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Effectiveness of Peri-Discharge Complex Interventions for Reducing 30-Day Readmissions among COPD Patients: Overview of Systematic Reviews and Network Meta-Analysis Cover

Effectiveness of Peri-Discharge Complex Interventions for Reducing 30-Day Readmissions among COPD Patients: Overview of Systematic Reviews and Network Meta-Analysis

Open Access
|Feb 2022

Full Article

Introduction

Chronic obstructive pulmonary disease (COPD) is a progressive and life-limiting disease that imposes a huge clinical and economic burden on health system [1]. In 2019, the number of COPD patients was approximately 212 million worldwide [2]. The World Health Organization predicts that by 2030, it will be the third leading cause of mortality globally [3]. COPD is also one of the most common causes for 30-day readmissions [4, 5], which are considered as a highly common, expensive, and unfavourable outcome of health systems [6, 7, 8, 9]. In 2011, the 30-day readmission rates among COPD patients in the United States and Hong Kong were 22% [10] and 24% [11], respectively. The 30-day readmissions were associated with lower quality of life [12, 13] and irreversible damage on patients exercise capacity, muscle strength, and physical activity level. It also increased mortality [14] and health care expenditure [15] for COPD patients.

Fortunately, it is estimated that up to 37% of 30-day readmissions among COPD patients are preventable [16]. To respond to the call for reducing 30-day readmissions in different health systems such as the United States [17] and the UK [18], numerous peri-discharge complex interventions have been proposed, evaluated, and implemented [19, 20]. A previous systematic review (SR) indicated that discharge support intervention for COPD patients was significantly more effective in reducing 30-day all-cause readmissions when compared with usual care [21]. According to another meta-analysis of eight randomized controlled trials (RCTs), discharge support intervention was more effective in reducing 6-month all-cause readmissions than usual care among COPD patients [22]. Besides, findings of an SR showed that pulmonary rehabilitation was more effective than usual care in reducing COPD-related readmissions within 3–12 months after discharge [23].

The key goal of these peri-discharge complex interventions is to ensure a seamless transition from inpatient to outpatient care. Quality of such transition is considered as one of the key factors associated with successful prevention of avoidable 30-day hospital readmissions [24]. These peri-discharge complex interventions can be considered as a form of integrated care, as it fits into at least two common definitions of integrated care. Firstly, from a healthcare manager’s perspective, delivery of peri-discharge complex interventions demands the creation and maintenance of a coordinated, interdependent service structure between individual providers and organizations for driving the common goal of reducing avoidable readmissions [25]. Secondly, from a chronic care perspective, these peri-discharge complex interventions seek to manage multiple needs of COPD patients by linking services from different providers along the continuum of care [26].

In practice, the nature and components of peri-discharge complex interventions vary across health systems. For example, discharge support intervention can be included in both pre-discharge preparation and post-discharge care for COPD patients [21]. For pre-discharge preparation, discharge rounds and discharge protocols implemented by multidisciplinary teams would be tailored in accordance with their multiple needs. For post-discharge care, patient empowerment and telephone follow-up would be provided to encourage patients’ active participation in self-care. In addition, efforts could be made to improve the communication between hospital-based specialists, primary care physicians and social care professionals to enhance intersectional collaboration and continuity of care. These initiatives would be provided to COPD patients as a bundle with the aim to prevent avoidable hospital readmissions.

Existing studies have summarized the effectiveness of various peri-discharge complex interventions for reducing readmissions at different time points [21, 22, 23, 27, 28], but their comparative effectiveness is uncertain. In this overview of SRs and network meta-analysis (NMA), we aimed to evaluate the comparative effectiveness of different peri-discharge complex interventions on reducing 30-day readmissions among COPD patients.

Research Methods

This study was reported according to the PRISMA extension statement for NMA [29]. Protocol was registered in the PROSPERO database (Registration No. CRD42020204719). Detailed inclusion criteria of SRs and RCTs are shown in Table 1.

Table 1

Inclusion criteria for eligible systematic reviews (SRs) and randomized controlled trials (RCTs).

INCLUSION CRITERIAELIGIBLE SRSELIGIBLE RCTS
Participants
  1. Adult patients (≥18 years) admitted from the community to a hospital inpatient ward for 24 hours or more; and

  2. The diagnosis of the initial admission was COPD.

  3. Participants with behavioural health issues, paediatric, or obstetric admission were excluded.

InterventionsAny pre-emptive peri-discharge complex interventions for reducing readmissions.
ComparisonsAny types of control as comparisons, including usual care.
OutcomesEligible SRs should report readmission outcomes in both intervention and control groups.Eligible RCTs should report 30-day all-cause or 30-day COPD-related readmissions in both intervention and control groups

Inclusion criteria for SRs

SR is defined as an “endeavour to identify, appraise, and synthesize all the evidence that fulfils pre-specified eligibility criteria to answer a specific research question” in the Cochrane Handbook version 6 [30]. Accordingly, SRs eligible for this overview should fulfil all of the following characteristics [31]: i) state clear research questions; ii) describe a reproducible search strategy including databases, search platforms/engines, search date, and complete search strategy; iii) report inclusion and exclusion criteria; iv) include screening methods; v) critically appraise risk of bias of included studies; vi) report data analysis methods which allow reproducibility, vii) being published in English or Chinese; and viii) satisfy the following criteria for participants, interventions, comparisons, and outcomes:

Participants

Participants should be adult patients (≥18 years) admitted from the community to a hospital inpatient ward for 24 hours or more with a diagnosis of COPD. Participants with behavioural health issues, pediatric, or obstetric admission were excluded.

