered more community-based than scientific. Nevertheless, more detail regarding what happens during contact between the volunteers and support recipients could be expected. This information would enable the reader to understand better the purpose of the program and the aim of the patient/volunteer interaction. This information is important if the program is to be replicated. Furthermore, while there are lessons to be learnt from long-standing programs such as the breast-cancer-specific Reach to Recovery program, it is also important to determine whether this type of program translates to other cancer populations, particularly men.

4.2. Conclusion 

It is assumed that volunteers can provide considerable support and assistance to people with cancer and they can be a valuable resource. However, this review suggests that there is little evidence on which to base this assumption. While service usage and satisfaction data have their value, the effectiveness of volunteer-based support programs could be further assessed by more rigorous RCTs reporting outcomes for support recipients. Few papers published to date report prospective data comparing randomized conditions, and the sample size of those that have, tend to be too small to engender confidence in research conclusions. As with program descriptions, the research methodology used in a study needs to be more clearly articulated for the reader to accurately interpret the findings.

4.3. Practice implications 

Undoubtedly much work is put into volunteer programs, with volunteers often utilized as part of interventions for people with cancer. Just as with interventions provided by professionals, the health care community can only truly be informed of the effectiveness of volunteer interventions if programs are published in detail and evaluated appropriately. Well-designed RCTs that include clear baseline measures assessing outcomes relevant to the aims of the intervention, using validated instruments, and including at least two measurement points after the intervention, are needed. In addition, the intervention assessed in these studies needs to be described clearly, with explicit mention of any training, supervision and use of a program manual. This would help the reader to assess the intervention and its integrity during program delivery. The volunteers delivering the program should be seen as an integral part of the intervention. Understanding volunteers’ age, cancer status, education level and previous experience in a similar role would provide pertinent information about the intervention. In addition, studies with sample sizes large enough to ensure sufficient statistical power are needed to determine the effectiveness of the volunteer program. Finally, information regarding the cost of running a volunteer program, including staff time for recruiting, supervising and maintaining a pool of volunteers, needs to be collected to determine the cost-effectiveness of volunteer programs.

Acknowledgement 

return to Article Outline

Thanks go to Ms. Kerrie Shandley for her assistance with searching for and selecting papers for this review.

References 

return to Article Outline

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a The Cancer Council Victoria, Melbourne, Vic., Australia

b The University of Newcastle, NSW, Australia

Corresponding Author InformationCorresponding author at: Centre for Behavioural Research in Cancer, The Cancer Council Victoria, 1 Rathdowne Street, Carlton, Vic. 3053, Australia. Tel.: +61 3 9635 5197; fax: +61 3 9635 5380.

PII: S0738-3991(07)00312-6

doi:10.1016/j.pec.2007.08.005


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