Measuring Omnichannel Health Communication through Reach Overlap and Journey Completion

1Introduction

A health communication programme might use online information, telephone contact, clinics, community organisations and entertainment content. The presence of several channels describes a portfolio. Coordination describes how a person moves between those channels without losing the information or support needed for the next step. These are different intervention features and should produce different measures [1–16].

This paper focuses on the measurement of coordination. Its unit is a person or household completing a defined service journey, with channel events recorded as intermediate observations. The framework separates additional reach, repeated exposure, channel-appropriate content and journey continuity. It treats each as a distinct claim, rather than assuming a positive result on one demonstrates the others.

Home health referral provides an application because the end of an information exchange differs from the receipt of a visit. The framework also applies to other services if the endpoint, eligibility definition and participating organisations are specified. It does not propose a universal score for all channels or a method for awarding causal credit to each recorded touchpoint [17–23].

2Research method

2.1Evaluation question and source selection

This paper addresses the following question. Does coordinating a fixed channel portfolio improve a defined journey, rather than merely increase recorded contacts?

The analysis draws on selected conceptual, measurement and empirical literature published no later than 2021. Sources are used according to their intervention, setting and outcome. Conceptual sources inform definitions and proposed relationships. Empirical studies inform the problem or an adjacent mechanism, with their findings kept within the evaluated intervention and population. The synthesis is interpretive and does not follow a registered systematic review protocol or provide an exhaustive study census [24–28].

The analytical procedure separates the target construct, the observation used to represent it and the claim supported by that observation. The resulting framework specifies process records, outcome boundaries and a prospective evaluation question. Design recommendations are identified as proposals. No participant dataset, new clinical results or validated composite score is reported, and no pooled effect is estimated from unlike interventions [7, 29–39].

The synthesis proceeds through three steps: define the communication or service task, identify the observation supported by each relevant source, and specify a comparison which would test the proposed relationship. Table 1 records construct boundaries; Table 2 operationalises a study or audit. Numerical illustrations demonstrate definitions and accounting only. They are not empirical results [40, 41].

2.2Evidence integration and applicability

Programme logic models and participatory evaluation connect activities with stated objectives and indicators [1, 42]. Behavioural intervention theory connects message design with determinants of action [43]. Campaign meta-analysis supplies evidence about evaluated campaigns, without isolating an effect attributable to channel coordination [44, 45]. Consequently, channel volume should be reported as delivery, while the proposed coordination effect requires a separate comparison [46–56].

Audience segmentation and entertainment persuasion provide reasons to adapt content to the audience and delivery context [57–59]. They do not establish a rule under which more exposures necessarily produce more action. A programme should specify which exposure is expected to inform, reinforce or support a decision and retain the corresponding outcome measures [60].

Digital access conditions affect who appears in channel records. Grossman et al [61]. review interventions to increase portal use in vulnerable populations. Okoye et al [62]. examine neighbourhood broadband and telehealth use among older adults. These sources concern digital participation, not completion of a coordinated outreach journey. Their relevance is to the opportunity to use a channel and the interpretation of comparisons between its users and nonusers [61, 64–85].

Li et al [2]. study receipt of home health after discharge referral, providing an endpoint beyond exposure. Balaban et al [87]. test patient navigation using readmission and follow-up outcomes; this is adjacent evidence rather than a channel-coordination trial. Community partnership and engagement frameworks describe participation and collaboration [88, 89]. RE-AIM, implementation outcome distinctions and implementation context frameworks support reporting reach, process and context separately [82, 86, 87, 90–119, 246, 249].

The channel portfolio should be assessed against the tasks demanded of its audience. Norman and Skinner [120] describe eHealth literacy as encompassing several skills needed to work with electronic health information. The proposed journey assessment therefore distinguishes finding information from appraising the information and completing a service request. Each step needs its own observation.

Kreps and Sparks [121] discuss health literacy needs in immigrant populations. Sheridan et al [122]. review interventions for low health literacy. These sources support attention to language and comprehension when specifying an assisted channel. Neither establishes the incremental effect of combining channels. That effect remains the subject of the proposed comparison [121–125].