Interventions and comparisons

Interventions should be any pre-emptive peri-discharge complex interventions for reducing readmissions, which were compared with any types of control as comparisons, including usual care. In this study, peri-discharge complex interventions referred to interventions comprising multiple interacting components delivered during the peri-discharge process [32]. Usual care was defined as routine care provided by hospitals, as prompted by the needs of the patients. There was no restriction on the number of components included in both peri-discharge complex interventions and in control interventions. Aside from hospitals, peri-discharge complex interventions implemented in the following settings were also eligible: convalescent hospitals, nursing homes, hospices, primary care, the community, or patients’ homes.

Outcomes

Eligible SRs should report readmission outcomes in both intervention and control groups among the embedded RCTs. Details are listed in the paragraph below.

Inclusion criteria of RCTs embedded in SRs

After including all eligible SRs, embedded RCTs were extracted and assessed for eligibility criteria as well. To be included, an embedded RCT should fulfill the same criteria for participants, interventions, and comparisons for SRs as abovementioned. For outcomes, eligible RCTs should report 30-day all-cause or 30-day COPD-related readmissions in both intervention and control groups. Primary and main secondary outcomes are 30-day all-cause and 30-day COPD-related readmissions, respectively. These two outcomes are chosen because they are considered to be modifiable by appropriate peri-discharge complex interventions among policy makers [33]. For instance, the US Hospital Readmission Reduction Program (HRRP) regarded all unplanned readmissions within 30 days after discharge as an indicator of poor performance, which would lead to financial penalties to hospitals if the risk-standardized 30-day readmission rates are higher than expected [34, 35].

Other secondary outcomes included 3-month and 6-month all-cause readmissions, as well as 30-day mortality. The 3-month and 6-month readmission outcomes are selected as they can reflect the medium-term impact of peri-discharge complex interventions. These readmissions are known to be associated with a substantial risk of mortality and adverse impacts on health-related quality of life [36, 37]. Lowering readmission rate may inadvertently increase mortality rate, therefore this is considered as a secondary outcome of interest as well [35].

Literature search

We searched for SRs in MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Global Health, and AMED from the databases’ inception till August 2019. We applied specialized filters with balanced sensitivity and specificity for SRs in MEDLINE and EMBASE. No restrictions on publication status were imposed.

To be more comprehensive, we conducted an updated search for potentially eligible RCTs in MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials published from databases’ inception till Jun 2020. Detailed search strategies for SRs and RCTs are shown in Appendix 1a-1b, respectively. Their eligibility criteria were the same as illustrated in Table 1.

Literature selection, data extraction, methodological quality assessments, risk of bias assessment, and quality of evidence rating

Literature selection, data extraction, methodological quality assessments [38], risk of bias assessment [39], and quality of evidence rating [40, 41] were conducted by two reviewers (CW, CZ) independently. Disagreements were resolved by discussion. A third reviewer (VC) was consulted to settle unsolved discrepancies. Details of literature selection and data extraction could be found in Appendix 2.

We used the validated AMSTAR 2 instrument [38] to appraise methodological quality of included SRs. Overall methodological quality of each SR was appraised as high, moderate, low, or critically low. We applied the Cochrane Risk of Bias Tool 2 [39] to assess risk of bias of included RCTs. Overall risk of bias of each RCT was judged as low risk of bias, some concerns, or high risk of bias based on the answers to the signaling questions across the following five domains, including i) bias arising from the randomization process, ii) bias due to deviations from intended interventions, iii) bias due to missing outcome data, iv) bias in measurement of the outcome, and v) bias in selection of the reported result [39]. We adopted the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to assess the overall quality of evidence, respectively for pairwise meta-analyses [40] and NMA [41]. The quality of evidence for each outcome was graded as high, moderate, low, and very low [4041].

In each included RCTs, peri-discharge complex interventions for reducing readmissions consisted of different components. To facilitate analysis, we coded components of different peri-discharge complex interventions based on a published classification framework [42] (see Appendix 3). Two reviewers (CW, CZ) performed the coding process independently after co-piloting, and reached a consensus on an unitified coding result after discussion. A third reviewer (VC) would make the decision if consensus cannot be reached for individual interventions.

