Background
Methods
Results
Study characteristics
Author | Year | Country | Sample characteristics | Analysis | Variables/Measures | Outcome | Quality appraisal |
---|---|---|---|---|---|---|---|
Andersen and Urban [36] | 1998 | USA | Breast cancer survivors n = 485 50–80 years old 3-20+ years post-diagnosis | Multiple logistic regression | Receipt of mammogram, usual source of care,1 recommendation by physician for mammogram and insurance coverage | Receipt of mammogram | Average |
Andrykowski and Burris [45] | 2010 | USA | SEER database Breast cancer survivors n = 42 Colorectal cancer survivors n = 33 Hematological cancer survivors n = 38 1–5 years post-diagnosis Aged 25–75 years old | Multiple regression | Socio-demographics, cancer characteristics, mental health resource questionnaire | Use of formal and informal mental health services | Very good |
Boehmer et al. [34] | 2010 | USA | Colorectal cancer survivors Aged 22–92 years old n = 253 | Cox proportional hazard models | Colonoscopies, sigmoidoscopy, cancer type, stage, co-morbidities, outpatient visits, socio-demographics | Receipt of colorectal surveillance procedures | Very good |
Cooper et al. [29] | 2000 | USA | SEER-MEDICARE database Colorectal cancer survivors Localised disease Surgically treated >65 years old n = 5, 716 | Chi-square test | Socio-demographics, inpatient claims, outpatient claims, use of endoscopic procedures (colonoscopy, polypectomy or biopsy) | Receipt of colorectal surveillance procedures | Very good |
Cooper and Payes [28] | 2006 | USA | SEER-MEDICARE database Colorectal cancer survivors >65 years old n = 62, 882 survived 1 year follow-up n = 35, 784 survived 3 year follow-up | Logistic regression | Medicare claims2 for colonoscopy, sigmoidoscopy or barium enema, co-morbidities | Use of surveillance procedures for colorectal cancer within 3 years of diagnosis | Very good |
Cooper, Kou and Reynolds [31] | 2008 | USA | SEER database Colorectal cancer survivors >65 years old n = 9, 426 | Multivariate regression | Number of physician visits, receipt of carcino-embryonic antigen blood test (CEA),3 colonoscopy, CT and PET scans | Adherence to guidelines for cancer follow-up | Good |
Doubeni et al. [27] | 2006 | USA | Breast cancer survivors n = 797 at baseline (end of treatment) n = 262 after 5 yrs >55 years old 4 geographically diverse Health Maintenance Organisations (HMOs).4
| Generalised estimated equations (GEE) | Receipt of mammograms. age, date and stage at/of diagnosis, treatment. co-morbidities. visits to primary care provider (primary care physician) and outpatient visits | Receipt of yearly mammogram and visits to physicians | Very good |
Earle et al. [23] | 2003 | USA | SEER database Breast cancer survivors > 65 years old, n = 5,965 Controls n = 6,062 | Multivariate regression | Frequency of visits to primary care physician, oncologists, other and teaching hospitals, receipt of flu vaccine, lipid test, cervical exam, colon exam, bone densitometry and diabetes test | Visits to physicians and receipt of preventive medicine | Very good |
Earle and Neville [19] | 2004 | USA | SEER database Colorectal cancer survivors > 65 years old n = 14,884 | Logistic regression | Co-morbidities, socio-demographics, receipt of flu vaccine, lipid testing, bone densitometry and cervical screening | Visits to physicians and receipt of preventive medicine | Very good |
Earle, Neville and Fletcher [43] | 2007 | USA | Breast, lymphoma, colorectal, melanoma and other cancer survivors Mean age 60 years n = 1,111 Controls n = 4,444 | Logistic regression ` | Mental health diagnoses, co-morbidities, socio-demographics, use of primary care physician, oncologist, psychiatrists, psychologists, social workers and inpatient hospitalisations (both general and mental). | Use of mental health provider services | Good |
Ellison et al. [33] | 2003 | USA | SEER database Colorectal cancer survivors >65 years old n = 52, 105 | Kaplan-Meier survival analysis Unconditional regression analysis Cox regression | Socio-demographic, hospital and clinical characteristics, receipt of colonoscopy, sigmoidoscopy, endoscopy and barium enema | Differential receipt of colonoscopy, sigmoidoscopy, endoscopy and barium enema by race | Good |