Scott et al [126]. synthesize reviews of community health worker programmes. Their work provides a broader service context for a community channel, rather than a universal conversion rate. In this framework, community assistance is recorded through its assigned task and completed handoff. The evaluation should retain the specific workforce arrangement instead of treating every community contact as an interchangeable exposure [127–131].

3Results and discussion

3.1Reach overlap and journey completion framework

Claim	Unit of analysis	Minimum measure	Main threat
Additional reach	Unique person	Deduplicated exposure across channels	Counting the same person repeatedly
Exposure reinforcement	Person over time	Sequence and dose of exposure	Confounding dose with motivation
Journey continuity	Defined handoff	Completed transitions per initiated transition	Mixing unrelated journeys
Equitable coverage	Eligible population stratum	Coverage and outcome by access characteristics	Excluding people unable to use digital channels

The specification in Table 1 is analytical: its entries are proposed distinctions rather than empirical ratings or validated instrument properties.

3.1.1Four claims requiring separate comparisons

Additional reach concerns people reached by the added channel who would otherwise remain unreached. Reinforcement concerns an outcome associated with repeated exposure to specified content. Channel-appropriate messaging concerns the fit between a message, its audience and its delivery context. Journey continuity concerns whether a handoff preserves the information and support needed to complete the next step. Figure 1 places the channels within this measurement sequence; Table 1 separates the claims and their interpretation limits [132].

The intervention should state which claim is primary. Adding a channel tests a different question from assigning responsibility for a handoff within an existing portfolio. Changing the portfolio, content, eligibility process and navigator staffing simultaneously produces a package comparison. Such a comparison is useful if described accurately, but it does not reveal the independent effect of coordination [133].

3.1.2Unique reach and overlap

For two channels, combined unique reach equals reach through the first plus reach through the second minus the number reached through both. In a hypothetical example, channel A reaches 120 people, channel B reaches 100 and 70 appear in both. Combined reach is 150, while summed channel reach is 220. The extra channel reaches 30 people beyond A. These numbers illustrate arithmetic only and are not programme findings [134].

The calculation requires a defensible linkage unit. A household receiving several messages should not become several households in the denominator. Shared devices, caregiver accounts and spelling differences complicate linkage. Where identity cannot be resolved, report channel counts and the uncertainty around combined reach. Platform impressions must not be labelled unique people, and unlinked contacts must not be silently dropped.

3.1.3Journey records and outcome denominators

A proposed event record includes the linkage key, channel, event type, date, responsible organisation and evidence source. Handoff events should identify both the sending and receiving stage. A transmitted request is distinct from acknowledged receipt. For the home health application, first visit completion is distinct from a scheduled visit and from referral acceptance. Retain unresolved cases and the reasons recorded for noncompletion [117, 135–150].

Report both the proportion completing the next step among people entering that step and the proportion reaching the final endpoint among the original target cohort. The first describes a local transition; the second describes journey completion. A high final-stage conversion among selected participants does not imply broad population coverage. Present the entry population alongside the outcome so the two questions remain visible.

3.1.4Coordination evaluation and protected access routes

A prospective comparison should keep the channel portfolio and eligibility definition stable while changing the handoff process. A cluster comparison across service units is one option where contamination prevents individual assignment. The primary estimand is the effect of offering the coordinated process, not the difference between people who voluntarily used one versus several channels. Record implementation, staffing and service capacity because these conditions affect the interpretation of the contrast [151–158].

A before-and-after report is descriptive unless its design supports control of time trends and concurrent changes. Path attribution, including first-touch or last-touch credit, describes an allocation rule; it does not establish the causal contribution of a channel. Equity review should also retain a route for people reached through only one channel. A route with low volume might provide access unavailable through the rest of the portfolio [159–161].

3.1.5Distinguishing coordination from changes in composition

The main analysis should identify the cohort at the point where the coordinated process is offered. Follow the same cohort through its journey, retaining nonuse and unresolved records. People entering through later channels should not be added to an earlier cohort denominator without an explicit rule. Otherwise, a programme could appear to improve continuity by changing who counts as an entrant.