Data analysis

Pairwise meta-analyses

Following standard methodology in the field [43], we first conducted pairwise meta-analyses and then NMA for data analysis. We conducted pairwise random-effect meta-analyses of comparing peri-discharge complex interventions with controls using Revman 5.3. We used pooled risk ratios (RRs) with 95% confidence intervals (CIs) to present dichotomous data. We used I2 values to indicate the level of heterogeneity, with I2 <25% as low level, 25–50% as moderate level, and >50% as high level [44].

We conducted a sensitivity analysis by only pooling RCTs with an overall low risk of bias on the primary outcome of 30-day all-cause readmissions. We also conducted a subgroup analysis on the primary outcome by stratifying RCTs based on different types of control interventions.

Network meta-analysis

NMA is a group of methods for visualizing and analyzing a wider picture of existing evidence, which allows assessment of comparative effectiveness among different interventions [45]. It generates indirect evidence (estimates between different interventions via common comparator) when direct evidence (head-to-head estimates of different interventions) is unavailable [46]. In this overview of SRs, the common peri-discharge complex intervention was served as a bridge to conduct NMA, so we could explore, relatively speaking, the most effective intervention package for the primary and secondary outcomes among all included interventions [47].

NMA was conducted using STATA version 14.0 [45]. Comparative effectiveness results of all possible pairs of comparisons were summarized with odds ratios (ORs) and associated 95% CIs [48] The surface under the cumulative ranking curve (SUCRA) was used to provide an effectiveness hierarchy ranking [49]. The probability that an intervention being the most effective option, the second-best option, and so on was deduced, comparatively [49]. The larger the SUCRA, the higher effectiveness ranking the intervention would have.

Consistency of direct and indirect evidence on the same comparison is a key assumption of NMA [49, 50]. The amount of inconsistency was measured by the inconsistency factor, which refers to the absolute mean difference between direct and indirect comparisons within a loop [51]. We used the separating indirect from direct evidence (SIDE) approach to calculate inconsistency factors, associated p values and 95% CIs [51]. When the p-values of inconsistency factors are smaller than 0.05, statistically significant inconsistency is detected [51]. In this case, quality of evidence would be rated down one or two levels for serious or very serious inconsistency, respectively in accordance to the GRADE methodology [41].

Optimal interpretation of NMA results requires considerations on the effect estimates as well as quality of evidence beyond ranking. To ensure appropriate interpretation, we applied an established minimally contextualized framework to facilitate simultaneous consideration of these aspects [52]. In this framework, effectiveness of peri-discharge complex interventions was categorized based on the network estimates, their associated quality of evidence, and SUCRA results. As a first step, we classified these interventions into two groups based on network estimates as follows:

  1. Group 1: interventions which are not different from usual care.

  2. Group 2: interventions which are superior to at least one intervention in Group 1.

Secondly, in each group, we further divided these interventions into two categories based on certainty of evidence: i) high certainty category containing interventions supported by moderate or high quality of evidence; and ii) low certainty category containing interventions supported by low or very low quality of evidence. Finally, we checked consistency between the network estimates among all possible pairs of comparisons and SUCRA rankings, so as to finalize the classification of all interventions.

Results

Results on literature search and selection

A total of nine SRs were identified and considered to be eligible (Appendix 5a). These nine SRs synthesized 76 primary studies, of which 71 were excluded due to the following: being duplicates (n = 13); no intervention for reducing readmission evaluated, or no data on 30-day readmission rate reported (n = 52); not RCTs (n = 4); written in languages other than English/Chinese (n = 2). The additional literature search identified six RCTs that were considered eligible (Appendix 4). Therefore, a total of 11 RCTs were included (Appendix 5b). Details of the literature search and selection process are presented in Figure 1.

Figure 1

Flowchart of literature search and selection for systematic reviews and randomized controlled trials.

Keys: SRs: systematic reviews; RCTs: randomized controlled trials.

Characteristics of included RCTs

Participants

Characteristics of the included RCTs are presented in Table 2. They included a total of 1,422 COPD patients, with sample sizes varying from 30 to 253. The mean age range was 64.4 to 75.3 years.

Table 2

Main characteristics of included randomized controlled trials (RCTs) (n = 11).