Gray et al. [41] | 2000 | Canada | Breast cancer survivors n = 731 Histologically confirmed and invasive | Stepwise logistic regression | Use of specialised supportive care services, wish to use services that were not accessed, social and demographic characteristics. | Use of professional supportive care services provided by the Ontario health care system | Very good |
Gray et al. [42] | 2002 | Canada | Breast cancer survivors 63 % <60 years old 23–36 months post-diagnosis n = 731 | Logistic regression | Supportive care from physicians and nurses, socio-demographics, illness and treatment information | Use of professional supportive care | Good |
Grunfeld et al. [16] | 1999 | UK | Breast cancer survivors n = 148 Two district general hospitals | Two-tailed t-test and chi-square | Record of visits, average cost of visits, out-of patient expenses, waiting times, lost earnings and lost earnings of accompanying person | GP follow-up vs. Hospital follow-up. Cost-effectiveness and cost to patient, | Average |
Grunfeld et al. [17] | 2011 | Canada | Breast cancer survivors n = 408 Nine tertiary cancer centres | Two-tailed t-test | Use of survivorship care plans (vs. no survivorship care plans) in primary care physician led follow-up. Frequency of visits to oncologists. | Primary care physician led follow-up | Very good |
Keating et al. [25] | 2006 | USA | SEER-MEDICARE database Breast cancer survivors Stage 1 or 2 Underwent surgery >65 years old | Repeated-measures logistic regression | Mammogram receipt, visits to primary care physician medical oncologist, general surgeon, radiation oncologist and other specialists, socio-demographics | Factors related to mammography use | Very good |
Keating et al. [11] | 2007 | USA | SEER database Breast cancer survivors >65 years old n = 37,967 in year 1 n = 30,406 in year 2 n = 23,016 in year 3 | Repeated-measures logistic regression | Receipt of bone scans, tumour antigen tests (TAT), Chest x-rays and other abdominal/chest imaging, frequency of visits to physicians and socio-demographics | Receipt of a number of surveillance procedures and visits to physicians over time | Very good |
Khan et al. [38] | 2010 | UK | GPRD database Breast cancer survivors N = 18, 612 Colorectal cancer survivors N = 5, 764 Prostate cancer survivors N = 4, 868 >30 years old 5 years post-diagnosis Controls N = 116,418 | Multivariate regression | Socio-demographics, use of primary care, frequency of visits | Primary care consultations | Very good |
Khan, Watson and Rose [20] | 2011 | UK | GPRD database Prostate cancer survivors N = 4,868 Breast cancer survivors N = 18,612 Colorectal cancer survivors N = 5,764 Controls N = 145,662 | Logistic regression | Co-morbidities, screening (PSA, cervical, mammogram), receipt of preventative procedures and socio-demographics | Receipt of screening and preventative care | Very good |
Knopf et al. [37] | 2001 | USA | SEER database Colorectal cancer survivors >65 years old n = 52, 283 | Kaplan-Meier survival analysis | Receipt of colonoscopy, sigmoidoscopy, endoscopy and barium enema, age, tumour stage at diagnosis and year of diagnosis | Receipt of bowel surveillance procedures | Very Good |
Lafata et al. [30] | 2001 | USA | Colorectal cancer survivors n = 251 | Kaplan-Meier survival analysis Cox proportional hazards | Socio-demographics, receipt of colonoscopy, CEA, barium enema, chest x-ray, MRI’s, ultrasounds and liver analysis | Receipt of colon screening procedures and other procedures | Very good |
Mahboubi et al. [15] | 2007 | France | Colorectal cancer survivors <65 years old N = 389 | Logistic regression | Co-morbidities, chest radiograph, abdominal ultrasound, colonoscopy, CT, TAT, blood tests and reason for testing (routine or symptomatic) | Characteristics associated with visits to GPs | Very good |
Mandelblatt et al. [13] | 2006 | USA | Breast cancer survivors n = 418 Stage 1 and 2 | Multivariate linear regression | Calendar diary of health service use, socio-demographics, cancer treatment information, co-morbidities and psychological status survey | Patterns and determinants of health service use | Very good |
Mayer et al. [35] | 2007 | USA | NCI 2003 HINTS5
n = 619 Breast cancer survivors n = 119 Prostate cancer survivors n = 62 Colorectal cancer survivors n = 49 Others n = 389 | Logistic regression | Based on the health belief model (HBM),6 cancer communication, cancer history, general cancer knowledge, cancer risk and screening, health status and demographics. | Screening practices and beliefs | Very good |
