Follow-up after curative treatment for colorectal cancer: longitudinal evaluation of patient initiated follow-up in the first 12 months.

PURPOSE: To compare patient-triggered follow-up (PTFU) for curatively treated colorectal cancer against traditional outpatient follow-up (OPFU).
METHODS: Questionnaires were mailed at four time points over one-year post-treatment to two prospectively-recruited cohorts: A, patients entering follow-up and receiving OPFU pre-implementation of PTFU; B, patients entering follow-up (FU) and receiving either OPFU (B1) or PTFU (B2) post-implementation of PTFU. Bi-variate tests were used to compare patient characteristics and outcomes eight months after entering follow-up (generic and cancer-specific quality of life (QoL), satisfaction). Regression analysis explored associations between follow-up model and outcomes. Resource implications and costs of models were compared.
RESULTS: Patients in Cohort B1 were significantly more likely to have received chemotherapy (p < 0.001), radiotherapy (p < 0.05), and reported poorer QoL (p = 0.001). Having a longstanding co-morbid condition was the most important determinant of QoL (p < 0.001); model of care was not significant. Patients were satisfied with their follow-up care regardless of model. Health service costs were higher in PTFU over the first year
CONCLUSIONS: PTFU is acceptable to patients with colorectal cancer and can be considered to be a realistic alternative to OPFU for clinically suitable patients. The initial costs are higher due to provision of a self-management (SM) programme and remote surveillance. Further research is needed to establish long-term outcomes and costs.

Introduction

Over 50% of colorectal cancer (CRC) patients survive for five years or more [1]. With an estimated 250,000 people in the UK having a diagnosis of CRC, pressure is evident on follow-up services through competing demands of new patient management, alongside growing numbers of survivors [2]. Traditionally, following treatment, patients enter routine outpatient follow-up (OPFU) delivered by medical clinicians, and more recently by clinical nurse specialists (CNS) [3-6], for surveillance to detect treatable recurrence and manage on-going symptoms [7, 8]. Although intensive follow-up investigations to detect recurrence after curative resection offer a survival benefit for CRC, clinical examination has been shown to be of limited value [8, 9].

Alternatives to face-to-face FU have been evaluated for breast cancer, including primary care strategies [10], nurse-led follow-up [11], and patient-triggered follow-up (PTFU) [12]. For CRC, nurse-led clinics and telephone follow-up [3-6] have been shown to be effective for delivering holistic care and detecting treatable recurrence, alongside consultant care. It is untenable in the long-term, however, to substitute CNS’s for medical staff in nurse-led clinic or telephone follow-up; the CNS workforce is not expanding at a sufficient rate to keep pace with rising need [13]. PTFU offers a potential model to meet the needs of growing numbers of CRC survivors [14], linking patient-initiated contact with education to self-manage [15], and coordination by specialist colorectal CNS’s. A service improvement project was undertaken with the colorectal clinical team at a cancer treatment centre in Southern England to implement PTFU for curatively treated CRC patients, utilising a remote surveillance system [14]. As PTFU is a novel approach to FU for CRC, a service evaluation was undertaken.

In January 2012, after approval by hospital governance, a PTFU remote surveillance protocol [16] was introduced (Details in Online Resource 1). Patients enter PTFU when ongoing symptoms are resolved, either directly after surgical resection or following time spent in OPFU. They are invited to attend a 4-h self-management (SM) workshop, developed by SM researchers at Coventry University, and run by a CNS and CRC survivor. Thereafter no further routine FU appointments are arranged. Standard OPFU is available for patients who require ongoing symptom management, and for those on clinical trials requiring tailored follow up management plans. Details of the care pathway for patients accessing PTFU is in Online Resource 2. Diagnostic tests for PTFU patients are coordinated by a colorectal CNS and administrator according to the agreed surveillance protocol (Online Resource 1) using a customised IT system. Results are reviewed by the CNS, and when normal, a letter was sent to the patient. Abnormal results are reviewed at the multidisciplinary meeting and further action taken as appropriate.

The evaluation was conducted over the period following end of acute treatment and entering survivorship when those in FU care can have a range of physiological, psychosocial and functional needs, and individual patients differ in their health status and response to cancer and its treatment [17]. Patient-reported quality of life (QoL) outcomes and satisfaction with care were compared before and after the implementation of PTFU. Patients were followed for 12 months after ending treatment. Detection of recurrence and survival are not being addressed. Costs and health service utilisation were compared.