FIRST AUTHOR, YEAR OF PUBLICATIONCOUNTRYFOLLOW-UP PERIOD OF THE STUDYINTERVENTIONS/COMPARATORSNO. OF PATIENTS IN THE GROUP (A/R)AGE RANGE/MEAN ± SD (YEARS)GENDER N (% MALE)PRIMARY OUTCOME: 30-DAY ALL-CAUSE READMISSIONS: NO. OF EVENTS (%)SECONDARY OUTCOME: 30-DAY COPD-RELATED READMISSIONS: NO. OF EVENTS (%)SECONDARY OUTCOME: 30-DAY MORTALITY: NO. OF EVENTS (%)SECONDARY OUTCOME: 3-MONTH ALL-CAUSE READMISSIONS: NO. OF EVENTS (%)SECONDARY OUTCOME: 6-MONTH ALL-CAUSE READMISSIONS: NO. OF EVENTS (%)
Benzo 2016USASept 2010–Aug 2014Discharge rehabilitation108/10867.9 ± 9.846(42.6)5(4.6)2(1.9)NR15(13.9)28(25.9)
Usual care107/10768.1 ± 9.251(47.7)12(11.2)10(9.4)NR27(25.2)40(37.4)
Cotton 2000UKNREarly discharge intervention41/4165.7 ± 1.619(46.3)6(14.6)NRNRNRNR
Usual care40/4968.0 ± 1.216(32.7)6(12.2)NRNRNRNR
Eaton 2009New ZealandJun 2005–Oct 2006Discharge rehabilitation47/4770.1 ± 10.321(44.7)NR3(6.4)NR11(23.4)NR
Discharge education50/5069.7 ± 9.421(42.0)NR4(8.0)NR16(32.0)NR
Hornikx 2015BelgiumApr 2013–Apr 2014Home based telemedicine12/1566 ± 78 (53.3)4(26.7)NRNRNRNR
Rehabilitation education15/1568 ± 69 (60.0)6(40.0)NRNRNRNR
Jabkobsen 2015DenmarkJun 2010– Dec 2011Home based telemedicine29/29NR11 (37.9)8(27.6)NRNR10(34.5)13(44.8)
Usual care28/28NR11 (39.3)6(21.4)NRNR11(39.3)14(50.0)
Jennings 2014USAFeb 2010–Apr 2013Discharge coordinator intervention93/9364.9 ± 10.940(43.4)18(19.4)NRNRNRNR
Discharge education79/7964.4 ± 10.537(46.8)18(22.8)NRNRNRNR
Johnson 2016UKJan 2013–Sep 2014Supported self-management program35/3967.6 ± 8.515(38.5)NR5(12.8)NR12(30.8)NR
Follow up appointment36/3968.3 ± 7.713(33.3)NR10(25.6)NR13(33.3)NR
Kwok 2004Hong KongMar 1999– Aug 2000Supported self-management program70/7775.3 ± 7.056(72.7)33(42.9)NRNRNR53(68.8)
Follow up appointment79/8074.2 ± 5.755(68.8)29(36.3)NRNRNR49(61.3)
Lainscak 2013SloveniaNov 2009–Dec 2011Discharge coordinator intervention118/11871 ± 981(68.6)7(5.9)3(2.5)1(0.8)25(21.2)37(31.4)
Rehabilitation education135/13571 ± 9101(74.8)8(5.9)8(5.9)6(4.4)39(28.9)60(44.4)
Lavesen 2016DenmarkDec 2010–May 2012Early discharge intervention101/11969.7 ± 10.346 (38.7)25(21)NR2(1.7)NRNR
Usual care77/9470.9 ± 9.837 (39.4)22(23.4)NR3(3.2)NRNR
Wong 2005Hong KongNRSupported self-management program30/3072.8 ± 8.327(90.0)5(16.7)NRNRNRNR
Usual care30/3074.4 ± 7.420(66.7)8(26.7)NRNRNRNR

[i] Notes: A: number of patients analysed; R: number of patients randomized; SD: standard deviation; NR: not reported. COPD: Chronic Obstructive Pulmonary Disease.

Usual care is defined as routine care provided by the hospital.

Interventions

There were five peri-discharge complex interventions evaluated in the intervention group: discharge coordinator intervention (n = 2), discharge rehabilitation (n = 2), early discharge intervention (n = 2), home based telemedicine (n = 2), and supported self-management program (n = 3). Components of each peri-discharge complex intervention and their definitions are presented in Table 3 and Appendix 3.

Table 3

Components of peri-discharge complex interventions evaluated in included randomized controlled trials (RCTs).

PERI-DISCHARGE COMPLEX INTERVENTIONSRCTSCOMMON COMPONENTSCACMDPFSPCPEPIRISMTETM
Discharge coordinator interventionJennings 2014CA+PE+PI+TE10000110010
Lainscak 2013CA+PE+PI+TE10000110010
Discharge educationaEaton 2009PE+SM00000100100
Jennings 2014PE+SM00000100100
Discharge rehabilitationBenzo 2016DP+PC+RI+SM00101001100
Eaton 2009DP+PC+RI+SM00101001100
Early discharge interventionCotton 2000CM+DP+TE01100000010
Lavesen 2016CM+DP+TE01100000010
Follow up appointmentbJohnson 2016FS+PC00011000000
Kwok 2004FS+PC00011000000
Home based telemedicineHornikx 2015SM+TM00000000101
Jabkobsen 2015SM+TM00000000101
Rehabilitation educationcHornikx 2015PE+RI00000101000
Lainscak 2013PE+RI00000101000
Supported self-management programJohnson 2016PE+PI+SM+TE00000110110
Kwok 2004PE+PI+SM+TE00000110110
Wong 2005PE+PI+SM+TE00000110110

[i] Notes: CA: Case Management; CM: Timely Primary Care Provider Communication; DP: Discharge planning; FS: Follow-Up Scheduled; PC: Provider Continuity; PE: Patient Education; PI: Patient Centred Discharge Instructions; RI: Rehab Intervention; SM: Self-Management; TE: Telephone follow up; TM: Telemonitoring.