McBean, Yu and Virnig [39] | 2008 | USA | SEER database: Uterine cancer survivors >65 years old n = 14,575 Controls n = 58,420 | Multivariate logistic regression Generalised equation modelling | Receipt of flu vaccine, bone densitometry, colorectal screening and mammogram no. of physician services and socio-demographics | Use of preventive services and frequency of physician visits | Very good |
Mols, Helfenrath and van de Poll-Fanse [14] | 2007a
| Netherlands | Endometrial cancer Prostate cancer Non-Hodgkin’s lymphoma survivors n = 1,112 | Linear regression Multivariate linear regression | SF-36, self-reported health service use, frequency of visits, co-morbidities and socio-demographics | Patterns of physician use | Very good |
Mols, Coebergh and van de Poll-Fanse [22] | 2007b
| Netherlands | Endometrial cancer Prostate cancer, Hodgkin’s and non-Hodgkin’s lymphoma survivors n = 1,231 | Chi-square and multivariate logistic regression | Co-morbidity, socio-demographics, use of medical specialist, general practitioner, additional services (physiotherapist. and psychologist) | Frequency of physician use | Very good |
Oleske et al. [47] | 2004 | USA | Breast cancer survivors Aged between 21–65 years n = 123 | Multivariate logistic regression | Use and frequency of physician and admissions, services in past 12 months. reasons for hospitalisations, SRS (social responsiveness scale) and CES-D (depression scale) | Determination of factors associated with hospitalisation | Very good |
Peuckmann et al. [12] | 2009 | Denmark | Breast cancer survivors n = 1,316 Controls n = 4,865 | Risk ratios and multiple logistic regression analysis | Frequency of physical visits, socio-demographics, physical activity and BMI. HR-QOL (SF-36) and chronic pain | Frequency and determinants of health service use | Very good |
Schapira, McAuliffe and Nattinger [32] | 2000 | USA | SEER database Breast cancer survivors >65 years old n = 3,885 | Logistic model | Receipt of mammogram, co-morbidity, socio-economic status (SES) and preventive treatment received | Receipt of Mammogram over two year period | Good |
Schootman et al. [44] | 2008 | USA | SEER database Breast cancer survivors >65 years old n = 47, 643 | Restricted iterative generalised least squares and first-order marginal quasi-likelihood estimation analysis | Frequency of Ambulatory-Care-Sensitive Hospitalizations (ACSH)7 SES, co-morbidity, demographics, availability of medical care, visits to primary care physician and oncologists | Frequency of Ambulatory-Care-Sensitive Hospitalizations | Very good |
Simpson, Carlson and Trew [18] | 2001 | USA | Breast cancer survivors Time point 1 n = 46 Time point 4 n = 30 Controls Time point 1 n = 43 Time point 4 n = 25 | ANOVA | Average cost of care, no. of cancer centre visits and a number of psychological distress indicators including BDI, POMS and Mental adjustment to cancer scale | Billing of Health care as a proxy to use. Visits to cancer centre Correlation of billing to distress. | Good |
Snyder et al. [9] | 2008a
| USA | SEER database Colorectal cancer survivors >65 years old n = 1,541 | Poisson regression and logistic regression | Clinical and socio-demographic characteristics, visits to primary care physician, oncologist or other physicians. Receipt of influenza vaccine, cholesterol screening, mammogram, cervical screening and bone densitometry | Frequency of physician visits and receipt of preventive care | Very good |
Snyder et al. [10] | 2008b
| USA | SEER database Colorectal cancer survivors >65 years old n = 20,068 | Poisson regression and logistic regression analysis | Co-morbidities, socio-demographics, visits to primary care physician, oncologist and other physicians, receipt of influenza vaccine, cholesterol screening, mammogram, and bone densitometry | Visits to physicians and receipt of preventive care | Good |
Snyder et al. [24] | 2009a
| USA | SEER database Breast cancer survivors >65 years old n = 23, 73 Controls n = 23, 731 | Poisson regression and logistic regression analysis | Use of physician and oncology services, receipt of 5 preventive care services and socio-demographics. | Visits to physicians and oncologists and preventive medicine | Good |
Snyder et al. [26] | 2009b