Composition should be described through characteristics relevant to opportunity and the endpoint. These might include language, access to the channels, prior service contact and the practical ability to complete the next step. Collecting a larger set of characteristics is not automatically useful. Each variable should have a stated role in describing coverage, assessing comparison balance or examining a prespecified question [162].

Coordination fidelity concerns the connection between channels. Record whether the receiving contact had the necessary information, whether the person repeated the same information and whether assistance was available at the handoff. These measures address the proposed process. They remain separate from final outcomes and from the participant's assessment of convenience. A reliable transfer might still end without service because the receiving system lacks capacity [40, 163–189].

The timing of coordination matters for interpretation. If a person has already completed the action before receiving a reminder, the reminder should not receive descriptive credit for initiating that action. If the action record has no reliable timestamp, state the temporal uncertainty. Event order does not prove causation, but an implausible order invalidates a proposed explanation. Reconcile clock conventions and reporting delays across participating systems [190–196].

The reporting unit should also preserve repeated journeys. A household might contact the programme for two different service questions, and a patient might have several referral episodes. Aggregating them as one successful person hides the unresolved episode; counting them as unrelated people overstates reach. Use separate identifiers for the person or household and the defined journey, with a documented link between them.

A cost comparison should use the same cohort and endpoint for the alternatives. Development, staffing, partner coordination and tracking are part of the coordinated process. A programme with fewer contacts might have more completed journeys; another might provide essential access to a group unreached elsewhere. Report total cost, the relevant activity or outcome denominator and the distribution of access rather than selecting the unit-cost measure producing the most favourable ranking.

3.1.6A reproducible reach and continuity analysis

Coordination is best represented as a change in the probability of progressing between specified events, conditional on entry into a defined journey. This proposal differs from increasing the number of channels or the frequency of contact. A pathway should identify the next event for which coordination is responsible, such as an acknowledged request after an information enquiry. Implementation outcome distinctions and the RE-AIM framework support separating delivery and population reach from the endpoint [90, 91, 197].

Table 2 extends the two-channel illustration to three channels. Assume, solely for demonstration, that channels A, B and C reach 120, 100 and 80 people. Their pairwise overlaps are 70, 40 and 30, and 20 people appear in all three. Unique reach equals 120 + 100 + 80 - 70 - 40 - 30 + 20, or 180 people. Summing activity yields 300, an excess of 120 over unique reach. If the target population contains 300 people, population coverage is 60 percent. These values are hypothetical and demonstrate accounting rather than programme effectiveness.

Quantity	Illustrative value	Role in calculation
Channel A, B and C reach	120, 100 and 80	Total activity equals 300
Pairwise overlaps AB, AC, BC	70, 40 and 30	Subtract shared contacts once
Triple overlap ABC	20	Add back after pairwise subtraction
Unique people reached	180	Population coverage equals 180 divided by 300
Completed journeys	54	Target population completion equals 18 percent

Source: Author-developed analytical example. Numerical values, where shown, are hypothetical and do not represent study observations.

A coordination measure should then examine what happens after reach. If 90 of the 180 reached people submit an enquiry and 54 complete the defined journey, enquiry-to-completion is 60 percent, reached-to-completion is 30 percent, and target-population completion is 18 percent. All three rates use the same 54 completed journeys but answer different questions. Reporting only the first rate obscures the population absent from the enquiry stage. Reporting only the last rate obscures where assistance is lost.

A linkage audit should sample both matched and unmatched contacts. Reviewing only accepted matches finds some erroneous merges but leaves false splits and unlinked households largely unexplored. Repeated episodes should retain a journey identifier distinct from the person identifier. Where data-sharing arrangements prevent person-level linkage, the report should provide channel-specific activity and defensible bounds rather than manufacture a precise combined count. Digital access and literacy research explain why an unlinked or absent record is not evidence of low interest [62, 120, 166, 198–225, 245, 248].