Materials and methods

Study participants

Two cohorts of patients entering follow-up were recruited prospectively. Cohort A entered OPFU before the service change, between April and December 2011; Cohort B entered follow-up after the implementation of PTFU, between January 2012 and August 2013. Depending on their clinical status, patients in Cohort B could be enrolled in either OPFU (for ongoing symptom management) or PTFU. Patients were identified through hospital records and clinician referral. Eligibility criteria were: completion of all treatment with curative intent for CRC; absence of a second cancer diagnosed during treatment; age 18 years or over; no dementia, severe memory loss, or learning disability preventing questionnaire completion. Written consent was obtained.

Data collection

Data were collected by self-report using structured questionnaires that were mailed at four time points: on completion of final curative treatment (baseline T0), 4 months later (T1), 8 months later (T2), 12 months later (T3). Reminders were sent after two, four and six weeks to non-respondents. Hospital records were used to check patient survival status prior to mailings. Socio-demographic data and information about long-term conditions (LTCs) were gathered at baseline. Postcode was used to derive the Index of Multiple Deprivation (IMD), a government measure reflecting income, employment, housing and other social indicators for local areas [18]. With consent, clinical records were accessed to gather details of time since diagnosis, all types of treatments received, date of entering FU, timing of recurrence or metastatic disease, and, for PTFU patients, attendance at a SM workshop (yes/no).

Outcome measures

Generic health related quality of life (HRQoL) was measured with EQ-5D-5 L. Scores for each of five domains (mobility, self-care, usual activities, pain, anxiety / depression) are combined and converted into a summary utility index; a maximum score of 1 indicating “full health” (no problems on any domain). Participants also completed the EQ-5D visual analogue scale (range 0–100 best possible health) [19, 20]. Cancer-specific QoL was measured using the Functional Assessment of Cancer Therapy: General (FACT-G) yielding four functional subscales (physical, social, emotional, functional wellbeing); higher scores indicate better functioning. [21], and FACT-C Colorectal Cancer Subscale (CCS) higher score indicates better functioning [22].

A tool was designed for this study to assess patient experience of follow-up care, with 8 items generated from a review of follow-up evaluations, covering: reassurance, who to contact with problems, comfort about contacting health professionals (HPs) with problems, feelings of isolation, thoroughness of care, ability to ask questions, sufficient time from HPs, involvement in care decisions. [11, 12, 23]. Responses were scored 0 to 100 (best). Respondents also rated if care was acceptable (yes/no/unsure); met their expectations (exceeded/met/fell short); and their perception of service quality (excellent/very good/good/fair/poor).

Sample size calculation

The primary outcome was the FACT-G. Other related studies have observed pertinent survivorship issues following completing treatment for CRC, suggest a standard deviation (SD) of 14.6 [24] for FACT-G within the first year after surgery. In order to detect an underlying difference of 10 points in FACT-G whilst making no assumption about statistically significant difference direction, using a two-sided test with size =5% and power = 80%, required at least 35 patients in each follow-up regime (the pre and post change cohorts). With six months planned for recruitment for Cohort A (OPFU), a sample of 35 was considered achievable, even allowing for up to 40% dropout [25-27]. However, in order to conduct a valid comparison between OPFU and PTFU, a larger cohort was deemed necessary for Cohort B because clinicians would not enrol all patients directly into PTFU. Assuming at least one in three patients is in PTFU by T2, and a dropout rate of not more than 40% by T2, at least 175 patients needed to be recruited to Cohort B to acquire at least 35 PTFU patients at T2.

Data analyses

Baseline characteristics of responders and non-responders were compared. Patients in the post-change B cohort, who started follow-up in PTFU or had been transferred by clinicians to PTFU by T2, were assigned to group B2 for analysis. Patients remaining in OPFU (B) at T2 were assigned to group B1. Summary statistics (numbers, proportions, means, and standard deviations) were calculated for all variables at baseline and T2, and comparisons between follow-up regimes were conducted using appropriate statistical tests (chi-square for categorical variables, Fisher’s exact test for dichotomous variables when an expected cell count of <5 was encountered, unpaired t-test for continuous variables, Mann-Whitney U test for ordinal variables). Forward linear regression modelling was undertaken to explore the effect on patient outcomes (EQ-5D utility index, FACT-G, general QoL score, additional colorectal cancer concerns score (CCS)) after different exposure lengths to PTFU while controlling for demographic factors, co-morbid conditions, and clinical management.