| USA | SEER database Breast cancer survivors >65 years old Stages 1–3 n = 1,961 Controls n = 1,961 | Poisson regression and logistic regression analysis | Co-morbidities, clinical and demographic characteristics, visits to primary care physician, oncologists and other physicians | Frequency of visits to physicians | Good |
Van de Poll-Fanse et al. [21] | 2006 | Netherlands | Breast cancer survivors Invasive n = 183 | Logistic regression | Co-morbidities, spontaneously reported problems, use of GP, medical specialist and physiotherapist, health status and psychological well-being | Use of physician services | Good |
Yu, McBean and Virnig [40] | 2007 | USA | SEER database Colorectal cancer survivors >65 years old n = 112, 737. | Logistic regression and poisson regression | Socio-demographic characteristics, co-morbidities, receipt of mammogram, visits to primary care physician, Gynaecologists only, oncologists and other | Receipt of mammogram and visits to physicians | Good |
Author | Outcome | Predisposing characteristics | Enabling characteristics | Need characteristics |
---|---|---|---|---|
Andersen and Urban [36] | Follow-up cancer surveillance | Previous diagnosis via this method. Physician recommendation. | 70 % received mammography in first year. 72 % received mammography in two years. | |
Andrykowski and Burris [45] | Mental health service use | Rural are less likely to have mental health services within 30 mile radius. | 18 % of non-rural and 8 % of rural CSs utilised psychologist services. | |
Boehmer et al. [34] | Follow-up cancer surveillance | Female CSs less likely than male CSs to receive either colonoscopy or sigmoidoscopy within 1 and 3 years of treatment. Black CSs more likely than white CSs to receive follow-up screening. | A greater number of outpatient visits. | |
Cooper et al. [29] | Follow-up cancer surveillance | Older CSs less likely than younger CSs to receive screening within 5 years of diagnosis. | Geographical variation in receipt. | CSs with a co-morbidity were less likely than CSs without a co-morbidity to receive colonoscopy or sigmoidoscopy in first year of survivorship. Increase in receipt of surveillance procedures over time. Over a 3 year period: 58 % of CSs received on average 2.8 colonoscopies; 19 % received on average 2.0 colonoscopies. |
Cooper and Payes [28] | Follow-up cancer surveillance | Older CSs less likely than younger CSs to receive screening within 3 years of diagnosis. Female CSs were more likely than male CSs to receive screening within 3 years of diagnosis. White CSs were more likely than black CSs to receive screening. | Visits to a primary care physician. | Receipt of colonoscopy increased over time. No difference in receipt of FOBT or colonoscopy between CSs and controls. |
Cooper, Kou and Reynolds [31] | Follow-up cancer surveillance | Older CSs less likely than younger CSs to receive follow-up which adheres to professional guidelines. White CSs more likely than Black CSs to receive follow-up which adheres to professional guidelines. | CSs with a comorbidity were more likely than CSs without a co-morbidity to receive CEA testing. CSs with later stage and undifferentiated tumour were more likely to exceed guidelines. Decrease over time in receipt of barium enema and sigmoidoscopy. | |
Doubeni et al. [27] | Primary care use Follow-up cancer surveillance | Younger CSs were more likely to receive a mammography compared to older CSs. White CSs were more likely to receive a mammography compared to black CSs. | Visits to a family physician increased from 55-71 % over a 5 year period. CSs with co-morbidities were less likely than CSs without co-morbidities to receive a mammography. | |
Earle et al. [23] | Primary care use Preventative care | Older CSs were less likely to receive preventative care compared to younger CSs. Black CSs were less likely to receive preventative care compared to white CSs CSs with lower SES were less likely to receive preventative care compared to CSs with higher SES. CSs residing in a rural area were less likely to receive preventative care compared to CSs residing in an urban area. | Visits to a primary care physician and an oncology specialist. | 52 % of CSs followed up by both an oncology specialist and primary care physician. 41 % of CSs followed up by primary care physician only. 4 % of CSs followed up by oncology specialist only. CSs with a co-morbidity were more likely to receive preventative care compared to CSs without a co-morbidity. CSs received more preventative care compared to controls. |