The causal comparison concerns an offered coordination process. A service unit receiving the new process should remain in its assigned group even when staff fail to complete a handoff. Comparing completed multi-channel users with single-channel users conditions on behaviour after the offer and invites selection bias. Where assignment is unavailable, a controlled rollout should document baseline differences, concurrent changes and the assumptions supporting comparison. A visual improvement in a dashboard does not remove these requirements.

Two falsifiable propositions follow. A reliable handoff should reduce requests requiring repeated information without changing the underlying service facts. A clearer receiving responsibility should reduce unresolved status at the specified reporting point. Neither proposition guarantees additional visits where service capacity is fixed. Home health receipt research supplies an endpoint beyond contact, while community workforce reviews inform the assistance context [2, 126]. The framework therefore supports a process test followed by a service-outcome comparison, with cost and excluded populations reported alongside both [63, 226–234].

Health communication increasingly takes place across multiple channels, and the language used to describe this has shifted from multichannel to omnichannel to capture a greater ambition. A multichannel programme operates several channels independently, each with its own audience, content and measures. An omnichannel programme seeks to coordinate those channels so that a person encounters consistent information and can move between them without loss of context or progress. The distinction matters because coordination is far more demanding than coexistence. It requires shared content standards, linked data, agreed definitions of success and a willingness to manage channels as parts of a system rather than as separate campaigns. Where coordination is attempted but the measurement framework remains channel-specific, the programme may believe it is operating omnichannel while its data continue to describe a set of disconnected activities. The result is a familiar pattern in which activity totals rise across every channel while the programme's contribution to the intended outcome remains unmeasured and unclear.

Reach is the most widely reported communication metric and the most frequently misunderstood. Reach describes the number of people exposed to a message, but when several channels are used, the sum of their individual reach counts the same person multiple times if they encounter more than one channel. The resulting figure, sometimes called gross reach, can greatly exceed the number of distinct people the programme has actually touched. Net reach, by contrast, describes the number of unique individuals reached by any channel. The difference between the two is the overlap, and its magnitude determines whether additional channels are expanding the audience or re-contacting people already engaged. A programme with high channel diversity and high overlap may be investing substantially in repetition rather than expansion, which is not necessarily wrong but should be a deliberate choice rather than an unnoticed consequence. Measuring overlap requires either linked data across channels or statistical methods that estimate uniqueness from marginal reach figures, and the choice of method should be documented because it affects the conclusions drawn.

Journey completion introduces a second dimension that reach alone cannot capture. A programme may reach a large audience and yet move very few of them toward the action it recommends, or it may reach fewer people and move most of them successfully. Journey completion describes the proportion of the intended population that progresses through a defined sequence of steps toward a completed outcome. Defining that sequence requires the programme to state what counts as a step, where the journey begins and ends, and what evidence demonstrates completion. These choices are consequential because they determine which channels appear effective. A channel that contributes to early awareness may look unimportant if only the final step is measured, while a channel that happens to appear immediately before completion may receive credit for progress that relied on earlier stages. Specifying the journey in advance, and recording progress at each step, allows a programme to observe where people disengage rather than merely whether the overall rate is satisfactory.

Attribution is the mechanism by which contributions are assigned to channels, and it is as much a matter of policy as of technique. Where a journey passes through several touchpoints, the final channel before an action often receives credit that properly belongs to earlier stages, a tendency that rewards channels closest to conversion and disadvantages those that build awareness or trust. Alternative rules, such as giving equal credit to all touchpoints or weighting them by position or influence, distribute credit differently and can change which channels appear worth funding. There is no universally correct rule; the appropriate choice depends on the decision the measurement is meant to inform. A programme seeking to optimise a defined conversion may reasonably weight later touchpoints heavily, while a programme seeking to build durable awareness may prefer a rule that recognises the contribution of early contact. The essential requirement is that the rule be declared in advance and applied consistently, so that comparisons across programmes and periods remain meaningful and so that the results can be interpreted by those who must act on them.