Economic evaluation

The NHS perspective was primarily adopted, comparing costs of OPFU with PTFU in British Pounds, 2013. Two factors were considered: impact on direct costs, reflecting replacement of clinic follow-up visits in OPFU, by self-management in PTFU; unscheduled service use by patients, to explore if removal of outpatient clinic access was associated with increased visits to other health professionals. Resources involved in delivering OPFU and PTFU were obtained from clinic protocols and health professionals, covering the first year of follow-up. Costs were attributed to staff resources using validated national scales [28], and costs of facilities and other physical resources based on actual expenditures. To measure service utilisation, patients were asked at each time point to retrospectively self-report health service use since completing the last questionnaire, using a modified Client Service Receipt Inventory [29]. To minimise confounding, since some patients moved from OPFU to PTFU between T0 and T2, the analysis period was confined to between T1 and T2. Paired group comparison was undertaken (A vs. B; B1 vs. B2; A vs. B2), covering utilisation of the most commonly used services. To assess personal costs, information was requested on travel to clinic appointments, whether accompanied by others, and time lost from work. Travelling distance to the hospital was calculated using postcodes.

Ethical considerations

The National Research Ethics Service judged this to be a service evaluation. Governance approval was obtained from the Trust Research and Development Department; the study was conducted according to the ethical principles of informed consent and assurance of confidentiality. Storage and processing of data conformed to the Data Protection Act 2000.

Results

Recruitment and retention

Of 124 patients sent baseline questionnaires in Cohort A, 75 (60.5%) were returned in a timely manner; 176 of 239 (73.6%) were returned in Cohort B. Not all patients responded at subsequent time periods; 53 (70.7%) and 79 (44.9%) responses were analysable at T2 respectively (Figs. 1 and 2). Of the 176 patients recruited into the second phase of the study, there were 31 in PTFU at T0; 34 had crossed over by T1, a further 14 had crossed over by T2, and a further 5 at T3.

Fig. 1

Flow chart of recruitment and retention of patients in Cohort A

Fig. 2

Flow chart of recruitment and retention of patients in Cohort B

Comparison of the 251 responders with 112 non-responders at baseline revealed no significant difference in age, sex, or deprivation. Comparison of the characteristics of 132 participants at T2 against the remaining 119 baseline patients from whom a T2 questionnaire was not obtained, showed that those not in the analysis at T2 were more likely to have a recurrence or metastatic disease (data not shown).

Baseline comparison of groups

Comparison of Cohorts A (n = 75) and B (n = 176) at baseline showed a significantly higher proportion of Cohort B patients had received chemotherapy, and a significantly higher proportion of Cohort A patients reported having arthritis. The groups did not differ on socio-demographic characteristics (mean age 72 years, 40% women) or outcome measures (Table 1).

Table 1

Socio-demographic, clinical characteristics, treatment, and patient reported outcomes according to model of follow-up at T0: Cohort A vs Cohort B, and Cohort B1 vs Cohort B2