Earle and Neville [19] | Primary care use Preventative care | Non-white CSs were less likely than white CSs to receive preventative care. Older CSs compared to younger CSs were less likely to receive preventative care. | No visits to primary care physician or oncology specialist led to less preventative care receipt. | CSs compared to general population were more likely to visit a primary care physician. 50 % of CSs visited oncology specialist and other physicians. 8 % of CSs visited oncology specialist only. CSs with a co-morbidity were less likely to receive lipid testing than CSs without a co-morbidity. CSs were less likely than controls to receive lipid or cholesterol testing. |
Earle, Neville and Fletcher [43] | Mental health service use | Younger breast CSs (>65 years old) were most likely to use mental health services. | CSs compared to controls were more likely to report anxiety and sleep disorders and have greater use of mental health services. 18 % of CSs made at least 2 or 3 visits to a psychologist. Breast cancer survivors had greatest level of use. | |
Ellison et al. [33] | Follow-up cancer surveillance | White CSs were more likely to receive post-treatment surveillance compared to black cancer survivors. | Use of colorectal surveillance test increased over time for colorectal CSs. | |
Gray et al. [41] | Mental health service use | Younger CSs were more likely to use mental health services than older CSs. CSs who were employed were more likely to receive mental health services than CSs who were unemployed. CSs who were students were more likely to receive mental health services than CSs who were not students. | CSs who had additional health insurance were more likely to use mental health services than CSs who did not have additional insurance. | |
Gray et al. [42] | Mental health service use | Younger CSs were more likely to use mental health services compared to older survivors. | CSs with additional health insurance, higher income and higher education were more likely to use mental health services compared to CSs without additional health insurance, with lower income and education. | Younger CSs, with additional health insurance and a higher level of education expressed a need for services that they were not receiving. 31 % CSs made at least one visit to a mental health professional, 5 % to a psychologist and 4 % were to a psychiatrist. 0-11 % of CSs used social services, dieticians, physiotherapists and other health care providers. |
Grunfeld et al. [16] | Hospital care | CSs led by hospital follow-up had lower health service use compared to CSs led by primary care physician follow-up. | ||
Grunfeld et al. [17] | Primary care use | A small proportion of CSs followed up by primary care physician made contact with an oncologist in a 12 month period. | ||
Keating et al. [25] | Primary care use Follow-up cancer surveillance | Younger and white CSs were more likely to receive a mammogram than CSs who were older and black. | Visits to oncology specialists led to a greater likelihood in the receipt of mammogram by CSs. | Visits to primary care physicians increased over time, whereas visits to oncology specialists decreased over time. A recent diagnosis, a second cancer, large tumour and no radiotherapy receipt led to a greater likelihood of mammography receipt. |
Keating et al. [11] | Primary care use | Younger CSs were more likely to visit an oncology specialist. | The role of care provided by both primary care physicians and oncology specialists decreased over a three year period. Annual follow-up was provided to 51 % of breast CSs by primary care physicians and 27 % of CSs by oncology specialists. | |
Khan et al. [38] | Follow-up cancer surveillance Preventative care | Older CSs were more likely than younger survivors to receive influenza vaccination. | A greater number of visits to a health care provider facilitated receipt of preventative care. | Receipt of mammography decreased over time. CSs compared to the general population had similar rates of cholesterol testing and blood pressure monitoring. Colorectal CSs were more likely to receive PSA testing. Breast CSs were less likely than the general population to receive preventative care with the exception of bone densitometry. |