Measuring omnichannel performance requires infrastructure as well as method. Linking data across channels entails collecting identifiers, matching records and resolving conflicts, all of which raise questions about privacy, consent and the permissible uses of personal data. Where linkage is incomplete, some channels contribute observed data while others contribute only estimates, and the resulting picture is partial in ways that must be reported if conclusions are to be trustworthy. Assigning a single individual to multiple exposures also requires decisions about how to treat shared devices, household use and unauthenticated access, each of which can inflate or deflate apparent reach. Programmes should document which channels are linked, which are estimated and which are excluded, and they should distinguish assigned delivery from reported consumption. They should also distinguish unique reach from repeated exposure, since repetition may reinforce a message or may simply reflect re-contact with the same engaged people. These distinctions increase the credibility of omnichannel evaluation and reduce the risk that technical limitations are hidden behind confident-sounding aggregate figures.

Equity is an unavoidable consideration in omnichannel health communication because channel mix determines who is reached. Digital channels offer scale and efficiency, but their reach is uneven, reflecting differences in connectivity, device access, digital literacy and language. Programmes that shift heavily toward digital channels may achieve impressive aggregate reach while systematically missing the populations with the greatest unmet need, a pattern that is easy to overlook when results are reported in total. Measuring reach and journey completion by population segment exposes these disparities and allows a programme to adjust its channel mix, its message design and its supporting access routes. It also allows a programme to distinguish between a channel that is genuinely more effective and one that merely serves an already-engaged population more conveniently. Combining overlap analysis with segment-level reporting makes it possible to see whether expansion is reaching new people and whether progress is occurring across the whole intended population rather than concentrated among those already well served.

Finally, omnichannel measurement should be understood as a capability that develops over time rather than a technique applied once. Data quality improves as linkable systems mature, definitions stabilise as programmes learn what they need to observe, and attribution conventions become more meaningful as results accumulate. A programme that begins with a modest set of linked measures and expands them as infrastructure allows will produce more useful evidence than one that attempts a comprehensive system immediately and abandons it when data prove incomplete. This incremental approach also allows the programme to test its assumptions about which channels contribute to which stages, and to revise its plans in light of what it learns. Since the relationship between channels and outcomes is rarely static, repeated measurement is essential; a channel that was effective at one stage of a programme's development may be less effective later, and a channel that underperformed initially may improve as its audience and content mature. Treating measurement as an ongoing practice, rather than a one-off audit, aligns omnichannel evaluation with the reality that communication systems evolve.

The shift from multichannel to omnichannel practice has been driven partly by technology and partly by recognition that audiences do not experience communication channels in isolation. A person who sees a message on social media, discusses it with a community worker and later visits a clinic is moving through a single experience even though the programme may record these as three separate contacts. Omnichannel coordination attempts to honour that experience by ensuring consistency, continuity and mutual reinforcement across channels. Achieving it requires more than a shared logo and message; it requires shared definitions of the intended journey, linked data that allow progress to be observed, and governance that allows channels to be managed together rather than by separate teams with separate objectives. Where these requirements are unmet, coordination exists in intention but not in practice, and the programme's measurement continues to describe a collection of activities rather than a pathway toward an outcome.

Reach overlap analysis begins with a simple question that has far-reaching implications: of the people the programme reached, how many were reached more than once? The answer determines whether additional channel investment is expanding the audience or reinforcing contact with people already engaged. A programme that adds a channel with essentially the same audience as its existing channels increases gross reach while leaving net reach unchanged, which may strengthen the message for those reached but does not extend the programme's coverage. A channel that reaches a different audience increases net reach and broadens coverage, which may be valuable even if it reaches fewer people per unit of cost. Neither outcome is inherently better; the point is that they are different, and a programme cannot choose between them unless it measures overlap. Estimating overlap requires either individual-level linkage across channels or statistical techniques that infer uniqueness from marginal reach figures, and the method chosen should be reported because it affects the conclusions.

Journey completion analysis complements overlap by describing progression rather than mere contact. A programme may define its journey in several ways, from awareness to enquiry, from enquiry to referral, from referral to appointment, or from awareness all the way to a completed service contact. Each definition yields a different measure of success and identifies a different set of channels as important. The programme's decision context should determine the definition; a service seeking to increase completed visits should measure progression to a visit, while a programme seeking to improve understanding should measure progress toward comprehension. Recording intermediate steps allows the programme to see where people disengage, which is more useful than a single completion rate because it localises the difficulty. A low overall completion rate may reflect a problem at any stage, and interventions differ accordingly. Measuring the stages separately turns a disappointing headline figure into a diagnostic finding.