*: Value of “0” means that the component (column) was not presented in the complex intervention package.

†: Value of “1” means that the component (column) was presented in the complex intervention package.

a: Discharge education is the control intervention of Eaton 2009 and Jennings 2014.

b: Follow up appointment is the control intervention of Johnson 2016 and Kwok 2004.

c: Rehabilitation education is the control intervention of Hornikx 2015 and Lainscak 2013.

Definition for each component could be found in Appendix 3.

Controls

Different peri-discharge complex interventions were evaluated as controls among the included studies: discharge education (n = 2), follow up appointment (n = 2), rehabilitation education (n = 2). Components of peri-discharge complex interventions serving as controls are presented in Table 3. The remaining five studies reported the use of usual care as control, which was defined as routine care provided by the hospital. Detailed contents of usual care were not mentioned in these five studies.

Methodological quality of included SRs and risk of bias among included RCTs

Amongst the nine included SRs, methodological quality of six SRs was moderate (66.7%). Two (22.2%) were appraised as low, and one (11.1%) as critically low (Appendix 6). For the 11 included RCTs, we judged the overall risk of bias of four (36.4%) RCTs as low, one (9.1%) as high, and the remaining six (54.5%) as having some concerns (Appendix 7a). Detailed results of the risk of bias assessment on each domain are presented in Appendix 7b.

Results of pairwise meta-analyses

For the reduction of 30-day all-cause readmissions, there was no significant difference between peri-discharge complex interventions and controls from pairwise meta-analyses (pooled RR = 0.95, 95% CI: 0.76–1.19, I2 = 0%, 9 RCTs) (Appendix 8a). The overall quality of evidence was high (Table 4).

Table 4

Effect estimates and quality of evidence ratings for comparisons of pier-discharge complex interventions in pairwise meta-analyses sensitivity, and subgroup analysis.

OUTCOMESSTUDY DESIGN/PARTICIPANTSRISK OF BIASINCONSISTENCYINDIRECTNESSIMPRECISIONPUBLICATION BIASPOOLED RR (95% CI)QUALITY
30-day all-cause readmissionsNine RCTs/1247 participantsNo seriousaNo serious inconsistencyNo serious indirectnessNo serious imprecisionN/A0.95(0.76,1.19)⨁⨁⨁⨁
High
30-day COPD-related readmissionsFour RCTs/643 participantsNo seriousNo serious inconsistencyNo serious indirectnessNo seriousN/A0.45(0.24,0.84)⨁⨁⨁⨁
High
30-day mortalityTwo RCTs/466 participantsNo seriousNo serious inconsistencyNo serious indirectnessSerious imprecisionbN/A0.35(0.09,1.34)⨁⨁⨁◯
Moderate
3-month all-cause readmissionsFive RCTs/700 participantsNo seriousNo serious inconsistencyNo serious indirectnessNo seriousN/A0.74(0.57,0.95)⨁⨁⨁⨁
High
6-month all-cause readmissionsFour RCTs/682 participantsNo seriousSerious inconsistencycNo serious indirectnessNo seriousN/A0.85(0.64,1.14)⨁⨁⨁◯
Moderate
30-day all-cause readmissions (Sensitivity analysis focusing on RCTs with low risk of bias)Three RCTs/444 participantsNo seriousNo serious inconsistencyNo serious indirectnessSerious imprecisionbN/A0.80(0.47,1.38)⨁⨁⨁◯
Moderate
30-day all-cause readmissions
(in subgroup 1: rehabilitation education as control interventions)
Two RCTs/283 participantsNo seriousNo serious inconsistencydNo serious indirectnessVery serious imprecisioneN/A0.83(0.40,1.69)⨁⨁◯◯
Low
30-day all-cause readmissions
(in subgroup 2: usual care as control interventions)
Five RCTs/918 participantsNo seriousaNo serious inconsistencydNo serious indirectnessNo seriousN/A0.85(0.60,1.21)⨁⨁⨁⨁
High

[i] GRADE Working Group grades of evidence.

High quality: We are very confident that the true effect lies close to that of the estimate of the effect.

Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.

Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.

Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

Abbreviations: CI, confidence interval; NA: Not applicable; COPD: chronic obstructive pulmonary disease; RCT: Randomized control trial; RR: risk ratio.

a: Most information is from studies at low risk of bias or some concerns. Plausible bias is unlikely to seriously alter the results.

b: The quality of evidence is downgraded one level for serious imprecision because the 95% CI overlaps the RR of 1.0 but includes important benefit or important harm (RR estimates below 0.5 and above 2.0 are considered clinically important).

c: The quality of evidence is downgraded one level for serious inconsistency. Statistical test from pairwise meta-analysis suggests substantial heterogeneity with an I2 value of 63%.

d: The quality of evidence for subgroup analysis is not downgraded for inconsistency as there is little variability in results between studies and no suggestion of a subgroup effect.

e: The quality of evidence is downgraded two level for very serious imprecision because the 95% CI overlaps the RR of 1.0, but includes important benefit or important harm (RR estimates below 0.5 and above 2.0 are considered clinically important); and the small sample size (less than 200 per group) that may not sufficient to ensure prognostic balance.

N/A: Not applicable for publication bias because of less than 10 individual studies.

For secondary outcomes, peri-discharge complex interventions were significantly more effective than controls in reducing 30-day COPD-related readmissions (pooled RR = 0.45, 95% CI: 0.24–0.84, I2 = 0%, 4 RCTs) (Appendix 8b), and 3-month all-cause readmissions (pooled RR = 0.74, 95% CI: 0.57–0.95, I2 = 0%, 5 RCTs) (Appendix 8c), as supported by high quality evidence (Table 4). For other secondary outcomes, moderate quality evidence showed that there was no significant difference between peri-discharge complex interventions and controls in reducing 6-month all-cause readmissions (pooled RR = 0.85, 95% CI: 0.64–1.14, I2 = 63%, 4 RCTs) (Appendix 8d, Table 4), and 30-day mortality (pooled RR = 0.35, 95% CI: 0.09–1.34, I2 = 0%, 2 RCTs) (Appendix 9, Table 4).

Sensitivity and subgroup analysis results

Results of sensitivity analysis focusing on three RCTs with low risk of bias showed no significant difference between peri-discharge complex interventions and controls for reducing 30-day all-cause readmissions (pooled RR = 0.80, 95% CI: 0.47–1.38, I2 = 27%, 3 RCTs, moderate quality of evidence). Results are presented in Appendix 10 and Table 4.

Results of subgroup analysis based on different comparisons in the control groups were presented in Appendix 11. There was no significance difference in the following subgroups comparisons for reducing 30-day all-cause readmissions: i) peri-discharge complex interventions vs. rehabilitation education (pooled RR = 0.83, 95% CI: 0.40–1.69, I2 = 0%, 2 RCTs, low quality of evidence); ii) peri-discharge complex interventions vs. usual care (pooled RR = 0.85, 95% CI: 0.60–1.21, I2 = 0%, 5 RCTs, high quality of evidence). Quality of evidence ratings for subgroup analysis are also presented in Table 4.

Results of NMA

For the primary outcome of reducing 30-day all-cause readmissions, the network included nine two-arm trials (Figure 2). Size of nodes indicated that usual care was the most common comparator across the included studies. NMA results showed no significant difference among these eight different peri-discharge complex interventions and usual care (Appendix 12).

Figure 2

Network plot of comparisons among 8 different peri-discharge complex interventions and usual care in the network meta-analysis for reducing 30-day all-cause readmissions among COPD patients.

Notes: Peri-discharge complex interventions and usual care are described in Table 1 and 2. Nodes represent theinterventions, node sizes correspond to the number of studies involved, lines connecting nodes represent direct comparisons between pairs of interventions. Width of the lines represents the proportion of the number of trials for each comparison as compared to total number of trials. Line colour indicates different overall risk of bias levels, with red referring to high risk of bias, green referring to low risk of bias, and black referring to some concerns.

Using the minimally contextualized framework, all peri-discharge complex interventions were classified into Group 1 based on the network estimates. Their associated quality of evidence and SUCRA results are reported in Appendix 13–14. In Group 1, high certainty of evidence suggested that discharge rehabilitation was not different from usual care, while low certainty of evidence indicated that the remaining seven peri-discharge complex interventions might not differ from usual care (Appendix 15). Results on inconsistency evaluation using the SIDE approach were shown in Appendix 16. As the difference between direct and indirect estimates for each comparison was statistically insignificant, it can be considered that there is no significant inconsistency in this network.

For all secondary outcomes, peri-discharge complex interventions of the included studies did not share a common comparator, hence we could not conduct NMA and evaluate their comparative effectiveness.

Discussion

Summary of findings

In this overview of SRs, pairwise meta-analyses showed that there was no significant difference between peri-discharge complex interventions and controls on reducing 30-day all-cause readmissions, 30-day mortality, and 6-month all-cause readmissions among COPD patients. Peri-discharge complex interventions were significantly more effective than controls in reducing 30-day COPD-related readmissions and 3-month all-cause readmissions. As shown in the NMA for 30-day all-cause readmissions, there was no significant difference among the eight peri-discharge complex interventions and usual care. The final classification of complex interventions indicated that discharge rehabilitation was not different from usual care with high certainty of evidence, while the remaining seven peri-discharge complex interventions might be no different from usual care with low certainty of evidence.