Khan, Watson and Rose [20] | Primary care use | Visits to primary care physician increased over time by CSs. CSs compared to the general population were more likely to visit their primary care physician. | ||
Knopf et al. [37] | Follow-up cancer surveillance | Receipt of a number of colorectal cancer surveillance procedures increased over time for colorectal CSs following treatment. | ||
Lafata et al. [30] | Follow-up cancer surveillance | Older CSs were less likely than younger CSs to receive follow-up screening within 5 years of treatment with curative intent. White CSs were more likely to receive follow-up screening than black CSs. | Receipt of colonoscopy and CEA and metastatic disease testing increased over time. | |
Mahboubi et al. [15] | Primary care use Follow-up cancer surveillance | CSs living in specific geographic areas. | 21 % of all colorectal surveillance procedures within 3 years of curative surgery were delivered by a primary care physician and 41 % by a gastroenterologist or oncology specialist. | Increased visits to primary care physicians over time. |
Mandelblatt et al. [13] | Primary care use Hospital care Follow-up cancer surveillance | White CSs were more likely to utilise health services than black CSs. | CSs with a co-morbidity, self-reported poor functioning and high depression scores had greater use and cost of health services. Within the first year of survivorship an average of 14 visits per CS was made to a medical provider. An average of 3 visits to a physiotherapist/occupational therapist per CS was made. 62 % of CSs received a mammography. | |
Mayer et al. [35] | Follow-up cancer surveillance | CSs had a greater absolute or comparative risk of developing cancer compared to the general population. | Physician recommendation increased likelihood of screening. | Greater receipt of screening among CSs compared to general population. |
McBean, Yu and Virnig [39] | Preventative care | Older and black CSs were less likely to receive preventative care compared to younger and white CSs. | Uterine CSs most likely to receive mammography if seen by a gynaecologist or an oncology specialist. CSs most likely to receive bone densitometry and influenza vaccination if seen by a primary care physician. Receipt of each test most likely if at least 5 visits to a physician and no overnight hospital stays. | Uterine CSs more likely to receive colorectal or breast cancer screening than the general population. |
Mols, Helfenrath and van de Poll-Fanse [14] | Primary care use Hospital care | CSs had similar use of primary care physician compared to general population. 0-11 % utilised social services, dieticians and physiotherapists. | ||
Mols, Coebergh and van de Poll-Fanse [22] | Primary care use Mental health service use | CSs diagnosed between 10 and 15 years previously, who were single or divorced were less likely to utilise health services compared to CSs diagnosed at different time-points and CSs with partners. | Higher education enabled use of mental health services. | CSs with a co-morbidity were twice as likely to utilise primary care physician services than CSs without a co-morbidity. Endometrial CSs had greater use of health services than the general population. 1-10 % of CSs utilised psychologist services. |
Oleske et al. [47] | Hospital care | 25 % of CSs had at least one overnight hospital stay. Experiencing menopausal symptoms and high CES-D scores led to more inpatient stays. | ||
Peuckmann et al. [12] | Primary care use | Older CSs (<75 years old) were most likely to visit their primary care physician within 3 years of treatment. | CSs had similar primary care physician use compared to the general population. Breast CSs had greater use of allied health professionals than the general population. | |
Schapira, McAuliffe and Nattinger [32] | Follow-up cancer surveillance | CSs with a co-morbidity were less likely than CSs without a co-morbidity to receive a mammography. 23 % of CSs received a macmography in the first 2 years following treatment. | ||