Attribution rules deserve particular scrutiny in omnichannel settings because they determine how channels are judged and funded. The common practice of crediting the last touchpoint before an action rewards channels that appear late in the journey and disadvantages those that build awareness or trust. This bias can lead a programme to under-invest in the channels that create the conditions for action and over-invest in those that capture it. Alternative rules distribute credit differently, and the choice among them should reflect the decision the measurement is meant to inform. A programme optimising a specific conversion may reasonably favour later touchpoints, while a programme building durable engagement may prefer a rule that recognises early contributions. Whatever rule is chosen should be declared in advance and applied consistently, so that results are comparable across channels, programmes and periods. Transparency about attribution also improves accountability, because readers can see how credit was allocated and can judge whether the allocation matches their understanding of the programme.

Data linkage is the technical foundation of omnichannel measurement and the source of its most difficult constraints. Linking records across channels requires identifiers that persist across touchpoints, agreements that permit data sharing, and processes that resolve conflicts and duplicates. Privacy regulations and audience expectations limit what can be linked, and some channels, such as broadcast or anonymous digital content, cannot be linked at all. Where linkage is partial, the programme observes some channels directly and infers others, and the resulting picture is incomplete in ways that affect interpretation. The framework therefore recommends documenting which channels are linked, which are estimated and which are excluded, and reporting the limitations this imposes. Where individual-level linkage is impossible, aggregated measures of delivery and coverage can still be reported alongside participant outcomes, provided the distinction between the two is made explicit. Being honest about linkage limitations is more useful than presenting an artificially complete picture.

Channel roles should be defined explicitly in an omnichannel programme so that each channel is managed against the task it performs best. Some channels are suited to awareness, others to explanation, others to conversion, and others to support and follow-up. A programme that tries to make every channel perform every task will manage none of them well and will be unable to interpret its results. Defining roles allows the programme to set appropriate expectations for each channel, to select measures that reflect the channel's purpose, and to evaluate contribution in terms of the role rather than against a uniform standard. It also clarifies how channels relate to one another, since a support channel that resolves questions generated by an awareness channel is contributing to completion even though it may not itself generate contacts. Where roles are defined, coordination becomes a matter of managing transitions between channels rather than of managing each channel in isolation.

Frequency and repetition deserve explicit attention because they affect both reach and effect. Repeated exposure can reinforce a message and increase the likelihood of action, but it can also produce fatigue and reduce attention where content is unchanged. The optimal frequency depends on the message, the audience and the channel, and it is rarely constant across a campaign. A programme that reports gross reach without distinguishing repetition from uniqueness cannot tell whether its audience is being reached repeatedly or whether new people are being reached. Measuring the distribution of exposure, including the proportion of the audience reached once, twice or many times, gives a more informative picture than an average. Where repetition is high and unique reach is low, the programme may benefit more from broadening its channel mix than from increasing volume in existing channels, and the evidence to support that judgement comes from measuring overlap rather than from counting contacts.

Timing and sequencing affect progression through a journey, and their importance is easily overlooked when channels are planned independently. A person who receives a message at a point when they are ready to act may progress quickly, while the same message received at a different time may be set aside. Coordinating channels allows a programme to place messages where they are most likely to be useful, and to avoid the situation in which several channels deliver similar content at the same time in a way that confuses rather than reinforces. Sequencing also allows a programme to build on earlier exposure, moving from awareness through explanation to support in an order that matches how people make decisions. Where sequencing is planned, the transitions between stages become observable and can be measured, which supports the journey completion analysis described earlier. Where it is absent, progression depends on chance and the programme cannot learn what works.