		Cohort		Difference P-value	Cohort		Difference P-value
Characteristics		A (n = 75)	B (n = 176)		B1 (n = 92)	B2 (n = 84)
Socio-demographic	Age mean(SD)	72.9 (8.7)	71.6 (10.6)	0.340a	71.1 (10.4)	72.1 (10.8)	0.524a
	Gender = Female (%)	27(36)	74(42)	0.371b	38(41)	36(43)	0.835b
	Ethnicity = White (%)	70(97)	171(99)	0.156b	89(99)	82(100)	1.000b
	Domestic status =Live alone (%)	21(30)	38(22)	0.347b	14(16)	24(30)	0.155b
Education, Highest qualification	No qualifications (%)	25(42)	56(36)	0.658c	31(39)	25( 32)	0.296c
	GCE/O Level (%)	8(13)	25(16)		14(18)	11(14)
	A-Level (%)	4(7)	14(9)		5(6)	9(12)
	Vocational qualification	15( 25)	42(27)		22(28)	20( 26)
Working status	Unable to work (%)	6(9)	11(6)	0.275b	7( 8)	4(5)	0.554b
	Able to work (%)	7(10)	31(18)		14(16)	17(21)
	N/A Retired (%)	56(81)	128(75)		67(76)	61(74)
	Hours worked last week (SD)	20.55(16.07)	25.05(15.75)	0.560a	21.08(15.52)	28.28(15.67)	0.227a
	Hours normally worked per week mean(SD)	26(13.38)	30.19(13.2)	0.492a	27.05(13.44)	32.5(12.99)	0.307a
	Days sick leave in past 4 weeks mean (SD)	2 (4.47)	3.76 (7.75)	0.630a	5.1 (7.64)	2.87 (7.95)	0.492a
Clinical	Months, first diagnosis to T0 mean (SD)	7.6(4.66)	6.51(3.72)	0.075a	7.81(4.11)	5.09(2.59)	<0.001a
	Months, end of last treatment to T0 mean(SD)	3.08(2.54)	2.22(1.69)	0.010a	2.53(1.81)	1.9(1.5)	0.015a
	Months, end of last treatment to PTFU mean(SD)	-	-	-	-	3.75(3.61)	-
	Number of LTCs mean (SD)	1.1 (1.19)	0.95 (1.07)	0.348a	1.02 (1.14)	0.88 (0.99)	0.372a
	Diabetes ( %)	10(14.3)	25(15)	0.892b	15(17.4)	10(12.3)	0.356b
	Heart Disease (%)	7(10)	21(12.6)	0.575b	10(11.6)	11(13.6)	0.704b
	COPD (%)	2(2.9)	6(3.6)	1.000d	3(3.5)	3(3.7)	1.000d
	Arthritis (%)	17(24.3)	23(13.8)	0.049b	10(11.6)	13(16)	0.407b
	Depression (%)	3(4.3)	6(3.6)	0.726d	3(3.5)	3(3.7)	1.000d
	High blood pressure (%)	27(38.6)	48(28.7)	0.138b	30(34.9)	18(22.2)	0.071b
Last treatment received	Surgery (%)	59(84)	117(70)	0.114b	47 (53)	70(90)	<0.001b
	Chemotherapy (%)	10(14)	43(26)		36(40)	7( 9)
	Radiotherapy (%)	1(1)	3(2)		3(3)	0(0)
	Other (%)	0(0)	4(2)		2(2)	2(3 )
Additive treatment	Surgery only (%)	52(69)	107(61)	0.024b	40(43)	67(80)	<0.001b
	Surgery + Chemotherapy (%)	8(11)	48(27)		36(39)	12(14)
	Surgery + Chemotherapy +Radiotherapy (%)	10(13)	16(9)		12(13)	4( 5)
	Surgery + Radiotherapy (%)	3(4)	5(3)		4(4)	1(1)
	Surgery + Microwave Ablation (%)	1(1)	0(0)		(0)	(0)
	Surgery +Chemotherapy +Microwave Ablation (%)	1(1)	0(0)		(0)	(0)
Previous cancer diagnosis	Yes (%)	8(11)	14(8)	0.487b	9(10)	5( 6)	0.348b
	No (%)	67(89)	162(92)		83(90)	79(94)
	Metastatic disease removed prior to T0: No (%)	72(96)	171(97)	0.699d	87(95)	84(100)	0.060d
Patient Reported Outcome Measures	EQ5D-5 L index, mean(SD) [worst −0.594,best 1]	0.8(0.21)	0.82(0.17)	0.480a	0.79(0.16)	0.86(0.17)	0.010a
	EQ5D-5 L VAS mean(SD) [worst 0–100]	76.57(21.16)	77.35(16.95)	0.758a	73.5(18.55)	81.73(13.79)	0.001a
	FACT:PWB mean(SD) [worst 0, best 28]	24.05(4.9)	24.7(3.74)	0.307a	23.91(4.26)	25.59(2.82)	0.003a
	FACT:SWB mean(SD) [worst 0, best 28]	22.97(5.41)	22.6(6.13)	0.662a	23.16(4.98)	21.99(7.15)	0.224a
	FACT:EWB mean(SD) [worst 0, best 24]	20.68(3.96)	20.52(3.28)	0.744a	20.23(3.05)	20.82(3.5)	0.246a
	FACT:FWB mean(SD) [worst 0, best 28]	20.52(8.02)	20.63(6.65)	0.705a	19.92(6.34)	21.65(6.88)	0.060a
	FACT: CRCs mean(SD) [worst 0, best 28]	21.38(5.12)	22.06(4.55)	0.301a	20.98(5.06)	23.23(3.62)	0.001a
	FACT-G total mean(SD) [0 worst, best 108]	89.81(16.35)	89.08(14.15)	0.736a	88.22(12.84)	90.01(15.48)	0.429a