Schootman et al. [44] | Hospital care | Older, divorced or widowed CSs were more likely to be an inpatient than CSs who were younger, not divorced and not widowed. CSs who were not black or white were less likely to be an inpatient than CSs who were black or white. | CSs living in an impoverished area were more likely to have an overnight stay in hospital compared to CSs living in more affluent areas. CSs who had visited their physician at least once were less likely to have an overnight stay than CSs who did not visit their physician. | 13 % of CSs had at least one overnight hospital stay. CSs with at least one co-morbidity were more likely to have an overnight stay compared to CSs without a co-morbidity. |
Simpson, Carlson and Trew [18] | Primary care | Participation in psychotherapy intervention led to a reduction in health service use by CSs. | ||
Snyder et al. [9] | Primary care use Preventative care | Younger, female colorectal CSs were more likely to receive care form both a primary care physician and oncology specialist compared to older, male CSs. Older CSs less likely to receive cholesterol testing, cervical examination and bone densitometry than younger CSs. | CSs who lived in an urban area compared to CSs who lived in a rural area were more likely to receive mammography, cervical smear and influenza vaccination. Most likely to receive preventative care if followed-up by both primary care physician and oncology specialist. CSs living in rural areas were less likely to receive mammography compared to CSs living in urban areas. | CSs had increased visits over time to primary care physician. CSs had decreased visits to oncology specialists over time. Receipt of mammography and cervical screening decreased over time. Bone densitometry remained low. Rates of influenza vaccination fluctuated over time. CSs with a co-morbidity were less likely to receive cervical screening and bone densitometry, but greater receipt of influenza vaccination, cholesterol testing than CSs without a co-morbidity. |
Snyder et al. [10] | Primary care use Preventative care | Older CSs (>85 years old) were more likely to receive care from a primary care physician compared to CSs aged <75 years old. Black CSs were more likely to receive care from physicians other than a primary care physician. Black CSs compared to white CSs were less likely to receive care from a primary care physician. Non-white CSs were less likely to receive influenza vaccination than white CSs. Older CSs less likely to receive cholesterol testing and bone densitometry but were more likely to receive influenza vaccination than younger CSs. | Most likely to receive preventative care if followed-up by both primary care physician and oncology specialist. | CSs had increased visits over time to other physicians. CSs with a co-morbidity were less likely to receive cervical screening and bone densitometry, but greater receipt of influenza vaccination, cholesterol testing and mammography than CSs without a co-morbidity. |
Snyder et al. [24] | Primary care use Follow-up cancer surveillance Preventative care | Breast CSs were most likely to receive preventative care if visits were made to an oncology specialist and a primary care physician. | Majority of CSs followed up by both oncology specialist and primary care physician over time. Increased visits to oncology specialist over time. Decreased visits to primary care physician over time. Breast CSs had greater use of mammography compared to the general population. Breast CSs received less preventative care than the general population. CSs more likely to receive preventative care if general population has a co-morbidity. | |
Snyder et al. [26] | Primary care use Preventative care | Increased visits to primary care physician over time. Decreased visits to oncology specialist over time. Breast CSs received less preventative care than the general population. | ||
Van de Poll-Fanse et al. [21] | Primary care use | Younger CSs were more likely to visit an oncology specialist compared to older CSs. | Breast CSs had similar primary care physician use as the general population. | |
Yu, McBean and Virnig [40] | Follow-up cancer surveillance | Older CSs were less likely to receive mammography compared to younger CSs. | CSs with state health insurance were less to receive a mammography compared to CSs with alternative health insurance. CSs living in a rural area were less likely to receive mammography compared to CSs living in an urban area. Care from a gynaecologist rather than a primary care physician led to greater receipt of mammography. |