Reporting practices determine whether omnichannel evidence is usable by the people who must act on it. Reports that present only favourable aggregate figures obscure the distinctions that matter and invite misplaced confidence. Reports that present overlap, progression and segment-level results transparently allow decisions to be made on the basis of what is actually known. Effective reporting states what was measured, how it was linked, which attribution rule was applied and what limitations apply. It distinguishes unique reach from repeated exposure, delivery from consumption and observed from estimated values. It also presents results by population segment where the programme intends to serve a diverse audience. These practices may make a programme appear less successful in the short term than reports that emphasise gross figures, but they produce evidence that supports better decisions and that withstands scrutiny. Over time, honest reporting builds the credibility on which sustained investment in communication depends.

Sustainability of measurement requires that the routine collection of data be built into how programmes operate rather than added as a periodic exercise. Where data collection is treated as a project that ends, the measures it produced cease to be available and the programme loses its ability to observe its own performance. Embedding measurement requires that it be resourced as part of ongoing work, that systems be maintained and that staff be supported to collect and use data. The framework recommends that measurement be designed to be sustainable at the outset, that its burden on staff be considered and that its value be demonstrated so that it justifies continued investment. Where measurement is embedded, a programme can observe change as it occurs and adjust in time to matter, which is the point of measuring in the first place.

The framework's practical contribution is to replace a single, easily inflated measure of activity with a set of measures that describe what a programme has actually achieved. Reach overlap distinguishes expansion from repetition, journey completion distinguishes contact from progress, honest attribution prevents credit from being misallocated and segment-level reporting exposes whether the programme serves its whole intended population. Together these measures support decisions that are grounded in what is known rather than in what is convenient to report.

Adopting such measures may change a programme's conclusions about itself, and it may change how resources are allocated among channels. That is the point. Measurement that never alters a decision is unlikely to be worth its cost, and measurement that alters a decision only when the result is agreeable is not measurement at all. The framework is offered as a structure for decisions that reflect the evidence a programme can genuinely gather.

3.2Discussion of coordination findings and limits

The framework places coordination at the handoff rather than treating the number of channels as the intervention. This produces a more specific evaluation question and a practical diagnostic record. An observed loss between sending and receipt invites investigation of routing, response or documentation. It does not automatically identify low patient motivation or ineffective messaging [235–241, 251–270].

Channel comparisons require information about composition and opportunity. People who use several channels differ from people who use one, and programmes might offer different routes according to need. Adjusting observed characteristics does not remove every source of selection. Reports should separate assigned interventions, received contacts and completed outcomes, rather than using the observed path as proof of a treatment effect [242, 243].

The framework is limited by record linkage, incomplete exposure observation and uncertain population denominators. It has not been tested as a measurement instrument, and the selected literature does not establish the relative cost-effectiveness of the proposed channel portfolio. A pilot should audit linkage errors, unresolved handoffs and recording burden before making a causal comparison. The objective is trustworthy journey measurement, rather than a larger dashboard of channel activity.

The framework reframes omnichannel health communication as a problem of coordination rather than accumulation. Adding channels increases activity and cost, but it does not automatically increase the proportion of the intended population that is reached. Where audiences overlap, the same people are counted repeatedly and the incremental value of each additional channel is overstated. Reach overlap analysis addresses this directly by measuring how much of the audience is reached once, twice or many times, allowing programme managers to distinguish genuine expansion from duplicated contact. Journey completion analysis addresses the complementary question of whether the people reached progress toward the intended action. Used together, the two measures give a more honest picture of performance than aggregated activity counts and expose the common situation in which heavy channel investment produces broad contact but little completion. This distinction between reach and progress is central to designing communication that supports access rather than merely generating awareness.

Attribution deserves careful treatment because it determines how channel contributions are interpreted and rewarded. Where a journey passes through several touchpoints, the final channel before an action often receives credit that properly belongs to earlier stages, while awareness-building channels appear ineffective because their contribution is invisible in completion data. The framework recommends that attribution rules be specified in advance and that they reflect the decision the programme is trying to inform. For a programme seeking to increase access, the most useful question is which combination of channels moves a person from awareness to a completed step, not which single channel deserves credit for a purchase-like transaction. Reporting channel effects without stating the attribution rule invites disputes and can misdirect investment toward activities that capture credit rather than create value. Transparent rules also allow results to be compared across programmes and periods, which is essential if omnichannel practice is to accumulate reliable evidence.