Cohort A: Pre-change outpatient follow-up; Cohort B: Post-change outpatient follow-up + PTFU;

Cohort B1: Post-change outpatient follow-up only; Cohort B2: Post-change PTFU only

aUnpaired t test

bChi-square test

cMann-Whitney U test

dFisher’s Exact test

Abbreviations: GCE/O level = General Certificate of Education, Ordinary level; A-level = Advanced level; PTFU = patient-triggered follow-up; LTCs = Long term conditions; COPD = Chronic obstructive pulmonary disease; EQ5D-5 L = Euro-Qol Group index; VAS = visual analogue scale; FACT = Functional Assessment of Cancer Treatment; PWB = physical wellbeing subscale; SWB = social wellbeing; EWB = emotional wellbeing; FWB = functional wellbeing; CRCs = additional colorectal cancer concerns; FACT-G = Functional Assessment of Cancer Therapy- General Total QoL score

At baseline, most of the 176 patients in Cohort B were still in OPFU (145 vs. 31 in PTFU). No significant differences were found in socio-demographic characteristics of patients in B1 and B2. Patients retained in OPFU (B1) compared to those selected for PTFU (B2) were more likely to have received chemotherapy, radiotherapy, and multiple treatments. They reported lower self-rated health and physical wellbeing, and worse CCS scores (Table 1)

Outcomes at T2

QoL outcomes were not significantly different between Cohorts A and B at T2. Compared to patients in B1 (OPFU), those in B2 (PTFU) had significantly better HRQoL and CCS scores (Table 2). Regression modelling identified a high number of LTCs as the dominant factor associated with adverse HRQoL outcomes; this was offset by a positive effect for heart disease(HD). Chemotherapy negatively affected CCS scores. Patients in work reported worse CCS scores. Time spent in PTFU was not significantly associated with any outcome. The models explained less than 20% of the variation (Table 3).

Table 2

Patient reported outcomes according to model of follow-up at T2:Cohort A vs Cohort B, and Cohort B1 vs Cohort B2

		Cohort		Difference P-value	Cohort		Difference P-value
Characteristics		A (n = 53)	B (n = 79)		B1 (n = 38)	B2 (n = 41)
Socio-demographic/Clinical	Age at T2 mean(SD)	72.9 (8.7)	71.6 (10.6)	0.340a	71.1 (10.4)	72.1 (10.8)	0.524a
	Months from first diagnosis to T2 mean (SD)	15.05(4.31)	14.21(3.24)	0.201a	15.55(3.6)	12.96(2.26)	0.003a
	Months from end of last treatment to T2 mean(SD)	11.08(2.45)	10.47(1.77)	0.128a	10.68(1.81)	10.29(1.73)	0.333a
	Months from end of last treatment to PTFU mean(SD)	Not applicable	6.28(4.10)	Not applicable	15.52(2.42)	5.38(2.94)	<0.001a
Additive Treatment	Surgery only (%)	38(72)	49(62)	0.123b	16(42)	33(80)	0.004b
	Surgery + Chemo (%)	4(8)	19(24)		14(37	5(12)
	Surgery + Chemo +RT (%)	6(11)	8(10)		5(13)	3(7)
	Surgery + RT (%)	3(6)	3(4)		3(8)	0(0)
	Surgery + MA (%)	1(2)	0(0)		0(0)	0(0)
	Surgery + Chemo + MA (%)	1(2)	0(0)		0(0)	0(0)
Patient reported outcomes	EQ5D-5 L health score mean(SD)	0.81(0.23)	0.83(0.17)	0.480a	0.79(0.16)	0.87(0.15)	0.033a
	EQ5D-5 L VAS mean(SD)	81.58(18.45)	78.5(15.56)	0.302a	73.57(16.66)	83.07(13.07)	0.006a
	FACT:PWB mean(SD)	24.19(5.6)	25.31(3.7)	0.199a	24.56(3.96)	26.05(2.19)	0.043a
	FACT:SWB mean(SD)	22.92(4.65)	21.7(6.35)	0.227a	21.64(6.53)	21.82(6.25)	0.899a
	FACT:EWB mean(SD)	20.94(3.39)	20.28(3.13)	0.269a	19.82(3.23)	20.73(2.99)	0.205a
	FACT:FWB mean(SD)	21.38(6.92)	20.97(5.7)	0.715a	19.46(5.72)	22.4(5.37)	0.022a
	FACT: CRCs mean(SD)	22.2(4.89)	22.66(3.51)	0.566a	21.77(3.75)	23.55(3.05)	0.026a
	FACT-G total mean(SD)	91.98(15.01)	88.31(13.3)	0.163a	85.48(13.58)	91.15(12.56)	0.063a