Implications for practice

For the primary outcome of reducing 30-day all-cause readmissions, low certainty of evidence indicated that most complex interventions might be no different from usual care. Nevertheless, our pairwise meta-analysis showed that peri-discharge complex interventions were significantly more effective than controls on reducing 30-day COPD-related readmissions, as supported by high quality evidence. Indeed, COPD-related readmissions accounted for majority of the hospital readmissions within 30 days among COPD patients [53]. Therefore, it can be hypothesized that a reduction in 30-day COPD-related readmissions would potentially relieve the burden of 30-day all-cause readmissions as well, but this claim would require further confirmation.

These effective peri-discharge complex interventions included discharge rehabilitation, supported self-management program, and discharge coordinator intervention. There are several common components among these three peri-discharge complex interventions, namely patient education, self-management, patient-centred discharge instructions, and telephone follow up. These four components might be the core effective elements that play a significant role in contributing to the reduction of 30-day COPD-related readmission. However, potential effectiveness of this four-component package (peri-discharge complex interventions comprising patient education, self-management, patient-centred discharge instructions, and telephone follow up, abbreviated as Four component peri-discharge complex interventions hereafter) is likely to be context-sensitive. The decision of implementing such interventions in different health system contexts requires careful deliberations. In the following discussion, we consider selected criteria listed in GRADE Evidence to Decision (EtD) framework [54], which may facilitate the decision-making process.

Benefits of implementing the Four component peri-discharge complex interventions: patients’ perspective

As a chronic, long-term, and complex illness with multiple systemic effects and co-morbidities, COPD requires a multi-disciplinary and multi-modality approach for optimal management. As suggested by COPD patients, patient education could improve their overall satisfaction with healthcare providers [55], while self-management was an effective way to improve their lifestyle and health behaviour, thereby enhancing their health [56]. With increasing number of COPD patients in the population, self-management was found to be more cost-saving than usual care from the public health system’s perspective [57]. Since symptoms of COPD change frequently due to disease progression [58], patient-centred discharge instructions in the form of a written plan may support patients in responding to their changing symptoms and making appropriate decisions regarding their self-management [59]. On the other hand, telephone follow up by a hospital-based health professional after patient discharge is an effective approach for exchanging information, providing health education, and providing reassurance to patients after discharge [60]. An RCT showed that telephone follow up was effective in enhancing COPD patients’ self-efficacy in managing dyspnea [61]. The synergistic effect of patient education, self-management, patient-centred discharge instructions, and telephone follow up might potentially magnify the individual components effects, since each of them has different mechanisms in improving COPD management.

Acceptability of the Four component peri-discharge complex interventions

Patient education and self-management are widely accepted by both COPD patients and health professionals. Patients were eager to learn more information about the disease and the self-management approaches [62]. Evaluation of a program comprising of patient education and self-management showed that COPD patients had more confidence in managing their illness after completing the program [63]. These two components have been endorsed in existing guidelines such as the American College of Chest Physicians and Canadian Thoracic Society Guideline, joint American College of Chest Physicians and the American Association of Cardiovascular and Pulmonary Rehabilitation (joint ACCP/AACVPR) evidence-based clinical practice guidelines, and American Thoracic Society/European Respiratory Society statement [64, 65, 66, 67]. Nurses and allied health professionals also showed positive attitudes towards COPD self-management, as it allowed them to manage time and other resources more effectively when compared to usual care provision [68]. Furthermore, a two-round Delphi study conducted in Canada demonstrated that physicians, nurses, and patients have established consensus on including patient-centred discharge instruction as a key component in the discharge care package for COPD patients, to ensure a smooth hospital to community transition, and to reduce risk of disease recurrence and readmission [69]. Telephone follow up was also acceptable to patients, as it is regarded to be much more convenient than face-to-face appointments [70].

Feasibility of implementing the Four component peri-discharge complex interventions

Despite positive views on benefits and acceptability described above, the implementation of the Four component peri-discharge complex interventions could be challenging. Potential barriers towards adopting self-management among COPD patients may include feeling of fear towards increased incidence of exacerbation; perceived lack of capacity to manage exacerbation; and insufficient knowledge on the consequences of inadequate treatment [71, 72, 73]. To address these barriers, developing tailored educational packages for patients may be an efficient way for empowering COPD patients [74] in improving capacity in self-management. At health professionals’ level, practical constraints, such as inflexible health care infrastructures, excessive workload, and the priority of other duties were considered to reduce their support on the implementation of the Four component peri-discharge complex interventions among COPD patients [68, 75, 76]. These barriers need to be carefully considered prior to implementing the interventions. A clear division of labour and more allocation of resources to health professionals could facilitate their participation in the implementation process.

Linkage with integrated care models

There are several existing models of integrated care [77], including but not limited to Model 1: customized integration and disease management model, which describes tailored-made care integration around disease or individuals; Model 2: co-location of care model, which describes joint-venture collaborations relying on co-location of healthcare professionals to achieve coordination of care; Model 3: IT-integrated health care model, which describes the integration relying on information technology approaches; and Model 4: patient integrated health care model, which described integration by engaging patients to coordinate their health information and serve as their own health gatekeeper.

