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Home-based multidimensional survivorship programmes for breast cancer survivors

Overview of attention for article published in Cochrane database of systematic reviews, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

33 tweeters
3 Facebook pages
1 Wikipedia page


33 Dimensions

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299 Mendeley
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Home-based multidimensional survivorship programmes for breast cancer survivors
Published in
Cochrane database of systematic reviews, August 2017
DOI 10.1002/14651858.cd011152.pub2
Pubmed ID

Karis Kin Fong Cheng, Yee Ting Ethel Lim, Zhi Min Koh, Wilson Wai San Tam


The prognosis and survival rate of women with breast cancer have significantly improved worldwide. Effective home-based multidimensional programmes for breast cancer survivors have gained an ever greater emphasis in survivorship care to maximise women's quality of life for their successful transition to rehabilitation and normal life. It is important to summarise the best available evidence to evaluate the effects of home-based multidimensional survivorship programmes on quality of life in women within 10 years of the completion of surgery or adjuvant cancer therapy for breast cancer, or both. To assess the effects of home-based, multidimensional survivorship (HBMS) programmes on maintaining or improving the quality of life in breast cancer survivors. In April 2016 we searched the Cochrane Breast Cancer Specialised Register, CENTRAL, PubMed, Embase, CINAHL Plus, PsycINFO, Web of Science, and the World Health Organization's International Clinical Trials Registry Platform (WHO ICTRP) and ClinicalTrials.gov. We also screened reference lists of all identified studies and contacted study authors. Randomised controlled trials (RCTs) and quasi-RCTs assessing the effects of HBMS programmes in maintaining or improving quality of life in women with stages 0 to 3 breast cancer who completed primary cancer treatment (surgery or adjuvant cancer therapy, or both) up to 10 years earlier. We considered studies where the interventions included more than one of the following listed components: educational (such as information provision and self-management advice), physical (such as exercise training and resistance training) and psychological (such as counselling and cognitive therapies), to constitute a multidimensional programme. Interventions had to be allowed to be carried out at home. Two authors independently assessed eligible studies for inclusion, and performed quality assessment and extracted relevant data of the included studies. Quality of life was the primary outcome of the review. We included 22 RCTs and four quasi-RCTs on 2272 participants. We categorised the intervention components into four groups: educational and psychological; educational and physical; physical and psychological; and educational, physical and psychological. Most of the studies used usual care (routine medical follow-up services) as the comparator. A few studies used a lower level or different type of intervention (e.g. stress management or exercise) or attention control as the comparator.We used the Functional Assessment of Cancer Therapy-Breast (FACT B), European Organisation for Research and Treatment of Cancer Quality of Life C30 (EORTC C30), Quality of Life (QoL) Breast Cancer, and SF36 questionnaires to assess quality of life. HBMS programmes may increase breast cancer-specific quality of life and global quality of life immediately after the intervention, as measured by FACT-B and EORTC C30 (FACT-B: mean difference (MD) 4.55, 95% confidence interval (CI) 2.33 to 6.78, 7 studies, 764 participants; EORTC: MD 4.38, 95% CI 0.11 to 8.64, 6 studies; 299 participants; moderate-quality evidence). There was no evidence of a difference in quality of life as measured by QoL-Breast Cancer or SF-36 (QoL-Breast Cancer: MD 0.42, 95% CI -0.02 to 0.85, 2 studies, 111 participants, very low-quality evidence; physical composite score SF36: MD 0.55, 95% CI -3.52 to 4.63, 2 studies, 308 participants, low-quality evidence).We observed a similar pattern at one to three months after the intervention: FACT-B (MD 6.10, 95% CI 2.48 to 9.72, 2 studies, 426 participants), EORTC-C30 (MD 6.32, 95% CI 0.61 to 12.04, 2 studies; 172 participants) and QoL-Breast Cancer (MD 0.45, 95% CI -0.19 to 1.09, 1 study, 61 participants). At four to six months and 12 months, there was no evidence of a difference in quality of life between groups (four to six months: EORTC - MD 0.08, 95% CI -7.28 to 7.44, 2 studies; 117 participants; SF-36 - MD -1.05, 95% CI -5.60 to 3.51, 2 studies, 308 participants; 12 months: EORTC - MD 2.04, 95% CI -9.91 to 13.99, 1 study; 57 participants).Functional status was incorporated into the quality of life subscale findings. HBMS programmes may decrease anxiety (MD of Hospital Anxiety and Depression Scale (HADS) -1.01, 95% CI -1.94 to -0.08, 5 studies, 253 participants, low-quality evidence) compared to control immediately after the intervention but the effect did not persist at four to six months. There was no evidence of improvements in depression immediately after HBMS (MD of HADS -1.36, 95% CI -2.94 to 0.22, 4 studies, 213 participants, low-quality evidence) or at follow-up. HBMS programmes may also decrease fatigue (MD -1.11, 95% CI -1.78 to -0.45, 3 studies, 127 participants; low-quality evidence) and insomnia (MD -1.81, 95% CI -3.34 to -0.27, 3 studies, 185 participants, low-quality evidence).None of the included studies reported service needs and utilisation and cost of care, and therefore the effect of HBMS programmes on healthcare utilisation and cost is unknown. Due to the variations in assessment methods of adherence among the eight studies, we could not combine the results for meta-analysis. We synthesised the results narratively, with the reported adherence rates of 58% to 100%. The results of this systematic review and meta-analysis revealed that HBMS programmes in breast cancer survivors appear to have a short-term beneficial effect of improving breast cancer-specific quality of life and global quality of life as measured by FACT-B and EORTC-C30, respectively. In addition, HBMS programmes are associated with a reduction in anxiety, fatigue and insomnia immediately after the intervention. We assessed the quality of evidence across studies as moderate for some outcomes, meaning that we are fairly confident about the results, while we assessed other outcomes as being low-quality, meaning that we are uncertain about the result.

Twitter Demographics

The data shown below were collected from the profiles of 33 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 299 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 67 22%
Student > Bachelor 40 13%
Student > Ph. D. Student 37 12%
Researcher 27 9%
Student > Postgraduate 16 5%
Other 53 18%
Unknown 59 20%
Readers by discipline Count As %
Medicine and Dentistry 78 26%
Nursing and Health Professions 49 16%
Psychology 28 9%
Sports and Recreations 14 5%
Social Sciences 13 4%
Other 37 12%
Unknown 80 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2019.
All research outputs
of 15,555,703 outputs
Outputs from Cochrane database of systematic reviews
of 11,215 outputs
Outputs of similar age
of 272,884 outputs
Outputs of similar age from Cochrane database of systematic reviews
of 259 outputs
Altmetric has tracked 15,555,703 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.