Cohort A: Pre-change outpatient follow-up; Cohort B: Post-change outpatient follow-up + PTFU;

Cohort B1: Post-change outpatient follow-up only; Cohort B2: Post-change PTFU only

aUnpaired t test

bChi-square test

Abbreviations: PTFU = patient-triggered follow-up; Chemo = chemotherapy; RT = Radiotherapy; MA = microwave ablation;

PROM = patient reported outcome measurement; EQ5D-5 L = Euro-Qol Group health score[worst −0.594,best 1]; VAS = visual analogue scale[worst 0–100]; FACT = Functional Assessment of Cancer Treatment; PWB = physical wellbeing subscale[worst 0, best 28]; SWB = social wellbeing[worst 0, best 28]; EWB = emotional wellbeing[worst 0, best 24]; FWB = functional wellbeing[worst 0, best 28]; CRCs = additional colorectal cancer concerns[worst 0, best 28]; FACT-G = Functional Assessment of Cancer Therapy- General Total QoL score[0 worst, best 108]

Table 3

Regressions at T2

Outcome at T2 [range]	Constant	Ba	Predictor	P - value	R2
EQ5D-5 L [−0.594 to 1(best)]	0.877	-0.066b	Number of longstanding conditions including ‘other’ at T2	<0.001	0.121
FACT-G at T2 [0 to 108(best)]	95.225	-5.266c	Number of longstanding conditions including ‘other’ at T2	<0.001	0.168
		+13.226d	Had heart disease at T2	0.008
		-5.741e	Had chemotherapy by T0	0.047
Colorectal Cancer Concerns [0 to 28(best)]	24.227	-3.197f	In work at T2	0.001	0.188
		-1.240g	Number of longstanding conditions including ‘other’ at T2	0.003
		+3.637h	Had heart disease at T2	0.009

aUnstandardised coefficient

bEach longstanding condition reduces EQ5D score by 0.066, so 3 longstanding

conditions, score falls (worse by 0.2 points)

cEach longstanding condition reduces FACT-G score by 5.266 points, so 3

longstanding conditions, score falls (worse by 15.8 points)

dIf heart disease present, FACT-G score rises (better by 13.226 points)

eIf had chemotherapy, FACT-G score falls (worse by 5.741 points)

fIf in work, colorectal cancer concerns score falls (worse by 3.197 points)

gEach longstanding condition reduces colorectal cancer concerns score by 1.24

points, so 3 longstanding conditions, score falls (worse by 3.72 points)

hIf heart disease present, FACT-G score rises (better by 3.637 points)

EQ5D-5 L EurolQol health index; FACT-G functional assessment of cancer therapy -general

There were no significant differences in experience of follow-up care between OPFU (A and B1) and PTFU (B2) with respect to reassurance, access to specialist support, ability to ask questions, time spent with doctors/nurses, and involvement in decision-making. More patients in PTFU (36/37; 97.3%) found their follow-up to be acceptable (vs. not/unsure) than patients in OPFU (24/32; 75%) (p = 0.010). There were no significant differences between groups regarding quality of care or the extent to which it met expectations; most reported high satisfaction (Table 4).