The framework has practical implications for how equity is monitored. A programme can achieve strong aggregate reach while systematically missing the populations that most need its services, particularly where digital channels dominate and connectivity, literacy or language barriers exclude segments of the intended audience. Overlap analysis helps here as well, because it reveals whether expansion is reaching new people or re-contacting those already engaged. When reach is concentrated in already-served groups, the programme should reconsider channel mix, message design and supporting access routes rather than simply increasing volume. Measuring journey completion by population segment exposes where progress stops and why, allowing interventions to be targeted at specific transitions rather than applied uniformly. This equity lens converts omnichannel measurement from a marketing optimisation exercise into a tool for accountable service design. It also aligns communication planning with the practical obstacles audiences face when they attempt to act on health information.

Finally, the framework recognises that measurement itself requires infrastructure and discipline. Linking data across channels raises privacy and consent questions that must be resolved before analytics are built, and incomplete linkage can bias results if some channels cannot contribute data. The framework therefore recommends that programmes document which channels are linked, which are estimated and which are excluded, and that they report the limitations this imposes on conclusions. Repeated exposure should be distinguished from unique reach, and assigned delivery should be separated from reported consumption. Where individual-level linkage is not feasible, aggregated delivery statistics can still be reported alongside participant outcomes, provided the distinction is made explicit. These practices increase the credibility of omnichannel evaluation and reduce the risk that technical limitations are hidden behind confident-sounding aggregate figures. Building this measurement capability is itself an investment that improves over time as data quality and linkage methods mature.

Applying the framework in practice requires decisions about what counts as a completed journey and where the boundaries of the system lie. Programmes differ in whether completion means reaching information, requesting a service or receiving it, and the choice of endpoint determines which channels appear effective. The framework recommends that the endpoint be defined by the decision the programme is meant to inform, and that intermediate steps be recorded so that progress can be observed even where the final outcome is slow to materialise. It also recommends that the system boundary be stated explicitly, because channels outside the measured set may contribute substantially to outcomes without appearing in the data. Where a partner organisation handles part of the journey, its contribution should be included or its absence acknowledged in the reporting. Stating boundaries and endpoints in advance prevents results from being reinterpreted after the fact, and it makes comparisons across programmes more meaningful because readers know what each figure represents. As omnichannel practice matures, consistent conventions of this kind will be as important as the analytic techniques themselves in producing evidence that accumulates rather than merely accumulating reports.

The framework's value ultimately depends on whether programme teams are willing to accept that reach and progress are different things and to measure them separately. That acceptance has organisational consequences, because it may reveal that long-standing investment in a heavily used channel contributes little to completion while an unglamorous access route does most of the work. Honest measurement of this kind is uncomfortable but necessary if resources are to be directed toward the channels and supports that actually help people act on health information. The framework therefore calls for measurement practices that are transparent, comparable across programmes and explicit about their limitations, so that omnichannel communication is managed on the basis of evidence rather than on the basis of activity totals that flatter every channel equally.

4Conclusion

This paper has argued that omnichannel health communication should be evaluated through reach overlap and journey completion rather than through aggregated activity counts. Reach overlap reveals the extent to which additional channels reach new audiences or re-contact people already engaged, while journey completion shows whether those reached progress toward the intended action. Together these measures distinguish genuine expansion from duplicated contact and provide a more honest account of performance than raw channel totals. The framework additionally emphasises that attribution rules must be declared in advance so that channel contributions are interpreted consistently and investment is directed toward activities that create value rather than those that merely capture credit. It applies an equity lens by measuring reach and progress across population segments, exposing where digital-first strategies exclude the very groups they are meant to serve. Finally, it acknowledges that credible measurement depends on data linkage, consent and transparent reporting of what was observed, estimated or excluded. The framework is offered as a practical structure for accountable programme design, and its usefulness will be confirmed through application in settings where channel mix, audience diversity and access barriers can be examined together over time. Adopting shared conventions for endpoints and boundaries will determine whether omnichannel evaluation produces knowledge that accumulates across programmes.

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