Peri-discharge complex interventions synthesized in this systematic review have more focus on Models 1, 3 and 4. For example, home based telemedicine for COPD patients would feature elements from both IT-integrated health care model and patient integrated health care model. This is because this intervention component involves online monitoring of COPD patients’ physiological data, and such data is used to devise individualized education to patients for enhancing self-care. Further information on different peri-discharge complex interventions components is presented in Table 3.

Implications for research

The GRADE-ADOLOPMENT approach provides an explicit framework for guiding localized recommendation development process [54]. Future research might invite key stakeholders and conduct a Delphi survey based on the GRADE-ADOLOPMENT framework for achieving consensus on whether the Four component peri-discharge complex interventions or usual care should be tailored to address the needs of local health system [54]. In this process, stakeholders can make their decisions by considering problem priority, benefits, harms, equity, acceptability, and feasibility.

Our study showed that most complex interventions might be no different from usual care in reducing 30-day all-cause readmissions, but this conclusion is only supported by low certainty evidence. More trials might therefore be conducted in the future to strengthen the evidence base in this field. However, as a complex intervention, evaluating the effectiveness of peri-discharge complex interventions is known to be challenging [78]. The first challenge is the lack of standardization on the content and fidelity of the peri-discharge complex interventions. Service delivery in different health systems would vary in terms of intensity, frequency as well as combinations of different components, depending on resources available. On the other hand, it is likely that features of the complex interventions would be tailored to patients’ stages of disease, health and social care needs, as well as preferences. The second challenge is inadequate resources allocated for proper evaluation of the peri-discharge complex interventions, which often requires advanced or mixed methods research. Front-line professionals may face time and resources constraints if they are involved in the implementation and evaluation process on top of delivering routine care. The third challenge is to recruit patients who are willing to enrol in trials of different peri-discharge complex interventions as they often expect the best available care when they are in need. Lastly, policy makers may find evaluation of complex intervention too difficult and expensive, which hinder funding support on such trials.

Strengths and limitations

Strengths of this overview included a comprehensive electronic literature search to identify eligible SRs with an updated search for RCTs; independent literature selection and data extraction; methodological quality and risk of bias assessment conducted independently by two reviewers; application of NMA for comparing three or more interventions simultaneously in a single analysis via the common comparator; and use of GRADE approach for assessing the quality of evidence. Sensitivity analysis focusing only on RCTs with low risk of bias was also conducted, yielding results similar to the primary meta-analysis. This supports the robustness of our findings.

Our findings also have several limitations. Firstly, quality of evidence varied from moderate to low across comparisons in NMA of reducing 30-day all-cause readmissions. Imprecision was the main reason for downgrading the NMA effect estimate. Secondly, with a small number of included RCTs, there was a lack of direct comparisons between many peri-discharge complex interventions, thereby weakening the comprehensiveness of comparisons. As the Four component peri-discharge complex interventions might be the core effective interventions in reducing 30-day COPD-related readmissions, more RCTs may be conducted to investigate the comparative effectiveness between the Four component peri-discharge complex interventions and well-specified usual care. Lastly, content of usual care as well as individual intervention components may vary according to local practices in different health system contexts. Unclear reporting of intervention content may limit interpretation of our findings. Researchers conducting future RCTs should fully describe usual care and intervention components following the TIDieR guideline [79].

Conclusion

Peri-discharge complex interventions may not differ from usual care for reducing 30-day all-cause readmissions among COPD patients. Yet, the major cause of 30-day readmissions among these patients is COPD-related. The Four component peri-discharge complex interventions, which comprise patient education, self-management, patient-centred discharge instructions, and telephone follow up, seems to be key components in reducing 30-day COPD-related readmissions. This beneficial effect may help to reduce a substantial proportion of readmission. Prior to implementing the Four component peri-discharge complex interventions, policymakers from different health system contexts should consider carefully the aspects of problem priority, benefits, harms, equity, acceptability, and feasibility.

Additional File

The additional file for this article can be found as follows:

Appendices

Acknowledgements

We would like to express our gratitude to Dr. Marie Lavesen and Dr. Steen Ladelund for sharing valuable data on 30-day readmissions with us.

Reviewers

Kam Wa CHAN, Department of Medicine, The University of Hong Kong.

One anonymous reviewer.

Competing Interests

The authors have no competing interests to declare.

DOI: https://doi.org/10.5334/ijic.6018 | Journal eISSN: 1568-4156
Language: English
Submitted on: Jul 23, 2021
Accepted on: Jan 27, 2022
Published on: Feb 3, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Claire C. W. Zhong, Charlene H. L. Wong, William K. W. Cheung, Eng-kiong Yeoh, Chi Tim Hung, Benjamin H. K. Yip, Eliza L. Y. Wong, Samuel Y. S. Wong, Vincent C. H. Chung, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.