Table 4

Patient reported quality, and expectations of follow-up care at T2: Cohort A, B1, and B2

		Quality of care											Expectations about care
Cohort		Excellent		Very good		Good		Fair		Poor		Total	Exceeded		Met		Fell short		Total
		n	%	n	%	n	%	n	%	n	%		n	%	n	%	n	%
Aa	OPFU	16	35.6	15	33.3	9	20	4	8.9	1	2.2	45	9	21.4	31	73.8	2	4.8	42
B1b	OPFU	6	17.1	16	45.7	7	20	5	14.3	1	2.9	35	4	12.1	25	75.8	4	12.1	33
B2c	PTFU	10	29.4	16	47.1	6	17.6	2	5.9	0	0	34	5	16.1	26	77.4	0	0	31
Mann Whitney U test		A and B1 (OPFU) vs. B2 (PFTU) at T2							p = 0.371				p = 0.542
		B1 (OPFU) vs. B2 (PTFU) at T2							p = 0.110				p = 0.165

aPre-service change outpatient follow-up

bPost-service change outpatient follow-up

cPost-service change patient triggered follow-up

Costs and service utilisation

Detailed analysis of the patient pathways under OPFU and PTFU showed that PTFU was up to £142.24 per patient more expensive than OPFU in the first year. Savings in outpatient appointments in PTFU were outweighed by the costs of the self- management workshop and remote surveillance (Online Resource 3 Table, of Resources and Costs). No significant differences were found between utilisation of community and hospital services for any group comparison (data not shown), except GP visits were higher for OPFU patients than PTFU patients (1.84 vs. 1.08 monthly visits, p = 0.024). Most patients (76.9%) reported travelling to clinic by car, the mean (SD) round trip distance between home postcodes and the hospital being 18.73 (12.82) miles. Applying the NHS mileage reimbursement rate (2014) of 50.5p per mile, a move to PTFU would save £28.38 per patient in the first year (assuming OPFU involves four clinic visits vs one in PTFU). The majority (87.9%) were mostly or sometimes accompanied to clinics so additional savings might arise for companions (22.3%) taking time off work.

Discussion

This study makes an important contribution to our understanding of the impact of introducing PTFU for CRC survivors. When the new model was launched, clinicians’ choices of follow-up model were influenced by patients’ disease and treatment characteristics, health outcomes and symptom burden. When PTFU was introduced, almost one half (48%) of patients were enrolled in PTFU within 8 months of entering follow-up (mean time from final treatment to entering PTFU of 3.75 months). This pattern is similar to findings from three other NHS hospitals piloting stratified follow-up for colorectal patients, where 40–45% were judged able to self-manage 4–6 months’ post-treatment or reversal of stoma [30], and a study of remote surveillance for post-resection patients, which enrolled 50% in the new model [31]. As a new practice model early in its implementation, the role of clinician attitude and culture may have limited PTFU enrolment in our study, requiring time to evolve so that trust with the new system can be established [10]. Patient choice may also have influenced selection of follow-up model [32].

Since the evaluation covered the early period post-treatment, the majority of the PTFU group were patients post-surgical resection who had not undergone chemotherapy. Patients who were not enrolled in PTFU were found to have poorer HRQoL and cancer specific QoL, which may explain why these patients made more visits to their general practitioner than did PTFU patients. It is clear that treatment factors are important predictors of patient outcomes. For patients in this study, chemotherapy was predictive of poorer cancer specific QoL and colorectal concerns, a finding consistent with other studies investigating QoL in CRC patients [33].

Eight months after the end of treatment, having one or more LTCs was the most dominant negative influence on HRQoL, cancer specific QoL, and colorectal concerns. This finding is consistent with other studies, and accounts for activity limitations, and participation restrictions (in work, daily activities) [25-27]. The importance of bowel symptoms such as diarrhoea and faecal control and QoL have been reported before [27, 34], and coping with these symptoms in the workplace probably accounts for the negative association of colorectal concerns with being in work. The positive effect on colorectal concerns by HD may be related to behaviours learned to self-manage heart disease as a LTC, being used to cope with the adverse effects of CRC treatment on bowel control. A proportion of participants with HD will have attended a cardiac rehabilitation programme, having benefits, which equipped participants to deal with another serious condition. [35]

Follow-up model was not a significant influence on outcomes in this study, possibly because the FU period was too short to make a significant impact on patients. Findings by Siddika et al. [31] indicate patient satisfaction with remote surveillance is high in years 3 and 4 of follow-up. Few other studies have evaluated PTFU as an alternative to OPFU, but those evaluating breast follow-up found no difference in QoL, psychological morbidity, [11, 12] or satisfaction [31]. No study has indicated PTFU is less safe than routine OPFU, and a recent 5-year remote surveillance study of surgically treated CRC patients [31] found the approach safe and cost-effective. The presence of symptom morbidity interacting adversely with LTCs (over a quarter of patients in this study had two or more) identifies a subgroup of patients where nurse-led risk assessment could lead to tailored follow-up plans for survivors who may require more active support. This is a key finding; as more services move towards risk-stratified approaches to follow-up care, defining the individual dimensions of supportive care required by all CRC survivors is an essential precursor to relevant supportive care services [36].

After active treatment, survivors can experience sudden and unforeseen anxiety and distress in the transition to follow-up care [37]. Evidence from a survey of patient-reported outcomes suggests information and preparation for follow-up is limited, a qualitative analysis of comments leading researchers to conclude “patients being cut adrift” by the health system after active treatment [38]. An important and positive finding from our study demonstrates that most patients were reassured by their follow-up, found their care either exceeded or met their expectations, and reported excellent or very good quality of care.

More PTFU than OPFU patients found their care to be acceptable. PTFU provided ingredients evidenced to be very important to patients: convenience, tailored information [39], reassurance through a formal process of quick access to specialist advice and tests [37], continuity of care-provider (CNS) [37], and a trusting relationship with specialist nurses [39]. Data available from the study can be utilised to modify and improve the service and address the needs of the small sub-group who found aspects of their care not acceptable.

Expectations of care were met or exceeded for all patients in PTFU but were not realised by a small number of patients in OPFU. This may reflect that, in contrast to PTFU patients who attend a self-management workshop, those in OPFU receive no formal explanation of the follow up processes. Also, OPFU patients are more troubled by symptoms. Routine clinic check-ups and tests intended to allay anxiety, provide only temporary reassurance for some, who then have an anxious wait for their next clinic visit [37]. Moreover, support for on-going symptoms, and concerns after treatment, may have been lacking [40].

The present study responded to the need to redesign existing services to improve patient experience and address the rising demand for follow-up that puts limited resources under pressure. Exploring impact on resource use and costs is important when redesigning follow-up care models [41]. After one year, released clinical capacity in the study setting enabled the establishment of a nurse-led service for patients with complex needs. PTFU was, however, slightly more expensive than OPFU in the first year, largely due to a self-management workshop and costs associated with staff organising remote surveillance. If fixed costs of training and IT software had been included in the calculations, excess costs would have been greater. Economies of scale in the delivery of the workshop may be realised in the future as the service reaches capacity. Taking a five-year perspective, up to ten outpatient appointments could be saved by PTFU. In addition to health care system savings, PTFU reduces time and financial costs for patients associated with having a cancer diagnosis [42].

The strengths of the study are its prospective longitudinal design and use of validated tools for comparing QoL [19-22] in post-treatment CRC survivors experiencing novel and standard follow-up care. Important insights on stratification of patients post- treatment and perceptions of care quality were provided which if addressed should improve follow-up in the future. The new PTFU model was designed with clinicians, and delivered by these same clinicians. It preserved clinical judgement about the best follow-up model for their patient, reflecting a real world embedded service evaluation [43].

The study has several limitations. Data collection of the post-change cohort was started soon after PTFU was commenced in order to achieve planned recruitment within the study period. Clinicians made the decision to enrol patients in PTFU, but readiness to change was limited and willingness evolved with time. This had an impact on the size of this group. It also meant that patients in OPFU were generally sicker, making it difficult to interpret the differences in patient and health service outcomes. Transfer of patients from OPFU to PTFU at differing times resulted in contamination of the PTFU group. In the analysis, any patient who entered PTFU before T2 was considered to be in the PTFU group but this masked considerable variability in timing. Also, delayed distribution and return of questionnaires meant some assessments deviated from the planned schedule of data collection. Data collection was curtailed due to time pressures, therefore numbers of patients were not sent follow-up questionnaires at T1/2/3. The decision to undertake the analysis at T2 (8 months post final treatment), prevented comparison of the 12-months outcomes for the two models was pragmatic, in that loss to follow-up gradually reduced group sizes. Attrition at T2, particularly in group B was high due to recurrence or metastatic disease.

In conclusion, enrolment of patients in PTFU is largely a clinical decision determined by the pace of patient recovery. This model of PTFU, introduced by a self-management workshop [44], was found acceptable to patients, and will allow low, and some moderate risk patients to undergo five-year surveillance without routine clinic attendance but with access to clinical input if necessary. Cancer specific QoL and HRQoL outcomes were influenced by side effects of treatments and the presence of LTCs, rather than the follow-up model, and should lead to the promotion of targeting tailored supportive care for those at risk.

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